WAR (huh) What Is It Good For? Player Valuation.
The jokes they are aplenty. "Player Valuation" actually fits the rhythm of the song, too.
The basic idea of WAR is to combine batter offensive run production and defensive run prevention and roll them into one complete number based on what a AAA player, a "replacement player", would provide. Our own Jeff Aberle broke down how WAR works for position players as well as for pitchers as part of his Purple Row Academy series.
There are a couple of different permutations of WAR that are available for general consumption:
Rally War, also known as rWAR, was developed by Sean Smith and is available at Baseball-Reference and is the most complete WAR out there - purely based on the fact that it goes back as far as play-by-play data has been kept. Using rWAR, we estimate that Babe Ruth was a 15-WAR player in 1923, when he batted .393/.545/.764, hit 41 HR, and played outstanding OF defense. As far as pitching goes, rWAR takes actual runs allowed and makes an adjustment based on the defense behind that pitcher and makes adjustments based on the defense behind that pitcher.
Fangraphs WAR, shortened to fWAR, utilizes UZR, a defensive metric that's been in use since around 2002. Using fWAR, we see that Todd Helton was an 8.6 WAR player in 2000, where he batted .329/.429/.577, hit 30 bombs and played excellent 1B defense. For pitchers, fWAR removes defense from the equation by basing their pitching WAR entirely around FIP (short for Fielding Independent Pitching). You can read more about FIP in Counting Rocks.
Baseball Prospectus has had a WAR metric for awhile now, known as WARP. I'm always hesitant to try and break down BP's metrics for some reason. Maybe it's because when I first started looking at them I had no idea what I was looking at. Whatever the reasoning, BP's been there for awhile, but somehow Fangraphs and BR took the win-valuation idea and just ran with it.
Fact is though, the big WAR machine catches a lot of flak from all sorts of channels for a variety of reasons:
1. The defensive component of WAR is sketchy.
Both WAR systems use their own defensive valuation. rWAR uses TotalZone, which is based on play-by-play data and has similarities to Bill James' Range Factor. The basis behind this kind of fielding valuation is that players should be valued for the plays they are involved in, whether for better or worse. On the flip side, UZR is what distinguishes fWAR. UZR is pretty complex, as you can see from the Fangraphs UZR Primer. The complaint around Purple Row is the fact that it seems to completely miss the mark on guys like Carlos Gonzalez and Dexter Fowler, who are both scouted as excellent defenders.
2. WAR misses the less tangible aspects of a player's offensive game.
This guy can go 1st to 3rd on a single to RF! This other guy is a high contact hitter, and he makes more productive outs than other guys! This guy here fouls off pitches and runs to first hard! I want these guys on my team! Baseball isn't measured in just home runs and strikeouts, it's who WINS the game! You might not like RBI, but they at least tell me something that WAR doesn't!
We could probably find more faults with WAR, but these ones are biggies, and I have the time to address them.
1. The defensive-metric criticism is pretty valid. I don't have much room to argue with it. Between TZ and UZR, there doesn't seem to be a consensus on any number of players. In 2010, UZR rated Carlos Gonzalez as -2.7 runs below average. TotalZone rated him as 4 runs above average. Similarly, Dexter Fowler was -2.6 runs below average in 2010 per UZR, but TZ saw him as dead average (0 runs).
Thing is, the discrepancy exists, and it's kind of hard to deny an impact to WAR. User RhodeIslandRoxFan had the idea to average the metrics to get a better idea on what a player provided in the field during a given year. It looks like Fangraphs liked the idea enough to run with it, giving us the Aggregate Defensive Ratings. These are found by making a weighted average of TotalZone, UZR, Defensive Runs Saved, and Tom Tango's Fan Scouting Report. For those wondering, TZ, UZR, DRS all had a weighting of 3 as compared to FSR's 1.
2. All those examples listed are potentially positive things. The one that is underrated and analyzed is baserunning, but some stat systems are starting to get on board with better baserunning coverage. Right now, SB and CS are represented, but past that, a lot of the value of smart baserunning (or terrible baserunning) is underrepresented in the WAR universe.
