DataBaseball
2026

Head to head · Career pitching

Jake Peavy vs Adam Wainwright

In 2016 Adam Wainwright has been worth 1.8 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 PeavyAdam Wainwright
G312478
GS301411
IP1,918.12,668.1
W119200
L102128
SV03
SO1,7882,202
BB540736
ERA3.663.53
WHIP1.171.24
K/98.47.4
BB/92.52.5
HR/90.90.8
WAR34.349.9

2016 season

2016 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJake PeavyAdam Wainwright
G3133
GS2133
IP118.2198.2
W513
SO102161
ERA5.544.62
FIP4.363.93
WHIP1.431.40
K/97.77.3
BB/92.72.7
FIP−10494
WAR1.02.8

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 PeavyAdam Wainwright
G929
GS916
IP38.1114.1
W14
SV04
SO21123
BB1722
ERA7.982.83
WHIP1.831.11
K/94.99.7
BB/94.01.7

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.