DataBaseball
2026

Head to head · Career pitching

CC Sabathia vs Chris Sale

In 2019 Chris Sale has been worth 3.9 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.
StatisticCC SabathiaChris Sale
G435420
GS434339
IP2,801.12,246.2
W197159
L12697
SV012
SO2,4932,779
BB778518
ERA3.632.95
WHIP1.241.04
K/98.011.1
BB/92.52.1
HR/91.00.9
WAR49.060.0

2019 season

2019 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticCC SabathiaChris Sale
G2325
GS2225
IP107.1147.1
W56
SO107218
ERA4.954.40
FIP5.663.39
WHIP1.411.09
K/99.013.3
BB/93.32.3
FIP−12675
WAR-0.23.7

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.
StatisticCC SabathiaChris Sale
G2513
GS229
IP124.146.2
W91
SV00
SO11666
BB5814
ERA4.345.79
WHIP1.521.33
K/98.412.7
BB/94.22.7

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.