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 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

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.
StatisticWikelman GonzálezErik Sabrowski
G1698
GS00
IP20.187.1
W15
L03
SV02
SO25131
BB1254
ERA2.662.06
WHIP1.231.13
K/911.113.5
BB/95.35.6
HR/90.40.5
WAR0.41.8

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.