DataBaseball
2026

Head to head · 2026 pitching

Justin Bruihl vs Wandy Peralta

In 2026 the two have been worth the same 0.6 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.
StatisticJustin BruihlWandy Peralta
G7365
GS05
IP77.277.1
W13
SO5350
ERA3.713.61
FIP3.954.00
WHIP1.331.32
K/96.15.8
BB/93.22.7
FIP−9596
WAR0.60.6

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.
StatisticJustin BruihlWandy Peralta
G410
GS00
IP2.111.1
W00
SV01
SO512
BB01
ERA7.713.18
WHIP1.711.24
K/919.39.5
BB/90.00.8

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.
StatisticJustin BruihlWandy Peralta
G167567
GS27
IP167.1533.0
W331
L324
SV113
SO122426
BB60223
ERA4.253.75
WHIP1.351.34
K/96.67.2
BB/93.23.8
HR/90.81.0
WAR0.82.4

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.