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 season

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

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.
StatisticRichard FittsTony Gonsolin
G—8
GS—4
IP—14.2
W—1
SV—0
SO—18
BB—11
ERA—9.20
WHIP—1.98
K/9—11.0
BB/9—6.8

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.
StatisticRichard FittsTony Gonsolin
G1587
GS1478
IP65.2414.1
W237
L513
SV01
SO49392
BB23152
ERA3.973.43
WHIP1.291.09
K/96.78.5
BB/93.23.3
HR/91.51.2
WAR0.15.0

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.