DataBaseball
2026

Head to head · Career pitching

John Lackey vs Stephen Strasburg

In 2017 Stephen Strasburg has been worth 5.0 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 LackeyStephen Strasburg
G364247
GS363247
IP2,329.21,470.0
W155113
L11462
SV00
SO1,9301,723
BB656394
ERA3.813.24
WHIP1.271.10
K/97.510.5
BB/92.52.4
HR/91.00.9
WAR35.136.3

2017 season

2017 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJohn LackeyStephen Strasburg
G3128
GS3028
IP170.2175.1
W1215
SO149204
ERA4.592.52
FIP5.302.72
WHIP1.281.02
K/97.910.5
BB/92.82.4
FIP−12262
WAR0.45.4

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 LackeyStephen Strasburg
G249
GS208
IP121.255.1
W66
SV00
SO9771
BB418
ERA3.621.46
WHIP1.270.94
K/97.211.5
BB/93.01.3

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.