Past that, I have trouble really crediting a guy with a grounder to the right or a couple of extra fouled-off pitches if he doesn't end up on base somehow. These things can be beneficial in the microcosm of a single PA, but their value is just too dependent on the context of the PA. What if the guy grounds out to the right with a runner on 1B? Or nobody on? That groundout suddenly became a lot less valuable. Or if you are fouling off pitches with 2 outs, you still need to get on base or the inning ends.
I could go on with the contextual problems with overvaluing stuff like this, but it'll just end up in a big argument - which is probably inevitable anyhow. Valuing a player should be based on what the batter does, not what the other guys on the team do. If Dexter Fowler hits a double and Chris Iannetta fails to cross home plate, is that Fowler's fault? No, obviously not. Fowler should be credited with the double and that will go toward his batting average, OBP, SLG, OPS, wOBA, etc etc etc.
The thing is, WAR and RBI (or whatever) are trying to tell the same story, just WAR is including more and removing context. WAR is a good tool for comparison and back-of-the-envelope analysis. Anything more in-depth will require one to break out the component stats, the fielding, the batting line, the park, the splits, the everything. I can see how WAR appears to be doing too much at once and as a result doesn't do anything well, but it needs to be viewed in the proper context. WAR isn't a "how did this player fare in this game" type of number, it's a "what contribution did this player make to his team's season" number that's typically looked at during the offseason.
Sure, there are fun intangibles that make some players better than others when the statline doesn't reflect it. But these things are typically reserved for the back end of the bench where a player's impact is pretty minimal over 162 games. No, WAR may not accurately depict every nuance of those replacement players' games, but that's not really what it's there for. WAR removes context from batting numbers (eg, situation, park effects) in an effort to value players on a level plane. If Ryan Howard posts 120 RBI, is he really more valuable than David Wright, who plays for a more offensively-starved team? WAR doesn't care who you play for. It looks at who you are and what you do. No, WAR doesn't measure how you affect your teammates. That's the job of personnel scouting.
If you have more questions about WAR, feel free to ask them in the comments. Myself (and hopefully the staff and other knowledgeable posters) will be more than happy to answer them.
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If it can be assumed that seeing a lot of pitches is a Good Thing for a batter
Then it’d not be impossible to add this element to WAR, right? Giving Todd and Jonny an extra, if small, boost to their rating?
And is there a “replacement level” speed between the bases that could, in any sense, be measured and compared player by player?
It's a good thing, colloquially
but I could take a 20 pitch AB and ground out just as easily as walk or hit a triple.
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by Andrew Martin on Mar 22, 2011 4:10 PM MDT up reply actions
Not every pitcher will assuredly perform worse after that.
The result is where the value is. It’s not a bad thing to foul off pitches, I won’t say that, but just because the first guy has a 10 pitch AB and walks or singles or whatever, that doesn’t mean the next 3 batters won’t ground into double plays or what have you.
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by Andrew Martin on Mar 22, 2011 4:25 PM MDT up reply actions
the value is in the walk/single/result of the PA
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by Andrew Martin on Mar 22, 2011 4:27 PM MDT up reply actions
If we were facing a great pitcher like Kershaw or someone like that and you could chose the result of the first PA of the game
which if the following scenarios would you pick?
A: Dex singles on the first pitch.
B: Dex strikes out but has a 20 pitch at bat.
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by RhodeIslandRoxfan on Mar 22, 2011 9:56 PM MDT up reply actions
Do you mean Clayton Kershaw or a great pitcher?
Kershaw, probably the 20P AB. Kershaw’s wild enough that it would probably mean he’s getting chased in the 5th.
Halladay? Single. I take baserunners where I can get them.
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by Andrew Martin on Mar 22, 2011 10:03 PM MDT up reply actions
I'm not really sure
I probably should have clarified a little more since it was just a thought that popped into my head. (I picked Kershaw because he’s an Ace on a division rival’s staff) Just trying to get a feel of how valuable others feel the making the pitcher throw a bunch of pitches thing really is. (and also see if there a point where it could be actually more important than getting on base in a spot)
I agree with you in both the Kershaw and Halladay examples. Maybe it’s more about each unique situation here.
