2019 Fantasy Baseball Projections for Hitters – Steamer/Razzball Projections

Updated: 2019-03-24 01:25:21 PM EST | Maintained by


Click headers to sort. Use text boxes to filter results & < or > to filter data (e.g., <30). Games, PA, AB, Runs, and RBI projected by Rudy Gamble of Razzball. See more in footnotes.

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# Name Team Bats ESPN YAHOO G PA AB R HR RBI SB H 1B 2B 3B TB SO BB HBP SF SH CS AVG OBP SLG OPS
Andrew Benintendi BOS L OF OF 149 685 598 102.6 18.7 79.0 18.7 170.4 107.7 39.5 4.5 275.0 106.5 72.3 5.0 4.6 5.1 6.7 0.285 0.364 0.460 0.824
Whit Merrifield KC R 2B/OF 1B/2B/ OF 148 671 609 83.3 11.9 60.3 31.0 167.7 114.9 37.7 3.2 247.6 111.9 46.2 5.3 4.4 5.6 10.1 0.275 0.329 0.407 0.736
Lorenzo Cain MIL R OF OF 146 671 593 90.9 15.2 62.5 22.9 168.4 120.2 30.2 2.8 249.8 114.0 61.4 7.0 4.3 5.5 6.2 0.284 0.356 0.421 0.777
Trea Turner WSH R SS SS 146 669 600 96.8 17.3 68.6 42.1 171.6 116.4 31.9 6.0 267.3 121.1 54.9 4.8 4.4 5.3 11.2 0.286 0.348 0.446 0.794
Charlie Blackmon COL L OF OF 148 669 595 100.8 25.3 76.6 12.8 170.6 109.1 29.6 6.5 289.2 125.6 54.6 9.3 4.3 5.8 4.8 0.287 0.353 0.486 0.839
Matt Carpenter STL L 1B/3B 1B/2B/ 3B 147 669 551 96.3 25.7 75.5 4.1 138.9 76.8 35.0 1.3 253.7 146.4 101.8 7.2 4.4 4.6 1.7 0.252 0.374 0.460 0.834
Mookie Betts BOS R OF OF 148 668 578 113.2 29.0 93.9 25.0 174.8 101.0 41.4 3.3 309.9 90.0 75.9 5.2 4.5 4.8 7.5 0.302 0.386 0.536 0.922
Alex Bregman HOU R SS/3B SS/3B 149 667 574 98.0 26.1 92.5 11.0 159.9 91.6 40.0 2.3 282.7 88.6 76.2 9.0 4.8 2.8 4.5 0.279 0.369 0.493 0.861
Ender Inciarte ATL L OF OF 149 667 604 72.0 9.5 62.3 24.3 165.5 123.3 28.0 4.8 231.6 89.2 48.6 4.9 4.7 4.6 9.8 0.274 0.330 0.383 0.714
Christian Yelich MIL L OF OF 148 666 578 98.5 27.2 88.7 15.4 170.9 105.2 34.3 4.1 295.1 137.4 73.8 6.6 4.9 2.6 5.5 0.295 0.379 0.511 0.890
George Springer HOU R OF OF 146 664 573 97.7 27.1 77.2 8.7 150.3 93.6 28.6 1.0 262.2 135.9 72.3 9.0 4.2 5.9 3.6 0.262 0.352 0.458 0.810
Jose Ramirez CLE S 3B 2B/3B 149 664 574 97.1 26.8 97.1 23.5 163.5 92.9 40.4 3.4 291.2 75.1 77.4 5.9 5.0 1.6 8.8 0.285 0.373 0.507 0.880
Manny Machado SD R SS SS/3B 149 661 590 90.2 33.6 97.0 9.2 164.3 97.2 30.8 2.7 301.3 107.2 61.6 3.5 4.9 1.3 3.8 0.279 0.348 0.511 0.859
Nolan Arenado COL R 3B 3B 149 657 583 97.6 36.6 108.9 3.1 166.8 89.8 37.2 3.3 320.3 112.5 64.0 3.8 4.9 0.9 1.6 0.286 0.358 0.549 0.907
Nicholas Castellanos DET R OF OF 149 655 595 81.4 24.1 91.2 3.3 163.6 97.1 37.4 5.0 283.4 145.3 48.3 6.3 4.7 1.2 1.7 0.275 0.333 0.477 0.810
Javier Baez CHC R 2B/SS/ 3B 2B/SS/ 3B 149 655 607 85.0 30.5 98.5 17.5 163.6 96.6 31.5 5.0 296.7 165.6 34.9 6.7 4.8 1.9 7.4 0.270 0.314 0.489 0.803
Jose Altuve HOU R 2B 2B 146 655 585 91.0 16.9 80.3 18.1 176.7 121.7 35.2 2.9 268.5 85.3 54.4 8.2 4.7 3.0 5.4 0.302 0.367 0.459 0.826
Jean Segura PHI R SS SS 146 655 602 82.6 14.1 64.4 20.7 170.7 123.1 30.7 2.8 249.3 89.3 36.1 7.4 4.5 4.6 7.7 0.284 0.329 0.414 0.743
Amed Rosario NYM R SS SS 149 655 606 64.9 11.9 64.5 24.4 158.7 111.4 28.3 7.1 236.8 125.4 34.0 4.6 4.9 5.0 10.1 0.262 0.303 0.391 0.694
Paul Goldschmidt STL R 1B 1B 148 655 549 91.3 26.9 89.4 10.7 152.1 92.2 30.4 2.5 268.3 151.5 92.1 7.4 4.8 1.2 3.9 0.277 0.385 0.488 0.873
Brian Anderson MIA R 3B/OF 3B/OF 149 654 581 68.9 15.8 69.1 3.6 150.8 101.4 30.3 3.4 235.2 134.2 55.6 11.1 4.8 1.7 1.7 0.259 0.333 0.405 0.739
Bryce Harper PHI L OF OF 146 651 525 98.8 37.5 99.7 10.6 136.9 71.2 27.3 0.9 278.4 153.1 115.0 4.7 4.9 1.1 4.7 0.260 0.395 0.530 0.925
Eddie Rosario MIN L OF OF 146 651 605 83.3 25.6 91.1 8.9 167.7 105.0 34.7 2.3 283.9 121.8 36.0 2.8 4.8 2.0 4.2 0.277 0.318 0.469 0.787
Matt Chapman OAK R 3B 3B 146 649 575 84.8 28.3 88.0 4.0 141.9 76.1 33.3 4.2 268.6 167.9 59.5 7.4 4.8 2.4 1.9 0.247 0.323 0.467 0.791
Anthony Rizzo CHC L 1B 1B 148 649 548 94.2 29.4 92.7 6.7 153.2 89.9 32.0 1.9 277.1 91.3 77.0 17.1 4.6 1.9 3.2 0.279 0.382 0.505 0.887
Mitch Haniger SEA R OF OF 145 647 569 81.2 23.3 79.3 6.7 147.0 90.6 30.4 2.7 252.7 143.7 60.8 9.6 4.7 2.7 2.9 0.258 0.337 0.444 0.781
Eric Hosmer SD L 1B 1B 148 647 572 76.7 22.1 79.6 6.4 153.1 100.4 29.0 1.6 251.7 128.3 66.6 1.9 4.7 1.4 2.8 0.268 0.343 0.439 0.783
Starling Marte PIT R OF OF 146 647 590 82.9 18.0 73.0 34.2 166.5 112.3 32.0 4.2 260.8 122.9 36.8 11.8 4.7 3.3 12.1 0.282 0.334 0.442 0.776
Mike Trout LAA R OF OF 143 643 504 115.3 38.5 103.3 19.7 151.3 80.5 28.8 3.5 302.6 127.3 121.2 9.7 4.7 3.0 6.4 0.300 0.441 0.600 1.041
Trey Mancini BAL R 1B/OF 1B/OF 148 643 586 73.8 24.5 83.2 1.5 152.4 98.0 26.7 3.3 259.0 155.9 44.0 6.3 4.7 1.6 0.7 0.260 0.317 0.442 0.758
Ronald Acuna Jr. ATL R OF OF 146 643 573 92.9 27.8 80.7 23.6 159.8 98.2 30.0 3.8 280.9 155.8 55.6 5.9 4.2 4.6 9.6 0.279 0.346 0.490 0.837
Ozzie Albies ATL S 2B 2B 151 640 585 79.4 19.5 76.2 15.6 160.4 101.9 33.9 5.2 263.1 104.9 41.0 5.4 4.6 3.6 5.9 0.274 0.325 0.450 0.775
Justin Upton LAA R OF OF 146 640 561 81.6 29.6 90.7 8.0 136.0 78.5 26.9 1.1 253.9 190.9 66.3 6.3 4.7 1.3 3.2 0.242 0.327 0.452 0.779
Freddie Freeman ATL L 1B 1B 145 640 550 88.6 25.9 89.9 7.7 156.6 92.0 35.9 2.8 275.9 131.0 76.9 7.7 4.8 1.0 3.4 0.285 0.378 0.502 0.879
Eduardo Escobar ARI S SS/3B SS/3B 148 640 578 73.9 19.1 73.2 4.5 145.8 86.5 36.0 4.2 247.6 130.2 49.6 5.4 4.6 2.7 2.2 0.253 0.315 0.429 0.744
Anthony Rendon WSH R 3B 3B 146 639 555 86.4 23.0 87.0 4.8 159.4 96.5 38.3 1.6 269.9 97.7 70.3 7.3 4.7 1.6 2.1 0.287 0.372 0.486 0.858
Juan Soto WSH L OF OF 149 637 538 91.9 28.5 92.3 6.8 156.4 95.8 29.6 2.4 276.4 119.9 88.7 3.4 4.8 1.9 3.1 0.291 0.391 0.514 0.905
Jeimer Candelario DET S 3B 3B 148 636 558 76.4 19.4 69.9 3.5 133.6 80.0 31.2 3.0 229.0 150.9 63.6 7.2 4.4 3.2 1.6 0.239 0.323 0.411 0.734
Kris Bryant CHC R 3B/OF 3B/OF 143 636 533 93.9 28.3 87.9 6.5 146.6 83.6 31.7 2.9 269.2 137.6 81.5 14.8 4.6 2.2 3.1 0.275 0.383 0.505 0.888
David Peralta ARI L OF OF 146 636 572 80.4 22.1 78.1 4.8 160.0 102.6 30.6 4.7 266.2 125.4 50.4 6.3 4.5 2.6 2.0 0.279 0.342 0.465 0.808
Giancarlo Stanton NYY R OF OF 146 635 553 99.7 46.7 118.1 2.9 148.1 74.7 25.9 0.8 315.7 180.0 69.7 7.1 4.5 1.1 1.2 0.268 0.355 0.572 0.926
Jesus Aguilar MIL R 1B 1B 148 634 565 77.0 30.2 90.3 0.8 136.2 79.0 25.9 1.1 255.0 168.6 56.4 6.6 4.6 1.3 0.3 0.241 0.315 0.452 0.766
Trevor Story COL R SS SS 148 634 570 88.0 31.6 100.0 18.9 154.5 83.0 35.7 4.2 293.4 173.2 51.6 5.9 4.5 1.5 7.3 0.271 0.335 0.514 0.849
Michael Conforto NYM L OF OF 145 634 544 77.6 27.4 83.5 4.1 131.6 75.6 27.2 1.4 243.9 158.2 76.0 8.1 4.7 1.5 2.0 0.242 0.341 0.448 0.789
Starlin Castro MIA R 2B 2B 145 634 586 65.7 14.7 62.9 5.2 155.8 108.6 30.5 2.0 234.4 123.4 36.9 3.9 4.5 3.2 2.3 0.266 0.312 0.400 0.712
Jorge Polanco MIN S SS SS 148 633 570 81.6 14.2 65.0 15.4 155.3 104.5 31.7 4.9 239.5 102.5 49.4 4.3 4.3 4.6 7.2 0.273 0.333 0.420 0.753
Nomar Mazara TEX L OF OF 146 633 569 78.4 25.4 88.5 2.0 153.5 98.6 27.8 1.8 261.0 126.0 52.0 5.7 4.6 1.4 1.0 0.270 0.334 0.458 0.792
Andrew McCutchen PHI R OF OF 145 633 539 86.1 27.4 83.4 11.4 142.0 84.9 27.4 2.2 256.2 137.5 79.8 7.1 4.6 2.8 5.2 0.264 0.363 0.475 0.838
Joey Gallo TEX L 1B/OF 1B/OF 149 630 536 87.1 40.9 99.6 6.3 119.1 54.5 21.9 1.8 267.3 216.8 81.3 6.3 4.7 1.8 2.9 0.223 0.329 0.499 0.828
Eloy Jimenez CHW R OF OF 148 629 579 79.4 27.9 93.5 2.5 169.8 107.7 31.6 2.7 290.3 113.1 40.1 4.3 4.7 1.2 1.2 0.293 0.342 0.502 0.843
Yoan Moncada CHW S 2B 2B 145 628 547 74.8 18.5 64.0 15.6 129.0 81.5 25.0 4.1 217.6 186.2 69.3 3.6 4.4 3.9 6.3 0.236 0.324 0.398 0.722
Rhys Hoskins PHI R OF 1B/OF 148 628 536 87.1 35.0 96.5 5.1 133.4 70.2 27.2 1.0 267.5 140.7 78.7 7.6 4.4 1.3 2.4 0.249 0.350 0.499 0.849
Khris Davis OAK R DH OF 146 627 554 85.0 38.3 101.8 1.3 132.5 66.8 26.1 1.3 276.2 177.0 59.2 8.8 4.4 0.9 0.6 0.239 0.321 0.499 0.819
Xander Bogaerts BOS R SS SS 146 626 557 84.3 19.4 85.0 9.5 159.4 101.6 35.7 2.8 258.9 109.0 56.4 6.1 4.7 1.9 3.7 0.286 0.356 0.464 0.820
Rougned Odor TEX L 2B 2B 146 626 570 76.5 27.4 84.1 15.5 141.7 83.7 27.9 2.7 257.1 140.7 41.1 8.1 4.6 2.6 8.2 0.249 0.306 0.452 0.758
Justin Smoak TOR S 1B 1B 145 626 540 78.5 27.7 84.3 1.2 128.8 72.5 27.9 0.7 241.3 157.2 77.2 3.6 4.6 1.0 0.6 0.239 0.335 0.447 0.782
Elvis Andrus TEX R SS SS 142 625 569 68.7 11.0 64.2 13.7 151.3 104.0 32.6 3.7 224.1 93.0 44.0 4.9 4.4 2.8 5.8 0.266 0.322 0.394 0.716
Eugenio Suarez CIN R 3B 3B 146 623 540 79.8 27.8 88.4 3.6 138.6 83.6 25.2 1.9 251.2 146.1 68.5 8.7 4.5 1.5 1.8 0.257 0.347 0.465 0.812
Aaron Judge NYY R OF OF 141 623 518 95.2 35.2 91.3 7.2 129.8 71.8 21.8 1.1 259.3 189.7 91.8 5.5 4.5 2.8 3.1 0.251 0.367 0.501 0.867
Aaron Hicks NYY S OF OF 141 622 529 84.8 22.6 73.3 10.9 130.8 81.7 24.0 2.5 227.7 121.7 80.7 4.7 4.2 3.5 4.4 0.247 0.350 0.430 0.780
Andrelton Simmons LAA R SS SS 148 621 569 69.4 11.2 66.1 10.7 157.3 113.5 29.2 3.4 226.8 57.6 40.1 4.5 4.4 3.0 4.1 0.277 0.327 0.399 0.725
Josh Bell PIT S 1B 1B 146 621 539 74.3 19.1 77.5 4.9 145.8 94.3 28.9 3.6 239.1 112.3 74.2 2.3 4.5 1.4 2.8 0.271 0.359 0.444 0.803
J.D. Martinez BOS R OF OF 143 620 546 96.2 37.2 113.3 4.0 162.3 89.7 33.5 1.9 311.2 152.7 64.9 3.6 4.5 0.9 1.8 0.297 0.372 0.569 0.942
Cesar Hernandez PHI S 2B 2B 146 619 531 74.5 9.6 50.2 14.6 136.0 101.5 21.0 4.0 193.8 126.6 74.4 4.2 4.1 5.3 5.6 0.256 0.350 0.365 0.715
Carlos Santana CLE S 1B 1B/3B 145 618 516 83.0 23.8 81.7 2.9 130.1 76.2 28.3 1.8 233.3 88.2 92.0 3.5 4.5 1.8 1.2 0.252 0.366 0.452 0.819
Jose Abreu CHW R 1B 1B 142 617 559 78.7 27.8 91.3 2.0 156.7 93.9 33.0 2.0 277.2 119.5 41.4 11.7 4.5 0.8 0.9 0.280 0.341 0.496 0.837
Chris Taylor LAD R SS/OF 2B/SS/ OF 146 616 548 70.8 13.9 60.5 12.1 135.2 85.1 31.0 5.2 218.2 164.0 53.2 6.5 4.2 4.5 4.8 0.246 0.319 0.399 0.718
Brandon Crawford SF L SS SS 146 616 553 60.1 14.5 66.8 5.6 140.9 91.9 31.8 2.7 221.6 124.1 50.9 5.3 4.4 2.2 2.7 0.255 0.321 0.401 0.722
Jonathan Villar BAL S 2B 2B/SS 141 615 548 75.7 16.1 58.0 33.8 137.4 94.7 24.9 1.7 214.0 160.0 54.4 3.5 4.1 4.7 10.1 0.251 0.320 0.390 0.710
Jose Peraza CIN R SS SS 144 614 569 70.6 10.8 60.9 22.3 159.5 118.7 26.3 3.6 225.5 73.7 27.7 8.7 4.2 4.1 7.9 0.280 0.321 0.396 0.717
Joey Votto CIN L 1B 1B 140 614 495 84.9 20.6 76.2 2.5 137.6 88.8 26.6 1.6 229.3 100.3 105.6 7.3 4.6 1.3 1.0 0.278 0.409 0.463 0.872
Carlos Correa HOU R SS SS 142 610 531 81.3 24.4 86.1 4.3 140.2 84.2 29.8 1.8 246.6 127.0 68.5 4.4 4.4 1.4 1.6 0.264 0.350 0.464 0.814
Brandon Nimmo NYM L OF OF 142 608 508 76.3 15.1 53.5 9.4 121.6 76.9 25.0 4.6 201.1 156.3 79.2 11.7 4.0 4.9 4.1 0.239 0.353 0.396 0.749
Stephen Piscotty OAK R OF OF 143 608 537 75.1 21.4 76.8 3.9 139.5 83.7 33.3 1.1 239.3 123.7 53.3 10.7 4.5 2.1 1.9 0.260 0.336 0.445 0.781
Evan Longoria SF R 3B 3B 142 608 558 65.3 20.4 77.6 3.4 142.4 88.6 30.3 3.2 240.1 115.4 38.1 5.6 4.6 1.3 1.5 0.255 0.307 0.430 0.737
Jake Bauers CLE L 1B/OF 1B/OF 144 605 523 72.2 18.1 72.8 15.0 127.2 78.9 29.0 1.3 213.1 140.1 70.3 5.1 4.5 1.8 7.6 0.243 0.336 0.407 0.743
Victor Robles WSH R OF OF 149 605 545 72.6 12.9 62.4 29.4 148.4 101.4 29.6 4.5 225.8 110.4 39.3 12.5 4.3 4.4 12.1 0.273 0.334 0.415 0.749
Travis Shaw MIL L 2B/3B 1B/2B/ 3B 143 604 529 74.8 26.9 84.9 5.3 131.2 76.6 26.8 0.8 240.4 129.4 64.7 5.0 4.4 1.1 2.3 0.248 0.333 0.455 0.788
Marcell Ozuna STL R OF OF 143 602 546 76.5 26.8 91.4 2.2 157.5 102.4 25.8 2.5 268.8 114.6 46.5 3.7 4.3 1.1 1.1 0.288 0.346 0.492 0.837
Kevin Pillar TOR R OF OF 143 602 560 64.8 14.3 65.0 14.1 144.1 92.2 35.8 1.7 226.3 103.9 27.8 6.9 4.4 3.4 4.9 0.257 0.299 0.405 0.703
Nelson Cruz MIN R DH DH 140 601 528 86.7 35.1 101.6 1.2 149.0 87.8 24.9 1.2 281.6 131.0 57.4 10.3 4.2 0.9 0.6 0.282 0.361 0.533 0.894
Francisco Lindor CLE S SS SS 131 600 531 92.1 26.6 80.1 18.1 152.0 91.2 32.3 1.9 267.9 79.6 55.5 5.3 4.0 4.4 7.1 0.286 0.357 0.505 0.862
Gleyber Torres NYY R 2B/SS 2B/SS 145 600 535 73.9 22.9 77.0 9.3 137.2 88.8 23.3 2.1 233.3 138.4 52.2 5.8 4.4 3.1 4.4 0.256 0.327 0.437 0.764
Dee Gordon SEA L 2B/OF 2B/SS/ OF 146 600 564 63.6 3.7 48.6 33.0 153.9 122.3 21.6 6.3 199.3 88.7 19.9 7.1 4.3 5.1 10.6 0.273 0.304 0.354 0.658
Kole Calhoun LAA L OF OF 146 598 525 75.1 19.9 66.1 5.8 127.7 81.3 24.0 2.6 216.4 130.5 59.5 5.2 4.1 4.4 2.3 0.243 0.324 0.412 0.737
Mallex Smith SEA L OF OF 140 598 533 71.5 5.6 45.6 37.1 139.5 102.5 25.2 6.2 193.8 120.4 49.9 5.9 3.9 5.3 13.3 0.261 0.329 0.363 0.693
Marcus Semien OAK R SS SS 145 593 531 69.4 17.0 65.3 11.4 131.9 84.5 28.7 1.8 215.1 118.4 51.4 2.6 4.3 3.5 3.9 0.248 0.315 0.405 0.720
Tommy Pham TB R OF OF 138 593 509 75.7 20.0 70.3 16.0 130.0 85.2 20.9 4.0 218.7 155.7 70.1 7.2 4.2 2.4 6.2 0.255 0.351 0.429 0.781
Cedric Mullins BAL S OF OF 138 593 539 71.1 15.6 58.2 15.6 138.8 91.4 28.1 3.7 221.2 99.8 40.9 4.4 3.9 5.1 5.6 0.257 0.313 0.411 0.724
Jonathan Schoop MIN R 2B 2B/SS 143 592 551 72.2 26.0 84.4 2.0 146.5 88.1 31.1 1.2 258.2 128.0 27.2 7.2 4.3 2.1 0.9 0.266 0.307 0.469 0.775
Tim Anderson CHW R SS SS 146 592 556 64.2 15.9 62.2 20.1 140.5 94.8 26.8 3.0 221.0 146.2 24.9 3.5 4.2 3.8 6.9 0.253 0.287 0.398 0.685
Daniel Murphy COL L 2B 1B/2B 137 592 538 82.3 21.2 81.5 3.1 164.5 104.0 36.4 2.9 270.3 74.6 41.8 5.3 4.3 2.4 1.4 0.305 0.359 0.502 0.861
Adam Jones ARI R OF OF 137 592 551 64.5 20.0 75.2 3.9 148.1 98.1 29.0 0.9 239.2 104.1 28.4 6.1 4.3 1.8 1.6 0.269 0.310 0.434 0.743
A.J. Pollock LAD R OF OF 134 592 533 74.6 20.3 70.4 16.5 134.1 81.3 29.7 2.9 230.3 115.9 43.8 7.8 4.1 3.0 5.2 0.251 0.315 0.432 0.747
Yolmer Sanchez CHW S 3B 2B/3B 142 591 536 61.6 11.1 58.0 11.5 130.7 87.6 25.9 6.2 202.2 124.7 40.9 6.0 4.4 3.3 5.5 0.244 0.302 0.377 0.679
Cody Bellinger LAD L 1B/OF 1B/OF 143 590 515 78.6 29.2 88.7 9.9 132.0 73.7 25.0 4.1 253.0 136.5 65.5 3.7 4.3 1.4 3.7 0.256 0.342 0.491 0.833
