2010 FIP Challenge Results Part I

In 2009, I did a column at the All-Star break to see if FIP or xFIP would be more helpful for fantasy players in making trades. This year I did the same thing. You can see the results below

Should Fantasy Owners Use FIP?
FIP Challenge Results Part I
FIP Challenge Results Part II
FIP Challenge 2010

Here is the table from the 2010 article, along with an additional column, the pitcher’s ERA in the second half of the season.

Name HR/FB ERA FIP xFIP 2nd Half ERA
Paulino 1.9 4.40 3.25 4.60 15.88
Liriano 2.5 3.86 2.18 2.97 3.31
A. Sanchez 3.4 3.66 3.46 4.52 3.44
Buchholz 3.6 2.45 3.45 4.26 2.20
J. Johnson 3.8 1.70 2.31 3.06 3.50
Matsuzaka 4.1 4.56 3.83 4.98 4.79
J. Santana 4.5 2.98 3.62 4.69 3.00
Vargas 4.7 3.09 3.62 4.84 4.66
Verlander 5.3 3.82 3.11 3.89 2.89
Zito 5.3 3.76 3.91 4.79 2.89
Jimenez 5.4 2.20 3.13 3.71 3.80
Gorzelanny 5.4 3.16 3.26 3.92 5.20
Danks 5.6 3.29 3.41 4.13 4.19
Hanson 5.6 4.13 3.26 4.02 2.51
Cain 5.7 3.34 3.82 4.72 2.91
Kershaw 5.7 2.96 3.11 3.79 2.84
C. Lee 5.8 2.64 2.58 3.34 3.79
Wilson 6.1 3.35 4.14 4.71 3.36
L. Hernandez 6.2 3.37 4.02 4.71 4.02
Fister 6.3 3.09 3.75 4.38 5.06
Carmona 6.3 3.64 4.08 4.61 3.93
Floyd 6.5 4.20 3.28 3.78 3.91
Buehrle 6.6 4.24 4.16 4.85 4.32
Morrow 6.7 4.86 3.42 3.93 3.69
Cueto 6.9 3.42 3.91 4.45 3.96
Lackey 6.9 4.78 4.39 4.98 3.97
Correia 15.7 5.26 4.82 4.22 5.64
Hamels 15.2 3.78 4.53 3.85 2.23
Blackburn 14.8 6.40 5.89 5.14 3.93
Millwood 14.8 5.77 5.03 4.32 4.23
Karstens 14.5 5.42 4.88 5.50 5.00
Duke 14.5 5.49 4.89 4.36 7.00
Shields 14.3 4.87 4.11 3.55 5.59
Bannister 14.0 5.56 5.26 4.69 9.47
Wolf 13.9 4.56 5.81 5.24 4.11
Davis 13.7 4.69 5.69 5.10 DNP
Nolasco 13.7 4.55 4.39 3.84 4.40
Kennedy 13.7 4.12 4.83 4.31 3.38

There are 38 pitchers in the above chart. On a raw scale, the two systems were almost identical, with the FIP metric did a better job of predicting 2nd half ERA in 20 cases while xFIP did better 17 times. Furthermore, FIP did a better job of forecasting 14 of the 26 players with low HR/FB rates and both systems got five of the 11 pitchers (Davis being a wash) with high HR/FB rates.

In 2009, xFIP did better on a raw scale, as it did a better job predicting 20 of the 34 pitchers in the sample.

Similar to 2009, most of the pitchers fell outside the range predicted by FIP and xFIP. For example, Liriano’s FIP was 2.18 while his xFIP was 2.97. But he had a 3.31 second half ERA. Only seven of the 37 players listed above had a second half ERA between their first half FIP and xFIP. The two systems were close on this, too, with FIP being better on four of these seven pitchers. In 2009, 28 of the 34 pitchers had second half ERAs outside the range of their first half FIP and xFIP numbers.

Later today I will post a breakdown of all 38 pitchers in this survey.





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Bobby Boden
13 years ago

I have a hunch that something that’s somewhere between xFIP and FIP is probably the most accurate predictor (or something else entirely). It would be interesting to see what the statistics would look like comparing the dead middle between xFIP, and FIP. I’d wager this number would be a better predictor then either of the two individually. While xFIP ignores park/league factors, FIP takes this into account, but ignores lucky/unlucky HR/FB rates.

Ryan Hoffman
13 years ago
Reply to  Bobby Boden

So funny, I wrote this and didn’t see your post. I took the numbers from this year and last from these posts and took out Paulino and Davis. I found that the average is about .1 runs better than either FIP or XFIP (which were very similar). Thats significant over the course of a whole season, as it can be the difference between 1st and 8th in ERA.