DataBaseball
2026

Head to head · Career pitching

Jake Peavy vs CC Sabathia

In 2016 CC Sabathia has been worth 1.0 more wins. Both lines are computed from play-by-play on the same constants, so they are measured the same way rather than quoted from two sources.

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2005 begins at 2005, not at his real first game.

Career pitching totals. ERA, WHIP and the per-nine rates are recomputed from the components rather than averaged; FIP needs each season’s own constant and is left to the season table.
StatisticJake PeavyCC Sabathia
G312435
GS301434
IP1,918.12,801.1
W119197
L102126
SV00
SO1,7882,493
BB540778
ERA3.663.63
WHIP1.171.24
K/98.48.0
BB/92.52.5
HR/90.91.0
WAR34.349.0

2016 season

2016 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJake PeavyCC Sabathia
G3130
GS2130
IP118.2179.2
W59
SO102152
ERA5.543.91
FIP4.364.28
WHIP1.431.32
K/97.77.6
BB/92.73.3
FIP−104102
WAR1.02.0

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

Every published postseason, pitching, summed with the rates recomputed from the counts.
StatisticJake PeavyCC Sabathia
G925
GS922
IP38.1124.1
W19
SV00
SO21116
BB1758
ERA7.984.34
WHIP1.831.52
K/94.98.4
BB/94.04.2

More head to heads

The same seasons, measured against somebody else.

How these are computed

FIP uses the constant solved from this season’s own runs, and FIP− is park-adjusted against the same league. dbWAR is our own open implementation — not fWAR or bWAR — and the full derivation, including its simplifications, is on the methodology page. To put these two beside a third, the comparison page takes up to four.