DataBaseball
2026

Head to head · Career pitching

Cole Hamels vs Chris Sale

In 2019 Chris Sale has been worth 1.4 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.
StatisticCole HamelsChris Sale
G423420
GS422339
IP2,698.02,246.2
W163159
L12297
SV012
SO2,5602,779
BB767518
ERA3.432.95
WHIP1.181.04
K/98.511.1
BB/92.62.1
HR/91.00.9
WAR47.360.0

2019 season

2019 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticCole HamelsChris Sale
G2725
GS2725
IP141.2147.1
W76
SO143218
ERA3.814.40
FIP4.093.39
WHIP1.391.09
K/99.113.3
BB/93.62.3
FIP−9175
WAR2.33.7

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.
StatisticCole HamelsChris Sale
G1713
GS169
IP100.146.2
W71
SV00
SO9366
BB2714
ERA3.415.79
WHIP1.101.33
K/98.312.7
BB/92.42.7

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.