DataBaseball
2026

Head to head · 2026 pitching

Max Fried vs Parker Messick

In 2026 Parker Messick has been worth 1.2 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.
StatisticMax FriedParker Messick
G2032
GS2032
IP112.2186.1
W512
SO104193
ERA2.802.56
FIP2.653.07
WHIP0.991.06
K/98.39.3
BB/92.62.4
FIP−6373
WAR3.54.7

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.
StatisticMax FriedParker Messick
G244
GS164
IP88.013.2
W30
SV00
SO8617
BB2410
ERA5.113.95
WHIP1.451.98
K/98.811.2
BB/92.56.6

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.
StatisticMax FriedParker Messick
G22039
GS20339
IP1,192.1226.0
W9715
L4610
SV00
SO1,156231
BB33055
ERA3.012.59
WHIP1.141.11
K/98.79.2
BB/92.52.2
HR/90.70.8
WAR28.35.8

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.