DataBaseball
2026

Head to head · Career pitching

John Lackey vs Chris Sale

In 2017 Chris Sale has been worth 6.8 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.
StatisticJohn LackeyChris Sale
G364420
GS363339
IP2,329.22,246.2
W155159
L11497
SV012
SO1,9302,779
BB656518
ERA3.812.95
WHIP1.271.04
K/97.511.1
BB/92.52.1
HR/91.00.9
WAR35.160.0

2017 season

2017 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJohn LackeyChris Sale
G3132
GS3032
IP170.2214.1
W1217
SO149308
ERA4.592.90
FIP5.302.45
WHIP1.280.97
K/97.912.9
BB/92.81.8
FIP−12256
WAR0.47.2

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.
StatisticJohn LackeyChris Sale
G2413
GS209
IP121.246.2
W61
SV00
SO9766
BB4114
ERA3.625.79
WHIP1.271.33
K/97.212.7
BB/93.02.7

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.