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by RhodeIslandRoxfan on Mar 22, 2011 11:27 PM MDT up reply actions
The defensive aspect that goes into WAR makes me leery of the stat..
One thing you failed to discuss was how the defensive positioning is accounted for in the makeup of WAR. For instance CarGo is penalized -7.5 runs for playing leftfield but is rewarded +2.5 runs for playing center. If he had played CF the entire season it would have boosted him nearly an entire win since 10 runs=1 win. Which is dumb because he adds value to the position since he can cover so much ground. Unfortunately uzr hates Coors field outfielders, but if CarGo had played CF in ATT he would have been a 7 win player.
by Charlie77 on Mar 22, 2011 5:00 PM MDT via mobile reply actions
It really just has to do with Coors Field not being properly represented, IMO
Doesn’t make the whole thing terrible, it just means it needs to be improved.
The concept of positional adjustment was made based on the types of players who tend to play LF – there’s a mix of Carl Crawfords and Adam Dunns out there.
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by Andrew Martin on Mar 22, 2011 5:17 PM MDT up reply actions
Good point..
And the uzr score should offset the difference in skill set ie Dunn vs Crawford. However I trust the infield defensive stats more than the outfield because of situations like Coors field presents.
by Charlie77 on Mar 22, 2011 7:20 PM MDT via mobile up reply actions
Positional adjustment is correcting for the difficulty of a position's defense
Dunn and Crawford (1B/DH vs. LF) are only being measured versus their position, so you have to have a factor that counts positional difficulty.
Alternatively, you can view it as a positional scarcity adjustment. Because it is hard to find great hitting SS’s, CF’s, and C’s they actually produce more value than a similar hitter at a “corner” position.
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Its too bad a player like CarGo is penalized though..
And its not because he provides negative value in Center, but because Dex is good enough to protect CarGo and shift him into a position where he’s less likely to incur a Larry Walker injury.
by Charlie77 on Mar 22, 2011 7:50 PM MDT via mobile up reply actions
Yeah, that's kind of the case
If Cargo played in center, he’d have a better WAR.
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by Andrew T. Fisher on Mar 22, 2011 8:02 PM MDT up reply actions
I agree, this is something that has bugged me for a while
I reconcile it by remembering that WAR isn’t a measurement of talent, it’s a measurement of value. Even though he was fantastic, the value he produced in comparison to a replacement outfielder with the same distribution of innings wasn’t as much as if he played CF exclusively.
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To put it differently
a CF who hits like Cargo is more valuable than a LF who hits like Cargo, because more teams are willing to hide a worse athlete in LF (see: Ramirez, Manny)
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by Andrew Martin on Mar 22, 2011 8:43 PM MDT up reply actions
This answer makes the most sense to me.
by Charlie77 on Mar 22, 2011 10:52 PM MDT via mobile up reply actions
But it does mean, in 20 years time, that Cargo will have lost a WAR a year playing left
And when they’re doing the HOF ballot if it’s 55 WAR instead of 65 that’s going to make a big difference…
True, but that isn't WAR's fault, per se.
He can play CF, but Tracy is going to play him in LF.
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by Andrew Martin on Mar 23, 2011 8:35 AM MDT up reply actions
how long is dex under team control for?
presumably cargo can remain athletic enough to cover CF for, say 2015-17 if dex leaves for whatever
you still have to play the game, no matter how shiny liriano's FIP is
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I don't think Cargo will be losing any range do to lack of use, given the gigantic power alley
I believe we have 4 years of Dex left
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by Andrew Martin on Mar 23, 2011 9:34 AM MDT up reply actions
I'm just brainstorming and a few beers might be getting in the way...
but statistical modeling can be done to figure out what metrics are the best to use and how much weighting should be used with each. The problem is defining a response variable for your model. In this case, I like the use of a simple 0/1 response since it’s going to be arbitrary anyway. A 1 would be a “good” player and a 0 a “bad” player. Get rid of anyone in between in the beginning.
Good vs. bad could be based on win shares or something like that maybe? I have been away from sabermetrics for awhile. I never even really say win shares in action. You’ll have to look at the percentiles. Take the top 20% as good and the bottom 20% as bad.
