DataBaseball
2026

Head to head · Career pitching

John Lackey vs Justin Verlander

In 2017 Justin Verlander has been worth 3.5 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 LackeyJustin Verlander
G364557
GS363557
IP2,329.23,576.2
W155266
L114159
SV00
SO1,9303,560
BB6561,007
ERA3.813.33
WHIP1.271.14
K/97.59.0
BB/92.52.5
HR/91.00.9
WAR35.172.9

2017 season

2017 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJohn LackeyJustin Verlander
G3133
GS3033
IP170.2206.0
W1215
SO149219
ERA4.593.36
FIP5.303.84
WHIP1.281.17
K/97.99.6
BB/92.83.1
FIP−12288
WAR0.43.9

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 LackeyJustin Verlander
G2438
GS2037
IP121.2226.0
W617
SV00
SO97244
BB4174
ERA3.623.58
WHIP1.271.12
K/97.29.7
BB/93.02.9

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.