DataBaseball
2026

Head to head · 2026 pitching

Matthew Boyd vs Max Fried

In 2026 Max Fried has been worth 2.0 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.
StatisticMatthew BoydMax Fried
G2220
GS2220
IP126.2112.2
W105
SO96104
ERA3.912.80
FIP4.222.65
WHIP1.210.99
K/96.88.3
BB/92.82.6
FIP−10163
WAR1.53.5

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.
StatisticMatthew BoydMax Fried
G824
GS716
IP25.288.0
W03
SV00
SO2786
BB1324
ERA2.815.11
WHIP1.401.45
K/99.58.8
BB/94.62.5

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.
StatisticMatthew BoydMax Fried
G235220
GS221203
IP1,214.21,192.1
W7097
L8246
SV00
SO1,1411,156
BB375330
ERA4.503.01
WHIP1.271.14
K/98.58.7
BB/92.82.5
HR/91.40.7
WAR12.628.3

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.