Jed Lowrie NYM S 2B 2B/3B 137 590 517 68.5 15.6 58.5 0.8 125.7 80.3 28.7 1.2 203.4 112.0 62.5 3.4 4.3 2.9 0.4 0.243 0.326 0.394 0.720
Wil Myers SD R 3B/OF 3B/OF 137 589 520 71.7 22.6 71.2 17.0 124.6 72.8 27.3 1.9 223.6 156.7 58.4 4.2 4.4 2.1 5.7 0.240 0.319 0.430 0.749
Jurickson Profar OAK S 1B/SS/ 3B 1B/2B/ SS/3B 144 588 520 72.8 15.8 65.8 7.4 133.7 84.3 29.6 3.9 218.8 87.8 52.9 8.4 4.2 2.9 2.8 0.257 0.333 0.421 0.755
Mike Moustakas MIL L 3B 3B 143 588 534 74.8 30.5 89.4 2.6 138.7 80.6 26.6 0.9 258.7 97.6 43.0 5.3 4.3 1.4 1.2 0.260 0.318 0.484 0.803
Domingo Santana SEA R OF OF 142 587 511 65.6 19.9 67.8 7.4 120.4 75.3 23.8 1.4 206.9 192.4 64.2 5.5 4.4 1.9 3.3 0.236 0.325 0.405 0.730
Jackie Bradley Jr. BOS L OF OF 146 587 514 73.7 17.3 70.8 12.3 127.5 76.3 30.3 3.5 216.8 143.5 55.4 9.4 4.4 3.6 4.1 0.247 0.330 0.422 0.752
Josh Donaldson ATL R 3B 3B 134 586 494 82.5 27.3 78.2 3.8 127.2 72.6 26.2 1.1 237.5 127.5 80.6 5.0 4.2 2.5 1.5 0.257 0.365 0.481 0.846
Paul DeJong STL R SS SS 138 586 534 68.6 24.3 80.2 2.4 135.3 81.0 28.7 1.4 239.4 145.5 37.5 8.4 4.5 1.8 1.1 0.253 0.310 0.448 0.759
Jason Kipnis CLE L 2B 2B/OF 140 586 521 69.8 15.2 64.0 6.9 128.4 80.4 31.5 1.4 208.2 116.7 52.1 5.9 4.2 3.3 2.5 0.247 0.320 0.400 0.720
Brandon Belt SF L 1B 1B/OF 136 584 495 69.4 18.3 68.2 3.8 124.6 74.4 28.7 3.2 214.7 137.2 77.5 5.8 4.3 1.6 1.8 0.252 0.357 0.434 0.792
Corey Dickerson PIT L OF OF 141 584 542 69.0 20.1 77.7 5.8 148.4 91.5 32.6 4.2 249.7 115.3 31.1 4.3 4.3 1.9 2.9 0.274 0.316 0.461 0.776
Brian Dozier WSH R 2B 2B 143 584 512 70.7 22.5 74.6 10.6 123.5 73.1 26.2 1.8 220.8 121.3 59.6 6.3 4.2 2.3 3.8 0.241 0.326 0.431 0.757
Adalberto Mondesi KC S SS 2B/SS 139 583 543 72.4 20.5 68.7 40.6 137.3 84.5 26.4 5.8 236.8 147.5 28.8 3.3 4.1 3.7 12.6 0.253 0.292 0.436 0.728
Justin Turner LAD R 3B 3B 135 583 508 76.8 20.3 78.3 3.6 145.2 91.2 32.6 1.2 241.1 83.7 56.2 13.1 4.4 1.1 1.4 0.286 0.369 0.474 0.843
Shin-Soo Choo TEX L OF OF 136 582 494 77.6 18.5 61.5 6.4 125.8 82.9 23.1 1.2 206.8 133.2 72.4 8.1 3.9 4.2 2.5 0.255 0.357 0.419 0.777
Kevin Kiermaier TB L OF OF 136 578 518 65.9 14.8 60.2 17.4 123.4 78.8 22.2 7.6 205.4 134.8 45.2 7.4 4.1 3.8 6.3 0.238 0.307 0.397 0.704
Yasiel Puig CIN R OF OF 138 578 511 77.4 27.3 86.8 14.6 140.7 82.4 29.0 2.0 255.7 114.2 56.2 4.6 4.3 2.0 6.6 0.276 0.350 0.501 0.850
David Fletcher LAA R 2B/3B 2B/SS/ 3B 144 577 536 59.6 6.3 56.1 10.3 145.2 106.5 29.3 3.1 199.7 68.1 27.1 5.7 4.2 3.9 3.6 0.271 0.311 0.372 0.683
Edwin Encarnacion SEA R 1B 1B 137 576 495 73.5 29.9 83.8 1.7 117.0 67.0 18.9 1.2 228.1 133.6 70.5 5.6 4.0 0.9 0.8 0.236 0.336 0.461 0.796
Michael Brantley HOU L OF OF 137 576 518 72.8 16.9 73.8 9.7 146.8 97.1 30.3 2.5 232.8 67.5 47.3 4.3 4.4 2.0 3.1 0.283 0.346 0.449 0.795
Adam Frazier PIT L 2B/OF 2B/OF 136 571 510 67.6 8.7 48.4 9.9 138.4 98.8 27.3 3.6 199.2 82.7 46.1 6.2 3.8 4.9 5.0 0.271 0.337 0.390 0.727
David Dahl COL L OF OF 133 569 521 71.0 21.6 78.7 10.7 140.0 86.9 27.0 4.4 240.7 137.0 38.8 3.6 4.3 1.8 4.7 0.269 0.322 0.463 0.784
Adam Eaton WSH L OF OF 131 568 494 71.6 9.9 54.1 10.3 139.7 98.9 28.6 2.4 202.7 100.6 55.4 10.9 3.9 3.8 4.0 0.283 0.365 0.410 0.776
Alex Gordon KC L OF OF 134 568 500 58.6 14.2 58.3 8.0 118.8 79.4 23.9 1.2 187.8 137.3 52.2 9.7 4.3 1.7 3.3 0.237 0.319 0.375 0.695
Willy Adames TB R SS 2B/SS 144 568 504 60.7 12.5 56.7 9.9 125.0 87.5 20.8 4.2 191.5 144.3 53.2 3.6 4.1 2.9 4.5 0.247 0.321 0.380 0.702
Max Muncy LAD L 1B/3B 1B/2B/ 3B 137 567 481 70.4 23.3 72.6 3.2 113.4 67.8 20.6 1.7 207.3 147.3 74.0 5.9 4.2 1.8 1.5 0.236 0.342 0.431 0.773
Ryan O’Hearn KC L 1B 1B 138 566 505 62.4 21.3 69.7 1.8 118.4 69.9 24.9 2.3 211.8 155.5 52.0 3.6 4.0 1.4 0.8 0.234 0.308 0.420 0.728
Yonder Alonso CHW L 1B 1B 137 565 497 63.5 20.9 68.8 1.0 118.2 74.6 22.2 0.6 204.3 121.9 59.3 3.0 4.2 1.3 0.5 0.238 0.321 0.411 0.731
Kendrys Morales TOR S DH 1B 136 563 501 68.8 25.3 76.7 2.5 124.8 75.1 23.8 0.7 225.8 121.5 51.6 5.2 4.2 1.5 1.1 0.249 0.323 0.451 0.774
Zack Cozart LAA R 3B 2B/SS/ 3B 135 562 501 66.0 15.8 61.4 2.7 121.5 78.2 24.0 3.6 200.0 94.1 48.3 5.6 3.9 3.5 1.0 0.243 0.314 0.400 0.714
Max Kepler MIN L OF OF 141 558 490 68.9 18.9 69.0 6.1 124.4 73.8 28.5 3.2 216.0 99.0 57.0 4.9 4.0 2.1 2.7 0.254 0.335 0.441 0.776
Hunter Dozier KC R 1B/3B 1B/3B 138 557 504 55.0 14.3 58.5 5.3 116.5 72.0 27.0 3.2 192.6 164.9 43.4 3.5 4.1 2.2 2.3 0.231 0.295 0.382 0.677
Miguel Andujar NYY R 3B 3B 138 556 517 70.0 23.1 80.5 3.5 144.1 88.5 30.9 1.5 247.3 86.3 27.6 5.4 4.1 2.0 1.5 0.279 0.320 0.478 0.798
Joe Panik SF L 2B 2B 130 554 495 58.7 9.7 54.3 5.4 137.3 97.0 27.2 3.5 200.4 52.0 47.3 4.8 4.0 3.1 2.2 0.278 0.343 0.405 0.749
Jorge Soler KC R OF OF 132 552 479 65.4 21.6 70.0 3.8 116.9 68.0 26.4 0.9 210.0 156.4 61.4 6.3 4.1 1.2 1.7 0.244 0.336 0.438 0.774
Steven Souza Jr. ARI R OF OF 133 552 479 63.7 20.2 68.0 10.5 114.4 68.7 21.6 3.9 204.4 160.8 60.8 6.7 4.0 1.5 4.3 0.239 0.330 0.427 0.757
Harrison Bader STL R OF OF 138 551 498 58.6 16.4 61.5 14.1 121.5 81.1 22.0 2.0 196.8 153.3 36.4 9.9 4.0 3.2 6.2 0.244 0.306 0.396 0.702
Robinson Cano NYM L 2B 1B/2B 130 550 497 66.6 20.1 72.1 1.0 138.4 89.2 28.4 0.7 228.4 76.8 43.1 5.4 4.2 0.8 0.5 0.278 0.341 0.460 0.800
Ketel Marte ARI S 2B/SS 2B/SS 132 549 490 66.8 11.1 54.3 7.7 137.3 92.0 26.3 7.9 212.6 74.4 47.5 3.5 3.6 3.8 2.8 0.280 0.345 0.434 0.779
Rafael Devers BOS L 3B 3B 139 549 499 70.0 22.5 79.4 5.8 134.6 80.2 30.5 1.4 235.3 123.9 42.0 2.4 3.9 1.8 2.7 0.269 0.327 0.471 0.798
Miguel Cabrera DET R 1B 1B 128 548 477 70.8 21.4 75.4 1.3 134.8 85.0 27.3 1.2 228.5 109.9 62.0 3.9 4.0 1.0 0.6 0.283 0.367 0.479 0.845
Dansby Swanson ATL R SS SS 143 547 483 54.3 12.4 57.7 8.4 120.3 79.4 25.5 2.9 188.9 114.9 52.4 3.2 4.3 3.8 3.7 0.249 0.324 0.390 0.714
Jake Lamb ARI L 3B 3B 130 544 468 64.6 20.0 69.2 5.2 113.9 65.4 25.6 3.0 205.4 137.2 65.5 5.1 4.2 1.3 2.4 0.243 0.340 0.439 0.779
Ryan Braun MIL R OF 1B/OF 130 543 487 70.6 24.4 78.3 12.1 129.4 76.1 27.2 1.6 233.2 105.3 46.5 4.1 4.2 1.1 4.9 0.265 0.332 0.479 0.811
Billy Hamilton KC S OF OF 137 542 490 58.9 4.8 40.9 36.0 118.2 86.8 18.6 8.0 167.2 113.3 41.6 2.0 3.8 4.8 9.6 0.241 0.301 0.341 0.643
Renato Nunez BAL R 3B 3B 137 542 493 58.7 21.2 67.3 1.5 117.2 72.5 22.3 1.2 205.7 137.4 38.0 5.3 4.0 1.8 0.6 0.238 0.297 0.417 0.714
Corey Seager LAD L SS SS 123 541 476 77.0 19.6 65.0 3.4 135.0 84.0 29.5 2.0 227.2 98.1 53.0 4.7 3.9 3.2 1.5 0.284 0.358 0.477 0.835
Ramon Laureano OAK R OF OF 132 540 482 65.7 15.3 56.8 15.9 119.5 76.6 24.7 2.9 196.1 139.7 43.6 6.1 3.8 4.2 5.5 0.247 0.316 0.407 0.723
Luis Urias SD R 2B 2B 129 539 474 57.4 7.6 42.2 4.4 116.8 84.8 20.9 3.4 167.5 108.8 49.3 7.8 3.7 3.9 2.1 0.246 0.325 0.353 0.678
Josh Harrison DET R 2B 2B 126 535 490 60.7 11.5 53.8 7.3 129.4 87.9 26.9 3.0 196.9 92.8 27.2 10.7 3.7 3.7 2.7 0.264 0.315 0.402 0.717
Lewis Brinson MIA R OF OF 133 534 490 52.2 16.0 55.6 6.7 114.4 72.6 20.3 5.6 193.7 138.0 31.0 5.2 4.0 3.6 2.9 0.233 0.284 0.395 0.679
Randal Grichuk TOR R OF OF 131 533 487 68.6 28.6 80.2 4.5 118.2 57.3 30.4 1.9 238.2 150.2 35.0 5.4 4.0 1.6 2.1 0.243 0.298 0.489 0.788
Yuli Gurriel HOU R 1B/3B 1B/2B/ 3B 134 531 497 60.6 13.7 67.3 3.6 140.6 93.1 32.5 1.3 216.7 65.9 22.3 6.1 3.9 1.8 1.5 0.283 0.319 0.436 0.755
Marwin Gonzalez MIN S 1B/2B/ SS/OF 1B/2B/ SS/OF 131 531 476 62.0 16.2 63.7 5.1 127.3 81.7 27.4 2.0 207.1 111.1 43.6 4.9 3.9 2.5 2.5 0.267 0.333 0.435 0.767
J.T. Realmuto PHI R C C/1B 130 530 482 64.3 20.1 72.0 4.8 129.9 81.4 26.1 2.2 220.8 106.1 34.5 7.5 4.0 1.6 2.0 0.269 0.325 0.458 0.783
Ryan Zimmerman WSH R 1B 1B 128 529 476 65.0 23.8 77.8 2.2 124.6 72.6 26.7 1.6 225.9 112.8 42.7 4.7 3.9 1.5 1.0 0.262 0.326 0.474 0.801
Maikel Franco PHI R 3B 3B 136 528 481 63.2 24.7 77.1 1.4 126.6 76.3 24.3 1.4 227.6 78.4 37.3 3.2 3.9 2.2 0.6 0.263 0.318 0.473 0.791
Lourdes Gurriel Jr. TOR R 2B/SS 2B/SS 130 528 493 64.2 17.6 58.5 6.6 131.0 87.5 24.7 1.3 211.0 110.1 21.4 5.4 3.6 4.3 2.7 0.266 0.301 0.428 0.729
Nick Markakis ATL L OF OF 131 526 463 57.5 10.3 58.7 1.4 127.5 88.5 27.4 1.2 188.5 75.1 53.9 3.8 3.9 1.8 0.6 0.275 0.353 0.407 0.761
Odubel Herrera PHI L OF OF 133 525 474 59.4 15.9 63.5 7.0 127.3 84.4 24.2 2.8 204.8 108.4 39.4 5.0 3.9 2.4 2.9 0.269 0.328 0.432 0.760
Jason Heyward CHC L OF OF 130 524 463 55.0 11.1 58.5 4.3 125.1 86.2 24.4 3.5 189.8 73.5 49.2 4.3 4.0 3.1 1.6 0.270 0.343 0.409 0.753
Ian Desmond COL R 1B/OF 1B/OF 132 523 471 62.7 18.1 67.9 15.4 126.6 82.9 21.1 4.5 211.2 123.3 41.1 5.2 3.7 2.0 5.7 0.269 0.332 0.448 0.781
Matt Olson OAK L 1B 1B 122 522 453 68.5 26.5 76.1 1.8 110.2 59.7 23.3 0.7 214.5 126.7 59.0 5.1 3.9 1.2 0.8 0.244 0.335 0.474 0.808
J.T. Riddle MIA L SS SS 128 522 482 46.3 10.7 50.5 4.4 120.2 85.6 19.9 4.0 180.1 101.3 30.5 2.2 3.9 3.3 1.9 0.249 0.295 0.374 0.669
Jesse Winker CIN L OF OF 126 518 443 66.4 14.3 58.0 2.7 126.4 86.4 25.0 0.7 195.7 78.7 64.3 4.3 3.7 3.1 1.2 0.285 0.379 0.442 0.821
Orlando Arcia MIL R SS SS 137 516 473 50.7 10.4 51.7 11.2 120.0 84.1 23.8 1.7 178.4 100.1 32.0 3.0 4.0 3.8 4.8 0.254 0.303 0.377 0.680
Pete Alonso NYM R 1B 1B 130 516 457 61.7 25.5 72.8 2.3 110.2 62.0 21.8 0.9 210.5 127.5 46.0 8.1 3.8 1.3 1.1 0.241 0.319 0.461 0.780
Vladimir Guerrero Jr. TOR R 3B 3B 120 515 462 70.3 21.0 74.0 4.6 141.2 90.4 28.2 1.6 235.6 66.9 42.8 4.9 3.9 1.4 2.1 0.305 0.368 0.510 0.878
Peter O’Brien MIA R 1B 1B 126 513 463 49.6 21.0 58.7 1.3 90.8 49.5 19.2 1.1 175.2 185.1 40.3 3.5 3.7 2.1 0.6 0.196 0.263 0.378 0.641
Ronald Guzman TEX L 1B 1B 132 511 456 58.3 17.4 63.0 2.2 115.1 75.1 20.3 2.3 192.2 118.8 43.0 5.9 3.9 2.4 0.9 0.252 0.323 0.422 0.745
Gary Sanchez NYY R C C 126 510 452 68.6 28.3 78.2 2.4 110.4 61.2 20.4 0.5 216.8 120.8 46.4 6.4 3.9 1.5 1.0 0.245 0.320 0.480 0.800
JaCoby Jones DET R OF OF 130 506 460 52.3 12.5 50.8 14.1 103.0 65.8 20.4 4.3 169.6 154.5 32.0 7.3 3.7 3.2 5.5 0.224 0.284 0.369 0.653
C.J. Cron MIN R 1B 1B 126 505 457 65.5 24.3 75.1 2.7 119.5 68.6 25.4 1.2 220.2 119.4 32.9 10.2 3.7 1.3 1.3 0.262 0.323 0.482 0.806
Steven Duggar SF L OF OF 125 503 448 53.2 6.5 36.7 13.4 107.1 72.7 24.7 3.2 157.7 142.2 43.8 3.1 3.3 4.6 5.2 0.239 0.309 0.352 0.662
Yadier Molina STL R C C/1B 127 502 461 53.4 14.2 60.0 5.2 122.7 84.0 23.7 0.8 190.7 69.7 29.4 6.2 3.6 2.1 2.3 0.266 0.317 0.414 0.731
Nick Senzel CIN R 2B 2B 120 500 450 60.4 14.7 61.8 11.1 124.2 78.7 28.4 2.5 201.6 105.8 40.6 3.4 3.7 2.2 5.0 0.276 0.338 0.448 0.786
Nick Ahmed ARI R SS SS 128 499 454 48.3 12.2 51.3 6.7 107.3 69.0 23.1 3.1 173.2 98.7 33.9 4.6 3.7 3.3 3.2 0.237 0.294 0.382 0.676
Austin Meadows TB L OF OF 124 496 455 58.0 15.8 61.3 13.8 120.9 76.1 26.4 2.5 199.7 89.6 32.0 3.6 3.5 2.3 5.3 0.266 0.317 0.439 0.756
Mark Trumbo BAL R DH OF 117 492 449 57.7 23.6 69.3 0.8 111.2 67.9 19.1 0.6 202.4 123.7 35.8 2.9 3.6 1.0 0.4 0.248 0.306 0.451 0.757
Tim Beckham SEA R SS/3B SS/3B 128 492 449 49.1 14.1 53.4 4.7 104.9 68.5 20.4 1.8 171.4 134.7 32.0 4.2 3.7 3.0 2.2 0.234 0.289 0.381 0.670
Christin Stewart DET L OF OF 120 491 431 61.6 21.7 66.7 1.1 106.8 63.6 18.4 3.1 196.5 110.5 50.2 4.6 3.6 1.4 0.5 0.248 0.331 0.455 0.786
Gregory Polanco PIT L OF OF 112 490 434 58.9 17.6 63.8 9.3 111.4 66.4 24.5 2.9 194.5 99.5 48.2 3.1 3.7 1.2 3.7 0.257 0.333 0.449 0.781
Kyle Schwarber CHC L OF OF 126 490 410 66.1 26.6 72.1 4.3 100.1 55.1 16.3 2.1 200.3 133.2 70.7 4.0 3.6 1.7 1.9 0.244 0.358 0.489 0.847
Tyler White HOU R 1B 1B 126 489 430 59.0 18.5 63.1 2.7 106.9 65.7 20.9 1.8 187.0 106.5 48.2 5.0 3.6 2.2 1.2 0.249 0.329 0.435 0.764
Dustin Pedroia BOS R 2B 2B 125 488 433 56.2 9.0 51.5 4.5 117.9 86.0 22.0 1.0 168.8 60.8 46.6 2.5 3.5 2.3 2.2 0.272 0.344 0.390 0.734
Manuel Margot SD R OF OF 124 487 444 50.3 10.7 48.7 14.9 115.2 77.7 21.1 5.7 179.9 81.3 32.1 3.0 3.6 3.8 6.6 0.260 0.311 0.404 0.716
Byron Buxton MIN R OF OF 126 486 441 58.7 14.7 54.6 17.5 107.6 67.2 22.4 3.4 180.8 137.5 33.0 4.5 3.6 3.6 4.8 0.244 0.301 0.409 0.710
Chris Davis BAL L 1B 1B 122 486 421 54.9 23.2 60.2 1.8 86.4 47.8 14.7 0.6 172.0 172.9 54.6 5.1 3.6 1.8 0.8 0.205 0.301 0.408 0.710
Mikie Mahtook DET R OF OF 124 484 439 53.1 14.0 54.1 7.2 106.7 68.6 17.5 6.6 179.4 125.6 32.7 6.1 3.6 2.6 2.8 0.243 0.302 0.408 0.711
Joey Wendle TB L 2B/3B 2B/SS/ 3B/OF 124 484 446 50.9 7.3 47.1 9.6 114.1 79.2 23.9 3.7 167.4 97.5 25.7 6.1 3.6 2.5 3.7 0.255 0.303 0.375 0.678
Asdrubal Cabrera TEX S 2B/SS/ 3B 2B/SS/ 3B 122 482 435 59.7 15.0 58.6 1.6 118.4 75.9 26.5 1.0 191.9 85.5 36.5 4.4 3.5 2.4 0.7 0.272 0.332 0.441 0.773
Wilmer Flores ARI R 1B 1B/2B/ 3B 124 482 442 56.3 18.2 65.3 1.3 122.7 76.8 26.6 1.1 206.1 59.8 29.9 4.9 3.6 1.5 0.6 0.278 0.328 0.466 0.794
Hunter Renfroe SD R OF OF 121 481 442 56.6 23.7 69.8 2.6 109.2 61.7 22.5 1.4 205.5 121.4 29.8 4.3 3.7 1.2 1.1 0.247 0.298 0.465 0.763
Ryon Healy SEA R 1B 1B 124 480 447 51.7 19.3 61.6 0.9 112.2 72.2 20.1 0.6 191.4 106.8 24.8 2.9 3.5 1.9 0.4 0.251 0.292 0.428 0.721
Brett Gardner NYY L OF OF 125 480 417 61.3 11.8 48.3 11.5 103.2 69.6 17.9 4.0 164.4 88.8 50.9 5.0 3.3 3.8 3.1 0.248 0.334 0.394 0.728
Leonys Martin CLE L OF OF 124 477 432 56.8 12.1 48.7 14.0 107.4 72.8 20.4 2.1 168.3 120.4 34.2 4.1 3.3 3.8 5.0 0.248 0.308 0.390 0.698
Albert Almora Jr. CHC R OF OF 121 476 440 48.0 9.2 50.6 3.3 119.4 83.6 25.1 1.6 175.2 80.6 25.9 2.9 3.6 3.5 1.5 0.271 0.314 0.398 0.711
Willson Contreras CHC R C C 121 470 412 52.8 14.3 57.6 4.1 105.6 67.0 21.6 2.6 175.4 102.8 46.2 7.3 3.4 1.7 2.0 0.257 0.340 0.427 0.766
Enrique Hernandez LAD R 2B/SS/ OF 1B/2B/ SS/3B/OF 120 467 410 54.8 17.4 59.3 2.9 100.6 59.6 21.3 2.3 178.7 94.2 48.6 2.3 3.5 2.3 1.2 0.246 0.326 0.436 0.762
Garrett Hampson COL R SS 2B/SS 120 467 420 58.1 7.2 45.4 22.0 122.3 88.5 22.1 4.5 175.0 75.0 36.9 2.9 3.3 3.6 7.6 0.291 0.350 0.417 0.766
