DataBaseball
2026

Head to head · 2026 pitching

Mitch Farris vs Andrew Nardi

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.
StatisticMitch FarrisAndrew Nardi
G3325
GS00
IP60.022.2
W13
SO6327
ERA4.055.16
FIP4.674.60
WHIP1.481.41
K/99.410.7
BB/94.34.4
FIP−112110
WAR-0.00.0

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.
StatisticMitch FarrisAndrew Nardi
G38160
GS50
IP84.1144.1
W215
L77
SV13
SO87194
BB4064
ERA4.804.61
WHIP1.471.38
K/99.312.1
BB/94.34.0
HR/91.51.4
WAR0.11.2

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.