DataBaseball
2026

Head to head · 2025 pitching

Richard Fitts vs Tony Gonsolin

In 2025 the two have been worth the same -0.3 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.
StatisticRichard FittsTony Gonsolin
G117
GS107
IP45.036.0
W23
SO4038
ERA5.005.00
FIP5.806.02
WHIP1.311.42
K/98.09.5
BB/93.24.5
FIP−140145
WAR-0.3-0.3

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.
StatisticRichard FittsTony Gonsolin
G1586
GS1478
IP65.2411.2
W237
L513
SV01
SO49387
BB23149
ERA3.973.34
WHIP1.291.08
K/96.78.5
BB/93.23.3
HR/91.51.2
WAR0.15.1

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.