Niko Goodrum DET S 1B/2B 1B/2B/ SS/3B/OF 120 466 421 49.3 12.9 50.8 10.2 99.7 63.1 21.1 2.6 164.8 122.1 35.9 4.0 3.4 2.2 4.0 0.237 0.301 0.392 0.692
Jeff McNeil NYM L 2B 2B 120 466 424 53.1 10.5 48.6 6.6 117.2 80.3 21.7 4.7 179.9 61.0 29.9 5.9 3.3 2.8 2.6 0.277 0.331 0.425 0.755
Freddy Galvis TOR S SS 2B/SS 118 466 427 48.8 9.9 46.6 7.8 104.3 69.6 22.0 2.8 161.5 96.1 29.4 2.7 3.5 3.3 3.0 0.244 0.295 0.379 0.673
Miguel Sano MIN R 3B 1B/3B 110 465 405 59.5 22.7 65.8 0.8 95.5 53.1 18.8 1.0 184.3 160.0 53.2 2.8 3.5 0.9 0.4 0.236 0.327 0.456 0.782
Tyler Naquin CLE L OF OF 120 460 415 51.3 11.2 51.9 5.4 108.1 73.4 21.5 2.0 167.2 118.3 34.5 4.3 3.6 3.1 2.3 0.261 0.321 0.403 0.724
Buster Posey SF R C C/1B 110 457 402 51.2 10.4 51.4 3.4 115.4 81.0 22.9 1.1 171.6 56.4 45.9 4.7 3.3 1.0 1.5 0.287 0.364 0.427 0.791
Jung Ho Kang PIT R 3B 3B 118 453 401 54.1 18.4 62.1 4.4 106.7 65.3 21.5 1.5 186.3 97.1 38.5 8.9 3.4 1.6 2.1 0.266 0.342 0.465 0.807
Jordy Mercer DET R SS SS 122 452 403 48.3 9.7 46.5 2.1 101.7 67.7 21.9 2.5 157.6 78.3 38.1 4.3 3.5 3.4 1.0 0.253 0.321 0.392 0.713
Yasmani Grandal MIL S C C 118 451 383 55.6 21.0 61.3 2.0 91.0 50.9 17.7 1.3 174.5 112.4 60.9 2.6 3.3 1.5 0.9 0.238 0.344 0.456 0.799
Kolten Wong STL L 2B 2B 120 449 393 47.5 10.3 49.4 7.7 103.1 69.0 21.2 2.6 160.5 67.5 39.3 10.8 3.4 2.9 3.0 0.262 0.344 0.409 0.752
Brandon Lowe TB L 2B 2B/OF 120 449 397 53.1 16.0 54.8 5.5 100.8 61.1 21.7 2.0 174.4 103.3 41.9 4.2 3.3 2.4 2.4 0.253 0.329 0.439 0.768
Ian Kinsler SD R 2B 2B 105 442 396 50.5 11.4 40.6 11.2 97.1 65.3 19.4 1.1 152.8 65.0 33.8 5.7 2.9 3.6 4.3 0.245 0.312 0.386 0.697
Greg Allen CLE S OF OF 120 437 393 44.2 5.1 40.3 20.4 97.7 71.6 19.0 2.0 135.9 94.4 28.8 9.6 3.3 2.6 7.8 0.248 0.313 0.346 0.660
Jorge Alfaro MIA R C C 117 435 400 37.6 10.9 44.0 2.4 94.7 63.1 18.7 2.1 150.1 138.9 20.9 8.4 3.3 2.5 1.0 0.237 0.287 0.376 0.662
Francisco Cervelli PIT R C C 113 435 370 45.6 8.2 44.1 3.4 94.9 67.0 17.3 2.4 141.7 93.4 51.2 8.6 3.2 1.7 1.6 0.257 0.357 0.382 0.739
Daniel Palka CHW L OF OF 113 433 392 51.3 22.2 60.8 3.1 91.4 52.2 14.7 2.2 177.1 135.9 34.1 2.7 3.2 1.1 1.4 0.233 0.296 0.452 0.749
Jordan Luplow CLE R OF OF 120 433 384 52.1 13.4 50.7 6.7 93.8 58.2 19.5 2.7 158.9 87.8 39.0 4.3 3.2 2.5 2.9 0.244 0.319 0.414 0.732
Mitch Moreland BOS L 1B 1B 112 431 382 54.3 15.6 58.6 1.4 96.4 55.7 22.9 2.1 170.4 97.8 39.9 4.0 3.5 1.3 0.6 0.252 0.326 0.446 0.772
Yandy Diaz TB R 3B 1B/3B 113 430 371 44.8 5.5 40.2 2.9 100.1 76.1 16.6 1.9 137.0 86.1 51.8 2.6 3.1 1.9 1.3 0.270 0.361 0.370 0.731
DJ LeMahieu NYY R 2B 2B 115 428 384 49.4 8.4 44.1 5.8 103.2 75.8 17.7 1.3 148.7 63.9 35.3 2.9 3.1 2.9 2.6 0.269 0.333 0.387 0.720
Ben Zobrist CHC S 2B/OF 2B/OF 107 427 372 49.3 8.5 45.1 3.5 99.9 67.9 21.2 2.3 151.2 57.7 46.5 2.9 3.0 2.1 1.7 0.268 0.351 0.406 0.757
Omar Narvaez SEA L C C 117 425 372 41.7 7.4 39.9 1.9 91.8 67.6 15.8 0.8 131.6 77.9 43.8 3.1 3.3 2.8 0.8 0.247 0.329 0.354 0.683
Josh Reddick HOU L OF OF 109 418 373 50.9 13.5 52.5 5.1 98.6 65.1 17.9 2.1 161.1 64.3 38.5 1.3 3.1 2.1 2.1 0.264 0.333 0.432 0.765
Shohei Ohtani LAA L DH DH 105 417 365 60.6 23.2 68.5 8.6 101.2 56.6 19.7 1.7 194.0 109.4 44.6 3.4 3.1 1.0 3.7 0.278 0.359 0.531 0.890
Tucker Barnhart CIN S C C/1B 116 416 367 40.4 8.0 42.3 2.3 90.6 62.0 18.7 1.9 137.1 74.3 39.9 2.8 3.3 2.7 1.1 0.246 0.323 0.373 0.695
Ji-Man Choi TB L DH DH 106 411 356 47.8 14.2 50.9 2.6 85.8 52.3 18.3 1.0 148.9 105.2 48.0 3.4 3.0 1.0 1.3 0.241 0.335 0.419 0.754
Justin Bour LAA L 1B 1B 106 411 356 53.0 18.8 57.3 1.4 88.6 53.9 15.0 0.9 161.7 97.8 48.9 2.1 3.1 1.3 0.6 0.249 0.340 0.455 0.795
Wilson Ramos NYM R C C 106 407 374 45.0 16.0 54.3 0.6 97.6 63.9 16.9 0.7 164.1 73.5 26.9 2.1 3.0 1.0 0.3 0.261 0.312 0.439 0.750
Albert Pujols LAA R 1B 1B 103 405 373 46.4 16.2 55.0 1.2 93.1 61.4 15.1 0.4 157.5 60.3 25.4 2.4 3.0 1.0 0.5 0.249 0.299 0.422 0.721
Brett Phillips KC L OF OF 109 401 357 38.5 8.8 37.7 6.7 76.2 48.7 14.1 4.6 125.8 137.9 35.6 2.5 3.1 2.6 2.8 0.214 0.287 0.353 0.639
Mike Zunino TB R C C 108 397 355 44.0 18.3 50.6 0.9 74.3 40.3 15.3 0.4 145.4 134.0 30.8 6.5 3.0 2.1 0.4 0.210 0.282 0.410 0.692
Matt Duffy TB R 3B 3B 102 397 358 41.2 6.2 39.6 7.4 96.9 72.0 17.6 1.2 135.2 67.9 30.0 4.8 2.8 1.5 3.0 0.271 0.333 0.378 0.711
Danny Jansen TOR R C C 109 395 348 45.9 11.8 45.3 3.0 89.0 56.2 19.8 1.1 146.6 61.0 34.7 7.3 3.0 2.2 1.2 0.256 0.334 0.422 0.755
Matt Kemp CIN R OF OF 116 393 360 47.4 17.5 58.0 0.7 96.1 57.6 20.4 0.5 170.1 94.3 27.4 1.5 3.0 1.3 0.3 0.267 0.319 0.473 0.792
Curtis Granderson MIA L OF OF 95 389 331 40.1 11.5 38.2 2.9 74.0 45.3 15.1 2.1 127.9 95.6 48.7 4.1 2.8 2.4 1.2 0.224 0.328 0.386 0.714
Austin Slater SF R 1B/OF 1B/OF 104 389 349 37.5 7.2 38.3 6.9 89.5 63.5 17.2 1.6 131.5 97.0 30.6 4.6 3.0 2.2 2.9 0.257 0.323 0.377 0.700
Scooter Gennett CIN L 2B 2B 91 388 356 44.5 12.2 48.5 2.5 93.0 61.0 18.1 1.7 151.0 82.7 25.3 2.8 2.9 1.2 1.2 0.261 0.313 0.425 0.738
Luke Voit NYY R 1B 1B 106 388 344 49.1 16.4 52.8 1.2 90.3 56.8 16.1 1.0 157.6 88.1 34.2 5.0 2.9 1.6 0.5 0.263 0.335 0.457 0.792
Teoscar Hernandez TOR R OF OF 99 387 349 45.4 15.1 47.7 6.9 82.5 46.4 18.3 2.8 151.6 111.4 30.3 3.3 2.8 1.7 3.2 0.237 0.301 0.435 0.736
Austin Dean MIA R OF OF 106 387 353 37.2 9.5 41.5 2.3 94.2 64.5 17.4 2.9 145.7 66.6 25.0 3.6 2.9 2.1 1.1 0.266 0.319 0.412 0.731
Grayson Greiner DET R C C 106 382 342 37.5 8.3 37.9 1.7 80.5 54.2 16.4 1.6 125.0 92.4 32.7 2.7 2.8 2.2 0.7 0.236 0.305 0.366 0.671
Welington Castillo CHW R C C 103 381 348 40.6 14.2 45.6 1.4 83.9 54.5 14.7 0.5 142.4 101.9 25.6 3.0 2.9 1.7 0.6 0.241 0.297 0.409 0.706
Dexter Fowler STL S OF OF 99 380 324 43.6 9.3 39.1 5.8 77.5 50.0 15.7 2.4 126.1 85.3 46.7 4.7 2.8 2.0 2.3 0.240 0.341 0.389 0.731
Mac Williamson SF R OF OF 102 377 339 36.5 12.6 42.2 3.1 76.7 48.3 14.8 1.0 131.4 104.9 28.5 4.2 2.8 2.1 1.3 0.226 0.292 0.387 0.679
Erik Gonzalez PIT R 2B/3B 1B/2B/ SS/3B 106 374 350 36.8 7.1 38.0 7.4 90.0 62.9 17.8 2.1 133.3 94.2 15.4 3.2 2.8 2.4 3.1 0.257 0.292 0.381 0.673
Franmil Reyes SD R OF OF 99 372 333 44.3 17.6 51.5 1.1 83.8 51.0 14.3 0.9 152.6 95.5 32.6 2.3 2.7 1.0 0.5 0.251 0.319 0.457 0.777
Jose Martinez STL R OF OF 97 372 334 44.0 10.6 46.1 2.4 96.0 66.8 18.1 0.6 146.9 69.3 31.6 1.9 2.9 1.6 0.9 0.288 0.350 0.440 0.790
Jay Bruce SEA L 1B/OF 1B/OF 100 371 331 42.7 15.2 48.1 2.4 77.6 44.3 16.8 1.2 142.5 82.9 34.3 1.9 2.8 0.9 1.1 0.235 0.307 0.430 0.738
Tyler Flowers ATL R C C 102 370 322 38.4 10.6 41.7 1.1 79.8 53.3 15.4 0.5 128.1 93.8 33.0 10.8 2.7 1.8 0.5 0.248 0.336 0.399 0.735
Addison Russell CHC R SS SS 97 369 327 37.8 9.8 42.0 2.5 81.1 51.7 18.2 1.4 131.6 75.9 32.8 4.0 2.8 2.4 1.1 0.248 0.322 0.402 0.724
Austin Hays BAL R OF OF 95 369 345 41.2 13.3 44.3 5.2 88.8 57.4 16.2 1.8 148.6 75.1 15.2 3.1 2.7 2.6 2.3 0.257 0.292 0.430 0.722
Neil Walker MIA S 1B/2B/ 3B 1B/2B/ 3B/OF 96 367 322 36.5 10.8 39.9 1.2 80.4 53.5 14.5 1.5 130.4 71.6 36.4 3.1 2.9 2.3 0.5 0.249 0.329 0.404 0.733
Jonathan Lucroy LAA R C C 99 367 330 39.4 7.4 39.0 1.2 83.7 57.9 17.2 1.2 125.4 57.0 28.2 3.9 2.8 2.2 0.5 0.254 0.318 0.380 0.698
Delino DeShields TEX R OF OF 95 365 317 42.6 4.6 28.9 18.7 75.9 54.9 15.1 1.3 107.3 84.3 39.1 3.1 2.5 3.0 6.0 0.239 0.326 0.338 0.664
Robinson Chirinos HOU R C C 99 363 314 40.6 13.6 41.8 1.7 62.7 35.3 12.7 1.1 118.4 117.9 33.7 10.4 2.8 2.3 0.7 0.200 0.296 0.377 0.673
Billy McKinney TOR L OF OF 95 361 323 45.2 13.4 42.8 2.3 78.7 45.6 16.3 3.4 142.0 83.5 30.2 3.0 2.6 2.3 1.0 0.244 0.311 0.440 0.751
Avisail Garcia TB R OF OF 94 360 328 40.6 12.4 45.2 3.0 84.0 55.7 13.7 2.1 139.1 87.2 23.6 4.3 2.7 1.2 1.4 0.256 0.312 0.424 0.736
Nick Martini OAK L OF OF 98 357 311 40.1 4.2 28.6 2.8 76.3 55.1 14.3 2.7 108.7 78.4 37.3 3.7 2.5 2.8 1.1 0.245 0.331 0.350 0.681
Richie Martin BAL R SS SS 98 357 324 33.8 4.4 30.6 10.4 76.9 55.6 14.3 2.7 109.6 64.8 23.7 4.3 2.7 2.2 4.5 0.237 0.295 0.338 0.633
Chris Owings KC R OF 2B/3B/ OF 96 356 328 36.0 6.0 34.5 10.8 82.7 55.1 19.9 1.7 124.1 75.5 20.7 2.8 2.7 2.0 3.6 0.253 0.300 0.378 0.678
Evan Gattis FA R DH DH 96 347 315 40.9 17.6 50.6 1.1 77.6 44.2 15.3 0.4 146.4 74.5 25.1 3.4 2.5 1.3 0.5 0.246 0.307 0.465 0.772
Yan Gomes WSH R C C 98 346 316 35.1 11.9 42.0 0.8 75.9 47.8 15.8 0.4 128.3 92.1 19.6 5.6 2.6 2.3 0.3 0.240 0.294 0.406 0.700
Austin Barnes LAD R C C/2B 98 344 296 35.1 6.9 33.4 5.9 68.5 46.5 14.0 1.1 105.4 78.6 38.4 5.1 2.6 2.2 2.1 0.232 0.328 0.356 0.684
John Hicks DET R C/1B C/1B 94 344 318 34.4 8.8 37.6 2.5 78.6 53.3 15.3 1.2 122.8 90.2 19.4 2.4 2.5 1.3 1.1 0.247 0.293 0.385 0.679
Christian Vazquez BOS R C C 95 342 313 36.5 5.3 35.4 4.8 80.1 56.8 17.1 1.0 115.1 61.6 19.8 3.8 2.7 2.5 1.9 0.256 0.305 0.367 0.673
Garrett Cooper MIA R OF OF 93 341 309 31.6 7.4 34.4 1.7 78.6 52.3 17.6 1.2 121.0 73.8 24.3 3.2 2.5 2.0 0.7 0.254 0.313 0.392 0.705
Chris Iannetta COL R C C 97 341 290 39.8 12.0 41.4 1.0 71.7 43.2 15.5 1.0 125.3 84.9 41.1 5.0 2.6 2.4 0.4 0.248 0.348 0.432 0.780
Brian Goodwin KC L OF OF 92 338 303 36.3 9.4 34.6 6.3 70.9 44.5 16.0 1.0 117.2 91.9 27.0 2.8 2.5 2.4 2.4 0.234 0.300 0.386 0.686
Josh Phegley OAK R C C 95 334 302 35.7 8.6 35.1 2.3 68.2 41.3 16.5 1.7 114.0 76.4 22.2 4.7 2.6 2.5 0.8 0.226 0.287 0.378 0.665
Logan Morrison FA L 1B 1B 91 329 285 39.3 15.2 44.4 1.4 65.2 36.8 12.6 0.6 124.7 77.0 36.6 3.8 2.4 1.1 0.6 0.229 0.322 0.437 0.759
Joc Pederson LAD L OF OF 94 327 280 43.7 17.3 47.7 3.9 70.1 36.5 15.2 1.1 139.3 69.4 39.3 4.1 2.3 1.6 1.9 0.251 0.349 0.498 0.846
Alex Avila ARI L C C 96 326 270 33.2 8.7 30.8 1.2 56.3 35.7 11.1 0.9 95.1 113.4 49.4 2.4 2.5 2.1 0.6 0.209 0.333 0.353 0.686
Austin Hedges SD R C C 92 321 295 31.2 12.2 38.0 2.4 66.2 40.2 12.7 1.1 117.9 84.7 19.1 2.6 2.3 1.7 1.0 0.224 0.275 0.399 0.675
Chance Sisco BAL L C C 96 320 283 30.7 6.7 29.9 1.7 66.7 46.8 12.9 0.4 100.5 87.3 26.8 6.1 2.4 1.9 0.7 0.236 0.313 0.355 0.669
Johan Camargo ATL S 3B SS/3B 93 320 289 33.9 8.8 37.9 1.1 75.5 49.3 16.4 1.0 120.1 63.6 24.6 2.7 2.4 1.4 0.5 0.261 0.322 0.416 0.738
Scott Schebler CIN L OF OF 81 319 284 37.0 13.3 42.4 2.9 68.4 40.3 13.9 0.9 124.1 73.7 25.0 6.1 2.3 1.3 1.3 0.241 0.313 0.436 0.749
Martin Maldonado KC R C C 95 319 288 31.5 7.7 31.8 1.6 66.7 43.9 14.2 0.9 105.8 74.5 18.1 7.6 2.5 2.4 0.7 0.231 0.292 0.367 0.658
Adam Engel CHW R OF OF 96 318 288 31.1 6.0 28.6 10.7 63.0 42.4 12.5 2.2 97.7 92.1 20.1 4.8 2.4 2.4 4.0 0.218 0.279 0.339 0.618
Hanley Ramirez CLE R 1B 1B 91 318 285 38.7 13.0 43.2 3.0 70.2 43.2 13.5 0.4 123.7 69.4 26.5 3.4 2.4 0.8 1.4 0.246 0.316 0.435 0.750
Ian Happ CHC S 3B/OF 3B/OF 86 312 267 37.0 12.4 38.7 5.7 61.9 36.3 12.0 1.2 113.6 96.2 38.6 2.6 2.3 1.6 2.4 0.232 0.332 0.426 0.758
Kurt Suzuki WSH R C C 93 312 283 34.2 9.6 39.2 0.7 74.6 49.2 15.4 0.4 119.6 42.1 18.0 7.5 2.4 1.4 0.3 0.264 0.322 0.423 0.745
Brian McCann ATL L C C 90 310 272 32.9 11.6 37.4 1.2 62.2 40.6 9.4 0.6 107.6 58.5 28.6 5.0 2.3 1.6 0.5 0.229 0.311 0.395 0.706
Jason Castro MIN L C C 91 310 269 33.6 7.8 31.3 1.8 59.0 36.8 13.5 0.8 97.5 89.7 32.9 2.9 2.4 2.4 0.7 0.219 0.308 0.362 0.671
Jeff Mathis TEX R C C 92 309 279 29.0 4.8 28.0 1.3 62.1 42.9 13.0 1.4 92.4 87.1 23.2 2.4 2.5 2.4 0.6 0.223 0.286 0.331 0.618
Gerardo Parra SF L OF OF 90 305 281 27.4 4.5 29.6 5.0 72.6 51.7 15.5 0.8 103.4 57.8 17.2 2.7 2.2 1.4 2.3 0.258 0.304 0.367 0.671
Nick Williams PHI L OF OF 91 302 275 34.6 11.6 39.9 2.7 69.3 43.1 12.4 2.2 120.8 78.8 19.5 4.1 2.3 1.2 1.3 0.252 0.308 0.440 0.748
Kevin Plawecki CLE R C C 92 299 265 32.5 7.7 33.0 1.2 64.2 42.2 13.3 1.1 102.6 59.5 25.0 4.5 2.3 1.8 0.5 0.242 0.315 0.387 0.702
Steve Wilkerson BAL S 2B 2B/3B 81 295 268 27.2 4.5 25.4 4.2 62.9 46.0 11.8 0.6 89.4 72.2 19.0 3.3 2.3 2.1 1.8 0.235 0.291 0.333 0.624
Francisco Mejia SD S C C 81 294 271 28.9 8.4 32.0 1.4 66.9 44.5 13.0 1.0 107.2 58.9 16.1 3.1 2.1 1.5 0.6 0.247 0.295 0.395 0.690
Kevin Newman PIT R SS 2B/SS 92 294 271 25.8 2.6 26.8 9.5 72.6 54.4 14.4 1.2 97.2 39.4 15.9 2.3 2.3 2.1 4.0 0.267 0.311 0.358 0.670
Todd Frazier NYM R 3B 3B 78 294 255 32.3 12.6 36.7 4.0 55.6 32.1 10.5 0.3 104.7 70.7 31.0 4.3 2.1 1.1 1.8 0.218 0.310 0.410 0.720
Willie Calhoun TEX L OF OF 81 293 267 34.2 9.8 37.1 1.4 71.8 47.1 14.2 0.8 116.8 40.1 19.6 2.4 2.3 1.3 0.6 0.269 0.322 0.437 0.758
Steve Pearce BOS R 1B 1B/OF 86 293 258 38.5 12.2 41.8 0.8 68.7 41.5 14.0 1.0 121.3 55.7 27.6 4.2 2.2 1.1 0.4 0.267 0.344 0.470 0.814
Carson Kelly ARI R C C 91 292 259 28.2 6.2 29.2 1.0 62.6 42.8 12.6 1.0 95.7 50.2 25.9 3.3 2.3 1.9 0.4 0.242 0.317 0.370 0.686
Alex Verdugo LAD L OF OF 84 292 265 32.2 7.3 33.0 3.5 71.7 49.7 14.1 0.6 108.9 43.3 21.7 1.8 2.2 1.8 1.5 0.271 0.328 0.411 0.739
Denard Span FA L OF OF 85 292 260 35.4 7.0 29.4 5.6 67.8 44.9 13.0 2.9 107.5 44.5 25.5 2.5 2.0 2.1 2.0 0.261 0.330 0.414 0.744
Isiah Kiner-Falefa TEX R C/2B/ 3B C/2B/ 3B 89 289 260 29.5 3.5 27.4 5.8 68.6 51.4 12.4 1.2 94.1 42.8 21.3 3.9 2.2 1.5 2.8 0.264 0.326 0.362 0.687
Bradley Zimmer CLE L OF OF 86 287 255 32.7 7.4 30.1 11.0 58.9 37.9 12.6 1.1 95.7 93.2 24.2 3.1 2.2 2.1 3.7 0.231 0.303 0.374 0.677
Adam Duvall ATL R OF 1B/OF 86 283 256 30.5 11.2 36.6 2.2 57.9 32.5 13.4 0.7 106.5 74.3 20.2 3.5 2.0 0.9 1.1 0.226 0.289 0.416 0.705
Roberto Perez CLE R C C 90 283 245 30.4 7.1 28.9 1.9 52.4 32.6 11.9 0.8 87.2 82.9 32.1 1.7 2.2 2.1 0.8 0.214 0.306 0.356 0.663
Carlos Gonzalez CLE L OF OF 85 283 256 34.0 10.5 38.0 2.1 65.4 39.1 15.1 0.8 113.6 67.6 22.8 1.5 2.1 0.8 0.9 0.256 0.318 0.444 0.762
Russell Martin LAD R C/3B C/3B 88 282 240 30.5 9.2 30.8 1.6 52.4 33.5 9.3 0.3 89.9 70.8 34.4 4.6 2.0 1.3 0.8 0.219 0.325 0.375 0.700
Robbie Grossman OAK S OF OF 85 281 239 31.9 5.1 27.3 1.4 60.0 40.8 13.4 0.7 90.1 55.9 36.9 2.1 2.1 1.5 0.6 0.252 0.354 0.377 0.731
