My Problems With FIP

The formula for the Sabermetric stat FIP is (13HR + 3(BB+HBP-IBB) – 2K )/ IP That’s then added to a constant to equate it to normal ERA ranges.  (xFIP  provides some extrapolation on HR rate per fly ball, but my overall concerns remain the same)

 

The general idea with FIP is to try to determine how well a pitcher pitches without luck and the fielders altering his results.  Once the ball leaves the bat it could be a bloop that no one reaches, or a screaming liner that happens to be right at someone.  This is not affected by the pitch the pitcher throws, and the only way a pitcher can be sure of a result is to strike out the hitter.

 

It’s supposed to be irrelevant to the statistic. FIP treats a screaming double off the wall the same as Jeterian soft groundout to short.  Except it doesn’t really.  The ground out is .1 IP and lowers FIP by raising the denominator in the formula.  This is part of the problem with the stat.  It does successfully remove bad defense from the equation by not penalizing a pitcher for an infield single that or a liner that finds a hole, but it also credits pitchers with good defense with extra outs.

 

The stat was created with the assertion that pitchers lose control of what happens after ball hits bat.  So the idea is the pitcher is ‘better’ if he can overmatch the hitter and beat him via being a better pitcher than he is a hitter, and striking him out.  Another problem is the pitcher does have some control over the batted ball, and no one knows how much or how to measure it.  You can see a pitcher one year induce a ton of soft contact, and then all of a sudden induce a lot of strong contact another year.  That’s hard to measure.  Matt Cain is one example, and Chris Young another, of pitchers that always seem to outperform their FIP.

 

Actually inducing soft contact, something groundball pitcher seem to do better, is something that _can_ be done.  As of yet statisticians haven’t been able to conclusively measure soft contact, and I’m not even sure pitchers can actively decide to do it with any real consistency.   It may be that the quality of contact can be reduced by keeping the hitter guessing.  Ground balls yield more outs than fly balls, but it’s also true that the times you most want to throw a pitch that gets more ground balls is also the times that the hitter knows you want to throw that pitch.

 

No stats are perfect, and we shouldn’t hold FIP to a higher standard, or use it in a more absolute manner, than any other stat.  I’m certainly not saying that we shouldn’t ever reference FIP, or that we should abandon the quest to expand our knowledge of baseball.

 

I haven’t done the math, but I could see FIP being a stat useful for picking the reliever you most want to bring into runners on situation. These pitchers should theoretically be the most likely to get an out without a runner scoring due to a lucky bloop, or a home run doing lots of damage. This is especially true of relievers because their smaller sample size of innings pitched leads to much more variance in their ERA.

 

The difference in ERA and FIP can also be telling, although not conclusively.  Looking to see how much a pitcher’s FIP is off from his ERA can be a way to predict if he’s getting lucky, or unlucky.  It’s not a tell-all though; it can be used as a warning flag to look further, but it’s not a direct relationship from out-performing FIP to being due for a drop off in performance.   Jonathan Niese will be a good study in this this year.  His ERA last year, as it’s been most years, was much higher than his FIP. He had a 3.36 FIP and a 4.40 ERA.  He’s rewarded for striking out a lot of guys, but the mounting data is starting to suggest that the high amount of hits he gives up aren’t just due to luck and bad fielding.

 

I’ve started playing around with some of the numbers, but haven’t gotten that far.  Tweaking the formula to use batters faced instead of innings pitched doesn’t make that much of a difference.  The high numbers of batters bad pitchers face tends to lower their numbers in that case.  Pitchers like Oliver Perez who face a zillion guys but then strike out the side to get out of danger would do well in that situation, but even the simplest of analysts knows that’s not a good job.

 

Next I tried correcting for balls in play.  Instead of simply batters faced, I removed the percentages of outs from balls in play that simple luck would turn into outs.  Then I adjusted the formula to take away extra outs the defense provided, or add back in outs they should’ve made back towards normal.   This looks better, but I’m still looking at the numbers and playing with the formulas to see if I like it.   I’m also still just trying to figure out how to smoothly create and maintain a database of baseball stats, so there is a lot of trial and error going on over here.

 

Sabermetrics have given us a much better understanding of baseball, but it’s only just starting.  They got there by questioning the established logic, and it’s a philosophy we shouldn’t abandon just because we’ve taken a big step in understanding.

AL Cy Young: Do Wins Matter?

Let us start with a common argument during September that will crop up again soon once the Cy Young awards are given out. How do we value C.C. Sabathia’s win total against Felix Hernandez pretty much putting up better numbers in virtually every important statistic? Sabathia was 21-7 with a 3.18 ERA. Hernandez was 13-12 with a 2.27 ERA. Wins have historically been the benchmark pitchers are judged by, but perhaps that’s not totally fair. Pitchers cannot win games, except in the NL with a bat. On the simplest level a baseball game is won by the team that scores more runs than the other team. A pitcher only can affect half of this.

