Fantasy Baseball Advice

Question:
I’m wondering why there’s such a huge gap between BaseballHQ’s value for Dunn and yours. HQ has him 72nd and your player rater has him 22nd for batters in mixed 12 team regular 5×5. HQ assigns $ values but I think it’s effectively the same thing. PECOTA likes Dunn so i assume the difference lies in the valuation method. Do you know what theirs is? I’m tempted to lean toward your method because i understand it and it mostly makes sense to me, but i just want to make sure that you fully endorse that ranking. right now i have him between Pence and Manny.

Also, do you have the replacement level averages you used for the point shares handy?

Rudy’s Response:
Regarding Dunn, here are the baseline projections for us and Baseball HQ:

Razzball: 513 AB / 100 R / 38 HR / 100 RBI / 7 SB / .256
Baseball HQ: 553 AB / 105 R / 41 HR / 104 RBI / 7 SB / .251

Can’t say that I’m familiar w/ Baseball HQ’s Player Rater (have the book and access to online projections) but I’m looking in the book and Dunn is drafted 62nd overall in their 15 team mixed league snake draft and tied for about 52nd place overall in projected dollar value at $24. Our Point Shares project him at #40. Blogmate Grey ranks Dunn at #33 in his top 100.

I think if you took Baseball HQ’s ranks and put them next to ours, you would find more dramatic differences than this. I see them having Pierre in the top 30 where he barely cracks our top 100 b/c we dock him for his crap HR/RBI (on a side note, I ended up with Dunn and Pierre in my expert league).

Here is one thought for the differences and a reason that compelled me to do Point Shares. Sites like Baseball HQ and BP tend to be snobs on fantasy league structures. They prefer single league auctions or - in the case of Baseball HQ’s simulated snake draft - a 15 team league (which I’ve never seen). I think the majority of players are in 10 or 12 team mixed leagues so the rankings have to be filtered through the scarcity/needs of that universe.

I think 10-12 team mixed leagues aren’t as starved for speed and middle infielders as the leagues that a Baseball HQ projects for. Pierre went in the 9th round of my 12 team expert league and no one was patting me on the back for great value (including myself).

Let’s dig into Dunn a bit more. While no one loves Dunn, look at where his projections rank him in his position:
1) Projected at #1 for OF HR (38)
2) Projected at #3 for OF Runs (100)
3) Projected at #4 for OF RBI (100)

Compared to the other power positions (1B/3B), the average OF has lesser power numbers: 78/20/77 vs. 1B’s 85/28/95 and 3B’s 85/25/90. So our point shares system likes Dunn a lot for those three categories. It would value him less if he was a 1B/3B, more if he played 2B/SS/C.

Now if he hit .300, I think he’d go in the 2nd round. He’s projected to hit in the .250 - .260 range. Not good since we’ve got the average 12 team BA at .282. His walks help because he’s slated only for 500-550 AB vs. 600-650 AB. The Point Shares takes all this into account and basically says that his crappy average neutralizes his Runs or RBI advantage (BA is -1.5, RBI is +1.5). So an OF hitting .260 with 100 RBIs and an OF hitting .282 with 77 RBIs are worth the same points on an average team (note: for comparison’s sake, universally loved OFs like Granderson and Sizemore are set to hit about 77 RBIs and only hit .275. their RBI + AVG point shares equal 0 and -0.4 respectively)

So Dunn’s remaining two category advantage and not awful 7 SBs still give him overall positive value. I’d take the Point Shares rank at face value and say he’s worthy of a 4th round pick in a 10 team or 12 team league - particularly if a team drafted speed or a pitcher in the first three and needs to compensate on power. His batting average is a drag but it’s an overrated drag. Yes, a switch to Ichiro would give you an estimated swing of 3.6 points in AVG but you’d also lose 3 points in RBI and 4.2 points in HR (surprisingly, SBs don’t make up this dramatic difference…hence, Ichiro barely makes the top 100 in player rater and is our consensus worst 2nd round pick).

