By Chas
I’m a stats nerd. I admit it. Despite this, I’ve tried to control my desire to bring SABRmetric analysis into our discussions on The Pine. Smitty and I were throwing Win Shares around when advocating for candidates in our Mt. Otsego series a while back, but I don’t think anyone else here really embraced the statistic.
I did feel as though my introduction of adjusted ERA (ERA+) and OPS (OPS+) had some impact, and Casey even suggested that maybe we should do a brief series introducing our fellow pinesters to some of the advanced statistics that are being widely used in baseball analysis today.
So, here we are. I can’t resist any longer. I need to tell you about the statistic that has supplanted Win Shares as the most popular SABRmetric measure out there.
The popular statistic I’m referring to is Wins Above Replacement, or WAR, which attempts to determine how many wins a given player is worth to his team compared to a replacement player. In this case, a replacement player is defined by what’s commonly referred to as a AAAA player. That is, someone who has found success at the AAA level, but is still not good enough to be a major league regular. In other words, the type of player who would replace a major leaguer if he got injured.
For position players, WAR takes both offensive and defensive contribution into consideration. I’m not going to attempt to explain how it’s calculated. I’m just going to say that several other advanced metrics factor into it. If you are interested in learning a little more about how WAR is calculated, I suggest you start here. Or, if you’re feeling really ambitious, check out the FanGraphs Library, a great resource for all your SABRmetric (or sabermetric, whichever it is) curiosities.
What is important is that WAR represents a composite of one player’s value to his team in a single statistic, and expresses this in a way that we all can understand. What’s also important to your understanding of this metric is an idea of what’s considered an average, good, excellent rating, etc.
For a one-year value, two Wins Above Replacement is considered to be the equivalent of the average everyday player, five is an all-star season and eight is an MVP-type season. In fact, according to Adam Darowski, who’s doing some excellent work with WAR over on a site called Beyond the Box Score, the average MVP winner since the advent of the award has produced 7.62 WAR.
Speaking of Darowski, he’s developed his own spin on WAR, which he calls weighted WAR (or wWAR). He uses wWAR as a method for evaluating players’ careers and Hall of Fame worthiness, but we can save that discussion for another day.
Where WAR differs considerably from Bill James’s Win Shares system is that WAR values can be negative. This is an advantage WAR has over Win Shares, because it is possible for a player to actually hurt his team by playing, whereas with Win Shares the worst he can do is contribute zero value.
If we used WAR to determine last year’s Most Valuable Players, Evan Longoria and Albert Pujols would have won the awards. In fact, both of the actual winners ranked no better than 5th in their respective leagues in the statistic, with Shin-Soo Choo, Miguel Cabrera, Robinson Cano and Adrian Beltre also ranking higher than AL MVP Josh Hamilton; and Roy Halladay, Ubaldo Jimenez and Adrian Gonzalez beating out NL MVP Joey Votto.
But, we know that statistics have limitations, and when it comes to an award like the MVP, they can’t always measure the impact of a player’s performance. However, WAR does tell us that the criminally underrated Choo (7.3) was much more valuable than Delmon Young, who ranked higher in the voting, but whose defensive deficiencies brought his WAR total down to 0.8.
WAR is certainly good for something, and that is providing a benchmark that helps us overcome the difficulties in comparing players with vastly different skill sets, where statistical comparisons don’t provide obvious conclusions.
It also can be converted to value in terms of contract dollars, simply by quantifying the value of a win. In that sense, WAR could actually be used to determine who represents baseball’s biggest bargain at his current salary–possibly Choo, who earned $461,100 last year–and who is…well, A.J. Burnett (2010 salary: $16.5 million; 2010 WAR: -0.1).
Bill J says
I still prefer Win Shares, but I’ll indulge you here with a quick little data mining exercise.
I extracted (from B-R.com) the WAR and Salary data for all players in 2010 who earned at least two WAR. Then, of course, I divided their salaries by their WAR, and here are last year’s top bargains (in terms of cost per win):
Shin-Soo Choo – $63,164
Clay Buchholz – $82,037
Joey Votto – $84,677
Carlos Gonzalez – $90,000
Jason Heyward – $90,909
Daric Barton – $93,182
Gio Gonzalez – $94,186
Andres Torres – $94,667
Drew Stubbs – $97,561
Clayton Kershaw – $100,000
Trevor Cahill – $100,000
Jay Bruce – $102,326
Billy Butler – $104,444
Nelson Cruz – $112,821
Brian Duensing – $112,838
Brett Gardner – $113,125
Chase Headley – $115,595
Ricky Romero – $120.088
Casey McGehee – $122,143
Cliff Pennington – $122,727
Evan Longoria – $123,377
Mat Latos – $123,576
Daniel Bard – $125,909
Andrew McCutchen – $128,030
Dallas Braden – $140,000
I’d like to be able to do the same to determine the least cost effective player, but it’s hard to quantify cost/win for the players who earned negative WAR. AJ Burnett, at $16.5 million for negative value is a pretty good bet for the top spot, though.
Bill J says
Forgot to mention that, of the 25 players listed above, Longoria ($950K) earned twice as much as most of the rest of them. Votto earned $525K, while the rest of of them are under $500K.
Casey says
Chas – great post. I am still digesting. I love the binary opposite comparison of Choo and Burnett.
Any moment now Rey is going to come into the discussion and express his concerns about Choo leaving the Tribe for the highest bidder. The Indians do have a knack for finding and developing talent.
Chas says
Thanks Casey, and thanks for the “quick little exercise,” Bill.
I’ve got an idea on how to express AJ Burnett’s performance in terms of cost/win. If he was at 0.1 WAR, we’d say that he cost the Yankees $165 million per win (16.5 million times 10). Right?
So, since he was at -0.1 WAR (that negative 0.1), then we could say he cost the Yankees $165 million per loss.
Casey says
Chas – YOu are on fire I tell ya.
In that case, Burnett might take your pun and sing it out loud: War! What is it good for? Ah-absolutely nothing. Say it again!
Chas says
Yeah, I noticed you were loving my comments from yesterday, Casey. 🙂