DataBaseball
2026

Head to head · 2025 pitching

Wikelman González vs Erik Sabrowski

In 2025 the two have been worth the same 0.4 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.
StatisticWikelman GonzálezErik Sabrowski
G1633
GS00
IP20.129.1
W10
SO2542
ERA2.661.84
FIP3.093.61
WHIP1.231.19
K/911.112.9
BB/95.36.4
FIP−7487
WAR0.40.4

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.
StatisticWikelman GonzálezErik Sabrowski
G—16
GS—0
IP—15.1
W—1
SV—0
SO—19
BB—6
ERA—4.11
WHIP—1.17
K/9—11.2
BB/9—3.5

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.
StatisticWikelman GonzálezErik Sabrowski
G16101
GS00
IP20.190.1
W15
L03
SV02
SO25137
BB1256
ERA2.661.99
WHIP1.231.13
K/911.113.6
BB/95.35.6
HR/90.40.5
WAR0.42.0

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.