Not sure if this fully answered your question but hope it shed more light on why Dunn does well on Point Shares and why he might end up on more than one of my teams.

Regarding replacement value, I decided to stop using them with our 2008 Player Rater and stick to position averages (making average player stat = 0 vs. replacement player stat = 0). My reasoning is that replacement player stats regress to a similar mean, exacerbated by disproportionate slotting of 1B/3B/OF in the UTIL slot. So the replacement player at every position looks about the same. I think this is misleading as a 1B/3B/OF with that average stat line hurts your team vs. competition more than a 2B/SS/C. By using average, it gives you a better indication that Figgins KILLS a team at 3B (think of the HR/RBI difference vs. teams w/ A-Rod, Wright, Braun, Cabrera, A-Ram, and Atkins) but is pretty valuable as a 2B.

But here is an article from Razzball friend and occasional contributor Lou Poulas with 2008 replacement value stats at each position.

We’ve got 8 of 10 slots filled in for our inaugural Fantasy Razzball league – where the basic objective is to compile the worst roster of MLB players. That’s right – the worst team.

The blogs set to participate are:
Razzball.com (Rudy Gamble)
Razzball.com (Grey Albright)
RotoProfessor.com
Greener on the Other Side
Mop Up Duty
Herb Urban
Cards in the Attic
Lou Poulas (Fantasy Insider Online, Sweet Lou’s Baseball Lab, Razzball.com)

We need two more participants so if you’re interested in joining, please e-mail us at info@razzball.com. Draft day is scheduled for Saturday, March 22nd at 4PM EST.

Check out these links for the rules and a review of the least valuable – or as we like to say the most invaluable - players in 2007.

The biggest thrill and challenge is the absence of established strategies and expert rankings. A-Rod is almost a universal #1 in standard games – who will be #1 in our “Nick Punto is Ford Tough” Razzball league? I have no idea though I would’ve guessed league poster child Nick Punto if he was assured of playing time.

To create somewhat of a level playing field, I’ve created a 2008 Fantasy Razzball Player Rater based on Baseball Prospectus and Baseball HQ projections. I adopted our Point Shares methodology that we used for projected rankings of standard fantasy baseball. I used Baseball Prospectus’s depth chart to make sure only projected starters or key backups were included in the rankings for position players and starting pitchers.

This Player Rater should help all the participants set up their draft rankings and, for those of you not playing, should prove to be somewhat amusing….

Like a Scotch drinker, I’ve found my taste for baseball projections has matured over the years.  Where my initial taste was weaned on Dewar’s-quality projections like ESPN, Yahoo!, or some $4.95 magazine off the newsstand, I now hold out for premium, single-malt varieties like PECOTA/Baseball Prospectus and Ron Shandler.  I recommend buying both of their projections online as you can get their projections in spreadsheet form.

While peers suggest I try other high-quality (and free) projections like CHONE, ZiPs, etc., I’ve put projection experimenting on hold to tackle a greater quest – one that could benefit our site’s loyal readers and the fortunate souls who get redirected here by a search engine.

The challenge is answering the question “How do you convert player projections into rankings?”  As once you’ve settled on your projections, there are several key pre-draft considerations that need to take place to ensure success:

1. Value of Player Based on Position Depth – e.g, how much does a player’s value increase/decrease based on the other available options for that position?
2. Value of Players in Different Positions – e.g., how much do you sacrifice on a player’s total stats because they play 2B vs. 1B
3. Value of a Player’s Stat Mix – e.g., how do you compare the value of 40/120/10 (HR/RBI/SB) vs. 15/75/40?
4. Value of Hitter vs Pitcher Stats – e.g., how do you compare A-Rod vs. Santana?
5. Value of a Player By You vs. Others – e.g., how long can you wait before picking a player?

