DataBaseball
2026

Head to head · 2026 pitching

Ryan Borucki vs Tommy Kahnle

In 2026 Ryan Borucki has been worth 0.1 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.

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticRyan BoruckiTommy Kahnle
G218
GS00
IP23.29.0
W10
SO155
ERA4.948.00
FIP4.886.88
WHIP1.522.00
K/95.75.0
BB/93.46.0
FIP−117165
WAR-0.1-0.2

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.
StatisticRyan BoruckiTommy Kahnle
G131
GS00
IP0.232.1
W02
SV02
SO131
BB015
ERA0.003.06
WHIP0.001.18
K/913.58.6
BB/90.04.2

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.
StatisticRyan BoruckiTommy Kahnle
G208464
GS210
IP280.0445.2
W1611
L1319
SV017
SO229507
BB106210
ERA4.343.70
WHIP1.311.25
K/97.410.2
BB/93.44.2
HR/91.11.0
WAR1.74.5

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.