DataBaseball
2026

Head to head · 2026 pitching

Matthew Boyd vs Ranger Suarez

In 2026 Ranger Suarez has been worth 2.1 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 BoydRanger Suarez
G2228
GS2228
IP126.2148.1
W108
SO96140
ERA3.913.22
FIP4.223.16
WHIP1.211.19
K/96.88.5
BB/92.82.8
FIP−10176
WAR1.53.6

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.
StatisticMatthew BoydRanger Suarez
G811
GS78
IP25.242.2
W04
SV01
SO2744
BB1313
ERA2.811.48
WHIP1.401.05
K/99.59.3
BB/94.62.7

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 BoydRanger Suarez
G235215
GS221147
IP1,214.2910.1
W7061
L8242
SV04
SO1,141845
BB375286
ERA4.503.35
WHIP1.271.26
K/98.58.4
BB/92.82.8
HR/91.40.8
WAR12.617.9

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.