Lonnie Chisenhall PIT L OF OF 76 281 254 28.9 7.3 32.0 2.6 65.8 43.0 14.1 1.4 104.6 52.8 21.1 2.9 2.1 1.4 1.0 0.259 0.321 0.412 0.733
Yangervis Solarte SF S 2B/3B 2B/SS/ 3B 83 280 255 29.1 7.6 32.1 1.5 65.5 43.7 13.7 0.5 102.9 39.4 19.3 2.5 2.0 0.7 0.7 0.256 0.313 0.403 0.716
Raimel Tapia COL L OF OF 87 278 258 31.6 4.7 30.6 8.4 73.3 51.0 14.3 3.3 108.4 52.6 14.6 1.7 2.1 1.9 3.4 0.284 0.325 0.421 0.745
Tony Wolters COL L C C 88 275 239 26.7 4.0 25.6 2.4 57.3 40.0 10.6 2.8 85.4 54.1 28.5 3.2 2.2 2.1 1.0 0.240 0.326 0.357 0.683
Chad Pinder OAK R 2B/OF 2B/3B/ OF 84 275 250 29.9 8.8 31.7 1.9 60.8 38.7 12.2 1.0 101.6 74.2 17.2 3.9 2.0 1.6 0.8 0.243 0.299 0.406 0.705
Willians Astudillo MIN R C C/3B 87 275 259 31.7 7.7 34.3 3.9 75.5 52.9 13.7 1.1 114.6 18.5 8.5 3.7 2.0 1.5 1.7 0.291 0.320 0.442 0.762
Franchy Cordero SD L OF OF 83 275 252 31.2 9.4 32.1 7.0 62.9 39.6 10.9 2.9 107.9 85.3 18.3 2.0 1.9 1.2 3.2 0.250 0.304 0.429 0.733
Ryan McMahon COL L 1B 1B/2B/ 3B 87 272 246 30.9 8.0 34.2 3.0 66.3 42.2 14.3 1.8 108.3 67.7 20.7 2.0 2.1 1.3 1.4 0.270 0.328 0.440 0.769
Colin Moran PIT L 3B 3B 85 272 244 29.2 7.4 30.8 1.3 64.8 45.2 11.4 0.8 99.8 54.5 22.1 2.2 2.0 1.1 0.6 0.265 0.329 0.408 0.738
Scott Kingery PHI R SS SS/3B/ OF 87 272 251 28.3 6.6 28.0 6.6 60.8 40.6 12.3 1.3 95.3 62.2 15.1 2.5 2.0 1.9 2.4 0.243 0.290 0.380 0.670
Carlos Gomez NYM R OF OF 83 271 241 26.8 7.5 27.9 6.1 53.2 33.4 11.4 0.8 88.9 77.6 18.5 7.7 2.0 1.4 2.4 0.221 0.294 0.368 0.663
Martin Prado MIA R 3B 3B 80 269 246 26.4 4.2 23.7 1.6 64.5 46.6 13.1 0.7 91.6 41.2 17.6 2.0 1.9 1.4 0.7 0.262 0.315 0.373 0.687
Austin Wynns BAL R C C 84 268 243 26.4 6.0 25.8 1.4 57.7 41.2 10.0 0.6 86.7 57.6 18.2 2.5 2.1 2.0 0.5 0.237 0.294 0.357 0.651
Brandon Drury TOR R 3B 2B/3B 71 267 241 27.5 6.3 28.0 1.6 58.7 36.9 14.7 0.7 93.8 62.7 20.1 2.8 2.0 1.5 0.7 0.244 0.307 0.390 0.697
James McCann CHW R C C 86 267 243 24.8 6.6 26.4 1.3 55.6 38.4 10.1 0.5 86.4 72.6 17.3 3.0 2.0 1.4 0.6 0.228 0.285 0.355 0.640
Mitch Garver MIN R C C/1B 87 266 236 29.3 6.7 29.1 0.9 58.5 37.4 13.0 1.3 94.2 63.0 24.7 1.6 2.0 1.7 0.4 0.247 0.321 0.399 0.721
Kyle Seager SEA L 3B 3B 63 263 236 30.1 10.2 33.9 1.2 56.9 33.6 12.7 0.5 101.2 52.2 21.7 2.9 2.0 0.7 0.6 0.241 0.311 0.430 0.740
Greg Bird NYY L 1B 1B 81 257 224 31.7 11.4 33.4 0.8 50.8 27.9 10.9 0.6 97.2 63.4 26.7 2.8 1.9 1.3 0.4 0.227 0.314 0.434 0.748
Jedd Gyorko STL R 3B 1B/2B/ SS/3B 81 255 226 28.4 9.4 32.4 1.5 56.4 36.1 10.1 0.7 96.1 52.7 24.4 1.5 1.9 1.0 0.7 0.249 0.324 0.425 0.749
J.P. Crawford SEA L SS SS/3B 75 252 218 26.3 5.6 24.8 3.1 50.0 33.4 9.1 1.8 79.6 54.1 28.0 2.4 1.9 1.8 1.3 0.229 0.321 0.365 0.686
Kevin Kramer PIT L 2B 2B 81 252 230 25.2 5.3 26.2 4.6 58.2 39.9 12.0 1.0 88.1 63.1 15.3 2.9 1.9 1.6 1.9 0.252 0.305 0.382 0.688
Joey Rickard BAL R OF OF 80 248 222 25.8 4.6 22.8 4.1 54.8 38.0 11.4 0.8 81.7 53.0 19.6 2.5 1.8 1.7 1.5 0.247 0.312 0.367 0.680
Nathaniel Lowe TB L 1B 1B 67 248 221 30.1 9.3 31.4 1.2 58.8 37.9 10.9 0.7 98.9 50.5 22.1 1.8 1.9 1.6 0.5 0.267 0.336 0.448 0.784
Matt Davidson TEX R 1B 1B/3B 79 248 221 27.6 10.0 30.9 0.4 49.2 28.8 10.0 0.4 89.8 79.2 21.2 2.8 1.8 0.8 0.2 0.222 0.296 0.406 0.701
Mark Canha OAK R OF 1B/OF 80 247 221 28.4 8.2 28.8 1.7 53.2 31.9 12.5 0.6 91.6 59.6 18.6 4.5 1.8 1.4 0.7 0.241 0.310 0.415 0.725
Cory Spangenberg MIL L 2B/3B 2B/3B/ OF 81 247 223 26.1 6.0 26.8 4.3 55.6 37.3 10.1 2.1 88.0 68.4 18.5 2.1 1.9 1.3 1.6 0.249 0.310 0.394 0.704
Jon Jay CHW L OF OF 80 247 222 25.6 2.2 18.2 2.4 55.8 42.6 9.2 1.9 75.4 46.7 16.0 5.5 1.7 2.1 0.9 0.252 0.316 0.340 0.656
Hernan Perez MIL R 2B/SS/ 3B/OF 2B/SS /3B/OF 81 247 231 25.8 6.2 27.9 7.2 58.4 39.7 11.0 1.4 91.1 49.4 12.0 1.0 1.8 1.2 2.5 0.253 0.290 0.394 0.684
Chris Shaw SF L OF OF 81 246 226 22.9 7.6 27.0 0.8 50.9 31.3 11.1 0.9 86.8 80.7 14.6 2.3 1.8 1.4 0.3 0.225 0.277 0.384 0.661
Tyler O’Neill STL R OF OF 80 245 221 30.4 13.3 37.1 2.7 54.1 30.7 9.2 0.9 104.9 73.2 19.1 2.1 1.8 0.8 1.1 0.244 0.308 0.474 0.782
Keon Broxton NYM R OF OF 80 245 215 23.4 6.3 22.4 11.0 42.0 26.3 8.2 1.3 71.6 92.9 23.9 2.2 1.8 1.6 3.9 0.195 0.280 0.332 0.612
Alen Hanson SF S 2B/OF 2B/SS/ 3B/OF 79 243 225 23.5 4.8 24.2 8.3 56.3 38.1 10.8 2.5 86.4 49.6 12.4 1.6 1.8 1.7 3.4 0.250 0.292 0.383 0.675
Travis D’Arnaud NYM R C C 78 237 214 23.6 8.1 27.9 1.1 51.5 32.2 10.6 0.7 87.8 44.0 17.5 2.0 1.8 1.5 0.5 0.241 0.301 0.409 0.711
Devon Travis TOR R 2B 2B 75 235 218 27.5 6.6 27.0 2.9 57.6 36.8 12.9 1.2 92.8 41.1 12.1 1.8 1.8 1.8 1.2 0.265 0.306 0.427 0.733
Eric Thames MIL L 1B/OF 1B/OF 75 235 203 29.1 11.2 31.6 3.2 47.8 26.1 9.1 1.4 93.3 71.3 26.3 2.7 1.7 0.9 1.2 0.235 0.328 0.458 0.786
Nick Delmonico CHW L OF 1B/OF 76 235 208 26.4 7.5 26.7 1.7 49.4 30.6 9.4 1.9 85.1 53.9 22.4 2.3 1.7 1.1 0.8 0.238 0.317 0.410 0.727
Austin Romine NYY R C C 80 233 214 24.6 6.2 25.4 1.3 49.4 32.9 9.9 0.5 78.9 55.7 13.8 1.9 1.9 1.9 0.5 0.231 0.282 0.369 0.651
Brock Holt BOS L 2B/SS 1B/2B/ SS/3B/OF 77 233 204 25.6 3.2 23.6 4.5 53.1 36.9 12.0 1.0 76.7 46.5 22.8 3.0 1.7 1.4 1.9 0.260 0.340 0.376 0.716
Daniel Robertson TB R 2B/SS 2B/SS/ 3B 75 232 200 25.1 5.1 23.3 1.7 48.6 33.1 9.7 0.7 75.1 52.3 25.3 4.2 1.7 1.2 0.8 0.244 0.339 0.377 0.715
Matt Wieters STL S C C 76 232 206 23.0 6.6 25.5 0.9 49.6 33.0 9.7 0.4 79.8 44.1 19.8 2.2 1.8 1.8 0.4 0.241 0.311 0.387 0.698
Jarrod Dyson ARI L OF OF 75 231 205 23.4 2.6 19.9 12.6 51.8 38.0 8.9 2.3 73.0 36.3 19.3 3.0 1.7 1.7 3.7 0.252 0.324 0.356 0.680
Chris Herrmann OAK L C C 79 230 200 24.6 5.8 23.1 1.7 43.4 27.4 8.2 2.0 73.0 62.2 25.3 1.4 1.8 1.5 0.6 0.217 0.307 0.365 0.672
Max Stassi HOU R C C 78 229 202 25.4 7.0 24.9 1.3 43.4 27.1 8.9 0.4 74.2 66.6 20.0 3.5 1.8 1.8 0.5 0.215 0.295 0.367 0.662
Guillermo Heredia TB R OF OF 76 229 202 23.5 3.4 21.0 3.0 50.9 37.6 9.2 0.7 71.8 36.9 19.0 4.4 1.7 1.6 1.4 0.252 0.326 0.355 0.681
Leury Garcia CHW S OF 2B/SS/ OF 75 229 212 23.2 4.1 21.5 6.4 53.7 39.1 8.7 1.8 78.4 52.7 10.9 3.0 1.7 1.5 2.5 0.253 0.297 0.370 0.667
Juan Lagares NYM R OF OF 75 228 210 20.3 3.4 21.7 5.1 53.1 37.7 10.4 1.6 76.9 46.6 11.9 2.6 1.8 1.7 2.0 0.253 0.298 0.366 0.664
Kyle Tucker HOU L OF OF 72 223 201 27.6 8.5 29.2 5.9 51.0 31.1 10.1 1.3 89.2 48.2 17.6 2.1 1.6 1.2 2.5 0.254 0.318 0.445 0.763
Matt Adams WSH L 1B 1B/OF 71 219 198 25.5 9.8 30.6 0.6 50.2 29.6 10.5 0.4 90.9 51.9 16.8 1.8 1.5 0.8 0.3 0.254 0.315 0.459 0.775
Troy Tulowitzki NYY R SS SS 65 218 198 25.4 8.2 27.7 1.2 49.8 32.8 8.3 0.4 83.6 41.2 16.0 1.9 1.6 0.8 0.5 0.252 0.312 0.423 0.735
Fernando Tatis Jr. SD R SS SS 57 217 197 23.0 6.2 22.6 5.9 45.8 29.5 8.6 1.6 76.2 61.2 15.4 2.0 1.6 1.0 2.5 0.233 0.293 0.387 0.680
Jake Marisnick HOU R OF OF 74 216 195 24.1 6.8 24.1 5.8 42.0 25.6 8.7 0.9 73.0 68.9 14.1 3.0 1.7 1.7 2.1 0.215 0.277 0.374 0.650
Michael A. Taylor WSH R OF OF 71 215 195 22.5 6.0 23.6 10.2 46.1 29.7 9.5 1.0 75.5 65.0 15.8 1.3 1.6 1.4 3.6 0.237 0.296 0.387 0.683
Miguel Rojas MIA R 1B/SS/ 3B 1B/2B/ SS/3B 71 215 196 19.0 3.2 19.3 2.2 51.4 38.0 9.7 0.6 71.9 27.7 13.0 2.7 1.6 1.4 1.0 0.262 0.314 0.366 0.680
Meibrys Viloria KC L C C 74 214 196 20.6 3.8 20.1 1.6 48.0 33.5 10.0 0.7 70.8 46.1 12.6 2.0 1.6 1.5 0.6 0.245 0.295 0.361 0.656
Cameron Gallagher KC R C C 73 210 191 20.6 3.6 19.8 1.2 47.8 33.7 10.0 0.4 69.4 35.5 14.1 1.8 1.6 1.4 0.5 0.250 0.305 0.363 0.669
Tommy La Stella LAA L 3B 2B/3B 70 205 182 21.6 2.7 19.0 1.4 45.5 33.0 9.4 0.5 63.9 34.1 17.8 2.1 1.6 1.4 0.6 0.250 0.321 0.351 0.672
Drew Jackson BAL R SS SS 66 205 182 20.0 4.0 18.4 5.9 41.1 28.6 7.9 0.6 62.1 47.8 16.4 3.4 1.5 1.2 2.6 0.225 0.299 0.340 0.639
Kevan Smith LAA R C C 70 200 184 20.7 4.2 21.7 0.7 48.3 35.0 8.8 0.3 70.2 33.0 10.6 2.9 1.5 1.1 0.3 0.262 0.310 0.381 0.692
Victor Caratini CHC S C/1B C/1B 68 200 179 21.1 4.4 22.0 0.7 46.9 31.9 10.0 0.6 71.1 39.8 15.9 2.4 1.5 1.1 0.3 0.262 0.328 0.397 0.725
Sandy Leon BOS S C C 70 198 179 20.3 4.0 20.1 0.9 40.2 27.0 8.8 0.4 62.0 50.2 13.9 1.8 1.6 1.5 0.4 0.225 0.285 0.346 0.631
Eduardo Nunez BOS R 2B/3B 2B/3B 66 198 185 23.0 4.6 24.1 4.9 52.7 36.8 10.6 0.8 78.7 27.3 8.5 1.3 1.5 1.3 1.8 0.285 0.318 0.425 0.743
Michael Hermosillo LAA R OF OF 68 197 176 21.3 4.6 19.9 5.5 40.0 27.1 7.5 0.8 62.9 54.3 14.6 3.6 1.5 1.3 2.5 0.227 0.297 0.357 0.654
Didi Gregorius NYY L SS SS 49 194 177 24.4 7.6 26.6 2.8 47.4 30.1 8.7 1.0 80.8 25.5 12.5 1.8 1.4 0.8 1.1 0.267 0.320 0.455 0.775
Cameron Maybin SF R OF OF 64 191 168 19.1 3.0 17.0 6.6 41.4 29.4 7.9 1.0 60.4 39.3 19.2 1.2 1.4 1.2 2.3 0.247 0.326 0.360 0.687
Andrew Toles LAD L OF OF 65 190 176 19.5 4.4 20.1 2.8 44.3 29.7 9.7 0.5 68.2 41.4 9.3 1.8 1.4 1.2 1.2 0.251 0.294 0.387 0.681
Dustin Fowler OAK L OF OF 59 188 176 22.3 4.9 20.7 6.1 46.0 30.1 8.5 2.5 74.2 37.7 7.8 1.2 1.4 1.6 2.5 0.261 0.295 0.422 0.717
J.D. Davis NYM R 3B 1B/3B/ OF 64 186 168 19.2 6.4 21.7 1.0 40.4 25.6 8.0 0.4 68.4 47.3 14.3 1.2 1.4 1.0 0.5 0.240 0.303 0.407 0.709
Austin Jackson FA R OF OF 64 186 168 18.0 2.4 15.5 2.1 40.7 28.7 8.7 0.9 58.4 52.4 14.5 1.1 1.3 1.4 0.8 0.243 0.305 0.348 0.653
Magneuris Sierra MIA L OF OF 61 184 172 13.5 1.3 14.0 5.1 41.4 32.2 6.6 1.3 54.5 39.3 7.8 1.1 1.4 1.4 2.4 0.240 0.275 0.316 0.591
Socrates Brito ARI L OF OF 62 180 166 17.8 4.1 18.9 3.3 41.3 27.7 8.2 1.3 64.4 45.6 10.5 1.1 1.3 1.1 1.3 0.249 0.296 0.388 0.684
Chad Wallach MIA R C C 64 180 161 14.6 3.7 15.3 0.9 32.8 21.7 7.0 0.4 51.6 53.9 14.1 2.3 1.4 1.2 0.4 0.203 0.275 0.321 0.596
David Freitas SEA R C C 65 180 163 17.6 3.2 17.1 0.8 38.8 26.7 8.5 0.4 57.7 38.1 12.6 1.7 1.4 1.4 0.3 0.238 0.297 0.354 0.651
Daniel Descalso CHC L 2B/3B 1B/2B/ 3B/OF 63 180 154 19.3 4.2 18.7 0.9 35.3 22.7 7.5 1.0 57.2 43.7 22.1 1.5 1.3 0.9 0.4 0.229 0.329 0.371 0.700
D.J. Stewart BAL L OF OF 58 179 158 19.8 5.7 19.7 3.9 37.9 24.5 7.2 0.5 63.3 40.1 16.7 2.1 1.3 1.1 1.6 0.241 0.320 0.401 0.721
Aaron Altherr PHI R OF OF 62 178 156 19.7 5.5 20.1 2.5 34.8 20.7 7.8 0.8 60.7 50.9 17.6 2.6 1.4 0.8 1.1 0.224 0.310 0.390 0.700
Roman Quinn PHI S OF OF 64 178 161 19.4 3.2 17.5 10.0 39.3 27.5 6.5 2.2 59.6 44.0 13.2 1.6 1.3 1.2 3.7 0.245 0.307 0.371 0.678
Anthony Santander BAL S OF OF 62 178 164 19.1 5.5 20.3 1.9 41.3 26.6 8.4 0.9 67.9 34.0 9.8 1.6 1.4 1.2 0.8 0.252 0.298 0.414 0.712
Yoenis Cespedes NYM R OF OF 43 177 159 21.5 8.3 24.9 1.2 40.4 23.2 8.3 0.5 74.7 42.5 14.0 1.8 1.3 0.4 0.5 0.253 0.318 0.469 0.787
Kyle Farmer CIN R 3B 3B 64 176 162 17.1 3.0 17.9 1.1 40.3 27.1 9.6 0.6 60.3 34.2 10.0 1.9 1.3 1.2 0.5 0.250 0.299 0.373 0.673
Tony Kemp HOU L OF 2B/OF 64 176 157 20.1 2.4 17.5 5.4 42.1 31.4 7.0 1.3 59.0 23.6 14.6 1.4 1.4 1.4 2.1 0.268 0.333 0.375 0.708
Manny Pina MIL R C C 62 175 159 17.0 4.2 18.9 1.0 39.9 27.0 8.1 0.7 61.8 35.7 11.4 2.0 1.3 1.0 0.4 0.251 0.306 0.388 0.694
Erik Kratz MIL R C C 62 175 160 17.1 5.3 19.7 1.1 37.2 24.1 7.4 0.4 61.5 39.6 10.0 2.9 1.3 1.1 0.4 0.234 0.288 0.386 0.674
Christian Walker ARI R 1B 1B 62 174 158 19.2 6.5 21.6 1.2 37.7 22.2 7.8 1.1 67.2 48.4 12.4 1.7 1.3 1.2 0.5 0.240 0.300 0.427 0.726
Jose Iglesias CIN R SS SS 60 172 158 17.0 2.2 17.0 4.2 41.5 28.8 10.1 0.5 59.3 21.8 8.9 2.0 1.3 1.3 1.8 0.263 0.308 0.374 0.681
Tyler Saladino MIL R SS 2B/SS 60 172 155 17.2 3.5 16.5 4.0 35.9 24.8 6.7 0.8 54.7 41.6 12.6 1.7 1.3 1.1 1.5 0.231 0.293 0.352 0.646
Franklin Barreto OAK R 2B 2B 55 172 156 19.3 5.6 19.5 3.1 36.7 23.3 6.9 0.9 62.2 53.7 11.0 2.0 1.3 1.3 1.3 0.234 0.291 0.398 0.689
Elias Diaz PIT R C C 62 171 157 17.0 3.7 18.9 1.0 42.1 29.7 8.4 0.3 62.3 29.2 11.0 1.0 1.3 0.8 0.5 0.268 0.318 0.397 0.716
Max Moroff CLE S 2B 2B/SS 60 171 146 19.4 4.2 17.0 2.0 32.1 20.6 6.7 0.6 52.6 48.2 21.1 1.3 1.3 1.3 1.0 0.219 0.320 0.360 0.680
Michael Perez TB L C C 62 171 156 16.6 3.4 16.7 0.9 36.5 25.1 7.6 0.5 55.3 38.3 11.2 1.1 1.3 1.2 0.4 0.234 0.288 0.354 0.642
Jorge Bonifacio KC R OF OF 55 168 150 17.0 4.3 17.6 0.8 35.7 23.1 7.4 0.9 57.7 43.9 15.0 1.3 1.3 0.7 0.3 0.239 0.311 0.385 0.696
Ben Gamel MIL L OF OF 57 164 147 17.3 2.5 16.0 2.8 39.1 27.3 7.7 1.6 57.5 34.4 14.0 1.2 1.2 1.1 1.2 0.267 0.333 0.392 0.726
Bobby Wilson DET R C C 60 164 149 15.4 3.5 15.1 1.2 31.7 21.7 6.2 0.4 49.1 42.3 10.8 1.2 1.3 1.3 0.4 0.212 0.268 0.328 0.597
Jose Rondon CHW R DH SS/3B 56 162 151 16.9 4.8 18.0 2.7 36.5 24.1 6.7 0.9 59.3 38.1 8.2 1.1 1.2 0.9 1.3 0.242 0.284 0.394 0.678
Melky Cabrera PIT S OF OF 55 161 149 17.4 3.5 18.2 0.9 42.0 29.2 8.7 0.5 62.3 21.2 9.7 0.9 1.2 0.6 0.4 0.283 0.328 0.420 0.748
Andrew Knapp PHI S C C 57 156 136 14.8 3.2 14.8 1.0 29.6 19.7 5.8 0.8 46.7 47.2 16.5 1.1 1.2 1.0 0.4 0.217 0.305 0.343 0.648
Noel Cuevas COL R OF OF 56 155 144 16.5 3.1 17.2 2.7 39.6 28.5 6.5 1.5 58.4 29.7 7.4 1.5 1.2 1.0 1.1 0.275 0.315 0.406 0.721
Matt Joyce SF L OF OF 53 155 132 17.4 4.3 15.0 1.1 30.3 18.7 7.0 0.3 50.7 36.1 19.8 1.1 1.1 1.1 0.5 0.230 0.333 0.384 0.717
Andrew Knizner STL R C C 54 152 139 14.9 2.8 15.4 0.6 36.5 26.2 7.2 0.3 52.8 22.8 8.8 1.7 1.1 0.9 0.3 0.262 0.311 0.378 0.690
Phillip Ervin CIN R OF OF 54 148 131 15.4 3.8 16.2 5.0 31.0 20.0 6.4 0.8 50.4 35.0 12.9 2.1 1.1 1.0 1.9 0.236 0.312 0.385 0.697
Derek Dietrich CIN L 1B/OF 1B/OF 53 147 130 16.0 4.8 17.8 0.5 32.1 19.8 6.8 0.7 54.6 36.3 10.3 4.9 1.1 0.9 0.2 0.247 0.323 0.421 0.744
Preston Tucker CHW L OF OF 54 147 132 16.1 5.4 17.1 0.7 30.2 17.9 6.1 0.7 54.0 35.1 11.4 1.4 1.1 0.9 0.3 0.228 0.294 0.408 0.702
Alcides Escobar BAL R SS/3B SS/3B/ OF 53 147 137 13.1 1.6 12.4 2.1 33.3 24.8 6.2 0.7 45.6 23.8 6.7 1.1 1.1 1.1 0.8 0.243 0.282 0.333 0.614
Patrick Wisdom TEX R 3B 3B 54 146 131 16.1 5.0 16.5 2.1 29.5 18.0 6.2 0.3 51.2 46.3 11.1 1.4 1.1 0.9 0.8 0.224 0.290 0.390 0.679
Rio Ruiz BAL L 3B 3B 54 146 131 15.3 3.9 15.4 0.9 32.3 21.7 6.0 0.7 51.3 31.6 12.5 0.8 1.1 0.9 0.4 0.247 0.313 0.393 0.706
