DataBaseball
2026

Head to head · 2025 pitching

Tony Gonsolin vs Landon Knack

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.
StatisticTony GonsolinLandon Knack
G710
GS77
IP36.042.1
W33
SO3842
ERA5.004.89
FIP6.025.71
WHIP1.421.39
K/99.58.9
BB/94.54.0
FIP−145137
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.
StatisticTony GonsolinLandon Knack
G8629
GS7819
IP411.2123.0
W377
L137
SV13
SO387119
BB14939
ERA3.344.10
WHIP1.081.21
K/98.58.7
BB/93.32.9
HR/91.22.0
WAR5.1-0.4

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.