Then build a model with all of the metrics you can possibly think of that people use to evaluate players. Figure out which are the best. Obviously, separate pitchers from batters. Each observation will be one player/one year. I’d love to do it myself, but I unfortunately have no time. I usually don’t even post anything but LOVE THE SITE.
I don’t know, but it may kill a few arguments.
I think you have the right idea here
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by RhodeIslandRoxfan on Mar 22, 2011 9:57 PM MDT up reply actions
I'm not entirely sure what the idea is
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by Andrew Martin on Mar 22, 2011 10:03 PM MDT up reply actions
Well, we have arguments as to what metrics are the best...
at telling us who the good players are. The first problem is defining a good player. Personally, I wouldn’t use all-star status b/c it’s based on biased balloting. That’s why I threw out win shares or something that sabers trust more. If you use the top 20% as good and bottom 20% as bad, there should be relatively few disagreements with the selections.
Then build a model that predicts the good ones. Use fWar, rWar, Warp or any of the individual metrics going into the computation of those as predictors. See which do the best job. Maybe an average of the permutations of WAR would be most useful.
No statistical model is perfect, but some are useful to steal a quote from George Box. I just think that’s better than finding an exception to the statistic like CarGo and saying the metric is bad.
by Husker4Rockies on Mar 23, 2011 7:08 AM MDT up reply actions
well, an average player is 2.0 WAR
4.0 is All-Star level
6.0+ is MVP level anymore.
WAR isn’t a predictor is the thing. It’s a measurement of past production.
The best metric that we have on hand right now is probably wOBA, with it’s counterpart wRC+. wOBA is the best measure of overall batting performance.
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by Andrew Martin on Mar 23, 2011 8:38 AM MDT up reply actions
I hope the new line is as well
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by Andrew Martin on Mar 22, 2011 5:49 PM MDT up reply actions
"WAR is thus an act of force
“to compel our enemy to do our will.” Oh, where not discussing Clausewitz?
"No Mission Too Difficult, No Sacrifice Too Great—Duty First" - 1st Infantry Division Motto
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banned for history trolling
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by Andrew Martin on Mar 22, 2011 6:12 PM MDT up reply actions
I'd use the banhammer
instead for using “where” in the comment.
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But then we get into the argument of Mahanian war vs Clauswitian war vs SunTzu vs Liddle Hart.
"Why are they outlawin' the spit pitch? The curveball is a cheap 'n easy pitch; the spitter aint" Ty Cobb
"When I was pitching 90's in the seventies; I never thought I'd be pitching 70's in the nineties!" Frank Tanana
by Oldfoagie on Mar 22, 2011 6:54 PM MDT up reply actions 4 recs
I am going to
rec this so hard when I’m not mobile.
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by Russ Oates on Mar 22, 2011 7:08 PM MDT via mobile up reply actions
I put one on it for you
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by rockieprogress on Mar 22, 2011 7:23 PM MDT up reply actions
it's green
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by Andrew Martin on Mar 22, 2011 8:44 PM MDT up reply actions
Awesome
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by RhodeIslandRoxfan on Mar 22, 2011 9:57 PM MDT up reply actions
Over-averaging
I love stats in baseball and have spent way too much time looking at them and even computing some of my own. I also love most of the analysis here on PR. However, when it comes to WAR I just can’t get on board. Stats are best used to look at aspects of the game or of a player and to look backwards in time. When you try to come up with one number that represents “the value” of a player you run into so many problems that the analysis becomes basically worthless.
First off, the concept of a player having “a value” is flawed. A player has a value to a team, a value in a certain situation, a value as part of a larger plan, but not some overall context-neutral value. Same with any other value in life. Value is subjective and context-specific.
Secondly, and more importantly, you need to look at the different aspects of a player (OBP, SLG, bases advanced, defense, etc separately to get a good picture). Also, baseball is all about context so trying to remove context from a player is going to be a problem. A pitcher may do well on one team because of defense, confidence, etc and then do horribly on another team. Assuming his WAR will stay the same is flawed and if you don’t assume his WAR will stay the same what’s “valuation” really good for?