Keston Hiura MIL R 2B 2B 43 146 135 14.8 3.0 15.2 2.8 34.8 23.4 7.6 0.9 53.0 30.4 7.5 1.8 1.1 0.9 1.3 0.258 0.304 0.393 0.697
Greg Garcia SD L 2B 2B/SS/ 3B 53 145 124 13.9 1.7 12.0 1.9 30.1 22.2 5.7 0.4 41.7 30.3 16.4 2.1 1.1 1.0 0.7 0.242 0.338 0.336 0.673
Aledmys Diaz HOU R SS/3B SS/3B 52 144 132 17.3 4.8 18.3 1.6 34.7 21.8 7.8 0.3 57.4 21.8 8.6 1.5 1.1 0.9 0.8 0.263 0.313 0.435 0.748
Jose Trevino TEX R C C 54 144 134 13.6 2.4 13.7 0.9 31.9 23.2 5.8 0.5 45.9 21.0 7.0 0.9 1.1 0.9 0.4 0.238 0.278 0.342 0.620
David Freese LAD R 1B/3B 1B/3B 52 144 127 15.8 4.2 16.7 0.3 31.4 21.1 5.8 0.4 50.6 37.3 12.6 2.6 1.1 0.6 0.2 0.247 0.325 0.398 0.722
Jose Osuna PIT R 1B 1B/3B/ OF 51 142 131 15.5 3.9 17.0 1.5 35.0 22.2 8.4 0.5 56.0 26.3 8.5 1.0 1.1 0.8 0.7 0.268 0.316 0.429 0.745
Blake Swihart BOS S C/OF C/1B/ OF 53 141 127 15.2 2.6 14.3 2.5 29.9 20.4 6.4 0.5 45.2 36.3 11.2 1.0 1.1 0.9 1.0 0.236 0.301 0.356 0.656
Hunter Pence TEX R OF OF 44 129 118 14.4 3.5 14.7 1.2 30.9 21.3 5.5 0.6 48.1 28.3 9.0 0.8 0.9 0.6 0.5 0.263 0.317 0.409 0.726
Daniel Vogelbach SEA L 1B 1B 47 126 108 14.9 4.7 15.7 0.4 26.7 17.0 4.9 0.1 46.1 27.9 16.3 0.8 0.9 0.4 0.2 0.248 0.349 0.428 0.776
Jose Pirela SD R 2B/OF 1B/2B/ OF 44 126 115 13.1 2.5 12.6 1.8 30.0 20.5 6.3 0.7 45.1 24.3 8.4 0.8 0.9 0.6 0.8 0.260 0.313 0.391 0.704
John Ryan Murphy ARI R C C 47 124 113 11.4 3.1 12.7 0.5 25.4 16.6 5.3 0.3 40.8 30.9 8.3 0.8 0.9 0.8 0.2 0.225 0.280 0.361 0.641
Pat Valaika COL R 2B 1B/2B/ SS/3B 47 124 115 13.0 3.6 14.5 1.2 28.1 17.8 6.1 0.5 46.0 28.8 6.2 0.7 0.9 0.9 0.5 0.244 0.284 0.399 0.683
Brendan Rodgers COL R SS SS 38 123 114 14.3 4.0 15.5 1.7 31.9 20.8 6.5 0.5 51.4 24.0 5.9 1.6 0.9 0.8 0.8 0.280 0.323 0.451 0.774
Bo Bichette TOR R SS SS 34 123 113 13.6 2.3 12.8 4.2 29.7 19.5 7.2 0.8 45.4 23.1 7.4 0.9 0.9 0.8 1.7 0.263 0.311 0.401 0.712
Aramis Garcia SF R C C/1B 44 122 113 10.5 3.2 12.2 0.4 24.9 16.6 4.8 0.3 39.8 34.4 6.4 1.1 0.9 0.7 0.2 0.220 0.267 0.352 0.619
David Bote CHC R 3B 2B/3B 44 121 109 12.6 3.7 14.4 1.5 26.8 17.2 5.2 0.7 44.5 30.1 9.2 1.3 0.9 0.7 0.7 0.247 0.311 0.409 0.719
Travis Jankowski SD L OF OF 41 118 104 12.5 1.1 8.6 5.6 25.5 19.2 4.5 0.6 34.6 26.3 11.3 0.8 0.8 1.0 1.9 0.244 0.322 0.332 0.654
Richard Urena TOR S SS 2B/SS 44 118 110 11.5 1.9 11.0 1.4 26.4 18.2 5.7 0.7 39.2 25.6 5.6 0.6 0.9 0.9 0.6 0.240 0.278 0.356 0.634
Jose Bautista FA R 3B/OF 3B/OF 41 117 98 13.8 4.0 12.5 1.2 21.0 12.4 4.4 0.1 37.6 30.5 16.7 1.4 0.8 0.6 0.5 0.215 0.335 0.386 0.721
Rosell Herrera MIA S OF 2B/3B/ OF 42 115 104 10.3 1.3 9.6 3.1 25.8 18.7 4.9 1.0 36.4 22.8 8.3 0.9 0.9 0.7 1.4 0.247 0.305 0.349 0.654
Rowdy Tellez TOR L 1B 1B 42 115 104 13.4 4.1 14.7 1.3 26.9 16.4 6.2 0.2 45.6 23.3 8.8 0.9 0.8 0.3 0.6 0.257 0.319 0.438 0.757
Adolis Garcia STL R OF OF 42 115 108 11.9 3.4 12.9 2.2 25.2 15.7 5.6 0.5 42.2 30.5 4.8 0.8 0.9 0.7 0.9 0.234 0.270 0.391 0.661
Zach Borenstein CHC L OF OF 42 114 101 11.4 3.2 11.7 0.9 20.9 12.6 4.6 0.4 36.0 40.8 10.8 0.8 0.8 0.7 0.4 0.207 0.286 0.356 0.642
Sam Travis BOS R OF OF 42 114 103 12.4 2.5 12.4 0.9 25.9 18.2 5.1 0.2 38.8 26.2 8.4 0.9 0.9 0.6 0.4 0.252 0.311 0.376 0.687
O’Koyea Dickson WSH R 1B 1B 42 114 103 11.9 3.6 12.9 0.9 23.6 14.7 5.0 0.3 40.1 29.3 8.1 1.2 0.9 0.7 0.4 0.229 0.290 0.388 0.679
Tzu-Wei Lin BOS L SS SS/OF 42 114 103 12.7 1.3 11.0 1.9 26.3 18.2 5.9 0.9 37.9 23.6 8.5 0.6 0.8 0.8 0.9 0.254 0.312 0.367 0.679
Justin Williams STL L OF OF 42 114 105 11.7 3.2 12.8 1.2 26.6 18.0 5.2 0.3 41.9 23.8 6.3 0.9 0.9 0.7 0.5 0.253 0.298 0.398 0.697
Tyler Austin MIN R 1B 1B 41 113 102 13.5 5.0 15.1 0.7 24.3 13.8 5.2 0.3 45.1 35.3 9.4 0.7 0.8 0.5 0.3 0.240 0.306 0.445 0.751
T.J. Rivera FA R 2B 2B/3B 41 113 105 11.1 1.8 11.8 0.9 29.1 21.3 5.5 0.5 41.0 18.7 4.8 1.4 0.8 0.6 0.4 0.276 0.313 0.389 0.702
A.J. Reed HOU L 1B 1B 42 113 100 13.3 4.8 14.3 0.2 22.1 12.8 4.2 0.4 41.4 33.6 11.2 0.7 0.8 0.6 0.1 0.222 0.302 0.415 0.718
Christian Arroyo TB R 2B 2B/3B 41 113 104 11.4 2.2 11.8 1.3 27.1 18.9 5.6 0.4 40.1 22.2 6.2 1.3 0.9 0.6 0.6 0.261 0.307 0.385 0.693
Jacoby Ellsbury NYY L OF OF 39 113 101 13.6 2.2 10.9 3.5 24.6 17.0 4.7 0.7 37.3 18.5 9.9 0.9 0.8 0.8 1.0 0.245 0.316 0.371 0.687
Scott Heineman TEX R OF OF 42 113 102 12.4 2.3 11.7 2.7 26.5 18.6 5.1 0.6 39.6 26.6 8.2 1.3 0.8 0.7 1.2 0.261 0.321 0.389 0.710
Gunnar Heidt TOR R SS SS 42 113 103 10.2 1.8 9.5 1.9 21.2 14.2 4.9 0.3 32.1 33.9 7.4 0.8 0.8 0.7 0.8 0.205 0.261 0.311 0.572
Hanser Alberto BAL R SS SS 41 112 106 11.0 2.0 11.4 0.9 28.9 21.3 5.1 0.5 40.8 13.2 3.4 0.9 0.8 0.7 0.4 0.272 0.298 0.385 0.683
Ildemaro Vargas ARI S SS SS 42 112 104 10.8 1.4 10.8 1.6 27.9 20.4 5.2 0.9 39.2 12.0 5.5 0.8 0.8 0.7 0.6 0.268 0.308 0.376 0.684
Ryan Cordell CHW R OF OF 42 112 103 11.3 3.1 11.6 2.4 23.0 15.1 4.3 0.6 37.7 30.8 6.8 1.0 0.9 0.6 0.9 0.224 0.278 0.367 0.644
Matt Holliday FA R OF OF 40 112 98 12.4 3.5 13.0 0.3 23.2 14.6 4.8 0.2 39.1 28.2 11.4 1.2 0.8 0.3 0.1 0.236 0.321 0.398 0.719
Chris Young FA R OF OF 42 112 99 12.0 3.7 12.8 1.4 22.2 13.1 4.7 0.7 39.4 28.1 10.1 1.3 0.8 0.7 0.6 0.224 0.302 0.397 0.699
Eric Haase CLE R C C 42 112 102 11.8 3.9 12.8 0.8 20.8 11.9 4.5 0.5 37.9 37.0 7.4 1.0 0.8 0.7 0.3 0.204 0.262 0.371 0.633
Abiatal Avelino SF R SS SS 42 112 104 9.9 1.9 10.6 3.3 25.0 18.0 3.7 1.3 37.0 22.3 6.0 0.8 0.8 0.7 1.4 0.241 0.285 0.357 0.642
Edmundo Sosa STL R SS SS 42 112 104 10.0 1.6 10.4 1.3 25.1 18.0 5.2 0.3 35.8 22.6 4.9 1.1 0.8 0.7 0.6 0.240 0.280 0.342 0.622
Shed Long SEA S 2B 2B 36 112 101 11.7 2.8 11.6 2.2 24.2 16.3 4.6 0.5 38.2 26.5 8.4 1.1 0.8 0.7 0.9 0.240 0.303 0.379 0.682
Wilmer Difo WSH S 2B/3B 2B/SS/ 3B 42 111 101 10.3 1.7 11.0 2.5 25.1 18.2 4.1 1.1 36.3 20.4 8.3 0.6 0.8 0.7 0.9 0.249 0.308 0.362 0.670
Mike Tauchman COL L OF OF 42 111 99 12.4 2.2 11.9 2.8 26.6 18.6 4.9 1.0 40.0 21.5 9.4 0.7 0.8 0.8 1.3 0.268 0.333 0.402 0.735
Derek Fisher HOU L OF OF 42 111 98 13.2 3.9 12.7 2.9 21.7 13.3 3.9 0.6 38.4 35.5 10.5 0.9 0.8 0.8 1.1 0.221 0.300 0.392 0.692
Charlie Culberson ATL R SS/3B/ OF 2B/SS/ 3B/OF 42 111 102 10.5 2.3 11.1 1.4 24.1 16.4 4.9 0.5 36.8 26.8 6.5 0.9 0.8 0.7 0.6 0.236 0.285 0.360 0.645
Kyle Higashioka NYY R C C 42 111 101 12.0 3.7 12.7 0.7 21.9 13.6 4.3 0.3 37.9 26.1 7.6 1.0 0.9 0.8 0.3 0.217 0.276 0.376 0.652
Tomas Nido NYM R C C 42 111 103 9.3 2.3 10.8 0.3 24.0 16.4 5.1 0.3 36.3 22.2 5.2 0.8 0.9 0.7 0.1 0.232 0.272 0.351 0.622
Yairo Munoz STL R 2B/SS/ 3B/OF 2B/SS/ 3B/OF 42 111 101 11.4 2.7 12.2 2.2 26.2 18.1 5.0 0.3 40.1 21.4 7.4 0.9 0.8 0.7 1.0 0.259 0.313 0.396 0.709
Ichiro Suzuki SEA L OF OF 41 110 100 10.0 1.4 9.4 1.0 23.7 18.1 3.9 0.4 32.4 20.6 7.5 1.0 0.8 0.7 0.4 0.238 0.296 0.324 0.620
Ronald Torreyes MIN R 2B 2B/SS/ 3B 42 110 103 11.0 0.8 10.2 0.8 27.7 20.6 5.6 0.6 37.1 14.7 4.9 0.7 0.9 0.9 0.3 0.270 0.306 0.361 0.667
Drew Robinson STL L OF 2B/OF 42 110 96 11.6 3.3 11.9 2.0 20.2 11.9 4.4 0.6 35.9 37.9 11.5 0.6 0.8 0.8 0.9 0.210 0.296 0.372 0.668
Rafael Lopez ATL L C C 42 110 99 10.1 2.8 10.9 0.5 20.8 13.9 3.8 0.3 33.6 34.0 9.0 0.9 0.8 0.7 0.2 0.211 0.281 0.341 0.621
Breyvic Valera SF S 2B 2B 42 110 100 9.9 1.2 9.9 2.1 26.0 19.9 3.9 1.0 35.5 13.0 8.3 0.5 0.8 0.8 1.1 0.261 0.318 0.356 0.674
Carlos Tocci TEX R OF OF 41 110 101 10.6 0.9 9.4 1.8 25.1 19.0 4.1 0.9 33.9 23.1 6.2 1.1 0.8 0.8 0.8 0.248 0.297 0.336 0.633
David Banuelos MIN R C C 42 110 104 8.2 1.4 8.1 1.0 18.3 13.7 3.0 0.2 25.8 32.8 3.9 1.0 0.8 0.7 0.4 0.176 0.212 0.249 0.461
Charlie Tilson CHW L OF OF 41 109 99 10.0 1.2 9.3 2.4 24.2 18.3 4.1 0.5 33.0 21.3 7.1 0.9 0.9 0.8 1.1 0.243 0.297 0.332 0.629
Tom Murphy COL R C C 41 109 100 11.8 4.1 13.5 1.2 22.7 12.9 5.1 0.6 41.3 36.8 6.4 1.1 0.8 0.7 0.5 0.227 0.279 0.413 0.692
Jake Cave MIN L OF OF 42 109 99 12.1 3.0 12.1 1.2 24.7 16.3 4.8 0.6 39.8 31.1 7.4 1.0 0.8 0.7 0.5 0.250 0.306 0.401 0.707
Clint Frazier NYY R OF OF 40 109 97 13.6 4.0 13.6 1.7 23.6 14.2 4.7 0.6 41.7 28.0 9.8 1.0 0.8 0.7 0.7 0.244 0.317 0.431 0.748
Nick Hundley OAK R C C 42 109 100 11.4 3.1 12.2 0.7 23.6 14.8 5.2 0.4 39.1 29.3 6.7 0.7 0.8 0.6 0.3 0.235 0.285 0.390 0.675
Jesus Sucre BAL R C C 42 109 101 10.6 2.2 10.8 1.0 25.0 18.0 4.5 0.3 36.8 19.2 5.5 1.2 0.8 0.8 0.4 0.248 0.294 0.365 0.658
Ehire Adrianza MIN S SS/3B 1B/2B/ SS/3B/OF 41 109 98 11.7 1.8 10.8 1.9 24.9 17.1 5.6 0.4 36.7 22.0 8.0 0.9 0.9 0.9 0.7 0.253 0.313 0.373 0.686
Howie Kendrick WSH R 2B 2B/OF 39 108 98 12.3 2.2 11.7 1.9 27.5 19.4 5.6 0.3 40.2 21.5 7.4 1.2 0.8 0.6 0.8 0.281 0.336 0.410 0.746
Jose Briceno LAA R C C 42 108 101 10.8 3.3 12.0 1.2 22.1 14.7 3.9 0.3 36.4 25.4 5.1 0.8 0.8 0.7 0.5 0.220 0.261 0.362 0.623
Taylor Ward LAA R 3B 3B 42 108 95 12.2 3.0 11.5 1.5 23.1 16.2 3.8 0.1 36.1 25.4 10.0 0.9 0.8 0.9 0.6 0.243 0.318 0.379 0.697
Caleb Joseph ARI R C C 42 108 100 9.8 2.2 10.6 0.8 22.6 15.0 4.6 0.7 35.2 27.1 5.6 1.0 0.8 0.8 0.3 0.226 0.272 0.353 0.626
Adeiny Hechavarria NYM R SS SS 40 106 98 9.3 1.6 9.9 0.9 24.2 17.8 4.3 0.4 34.1 18.7 5.8 0.5 0.8 0.8 0.3 0.247 0.290 0.348 0.638
Anthony Alford TOR R OF OF 34 106 95 10.7 1.7 9.2 3.3 21.7 14.9 4.9 0.3 32.1 29.1 7.9 1.4 0.8 0.7 1.3 0.228 0.295 0.338 0.633
Tyler Wade NYY L 2B 2B/OF 42 106 95 11.5 1.6 9.9 3.4 22.6 16.1 4.4 0.5 32.8 23.4 8.6 0.9 0.8 0.8 1.3 0.238 0.304 0.345 0.649
Julio Garcia MIL R SS SS 42 106 101 7.0 1.0 7.4 0.9 18.2 14.1 2.8 0.3 24.5 30.8 2.9 0.8 0.8 0.7 0.4 0.181 0.208 0.243 0.450
Griffin Benson ATL 1B 1B 42 106 100 6.4 1.4 6.9 0.8 14.6 11.4 1.7 0.1 20.8 36.7 3.7 1.1 0.8 0.6 0.3 0.146 0.184 0.208 0.392
Tyler Friis CLE 2B 2B 42 106 98 9.3 1.1 8.6 1.6 20.9 15.9 3.7 0.3 28.4 17.2 6.1 0.7 0.8 0.7 0.7 0.214 0.264 0.291 0.555
Jack Reinheimer BAL R OF OF 37 104 94 9.3 1.0 8.3 2.6 22.1 16.8 3.9 0.4 29.7 22.6 7.4 0.7 0.8 0.7 1.2 0.234 0.292 0.315 0.607
Alex Blandino CIN R 2B 2B/SS/ 3B 40 104 91 9.8 2.1 10.3 0.9 21.1 13.9 4.8 0.2 32.7 25.8 10.0 1.6 0.8 0.7 0.4 0.232 0.316 0.359 0.675
Rene Rivera SF R C C 39 104 95 9.4 3.1 10.9 0.6 20.6 13.2 4.0 0.3 34.4 31.4 6.2 1.2 0.8 0.7 0.2 0.217 0.272 0.362 0.634
Pablo Sandoval SF S 1B/3B 1B/3B 39 103 94 9.6 3.0 11.6 0.3 22.8 15.2 4.3 0.4 36.6 21.4 6.8 0.8 0.7 0.5 0.1 0.242 0.296 0.389 0.684
Austin Riley ATL R 3B 3B 35 98 89 10.7 3.5 12.0 0.4 22.3 13.9 4.5 0.3 38.1 28.2 6.6 0.9 0.7 0.6 0.2 0.250 0.306 0.426 0.732
Dylan Moore SEA R 1B 1B 32 95 86 9.3 1.8 9.0 2.6 19.6 13.2 4.0 0.6 30.2 19.2 6.3 1.1 0.7 0.6 1.1 0.227 0.286 0.350 0.636
Victor Reyes DET S OF OF 32 92 86 9.0 1.1 8.7 2.7 22.6 17.0 3.6 0.9 31.3 16.6 3.8 0.5 0.7 0.6 1.1 0.261 0.294 0.361 0.655
Yasmany Tomas ARI R OF OF 33 90 84 9.3 3.3 11.3 0.5 20.1 12.1 4.2 0.5 35.1 25.9 4.6 0.4 0.7 0.4 0.2 0.239 0.280 0.419 0.699
Brandon Dixon DET R 1B/OF 1B/2B/ 3B/OF 31 90 83 9.7 2.6 10.1 2.1 20.0 12.6 4.4 0.4 33.2 25.9 5.2 0.8 0.7 0.6 0.9 0.242 0.291 0.400 0.692
Brandon Phillips FA R 2B 2B 31 88 82 9.1 1.5 8.6 1.2 21.2 15.4 4.1 0.2 30.3 13.9 3.8 1.0 0.6 0.4 0.5 0.259 0.298 0.369 0.667
Jace Peterson FA L 3B/OF 2B/3B/ OF 32 85 73 8.6 1.1 7.2 2.5 16.9 11.6 3.7 0.5 25.0 18.3 9.9 0.7 0.6 0.6 1.1 0.231 0.326 0.341 0.667
Marco Hernandez BOS L 2B 2B 32 85 79 9.7 1.3 9.2 1.4 21.8 15.2 4.8 0.6 31.6 18.9 3.9 0.7 0.6 0.6 0.6 0.275 0.313 0.399 0.711
Andrew Romine FA S SS 1B/2B/ SS/3B/OF 32 84 77 7.4 0.9 7.1 1.2 17.7 13.2 3.2 0.4 24.5 19.4 5.1 1.0 0.6 0.5 0.5 0.231 0.285 0.320 0.605
Logan Forsythe TEX R 2B 2B/3B 30 82 71 9.2 1.5 7.8 0.6 17.6 12.2 3.7 0.2 26.2 17.8 9.3 0.9 0.6 0.5 0.3 0.249 0.341 0.371 0.712
Lucas Duda MIN L 1B 1B 30 81 71 9.9 3.7 10.7 0.2 16.9 9.1 3.8 0.2 32.3 21.4 8.1 1.1 0.6 0.3 0.1 0.238 0.324 0.455 0.778
Ronny Rodriguez DET R SS 1B/2B/ SS/3B 27 80 75 8.4 2.1 9.1 1.6 19.5 13.2 3.6 0.7 30.7 16.0 3.4 0.4 0.6 0.4 0.8 0.259 0.292 0.408 0.700
Andrew Velazquez TB S OF OF 29 80 74 7.8 1.5 7.5 2.9 16.5 11.7 2.6 0.6 24.9 22.0 4.8 0.7 0.6 0.5 1.2 0.225 0.276 0.340 0.616
Mike Gerber SF L OF OF 29 79 72 7.3 1.8 7.4 0.9 15.7 10.2 3.2 0.5 25.3 25.2 5.3 0.6 0.6 0.5 0.4 0.219 0.277 0.352 0.629
Joe McCarthy TB L OF OF 29 78 68 8.7 1.9 8.1 1.4 16.3 10.7 3.3 0.4 26.0 17.6 8.4 0.8 0.6 0.5 0.5 0.240 0.329 0.384 0.713
Jesus Sanchez TB L OF OF 29 78 73 8.0 1.9 8.4 0.9 18.1 12.2 3.7 0.3 28.0 17.1 3.7 0.6 0.6 0.5 0.4 0.249 0.288 0.385 0.673
Carter Kieboom WSH R SS SS 28 78 71 8.1 1.8 8.4 0.8 18.4 12.6 3.8 0.2 28.0 16.7 5.5 0.6 0.6 0.5 0.3 0.259 0.316 0.395 0.711
Jose Reyes FA S SS/3B 2B/SS/ 3B 29 76 68 8.1 1.7 7.7 2.1 16.8 11.2 3.2 0.7 26.4 12.4 6.1 0.4 0.6 0.5 0.7 0.245 0.308 0.386 0.694
Nick Ciuffo TB L C C 29 76 70 7.0 1.4 6.9 0.5 15.3 10.6 3.1 0.1 22.9 19.8 4.4 0.5 0.6 0.6 0.2 0.218 0.267 0.328 0.595
Mark Reynolds COL R 1B 1B/3B 29 76 67 9.1 3.2 10.2 0.3 16.5 10.1 3.0 0.2 29.4 21.9 7.7 0.6 0.6 0.3 0.1 0.247 0.328 0.441 0.768
Curt Casali CIN R C C/1B 29 75 66 7.3 2.1 8.0 0.4 15.3 10.0 3.1 0.1 24.9 18.2 6.7 0.8 0.6 0.6 0.2 0.230 0.306 0.376 0.682
Brandon Guyer FA R OF OF 28 75 66 7.9 1.9 7.9 0.6 15.6 10.1 3.4 0.2 25.0 16.2 4.8 3.4 0.6 0.4 0.2 0.237 0.319 0.380 0.700
Jhonatan Solano FA R C C 28 75 69 6.5 1.2 6.7 0.6 15.5 11.1 2.8 0.3 22.5 12.0 3.8 0.9 0.6 0.5 0.2 0.222 0.269 0.323 0.593
Andrew Susac BAL R C C 28 74 65 7.6 2.2 7.4 0.4 13.7 8.6 2.8 0.2 23.3 22.5 7.3 0.5 0.6 0.5 0.2 0.210 0.293 0.358 0.651
Devin Mesoraco NYM R C C 28 74 65 7.8 2.8 8.7 0.3 14.6 8.8 2.8 0.2 26.3 15.7 6.9 1.1 0.6 0.4 0.1 0.225 0.307 0.404 0.711
A.J. Ellis FA R C C 29 74 64 7.3 1.6 7.4 0.4 15.4 10.6 3.1 0.2 23.6 15.6 7.7 1.1 0.6 0.5 0.1 0.240 0.328 0.368 0.696
Myles Straw HOU R OF OF 26 74 65 8.3 0.6 6.3 4.1 16.5 12.8 2.5 0.6 22.1 14.4 7.2 0.5 0.5 0.5 1.5 0.253 0.329 0.338 0.666
Eric Young Jr. BAL S OF OF 29 74 67 7.2 1.2 6.5 2.3 15.6 11.3 2.6 0.5 22.8 16.7 5.2 0.9 0.6 0.5 0.8 0.233 0.294 0.340 0.635
Adam Moore TEX R C C 29 74 68 7.2 1.6 7.1 0.4 15.2 10.5 2.8 0.3 23.2 21.5 4.5 0.7 0.6 0.5 0.2 0.224 0.277 0.343 0.620
