DataBaseball
2026

Head to head · Career pitching

Corey Kluber vs CC Sabathia

In 2019 Corey Kluber has been worth 0.8 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.
StatisticCorey KluberCC Sabathia
G271435
GS260434
IP1,641.22,801.1
W116197
L77126
SV10
SO1,7252,493
BB368778
ERA3.443.63
WHIP1.131.24
K/99.58.0
BB/92.02.5
HR/91.01.0
WAR36.149.0

2019 season

2019 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticCorey KluberCC Sabathia
G723
GS722
IP35.2107.1
W25
SO38107
ERA5.804.95
FIP4.065.66
WHIP1.651.41
K/99.69.0
BB/93.83.3
FIP−90126
WAR0.6-0.2

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.
StatisticCorey KluberCC Sabathia
G1025
GS922
IP47.0124.1
W49
SV00
SO48116
BB1358
ERA4.024.34
WHIP1.231.52
K/99.28.4
BB/92.54.2

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.