DataBaseball
2026

Head to head · 2026 pitching

Franco Aleman vs Mitch Farris

In 2026 the two have been worth the same 0.0 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 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticFranco AlemanMitch Farris
G2133
GS00
IP22.160.0
W01
SO2863
ERA4.434.05
FIP4.804.67
WHIP1.571.48
K/911.39.4
BB/94.04.3
FIP−115112
WAR-0.0-0.0

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.
StatisticFranco AlemanMitch Farris
G2138
GS05
IP22.184.1
W02
L17
SV01
SO2887
BB1040
ERA4.434.80
WHIP1.571.47
K/911.39.3
BB/94.04.3
HR/91.61.5
WAR-0.00.1

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.