Jacob Stallings PIT R C C 26 72 66 6.4 1.1 6.9 0.5 16.7 11.7 3.7 0.2 24.0 15.3 3.8 0.7 0.5 0.5 0.2 0.251 0.297 0.361 0.657
Ryan Flaherty FA L 3B 1B/3B 28 72 63 7.0 1.4 6.9 1.2 14.8 10.1 3.1 0.2 22.3 16.8 6.8 0.7 0.6 0.5 0.4 0.233 0.311 0.352 0.663
Stephen Vogt SF L C C 27 71 64 6.8 1.8 7.5 0.4 15.4 10.2 3.2 0.3 24.4 13.6 5.5 0.7 0.5 0.3 0.2 0.241 0.305 0.381 0.686
Sean Rodriguez PHI R 2B 2B/SS/ OF 27 70 62 7.2 2.5 7.5 0.6 12.2 7.2 2.3 0.2 22.5 24.4 6.3 0.9 0.5 0.5 0.2 0.198 0.280 0.364 0.644
Luke Maile TOR R C C 26 66 60 6.4 1.2 6.0 0.6 13.1 8.7 3.0 0.2 20.2 17.2 4.7 0.6 0.5 0.5 0.2 0.220 0.281 0.339 0.620
Ryder Jones SF L 1B 1B/3B 24 63 58 5.8 1.5 6.5 0.5 13.9 9.2 2.7 0.4 22.0 15.6 3.6 0.7 0.5 0.4 0.2 0.240 0.291 0.381 0.672
Wander Franco TB S SS SS 21 62 59 4.5 0.8 4.7 0.6 10.9 8.7 1.2 0.2 14.8 10.9 1.9 0.6 0.5 0.4 0.2 0.185 0.216 0.252 0.469
John Andreoli SF R OF OF 22 59 51 5.0 0.7 4.7 1.7 10.9 7.7 2.0 0.4 15.9 17.7 6.4 0.5 0.4 0.4 0.6 0.213 0.303 0.310 0.613
Terrance Gore KC R OF OF 21 59 54 5.1 0.3 4.2 4.4 11.6 9.2 1.7 0.4 15.0 15.3 4.0 0.6 0.4 0.3 1.3 0.216 0.275 0.279 0.555
Dominic Smith NYM L 1B 1B/OF 22 59 54 5.7 1.7 6.5 0.2 12.7 8.1 2.7 0.2 20.8 13.8 3.8 0.4 0.4 0.3 0.1 0.235 0.289 0.385 0.674
Rocky Gale LAD R C C 21 58 54 4.7 0.6 4.7 0.3 12.1 9.2 2.2 0.2 16.3 11.5 2.6 0.5 0.4 0.4 0.1 0.223 0.264 0.301 0.565
Dawel Lugo DET R 2B 2B 20 53 50 5.2 0.8 5.4 0.7 13.5 9.9 2.4 0.4 19.2 7.2 1.9 0.3 0.4 0.4 0.3 0.270 0.299 0.383 0.682
Luis Guillorme NYM L 2B 2B/3B 20 53 47 4.6 0.4 4.4 0.4 12.0 9.3 2.1 0.2 15.7 7.3 4.5 0.3 0.4 0.3 0.2 0.253 0.319 0.331 0.650
Pablo Reyes PIT R OF OF 19 52 47 5.6 1.1 5.2 1.5 12.5 8.7 2.4 0.3 18.6 9.3 3.6 0.3 0.4 0.3 0.7 0.264 0.317 0.394 0.711
Jonathan Davis TOR R OF OF 19 52 46 5.5 0.9 4.7 1.5 10.8 7.2 2.3 0.3 16.4 11.8 4.0 0.9 0.4 0.3 0.6 0.231 0.302 0.354 0.656
Ramon Urias STL R 2B 2B 19 51 46 5.2 1.2 5.5 0.5 11.8 7.9 2.6 0.1 18.2 10.2 3.1 0.8 0.4 0.3 0.3 0.254 0.309 0.393 0.702
Kevin Cron ARI R 1B 1B 19 51 47 5.4 1.9 6.1 0.2 11.2 6.8 2.3 0.1 19.5 14.0 3.1 0.5 0.4 0.3 0.1 0.239 0.291 0.418 0.709
Matt Beaty LAD L 1B 1B 19 51 47 5.2 1.2 5.5 0.3 11.9 8.1 2.4 0.1 18.2 8.5 3.1 0.5 0.4 0.3 0.1 0.254 0.305 0.389 0.694
Tyrone Taylor MIL R OF OF 19 51 47 5.0 1.3 5.3 0.9 10.8 7.2 2.0 0.3 17.4 9.7 2.7 0.5 0.4 0.3 0.4 0.231 0.277 0.370 0.647
Edwin Rios LAD L 1B 1B 19 51 47 5.4 1.8 6.1 0.2 11.3 7.0 2.5 0.1 19.3 15.5 2.7 0.5 0.4 0.3 0.1 0.240 0.286 0.410 0.696
Oscar Mercado CLE R SS SS 19 51 46 5.2 0.8 4.8 2.2 11.0 7.9 2.2 0.2 15.8 9.9 3.4 0.5 0.4 0.3 1.1 0.237 0.294 0.339 0.633
Jason Martin PIT L OF OF 19 51 47 5.2 1.4 5.5 1.2 11.4 7.6 2.1 0.4 18.4 11.9 3.4 0.3 0.4 0.3 0.6 0.245 0.299 0.394 0.693
Jose Siri CIN R OF OF 19 51 47 5.1 1.5 5.6 1.7 10.6 6.7 2.0 0.5 18.0 15.3 2.5 0.4 0.4 0.3 0.7 0.224 0.267 0.380 0.647
Kelvin Gutierrez KC R 3B 3B 19 51 47 5.0 0.9 4.9 1.0 11.9 8.6 2.0 0.5 17.5 11.2 2.9 0.4 0.4 0.3 0.4 0.253 0.300 0.371 0.671
Domingo Leyba ARI S SS SS 19 51 47 4.8 0.8 4.8 0.5 12.1 8.6 2.5 0.3 17.4 7.5 3.3 0.4 0.4 0.3 0.2 0.259 0.311 0.372 0.683
Mauricio Dubon MIL R SS SS 19 51 47 4.9 0.9 4.9 1.9 11.9 8.5 2.4 0.2 17.2 8.6 2.7 0.3 0.4 0.3 0.9 0.252 0.296 0.364 0.660
Isan Diaz MIA L SS SS 19 51 45 4.6 1.2 4.6 0.8 9.9 6.5 2.0 0.3 15.9 13.6 4.7 0.4 0.4 0.3 0.3 0.219 0.296 0.352 0.648
Monte Harrison MIA R OF OF 19 51 47 4.5 1.3 4.8 1.3 10.1 6.7 1.9 0.2 16.3 16.8 2.8 0.7 0.4 0.3 0.6 0.215 0.268 0.348 0.616
Sam Hilliard COL L OF OF 19 51 47 5.4 1.2 5.5 1.9 11.9 8.2 2.1 0.3 18.3 14.6 3.5 0.3 0.4 0.3 0.9 0.255 0.309 0.392 0.701
Alex Jackson ATL R C C 19 51 46 4.9 1.4 5.3 0.2 9.8 6.0 2.2 0.2 16.8 15.6 3.2 0.7 0.4 0.3 0.1 0.212 0.270 0.361 0.630
Connor Joe SF R 3B 3B 19 51 45 4.7 1.0 4.7 0.4 10.2 6.9 2.1 0.2 15.9 11.8 4.9 0.5 0.4 0.3 0.2 0.228 0.308 0.354 0.663
Troy Stokes Jr MIL R OF OF 19 51 45 5.4 1.6 5.5 1.1 10.1 6.3 2.0 0.3 17.5 13.2 4.3 0.6 0.4 0.3 0.5 0.223 0.297 0.386 0.683
Lane Thomas STL R 2B 2B 19 51 46 5.2 1.4 5.4 1.1 10.8 7.1 2.0 0.4 17.6 13.0 3.5 0.4 0.4 0.3 0.5 0.232 0.289 0.379 0.668
Cole Tucker PIT S SS SS 19 51 46 4.6 0.5 4.3 2.1 11.2 8.3 2.0 0.4 15.4 9.9 3.6 0.4 0.4 0.3 0.9 0.241 0.300 0.333 0.633
Josh Fuentes COL R 1B 1B 19 51 48 5.8 1.3 6.2 0.5 13.8 9.2 2.8 0.5 21.6 10.6 1.9 0.6 0.4 0.3 0.2 0.289 0.322 0.451 0.773
Edward Olivares SD R OF OF 19 51 48 4.5 0.9 4.8 1.1 11.1 7.9 1.9 0.5 16.8 10.0 2.1 0.6 0.4 0.3 0.5 0.234 0.273 0.352 0.625
Arquimedes Gamboa PHI S SS SS 19 51 46 4.2 0.6 4.0 0.5 9.4 6.8 1.8 0.3 13.3 12.7 3.8 0.4 0.4 0.3 0.2 0.203 0.267 0.288 0.555
Keibert Ruiz LAD S C C 19 51 47 5.1 1.2 5.4 0.2 11.9 8.4 2.2 0.1 17.8 6.2 2.7 0.6 0.4 0.3 0.1 0.253 0.300 0.380 0.680
Ty France SD R 1B 1B 19 51 46 5.0 1.3 5.1 0.3 11.0 7.4 2.1 0.2 17.3 9.3 3.2 1.2 0.4 0.3 0.1 0.239 0.304 0.376 0.679
Austin Allen SD L C C 19 51 47 5.1 1.5 5.5 0.2 11.2 7.3 2.3 0.1 18.3 11.1 3.2 0.5 0.4 0.3 0.1 0.240 0.294 0.392 0.685
Yusniel Diaz BAL R OF OF 19 51 45 5.5 1.2 5.2 1.2 11.5 8.0 1.9 0.3 17.7 10.0 4.8 0.3 0.4 0.3 0.7 0.254 0.328 0.392 0.720
Taylor Davis CHC R C C 18 50 45 4.8 0.7 4.7 0.2 11.0 7.9 2.3 0.1 15.7 8.6 3.9 0.3 0.4 0.3 0.1 0.243 0.304 0.346 0.650
Dwight Smith BAL L OF OF 19 50 45 5.2 1.2 5.2 0.9 11.4 7.8 2.3 0.1 17.6 9.4 4.4 0.5 0.4 0.3 0.4 0.256 0.327 0.395 0.722
Eric Stamets CLE R SS SS 19 50 46 4.8 0.9 4.6 0.8 9.3 6.2 2.0 0.2 14.5 13.6 3.1 0.7 0.4 0.3 0.3 0.204 0.263 0.318 0.582
Yu-Cheng Chang CLE R SS SS 19 50 45 5.2 1.3 5.3 0.5 9.8 6.1 2.2 0.2 16.3 14.4 3.6 0.5 0.4 0.3 0.2 0.217 0.280 0.361 0.641
Joey Curletta SEA R OF OF 19 50 44 5.3 1.5 5.3 0.3 9.8 6.2 2.0 0.1 16.5 13.6 4.9 0.3 0.4 0.3 0.1 0.222 0.302 0.374 0.676
Jacob Nottingham MIL R C C 19 50 45 4.8 1.4 5.0 0.5 9.5 6.0 1.9 0.2 16.0 14.9 3.4 0.8 0.4 0.3 0.2 0.211 0.277 0.355 0.632
Jorge Mateo OAK R SS SS 19 50 46 4.8 0.6 4.4 2.1 10.3 7.0 1.9 0.8 15.4 13.6 2.6 0.4 0.4 0.3 0.9 0.221 0.266 0.333 0.599
Javier Guerra SD L SS SS 19 50 46 4.0 1.0 4.3 0.3 8.9 5.8 1.8 0.3 14.3 17.3 2.6 0.3 0.4 0.3 0.1 0.191 0.237 0.308 0.545
Kris Negron SEA R OF OF 18 50 46 4.6 1.0 4.4 0.8 9.4 6.5 1.7 0.3 14.5 15.3 3.1 0.7 0.4 0.3 0.3 0.206 0.265 0.317 0.582
Garrett Stubbs HOU L C C 19 50 45 5.2 0.8 4.7 0.6 10.4 7.3 2.1 0.3 15.4 9.7 4.1 0.5 0.4 0.3 0.2 0.234 0.303 0.344 0.648
Raudy Read WSH R C C 19 50 46 4.9 1.1 5.2 0.3 11.3 7.7 2.3 0.2 17.2 9.9 2.6 0.4 0.4 0.3 0.1 0.243 0.287 0.372 0.659
Yonathan Daza COL R OF OF 18 50 47 5.3 0.6 5.3 1.1 14.1 10.3 2.8 0.4 19.5 7.5 1.9 0.4 0.4 0.3 0.6 0.301 0.331 0.416 0.747
Mitch Walding PHI L 3B 3B 19 50 44 5.3 1.7 5.5 0.2 9.0 5.4 1.6 0.2 16.2 17.8 5.4 0.5 0.4 0.3 0.1 0.206 0.298 0.372 0.670
Braden Bishop SEA R OF OF 19 50 45 4.8 0.7 4.4 0.7 11.1 8.2 2.1 0.1 15.4 9.7 3.5 0.5 0.4 0.3 0.3 0.244 0.304 0.339 0.643
Nick Gordon MIN L SS SS 19 50 46 5.0 0.6 4.6 1.2 11.5 8.4 2.0 0.4 16.2 10.0 2.7 0.5 0.4 0.3 0.5 0.248 0.294 0.351 0.645
Dustin Peterson DET R 3B 3B 19 50 46 5.2 1.2 5.2 0.3 11.3 7.6 2.4 0.1 17.4 11.2 3.4 0.5 0.4 0.3 0.1 0.248 0.304 0.382 0.686
Tim Locastro ARI R 2B 2B 19 50 45 4.7 0.6 4.6 1.6 11.6 8.2 2.4 0.3 16.4 8.7 2.6 1.5 0.4 0.3 0.6 0.255 0.314 0.361 0.675
Sergio Alcantara DET S SS SS 19 50 46 4.4 0.3 3.9 0.8 11.0 8.5 1.9 0.3 14.3 9.3 3.3 0.3 0.4 0.3 0.4 0.240 0.293 0.312 0.605
Thairo Estrada NYY R 2B 2B 19 50 46 4.9 0.7 4.7 0.7 11.3 8.5 1.9 0.2 15.6 8.1 2.5 0.5 0.4 0.3 0.3 0.244 0.287 0.336 0.623
Luis Alexander Basabe CHW S OF OF 19 50 45 4.9 1.1 4.7 1.2 9.7 6.5 1.7 0.4 15.5 14.4 4.1 0.4 0.4 0.3 0.5 0.217 0.287 0.346 0.633
Zack Granite TEX L OF OF 19 50 45 5.1 0.5 4.5 1.7 11.9 9.2 1.9 0.3 15.8 6.3 3.6 0.3 0.4 0.3 0.8 0.261 0.318 0.349 0.667
Luis Arraez MIN L 2B 2B 19 50 46 5.2 0.5 4.8 0.5 13.2 10.0 2.4 0.3 17.5 6.1 2.5 0.4 0.4 0.3 0.2 0.284 0.323 0.377 0.700
Willi Castro DET S SS SS 19 50 47 4.8 0.8 4.7 1.1 11.3 8.1 2.1 0.3 16.4 10.4 2.3 0.4 0.4 0.3 0.5 0.242 0.281 0.352 0.633
Luis Rengifo LAA S SS SS 19 50 45 5.3 0.6 4.8 2.0 11.1 8.0 2.1 0.4 16.1 8.1 3.8 0.5 0.4 0.3 0.9 0.248 0.311 0.357 0.668
Bobby Bradley CLE L 1B 1B 19 50 45 6.1 2.3 6.6 0.2 10.3 5.8 2.0 0.2 19.5 14.4 4.0 0.4 0.4 0.3 0.1 0.229 0.295 0.433 0.728
Michael Chavis BOS R 3B 3B 19 50 46 6.2 2.0 6.7 0.4 11.4 6.8 2.4 0.1 20.1 13.0 3.0 0.6 0.4 0.3 0.2 0.248 0.300 0.440 0.740
Ryan Mountcastle BAL R SS SS 19 50 47 5.2 1.4 5.5 0.3 12.0 8.0 2.4 0.2 19.0 10.2 2.2 0.3 0.4 0.3 0.1 0.256 0.292 0.405 0.697
Daz Cameron DET R OF OF 19 50 45 5.2 0.9 4.9 1.6 10.8 7.3 2.1 0.5 16.8 12.9 3.4 0.5 0.4 0.3 0.7 0.238 0.296 0.369 0.664
Blake Trahan CIN R SS SS 19 50 45 4.2 0.4 3.9 0.7 10.1 7.7 1.9 0.1 13.4 10.6 3.8 0.4 0.4 0.3 0.3 0.225 0.290 0.297 0.587
LaMonte Wade MIN L OF OF 19 50 44 5.7 1.0 5.0 0.7 11.4 8.3 1.8 0.3 16.7 8.2 4.9 0.5 0.4 0.3 0.3 0.259 0.337 0.380 0.718
Seby Zavala CHW R C C 19 50 46 5.1 1.5 5.2 0.3 10.5 7.0 2.0 0.1 17.1 13.6 3.2 0.4 0.4 0.3 0.1 0.230 0.284 0.373 0.657
Drew Ferguson HOU R OF OF 19 50 44 5.5 0.9 4.8 0.9 10.2 7.0 2.0 0.2 15.5 13.1 4.9 0.6 0.4 0.3 0.4 0.234 0.317 0.354 0.671
Dalton Pompey TOR S OF OF 18 49 44 5.2 1.0 4.7 1.3 10.5 7.2 2.2 0.1 16.0 12.7 4.0 0.4 0.4 0.3 0.5 0.240 0.307 0.364 0.671
Spencer Kieboom WSH R C C 19 49 43 4.5 0.8 4.6 0.2 10.4 7.4 2.1 0.1 15.1 9.7 4.4 0.4 0.4 0.4 0.1 0.238 0.311 0.347 0.658
Pedro Severino WSH R C C 19 49 45 4.6 1.1 5.0 0.3 10.6 7.4 1.9 0.1 16.0 10.0 3.2 0.5 0.4 0.3 0.1 0.237 0.293 0.359 0.653
Reese McGuire TOR L C C 19 49 44 5.0 1.1 4.7 0.6 10.1 6.9 1.9 0.2 15.6 10.3 3.7 0.5 0.4 0.4 0.2 0.229 0.293 0.354 0.647
Adrian Sanchez WSH R 2B 2B/3B 19 49 46 4.4 0.5 4.6 1.0 11.3 8.3 2.3 0.2 15.7 9.0 2.2 0.4 0.4 0.3 0.5 0.248 0.286 0.343 0.629
Luis Torrens SD R C C 19 49 45 3.9 0.6 4.1 0.2 10.2 7.3 2.1 0.2 14.5 8.7 2.6 0.5 0.4 0.3 0.1 0.226 0.272 0.320 0.592
Josh Naylor SD L 1B 1B 19 49 44 5.0 1.3 5.1 0.5 11.2 7.7 2.1 0.1 17.3 7.7 3.9 0.4 0.4 0.3 0.2 0.255 0.319 0.395 0.714
Andrew Stevenson WSH L OF OF 19 49 45 4.7 0.7 4.6 1.4 11.1 8.3 1.9 0.2 15.5 11.6 3.4 0.4 0.4 0.3 0.5 0.249 0.304 0.346 0.650
Andres Gimenez NYM L SS SS 17 49 45 4.3 0.6 4.2 1.8 10.5 7.4 2.2 0.3 15.2 10.2 2.5 0.7 0.4 0.3 0.8 0.234 0.284 0.337 0.621
Kaleb Cowart LAA S 3B 2B/3B 18 48 44 4.8 0.9 4.7 1.0 9.8 6.5 2.2 0.2 15.2 12.3 3.5 0.3 0.4 0.3 0.4 0.225 0.285 0.349 0.634
Michael Reed MIN R OF OF 18 48 41 5.6 1.2 5.0 0.8 10.4 6.9 2.2 0.1 16.2 13.4 5.6 0.4 0.4 0.4 0.3 0.251 0.343 0.392 0.734
Dylan Cozens PHI L OF OF 18 48 42 5.6 2.3 6.3 1.0 8.8 4.6 1.6 0.2 17.8 18.1 4.9 0.3 0.4 0.3 0.4 0.208 0.292 0.421 0.713
Mark Zagunis CHC R OF OF 18 48 41 5.0 1.0 4.6 0.6 9.2 6.2 1.9 0.1 14.3 12.7 5.9 0.5 0.4 0.3 0.2 0.226 0.329 0.351 0.681
Yordan Alvarez HOU L 1B 1B 17 47 42 5.7 1.8 5.9 0.6 10.3 6.5 2.0 0.1 17.9 12.3 3.9 0.3 0.4 0.3 0.2 0.246 0.312 0.424 0.737
Skye Bolt OAK S OF OF 16 44 40 4.5 0.9 4.2 0.9 8.6 5.6 1.8 0.3 13.8 11.1 3.3 0.3 0.3 0.3 0.4 0.217 0.281 0.347 0.628
Luis Barrera OAK L OF OF 16 44 41 4.5 0.5 4.1 1.2 10.1 7.2 1.8 0.6 14.7 8.1 2.4 0.4 0.3 0.3 0.5 0.249 0.295 0.362 0.657
Micker Adolfo CHW R OF OF 16 44 40 4.0 1.1 4.1 0.3 8.2 5.6 1.4 0.1 13.1 14.5 2.6 0.5 0.3 0.3 0.1 0.203 0.257 0.326 0.583
Sean Murphy OAK R C C 16 43 39 4.6 1.0 4.5 0.3 9.3 6.0 2.1 0.2 14.7 7.9 2.9 0.5 0.3 0.3 0.1 0.238 0.296 0.377 0.673
Gordon Beckham DET R 2B 2B/3B 15 40 36 4.2 0.8 3.9 0.4 8.7 5.9 2.0 0.1 13.2 6.8 3.2 0.4 0.3 0.3 0.2 0.244 0.311 0.369 0.679
Matt Reynolds WSH R 3B 3B 15 39 35 3.7 0.5 3.6 0.4 8.6 6.1 1.9 0.2 12.2 9.9 3.1 0.3 0.3 0.3 0.1 0.246 0.311 0.349 0.660
Beau Taylor OAK L C C 15 39 34 3.7 0.4 3.1 0.2 7.3 5.1 1.5 0.2 10.5 10.4 4.0 0.3 0.3 0.3 0.1 0.212 0.299 0.308 0.607
Adam Rosales FA R 1B 1B 15 39 35 3.8 1.1 4.2 0.4 7.8 4.9 1.7 0.1 13.0 10.9 2.6 0.4 0.3 0.3 0.2 0.220 0.278 0.367 0.645
Brad Miller MIL L 1B/2B 1B/2B/SS 15 38 33 4.2 1.3 4.4 0.3 7.5 4.4 1.7 0.2 13.3 10.5 3.8 0.3 0.3 0.2 0.1 0.223 0.306 0.397 0.703
Cheslor Cuthbert KC R 3B 1B/3B 14 36 33 3.9 1.0 4.0 0.2 8.3 5.4 1.7 0.1 13.4 7.6 2.7 0.2 0.3 0.2 0.1 0.256 0.315 0.411 0.725
Drew Butera FA R C C/1B 13 34 31 3.2 0.8 3.4 0.2 6.7 4.5 1.4 0.1 10.6 8.4 2.4 0.3 0.3 0.2 0.1 0.219 0.280 0.344 0.623
Chris Stewart SD R C C 13 34 31 2.7 0.3 2.7 0.2 7.0 5.3 1.2 0.2 9.5 5.7 2.4 0.4 0.3 0.2 0.1 0.228 0.289 0.311 0.600
Isaac Galloway MIA R OF OF 13 34 31 3.0 0.7 3.1 1.1 7.0 4.8 1.4 0.1 10.8 9.0 2.0 0.3 0.3 0.2 0.4 0.225 0.276 0.347 0.623
Cavan Biggio TOR L 2B 2B 13 34 29 3.9 1.0 3.7 0.8 6.7 4.1 1.3 0.2 11.5 9.3 3.9 0.3 0.3 0.2 0.3 0.227 0.321 0.393 0.713
Ke’Bryan Hayes PIT R 3B 3B 11 30 27 2.9 0.4 2.8 0.6 7.0 5.0 1.4 0.2 10.0 5.6 2.3 0.2 0.2 0.2 0.3 0.258 0.318 0.370 0.688
Rajai Davis NYM R OF OF 9 25 23 2.4 0.4 2.1 1.6 5.1 3.6 1.0 0.1 7.5 6.1 1.6 0.3 0.2 0.2 0.5 0.223 0.278 0.327 0.604
Jose Lobaton SEA S C C 9 24 21 2.3 0.6 2.4 0.1 4.6 3.1 0.8 0.1 7.4 6.0 2.2 0.2 0.2 0.2 0.1 0.218 0.294 0.349 0.643
Andy Young ARI R 2B 2B 8 21 19 2.2 0.6 2.3 0.1 4.9 3.3 0.8 0.2 7.8 4.6 1.1 0.4 0.2 0.1 0.1 0.254 0.308 0.409 0.717
Matt Thaiss LAA L 1B 1B 7 16 15 1.7 0.4 1.7 0.2 3.6 2.4 0.7 0.1 5.6 3.2 1.1 0.1 0.1 0.1 0.1 0.246 0.304 0.384 0.688
Gift Ngoepe PHI R SS 2B/SS 6 15 13 1.2 0.2 1.2 0.2 2.3 1.5 0.5 0.1 3.6 6.1 1.3 0.1 0.1 0.1 0.1 0.172 0.250 0.268 0.519
Corban Joseph OAK L 2B 2B 6 15 14 1.5 0.3 1.4 0.2 3.4 2.4 0.7 0.0 5.0 1.9 1.0 0.1 0.1 0.1 0.1 0.249 0.302 0.366 0.668
Zack Collins CHW L C C 3 6 5 0.6 0.2 0.6 0.0 1.0 0.6 0.2 0.0 1.8 1.8 0.8 0.0 0.0 0.0 0.0 0.204 0.316 0.359 0.675
Nick Solak TB R 2B 2B 3 6 5 0.6 0.1 0.6 0.1 1.3 0.9 0.2 0.0 2.0 1.3 0.5 0.1 0.0 0.0 0.0 0.250 0.320 0.381 0.702
Jason Vosler SD L 3B 3B 1 4 4 0.4 0.1 0.4 0.0 0.8 0.5 0.2 0.0 1.3 1.1 0.3 0.0 0.0 0.0 0.0 0.217 0.283 0.373 0.656
Bryan Reynolds PIT S OF OF 1 4 4 0.4 0.1 0.4 0.0 1.0 0.7 0.2 0.0 1.4 0.8 0.3 0.0 0.0 0.0 0.0 0.264 0.320 0.377 0.696
Salvador Perez KC R C C 0 0 0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0

