DataBaseball
2026

Head to head · Career pitching

Dan Haren vs Stephen Strasburg

In 2015 Stephen Strasburg has been worth 2.5 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.
StatisticDan HarenStephen Strasburg
G363247
GS361247
IP2,301.01,470.0
W147113
L12162
SV10
SO1,9381,723
BB461394
ERA3.703.24
WHIP1.171.10
K/97.610.5
BB/91.82.4
HR/91.10.9
WAR36.836.3

2015 season

2015 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticDan HarenStephen Strasburg
G3223
GS3223
IP187.1127.1
W1111
SO132155
ERA3.603.46
FIP4.612.81
WHIP1.131.11
K/96.311.0
BB/91.81.8
FIP−11671
WAR0.73.2

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.
StatisticDan HarenStephen Strasburg
G29
GS28
IP11.055.1
W16
SV00
SO971
BB38
ERA4.091.46
WHIP1.730.94
K/97.411.5
BB/92.51.3

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.