DataBaseball
2026

Head to head · 2026 pitching

Germán Márquez vs Jeffrey Springs

In 2026 Jeffrey Springs has been worth 0.1 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.

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticGermán MárquezJeffrey Springs
G1329
GS1029
IP53.0142.2
W44
SO37112
ERA5.266.18
FIP6.616.03
WHIP1.491.46
K/96.37.1
BB/94.13.6
FIP−158144
WAR-1.0-0.9

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2015 begins at 2015, 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 table above.
StatisticGermán MárquezJeffrey Springs
G216206
GS21096
IP1,199.1627.1
W7238
L7437
SV12
SO1,106609
BB378215
ERA4.704.22
WHIP1.341.29
K/98.38.7
BB/92.83.1
HR/91.31.5
WAR16.35.0

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.