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Each underlying event in the FIP equation — be it a home run, strikeout, walk, or hit by pitch — is modeled to adjust for, as appropriate, the effect of the individual batter, catcher and umpire; the stadium; home-field advantage; umpire bias; and the handedness relationship between pitcher and batter present during each individual plate appearance.
(from http://www.hardballtimes.com/fip-in-context/)
Because cFIP is on a 100 “minus” scale, 100 is perfectly average, scores below 100 are better, and scores above 100 are worse. Because cFIP has a forced standard deviation of 15, we can divide the pitchers into general and consistent categories of quality. Here is how that divides up for the 2014 season, with some representative examples:
| Representative Examples, 2014 Season |
| cFIP Range |
Z Score |
Pitcher Quality |
Examples |
| <70 |
<-2 |
Superb |
Aroldis Chapman (36/best), Sean Doolittle (49), Clayton Kershaw (57), Chris Sale (63) |
| 70–85 |
<-1 |
Great |
Zach Duke (72), Jon Lester (75), Mark Melancon (75), Zack Greinke (82) |
| 85–95 |
<-.33 |
Above Avg. |
Hyun-jin Ryu (87), Francisco Rodriguez (88), Johnny Cueto (89), Joba Chamberlain (90) |
| 95–105 |
-.33 < 0 < +.33 |
Average |
Tyson Ross (95), Sonny Gray (96), Matt Barnes(99), Brad Ziegler (104) |
| 105–115 |
>.33 |
Below Avg. |
Brian Wilson (106), Tanner Roark (107), Nick Greenwood (111), Ubaldo Jimenez (112) |
| 115–130 |
>1 |
Bad |
Edwin Jackson (116), Jim Johnson (120), Kyle Kendrick (124), Aaron Crow (125) |
| 130+ |
>2 |
Awful |
Brad Penny (130), Paul Maholm (131), Mike Pelfrey (132/worst), Anthony Ranaudo (132/worst) |
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