While the voting for Cy Young is a little less of a sham than the Gold Gloves, there is always big disagreement over who the best pitcher is, and how to figure it out. I’d definitely be in favor of ironing out specific rules as to how the voters should think about the award, or which stats are more important. Should the award go the guy that threw the ball the best? That fooled the most hitters? That was the “most valuable” pitcher? One of the biggest problems is that every voter defines the award differently, and is actually voting for different things.

It should be obvious to most people that the Yankees scored a ton more runs than the Mariners, and as a result C.C. Sabathia had a better chance to win games. If Felix Hernandez had been on the Yankees, he would’ve won more games, but would he have won eight more to match Sabathia’s 21? Does it even matter? I think if these two pitchers swapped team, we’d be having no debate that King Felix was better in 2010, but there is no way to measure that. It’s as fruitless as trying to nail down exactly how a pitcher will do before the season. Hernandez would have to face different batters, with different approaches and with different scouting reports. He wouldn’t have to face the Yankees three times and would be able to face the weak Mariners lineup.

Some, such as Michael Kay, suggest that C.C. Sabathia’s numbers were hurt because of something called “pitching to the score.” It is inferred that Sabathia is capable to adjusting to the game and if his team scores 2, he’ll let up 1, but if they score 8 he’ll be okay with letting them score 6. The idea being that if the Yankees were up 8-1, he was less careful about his pitches. The stress of the game may be less, but Sabathia is not just chucking it down the middle of the plate and hoping a fielder catches it. Run support plays a huge role in whether or not a pitcher wins a game, and C.C. Sabathia got 5.89 runs a game to Felix Hernandez’s 3.07. The Yankees only scored less than 4 runs 7 times during Sabathia’s starts. The Mariners scored less than 4 runs 19 times during Hernandez’s starts.

It certainly makes sense that pitchers will pitch differently based on the score of the game. The margin for error is greater in a blowout, and it’s possible that a pitcher will risk a pitch catching a little more of the plate to avoid possibly walking a batter and giving the opposing team more chances for a big inning. If we look at games Sabathia pitched badly in, do they suggest that he let up a lot of meaningless runs that don’t necessarily mean he was pitching badly? Sabathia was 1-4 in 7 starts when he allowed 5 or more earned runs. Of those games, one he left with a huge lead and the bullpen exploded to give him a no-decision. You could reasonable claim that he wasn’t worried about the score and may have relaxed and let batters put good swings on balls. Maybe. The other no-decision was Opening Day, where he left a tight game with a one run lead and a batter on third that scored. In the game he won against the White Sox he let up all the runs early and the Yankees didn’t take a big lead until later in the game. The numbers just don’t support that he was pitching to the score.

Felix Hernandez had only 3 games where he let up 5 or more runs. He lost all three of them; his team never bailing him out when he struggled. He had one more game where he allowed 4 runs, and lost that one as well. Every other game he allowed 3 runs or less. He left three separate games with the score 0-0, one after 7 innings, one after 8 innings and one after 9. He faced the feared Yankees lineup three times, shutting them out twice and allowing one run over 26 innings and two complete games. He led the league in innings pitched, and in hits per nine innings. He had 8.4 strikeouts per nine innings for a total of 232. He was first in pitching WAR.

Ultimately I do believe that wins matter. They are the very essence of what a baseball game is. I do believe that there are levels of effort, and that it’s possible to take your foot off the gas occasionally during a long season, and that it’s possible to bare down and battle when you need to, in clutch situations. Wins don’t play a part in the 2010 AL Cy Young award however, Felix Hernandez is simply in a different class as far as pitchers go. The next best pitcher may have been David Price of the Rays, who’s numbers come a lot closer to Hernandez’s, but still fall short.

I’ve clearly shown here that I favor King Felix for the award, but what will the writers pick? That it’s even a discussion suggests to me that at least some voters are going to value the wins over Hernandez’s clearly superior stats. I suspect these voters will vote David Price first, Sabathia second, and Hernandez third. Others may look at the stats and vote Hernandez, Price, Sabathia. Or even another pitcher I haven’t mentioned here. I think when the votes are tallied that David Price will come out ahead. So that’s my vote and prediction. We shall soon see.

How to Watch the Final 22 Mets Games

Baseball is by far my favorite sport.  I could never see another day of any other sport and I wouldn’t really miss it, but I’m going through baseball withdrawal by Thanksgiving.  So I’ll be watching most of the next 22 Mets games, and even when I change the channel on Sunday’s to the Giants, I’ll probably flip back and forth to watch baseball.