Thirdly, defense is a significant part of the game. If WAR can’t account for it adequately that pretty much shoots the concept of an overall player valuation number right there. “We have this great car here, but the brakes don’t quite work all the time. But drive it anyhow because it’s all shiny and stuff and the rest of it works just fine”.
In college, one of my statistics professors opened the semester with the line “Statistics are for people who have no idea what’s going on.” I don’t know if it was his original material or he was quoting but it’s a great line on several levels.
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by RoarFrom112 on Mar 22, 2011 6:13 PM MDT reply actions 1 recs
hey!
In college, one of my statistics professors opened the semester with the line "Statistics are for people who have no idea what’s going on." I don’t know if it was his original material or he was quoting but it’s a great line on several levels.
We have a slim idea what’s going on! This is Cricket, right?
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by Andrew Martin on Mar 22, 2011 6:28 PM MDT up reply actions
Heh
I wonder if Cricket fans are equally stat-obsessed…
I always took the line to mean that stats let you take a big pile of information and no understanding (no idea what’s going on) and give you a good clue where to take a closer look (so that you now have some idea what’s going on). They’re a great starting point and a valuable tool, but they don’t provide understanding by themselves.
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Cricket fans are not nearly so obsessed, no
Obviously there are some elite fielders but I don’t think there even could be a fielding metric because not only are the different fielding positions vastly different (slip or silly point vs third man or long on, say), but the fielders can be placed in an almost infinite variety of positions, even in the same game.
In terms of batting there are more, but still only a few. Runs scored, run average (the most important career-wise), run rate (how quickly runs are achieved). How the batsmen are out is recorded but not terribly important; where the batsman hits in the order ditto. Some batsmen are very quick/good runners so may be able to eke out a few more quick runs, especially in the shorter forms of the game where it matters more. But I’m running out.
Bowling – you measure the wickets taken at what average (runs conceded per wicket), the number of wickets, the strike rate (number of runs scored per over), number of maidens (overs bowled without a run conceded), and how each batsman is got out by the bowler, the number of extras conceded, and I guess the number of overs bowled. But again, only the first few really matter.
You are saying what I feel about War pretty concisely.
"Why are they outlawin' the spit pitch? The curveball is a cheap 'n easy pitch; the spitter aint" Ty Cobb
"When I was pitching 90's in the seventies; I never thought I'd be pitching 70's in the nineties!" Frank Tanana
Nicely put
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by rockieprogress on Mar 22, 2011 7:26 PM MDT up reply actions
You bring up some good points about player valuation via WAR. These are some of my thoughts:
1. I don’t think the notion of value is “flawed.” Firstly, it is important to define what one means by value. Is it measured in runs? Wins? Dollars? Runs and wins are probably the most context-neutral measurements, while measuring value with dollars is very context-sensitive.
WAR is attempting to objectively and quantitatively estimate the value of player contribution. In the end, context-neutral is the only way to reliably measure player value.
I understand your sentiments: the notion that one could ever completely “factor out” context seems absurd. But, it is possible to mostly factor out circumstances outside of individual player control. That’s the value of WAR – understanding individual player contributions in a way that cannot be done otherwise.
2. That’s what WAR is attempting to do: look at (almost) all of a player’s aspects. It incorporates on-base, power. It has (at least on a rudimentary level) baserunning value. It incorporates defense. Why look at them separately when they have already been combined?
Pitcher WAR factors out defense. As noted above, rWAR takes runs allowed and then factors out defense, and fWAR simply uses the DIPS stat FIP. Both rWAR and fWAR account for park factors and run environments.
3. Defensive metrics aren’t perfect simply because we lack the technology to track all aspects of balls in play. However, simply because they aren’t perfect doesn’t mean they aren’t very good. I don’t know enough about defensive metrics to explain, but I feel confident in saying that they are generally accurate enough to incorporate into WAR.
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Doesnt FIP, and as a result WAR, reward groundball pitchers less than power pitchers?