(Note:  Risk and health are other key considerations but they ideally should be factored into the projections – i.e., Rich Harden shouldn’t be projected at 200 IP)

While a solution for the above factors appears complex, the concept behind how to do it is rather simple:  Convert all the statistics to the same metric (think money – it’s real easy to compare 10 dollars vs 15 Euro vs. 2000 Yen if you convert the Euro and Yen to dollars).  This is the underlying concept behind Bill James’ Win Shares.

So what metric makes the most sense for fantasy baseball?  Where real baseball success is measured in Wins, fantasy baseball success is measured in points.

Hence, “Point Shares”

Please click for our inaugural edition of Fantasy Baseball Point Shares for 2008.  I’m going to refrain from a drawn-out explanation of the methodology.  The important parts to understand are:

1. Point shares represent the estimated impact on a team’s points by substituting a player for the average drafted player at his position on a team filled with average players.  So in a 10 team league, this team would otherwise earn 5.5 points per category (55 points).  Substituting one of those average pitchers (approx. Ian Snell) for Johan Santana would net an approximated gain of 7.8 points to 62.8.
2. To account for a hitter’s value outside their position (The utility spot, the fact that a SS HR is worth the same as an OF HR), hitters receive 2/3 of points value based on their stats vs. the average drafted player in their position and 1/3 of points value based on the average drafted hitter.
3. Since pitching positions can be filled with starters or relievers, player value was adjusted.  Starting pitcher values are 75% based on average drafted starting pitcher, 25% on average drafted pitcher.  Relievers are 40% on average drafted reliever, 60% on average drafted pitcher.
4. Hitters are placed at their most valuable position where they are 20 games eligible.  Their rank/value at other positions they are eligible (down through expected eligibility like Ryan Braun in OF) is listed lower down in the spreadsheet.
5. Two versions are included:  a 10 team, 5×5, MLB universe, C/1B/2B/SS/3B/CI/MI/5 OF/Util/9P and a 12 team, 5×5, MLB Universe with 2C/1B/2B/SS/3B/CI/MI/5 OF/Util/9P.

As with any player ratings system – especially one this ambitious – the standard question would be “How do you test this?”.  The beauty of this methodology is it was relatively easy to test.  I took 7 drafts off of Mock Draft Central and calculated the rankings based on the underlying projections (weighted model of PECOTA and Shandler) and the Point Shares.

After making a few adjustments, the results of the test were very promising – Point Shares predicted total team points within +/- 2 point for 45 of the 70 teams.  Another 18 were predicted within +/- 5 points.  Only 1 team fell outside of +/- 7 points.

On a category-by-category basis, the Point Shares correlate well with the total team stats.  For the hitting stats, the team Point Shares correlated at 97+% with the total stats.  For pitchers, Saves, ERA, and WHIP correlated at 90+% while Wins and Strikeouts were at 90% aside from one league where the projections tanked.  Why did the pitching stats not do as well as the hitting stats?  It is because of the random mix of starters and relievers who – unlike hitters – have vastly different counting stats.   ERA and WHIP proved most successful because they could be weighted by innings pitched.

Look out for future posts referencing these Point Shares and probably make some tweaks along the way – especially if we get revised player projections.

We also want to state clearly that this is NOT a recommended draft ordering.  The main reason is that it doesn’t factor in the 5th pre-draft consideration mentioned earlier – the “Value of a Player By You vs. Others”.  Yes, I believe Peavy is worthy of a top 5 pick but if you can get him in the 2nd round or possibly the 3rd round, by all means wait.  Average Draft Position stats are the one piece of valuable information you can get from Yahoo!, ESPN, etc.  If you’re playing in an advanced league, you may want to use those on Mock Draft Central (requires subscription).

Also note that some of the differences aren’t statistically relevant.  If you like Jose Reyes at 3.65 over Ryan Howard at 3.72, go with your gut b/c it’s a virtual pick’em anyway.

So use this as your rankings base then make adjustments based on your preferences and your feel for your fellow drafters.  And good luck…