However, the games mean absolutely nothing and Jerry Manuel continues to do mind-numbingly stupid things with the roster, so how do I stay interested?  I try to take each part of the game and watch it for the game, and the situation, at hand with no care or worry about what it means to the overall season.  R.A. Dickey is pitching, so I’ll watch him dazzle with his two knuckleballs.  I don’t worry about his double digit win total, his contract status for next year, whether or not this is a one-year wonder or anything like that.  There will be months and months of that sort of debate, but for now there are only 22 Mets game left and I’ll enjoy each one for what they are; baseball games.

Obviously watching some of the rookies getting their shot at the majors is something to look at.  Duda and Tejada are two that look mostly overmatched and unready, but Davis is again putting good swings on balls and launching monstrous home runs.  Jon Niese may be struggling down the stretch, but it’ll be interesting to see if he can fight through it for a couple more starts to finish off what’s been a terrific rookie campaign.  Thole’s looking like a solid catcher option for next year, and we’re going to get more looks at Mejia and Gee as well.

Career milestones are another avenue to root for.  David Wright and Jose Reyes, once he returns from the oblique strain, are reaching territory rarely achieved in Mets history.  They’re cementing their places as some of the greatest Mets to wear the uniform.  Wright needs two RBI to tie Mike Piazza for second all-time as Met.  Three game-winning RBI to tie Piazza for first.  He’s second on the career list for runs scored, and Reyes is fourth and only three runs behind him.  Reyes is the all-time Mets leader with 329 stolen bases and increases his lead with every swipe.  Wright and Reyes are 4th and 6th respectively in hits.  These guys are some of the best Mets to ever play the game and they’re playing right here, right now.

So while the Mets may be inches from elimination, there is still a lot to be excited about while watching these final 22 games.  Before you know it the season will be over and you’ll be wishing you could watch Niese drop one last curveball on a unsuspecting hitter, or see David Wright crush one more fastball.

Omar’s Advanced Statistical Analysis

“Mets GM Omar Minaya poses ideas to him, often via email, and Baumer will run the numbers to see if they’re true. He said he’s one of 8 or 10 people who can offer their two cents when a decision is being made, such as a trade or in free agency.”

 Jenny Vrentas/The Star-Ledger is referring to Ben Baumer, the Mets statistical analyst.  We’ve known the Mets use, as do most teams, advanced statistics in evaluations of players for trades and signings and even drafting.   They hinted at it being one of the reasons they chose Jason Bay.  It provided evidence that the free agent pitchers on the market this offseason were not worth it. 

It’s worth noting that despite some criticism, the Mets do in fact use a variety of tools to evaluate players.   I have plenty of issues with some of the popular advanced stats out there, from UZR to WAR to FIP.  I’m working on a post that specifically outlines my concerns, but there is still value to looking at these numbers, especially to reinforce an opinion you might have on a player you haven’t seen that much of. Especially for a general manager of a baseball team.

For all the criticisms of Omar, and those fans that feel he just has to go before this team can win, this article suggests he might not be as clueless as you think.

Projected Stats

Some projected stats after 55games, just over a third of the season. (Prior to the San Francisco Road Trip)

Pitching projects are approximate since it depends on where they fall in the rotation and days off and all that.(Santana won’t end up with 35 starts.) I included total pitches thrown and pitches per game. which are very arbritrary and meaningless. I couldn’t find Inherited Runners Scored for Smith, but i’ll look more carefully when i next to projections.

I intend to project some of the Phillies players too, and match them up a little bit, but I don’t have time for that now, so later in the week.

Projections
Reyes, 106R, 189H, 15T, 21HR, 74rbi, 68BB, 53SB .284avg/.347obp/.480slg
Wright, 109R, 186H, 50D, 32HR, 124rbi, 106BB, 24SB, .293/.395/.535
Beltran, 115R, 156R, 44D, 18HR, 100rbi, 106BB, 21SB, .264/.372/.458
Delgado, 130H, 24HR, 68BB, 21D, .224/.306/.383

(47g)Church, 103R, 159H, 24D, 29HR, 100RBI .320/.384/.556
(44g) Castillo, 80R, 127H, 9HR, 27SB, .265/.374/.364
(36g) Schneider, 94H, 44rbi, 27R, .258/.326/.323

Santana 21-9, 35G, 3.20, 209K, 59BB, 239IP, 230H, 3696p, 106(p/g)
Maine 15-12, 32G, 3.66, 189IP, 159H, 159K, 88BB, 3387p, 106(p/g)
Perez 12-9 32G, 4.83, 174IP, 147H, 147K, 121BB, 98(p/g)
Pelfrey 6-18, 29G, 4.98, 165IP, 206H, 85K, 74BB, 2981p, 103(p/g)
Wagner .039, 68IP, 32S, 41H, 82K, 12BB,
Smith 2.95, 62IP, 44H, 62K, 24BB,