For instance was Verlander’s season better than Felix Hernandez’s last year? The Tiger pitcher is more of a power pitcher and his numbers reflect a better WAR and FIP, but I’m not sure he had a better season.
by Charlie77 on Mar 22, 2011 8:03 PM MDT via mobile up reply actions
I would still call Felix a power pitcher with a healthy side of groundballs =)
FIP assumes zero pitcher skill on preventing hits on balls in play, which, for the most part, seems true.
xFIP rewards groundballers quite strongly. If you have a lower FB%, then you are less likely to give up homeruns, the most heavily weighted FIP component.
Comparing xFIP’s, Felix wins 3.26 to 3.68. Although they had similar K/BB ratios, Felix was superior in his anti-FB tendencies.
The reason that fWAR uses FIP and not xFIP is that they are hesitant to deem xFIP as a superior evaluative metric at this point. They are still delving into expanded DIPS theory to develop a better version of FIP that incorporates more batted-ball data.
Verlander had a slight advantage in fWAR because of a better FIP and park factors.
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for the record
it seems that xFIP is a better predictor, and FIP is a better “look back”.
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by Andrew Martin on Mar 22, 2011 8:49 PM MDT up reply actions
Yep
Evaluative vs. Predictive
I had the hardest time explaining this to my uncle with regards to batting average. I was trying to say that it was neither evaluative nor predictive, and thus a useless statistic.
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Not sure about that take on xFIP
1. Does lower FB% = lower HR/FB? It would seem like a safe assumption, due to the idea that if you are getting a high number of groundballs as a percentage of balls in play you are probably doing something right on inducing favorable contact.
Yet, and this is just off the top of my head, here are those rates for Aaron Cook and Nate Robertson in 2007 (Pitcher / FB% / HR/FB):
Robertson / 37.5% / 10%
Cook / 23.6% / 11%
Now career:
Robertson / 34.6% / 12.3%
Cook / 23.6% / 10.1%
2. If it’s true that groundballers are less likely to give up home runs, and thus have lower HR/FB, it’s actually more likely that xFIP is unfair to those pitchers. This is a point that was made consistently during Ubaldo’s first half (maybe xFIP is unfair because, as a GB pitcher, the type of contact Ubaldo generates lends itself to an unusually low HR/FB).
Neither of those illustrations are definitive at all, but this is where xFIP does begins to look good. As Andrew mentions below, xFIP is a better predictor, and if HR/FB are unstable from year to year, it would make sense to normalize them in making a prediction about how good a pitcher will be going forward.
As it turned out, Ubaldo’s first half xFIP (high 3s) actually predicted his second half ERA (3.80) quite well (it’s probably an abuse to use xFIP in season, but still…).
So I'm supposed to believe ..
That a guy who threw 25 fewer innings, gave up 21 more earned runs and had fewer complete games provided more value than King Felix?
by Charlie77 on Mar 22, 2011 11:54 PM MDT via mobile up reply actions
A case could be made if...
he had more Ks, fewer HR, fewer BBs (and, maybe, more GB). The case would be that the other pitcher was better at limiting the opportunities in which a run could score in the first place by:
a) limiting the number of balls in play, which could become hits (higher Ks)
b) keeping the ball in the park, which means fewer hits that are guaranteed runs (fewer HR)
c) assuming not every outing is going to be a NH, limiting extra base runners who could become runs (fewer BB), and
d) more ground balls are fewer balls in play that could ever become home runs, and probably limiting the number of XBH more than a fly ball pitcher (higher GB)
I didn’t catch who this second pitcher is earlier in the thread, but that’s one way to make a case that he could be more valuable that KF (though it’s dubious because I’d guess it’s unlikely that a pitcher is going to beat him in all four categories and come out with worse results).
You might want to look at WPA
It only covers offensive appearances, but it works to measure value in a context-specific manner than most other stats do. It’s not perfect, but it can be useful as part of a larger comparison. A bit more explanation of WPA.
"What everybody needs to do is calm down, take a deep breath, and prepare their bodies for the Thunderdome. That is the new law."
we did on one WPA in 2009 I think
WPA is kind of my version of RBI/Runs/Clutch
Here’s the PR WPA article
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by Andrew Martin on Mar 23, 2011 8:40 AM MDT up reply actions

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