NOTES:

Steamer Projections – Created in 2008 and maintained and operated by Jared Cross, Dash Davidson, and Peter Rosenbloom. It is widely considered to be one of the best MLB projection systems. We adjust their projections based on our playing time estimates as well as expected split in plate appearances against RHP vs. LHP. The latter adjustment – based on multi-year research into player usage – will change the rate stats (e.g., AVG, OBP, SLG) from those found on other sites like FanGraphs – e.g., if my formula thinks Adam Lind will face a higher percentage of RHP vs LHP than had been projected, our rate projections will be higher (and vice versa).

Position Eligibility – 20 Games in last season for ESPN and ‘2 Catcher’ formats.   5 Games for Yahoo.

Filtering Results:  You can filter multiple fields at the same time.  The text fields below the column headers enable several methods for filtering the data.  Here are some examples:

Function Symbol Example Explanation
ANY MATCH ‘NY’ in Team field This would filter the results to only players on the New York Yankees (NYA) and New York Mets (NYN)
OR | Mike Trout|Miguel Cabrera in ‘Name’ This would display the stats only for Mike Trout and Miguel Cabrera.
NOT ! !B in ESPN/Yahoo This would remove all 1B, 2B, and 3b.
NOR ! | !Mike Trout|Miguel Cabrera in ‘Name’ This would display the stats for all hitters EXCEPT Mike Trout and Miguel Cabrera
GREATER THAN > >10 in $ This would only display rows for hitters whose projected $ is greater than 10.
LESS THAN < <10 in $ This would only display rows for hitters whose projected $ is less than 10.
GREATER THAN OR EQUAL TO >= >=10 in $ This would only display rows for hitters whose projected $ is greater than or equal to 10.
LESS THAN OR EQUAL TO <= <=10 in $ This would only display rows for hitters whose projected $ is less than or equal to 10.

