DataBaseball
2026

Head to head · 2025 pitching

Germán Márquez vs Marcus Stroman

In 2025 the two have been worth the same 0.0 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.

2025 season

2025 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticGermán MárquezMarcus Stroman
G269
GS269
IP126.139.0
W33
SO8326
ERA6.706.23
FIP5.475.19
WHIP1.711.54
K/95.96.0
BB/93.43.7
FIP−132125
WAR-0.0-0.0

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.
StatisticGermán MárquezMarcus Stroman
G15
GS15
IP5.030.2
W01
SV00
SO521
BB17
ERA3.604.40
WHIP1.601.17
K/99.06.2
BB/91.82.1

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.
StatisticGermán MárquezMarcus Stroman
G216270
GS210261
IP1,199.11,497.1
W7290
L7487
SV12
SO1,1061,230
BB378452
ERA4.703.79
WHIP1.341.28
K/98.37.4
BB/92.82.7
HR/91.30.9
WAR16.325.0

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.