DataBaseball
2026

Head to head · 2025 pitching

Tommy Kahnle vs Tayler Scott

In 2025 Tommy Kahnle has been worth 0.5 more 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.
StatisticTommy KahnleTayler Scott
G6624
GS00
IP63.027.1
W11
SO5024
ERA4.437.90
FIP4.726.32
WHIP1.301.90
K/97.17.9
BB/94.45.9
FIP−114152
WAR0.0-0.5

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.
StatisticTommy KahnleTayler Scott
G410125
GS05
IP377.0142.0
W98
L186
SV170
SO444139
BB17980
ERA3.605.51
WHIP1.271.63
K/910.68.8
BB/94.35.1
HR/91.01.5
WAR4.1-0.9

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.