  1. Ryan says:
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    How do I get the 2015 projections into Excel?

    Reply

    • KG says:
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      @Ryan: Copy and paste the projections into Notepad and then copy and paste from Notepad into Excel. You’ll have to manually populate the headers but it works that way. That said it would be nice to be able to just download a CSV file.

      Reply

  2. Ryan says:
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    Mozilla was the issue. Switched to Explorer and had no issue.

    Reply

  3. David says:
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    There are a lot of players missing. Ibanez, Furcal, Quintero, Chavez, Punto, Overbay, Buck, Johnson, Ellis, Ludwick, Laird, Nieves, Santiago, Doumit, Fancoeur, Gutierrez, Kelly, Bourgeois, Hairston, Murphy, Blanco, and dozens upon dozens more. The Steamer projections at FanGraphs has these projections – what gives?

    Reply

    • I will do a check tonight to see what signed players I am missing

      Reply

      • Added a bunch of hitters/pitchers last night. The big misses now are Tomas (no steamer projection yet) and Refsnyder (I don’t have an ID for him and not worth the trouble)

        Reply

        • mrrr says:
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          @Rudy Gamble: Hey Rudy. Any chance you could include the Steamer playerid in the results for those of us cutting & pasting?

          Reply

            • mrrr says:
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              @Rudy Gamble: Thanks Rudy. I have the IDs, I just prefer matching on the ID than the name since merging in projections from different places. I’m comparing yours to Podhorzer re: your Fangraphs discussion. I’ve also been fiddling around with the different category ranking / scoring methods.

              Reply

              • cool. i can tell you this – I’m pretty confident that FanGraphs and Razzball use the same primary data source which means name matches should be 100% (no Chris/Christopher issues).

                Reply

                • mrrr says:
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                  @Rudy Gamble: That’s my working assumption. The only mild aggrevation so far is that there are evidently 2 VMarts and 2 Cargos in the baseball universe across Steamer, Pod, and PECOTA. My slightly modified SGP approach has my values within $1-2 of your hitter values (for the most part) from the 15 ESPN/NFBC page, with the differences definitely smaller than when applying other projections. I agree with your earlier statement (can’t remember where) that tweaking the player valuation further isn’t going to gain me any magical insight. I am curious though, if you try to balance the relative SGP contributions across categories.

                  Reply

                  • My $ across categories is balanced for my rostered universe. I have heard this is an issue with other SGP methodologies but it isn’t with mine. Maybe b/c I use average vs replacement level?

                    Reply

                    • mrrr says:
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                      @Rudy Gamble: I’m currently using replacement level and do have an imbalance across categories, but am building it into my code to adjust categories if desired. I’m still not convinced you need to balance $ across categories, though. It seems to weight batting average more than it should based on how much each player can ‘move the needle’ in that category over a replacement or average player. I need to implement your average vs replacement and see how that changes things. I also tried a z-score approach but didn’t love/agree with the results.

  4. JR says:
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    Hey Rudy, any way you could implement a H2H calculator for customized points leagues using the Steamer/Razzball projections? Thanks!

    Reply

    • BaseballPress has one and they used these projections last year. Will ping them to see if they can get it set up for 2015.

      Reply

  5. Pete says:
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    Wasn’t sure where to post this, but Yahoo doesn’t list Ryan Zimmerman as eligible for 1B nor Josh Harrison at SS.

    Reply

    • Pete says:
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      @Pete: I also came across the following players who are NOT eligible under Yahoo in the listed positions.

      Yangervis Solarte – SS, OF
      Gordon Beckham – SS
      DJ LeMahieu – 3B
      Emilio Bonifacio – 3B
      Freddy Galvis – 2B
      Maikel Franco – 1B

      Reply

  6. Jarrod says:
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    What is the difference between streamer projections on Fangraphs and on Razzball?

    Reply

    • I do my own playing time estimates and an adjustment on hitter LHP vs RHP PAs which adjust rate stats. Check out Fangraphs Community test by Will Larson showing ours did better in 2014

      Reply

      • Jarrod says:
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        Thank you

        Reply

  7. Ryan says:
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    Thank you for these projections. How often are they updated for injuries/playing time, etc?

    Reply

    • You are welcome. Updated daily based on breaking news

      Reply

  8. Snarky Anklebiter says:
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    Rudy, maybe I just missed it somewhere, but what are your parameters for the yahoo rosters? 10 hitters vs 13? Games started vs an innings limit? Or is it the same as ESPN with the exception of position eligibility? Thanks.

    Reply

    • @Snarky Anklebiter: Yahoo defaults to 10 H / 8 P – C/1B/2B/SS/3B/OF/OF/OF/UTIL/UTIL WITH 1 SP, 1 RP, and 6 P (i think). It is IP capped vs GS but don’t recall the default – 1400 IP maybe? I’ve found that ESPN and Yahoo pitching stats end up about the same – the only difference may be that serious ESPN leagues will leverage middle relievers more to bypass the GS cap. The position eligibilty for Yahoo is more liberal – just 5 games started the previous season vs 20 games for everyone else. I think in-season eligibility is about the same.

      Reply

  9. Fish says:
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    Yay! I don’t know why, but I love the stat projection release. This might be a long-shot, but do you happen to have an Excel Macro set-up/designed that can download the Steamer projections from the Razzball site. Heck, I guess it could even be a Macro to download that data from a different site, but I like to “keep it in the family.”

    Reply

  10. Titan says:
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    I noticed no Byung-ho Park or Hyun-soo Kim in the steamer $ projections…seems a bit racist ;-)

    Seriously though, just curious if they will get added.

    Reply

    • @Titan: Waiting on Steamer to run them. The foreign translations are always the toughest/most manual. Should be sooner vs. later.

      Reply

      • @Rudy Gamble: I stand corrected. Steamer added them real recently – maybe last night? Re-running now. Should be in there by the time you read this.

        Reply

  11. titan says:
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    Thanks Rudy….great job as always!

    Reply

  12. Ryan says:
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    Is Dexter Fowler missing?

    Reply

    • good catch. got deleted somehow. should be in there now.

      Reply

  13. Snarky Anklebiter says:
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    I’m only seeing Austin Jackson right now. I hope it’s you, not me.

    Reply

    • Thanks for the heads-up. Tried to just replace Austin Jackson’s projections (to factor in move to Chicago) and ended up deleting everyone (instead of the pre-Chicago Austin Jackson stats). All fixed now.

      Reply

  14. Anthony says:
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    ……..you can’t seriously predict andrelton Simmons to have a higher batting avg than tulo?? Tell me hes an injury risk or something but don’t sell me that he’ll have a worse batting avg…….. Should I waste my time reading anything else on this list? What’s tulo career batting avg again? Tulo can outhit Simmons even batting lefty and injured… and Simmons is given a tennis racket. This is why I win leagues I guess I shouldn’t be mad lol

    Reply

    • FYI: 1) Tulo K’s 20% of time while Andrelton K’s 8%, 2) Tulo no longer plays half his games in Coors ‘holy frigin BABIP inflator’ Field, and 3) Simmons has had very low BABIPs. So I do think their AVGs are going to be a lot closer than their careers would suggest. I would take Tulo straight-up for AVG but not by much.

      Reply

      • Anthony says:
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        @Rudy Gamble:

        Hit avg predictions, then look at some of the suspect names to beat paul Goldschmidt in avg. This list has Jose Reyes returning to baseball with a better avg. Dinosaurs like pedroia and beltre sustaining a higher production than goldys prime.

        And last time I checked tulo didn’t go to a bad place to hit in Toronto especially with that lineup protection. He should see plenty of good pitches with men in scoring position and they have to throw strikes rather than walk him

        Just saying

        Reply

        • I’m glad you found our site but I don’t understand why you’re coming at me/us with such negativity.

          Goldschmidt is one of the more interesting AVG cases. He’s had high averages despite high K-rates as he crushes the ball. Still, his BABIP (batting averages on balls in play) has a high probability of declining because it’s been so high the past two years. That is the reason almost all projection services are projecting him to hit about .290 vs over .300.

          I do not think you understand the MASSIVE impact of playing at Coors. It turns a .260 hitter into a .280 hitter and vice versa. Toronto is above average for HRs but is neutral on hitting. So just as Tulowitzki’s AVG is projected for a big decline b/c he left Coors, the opposite is true for Reyes. No idea if he ever gets an AB this year (or the mental/physical impact of missing that time and living w/ his alleged crime) but, even this version of Reyes, is a near .300 hitter if he gets 1/2 his games at Coors.

          If you need a shining example, look no further than 2015 Nick Hundley (https://razzball.com/player/3376/Nick+Hundley/#seasonstatsmlbonly). I drafted him on just about every team because of the ‘Coors’ effect on offense.

          Reply
  15. Simply Fred

    simply fred says:
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    confused. Fangraphs has steamer projecting rajai davis with 492 AB. these projections have him at 351 AB. Thought these projections were steamer’s. did they recently update?

    Reply
      • Simply Fred

        simply fred says:
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        @Rudy Gamble: That explains it…and I am buying your PT projections!

        Reply
  16. Simply Fred

    simply fred says:
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    yikes, Anthony (last post from last year) shockingly quiet this year… :=)

    Reply

  17. Ryan says:
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    As always, thank you for these projections!

    Reply

  18. Laker42 says:
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    Trying to get the best NL projections for excel.

    ON the above NL 10 or 12.

    What are you using for the stats? Is it updated with the steamer or grey?

    Reply

    • @Laker42: All of the Player Rater projections (including NL 10/12) are based on Steamer Projections and updated daily.

      Reply

  19. Andrew says:
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    Would it be possible to put a $ value in the projections table?

    Reply

  20. hankp says:
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    FYI – The yahoo position for Schwarber is listed as OF only, but they have him at C as well.

    Reply
    • Rudy Gamble

      Rudy Gamble says:
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      @hankp: thx. Will address tomorrow!

      Reply

  21. Big Al says:
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    Rudy,
    12 team, all AL plus NL East league. We protect 4 and am looking for some late round players that won’t make the rosters to start but
    will be impact players to protect for 2018. Can you give me your suggestions?
    Thnx

    Reply

  22. 12 team, AL plus NL east….we protect 4…..Can you suggest players to draft at the end that will not make the initial rosters but will be impact players
    for 2018 that I can protect

    Reply

  23. I would like your suggestions about late-round choices that prpbably won’t contribute much, if any, this year but would be awesome protectibles
    for 2018 ie. eloy Jimenez, albert Almora, Raul Mondesi, Gleber Torres etc.

    Reply

  24. hegotsgame says:
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    Interested in why Tommy Joseph is projected by 463 ABs. I see a similar number (very slightly higher) over at his fangraphs page’s steamer projection. It seems like a lot of projected value comes down to PAs/ABs. Do you see him having upside for more plate appearances this year? What round are you targeting him in OPS leagues? Thanks!

    Reply

    • @hegotsgame: I’ve got him starting 75% of Phillie games this year. There is definite upside but I can’t discount the fact that – given his track record – there is a greater chance of him being benched either as a quasi-platoon (LH bat plays occasionally vs RHP), full platton or they just send him down to AAA (i’m sure he has options). His upside value can be seen in the Pre-Season Player Raters if you focus on the $/G column which is his $/Game Started.

      Reply

      • hegotsgame says:
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        @Rudy Gamble: Thanks for the reply! Makes total sense. For players with low ADPs (Tommy Joseph’s in Yahoo is 253) and high $/GS, it feels like one can reach a little bit in hopes of PA upside.

        Reply

  25. McKracken says:
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    Hey Rudy love what you do but how do I have Batters with OPS and Pitchers with QS at the same time?

    Reply

    • You can combine the Pre-Season Player Rater results for 6×6 OPS with 6×6 QS.

      Reply

  26. Me says:
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    Kyeong Kang?

    Reply

  27. Rich Sexton says:
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    Randy, great site – thanks! I’m new to Razzball, will u do separate projections from Steamer? I got Steamer’s off FanGraph and was hoping to use your’s too

    Reply

    • @Rich Sexton: Thanks. These Steamer projections are not the same as FanGraphs. I do my own playing time projections + have my own R/RBI calculation + make adjustments on just about every stat. It is based on the same underlying Steamer projections though. Grey will also have his top 500 projections out in the next 2 weeks.

      Reply

  28. Curious George says:
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    Can someone explain to me how if projections for miggy are so optimistic (fangraphs being more so than Rudy) we haven’t seen a single sleeper post for him? Especially given the current state of first base?

    Reply

    • Projecting players who are post-prime (say 32+) is difficult. There are two risks IMO:
      1) Injuries lead to reduced playing time – I account for that objectively with an estimated DL % formula (informed by age and recent history) and a subjective estimated starting % where I’ll remove some percentage points if I think a player is more likely to get rest days or smaller injuries. This should account for any additional risk based on missing playing time.

      2) Injuries and/or diminished athleticism lead to a bigger drop in performance (which could also lead to less playing time) – This is only somewhat accounted for in Steamer because it has an aging curve and is weighting recent performance more than past years. But some players drop faster than average b/c of the aforementioned issues and it sure feels like Miggy is a candidate. 2017 was just such a dropoff and his 2019 projections are probably helped by such a small sample size in 2018.

      So I’d argue FanGraphs (as of today) has underestimated risk #1 and that both our Steamer-based projections can’t fully account for #2. I think perhaps Spring Training xStats (like exit velocity) could be very useful to determine if Miggy has some comeback in him.

      Reply

  29. Zach says:
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    How would you convert the 12 team $ values to 16 teams?

    Reply

  30. tbill87 says:
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    I’ve used Grey’s projections for the past couple of years, but never really paid attention to the steamer projections. When looking at the list above, is this strictly projections or does it signify a ‘value’ order? Benintendi at 1, Springer at 4?

    Reply

  31. LenFuego says:
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    Rudy, your hitter rankings include a total of 611 batters this year, while the Steamer projections on FanGraphs include 4115 batters, and there is a similar culling down for pitchers. What method/algorithm do you use to cull the Steamer lists down for your lists?

    Reply

    • @LenFuego: I only include hitters whom I project playing time. I think the FG version gives a bazillion batters 1 PA and pitchers 1 IP. I just compared the two and found only 4 hitters with more than 1+ PA projected by FG – Brad Miller, Preston Tucker, Hanley Ramirez, and Ichiro. All are below 100 PA. Adding them in now.

      Reply

  32. LenFuego says:
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    @Rudy Gamble: OK, great, thanks for the info. I am using your projections as the basis for doing my own player auction values for the mildly peculiar rules of my deep league. I used the FanGraphs Steamer projections last year, but I prefer your playing time projections so will use your projections this year, and I was just trying to figure out if I needed to add anyone else from FanGraphs’ data set. Sounds like other than perhaps some prospects who are not expected to get the call-up this season (who I incorporate separately anyway), I am all set.

    Reply

    • @LenFuego: cool. fyi, the prospectonator links in the menu at the top of the page (Prospect Hit|Pitch) have full season projections for 1000 hitters and pitchers ranked by fantasy value.

      Reply

  33. Mike says:
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    Hey Rudy!
    Thanks for all the great info! Got a question, how would you go at adapting auction prices to account for keepers? Would you change the values at all? I play a 10TM with 3 keepers and Yahoo rosters

    Reply

    • let’s say you have 230 drafted players (23*10) and $2600 total ($260 * 10).

      you sum up the keeper $ and their projected $. that is the ‘savings’. let’s say it is $100.

      in this case, theere are 200 non-keeper drafted players who are now worth $100 more. so you can either add $.50 to each player or, a better method, is multiply each by (sum of their $ + $100) / (sum of their $). so if their projected value was $2200, you are multiplying each player by 23/22 to scale them up.

      hope that helps…
      rudy

      Reply

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