DataBaseball
2026

Head to head · 2026 Wild Card Series pitching

Matthew Boyd vs Mason Miller

In 2026 Mason Miller has been worth 1.3 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.

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

2026 Wild Card Series.
StatisticMatthew BoydMason Miller
G11
GS10
IP4.01.0
W00
SV01
SO42
BB10
ERA9.000.00
WHIP1.501.00
K/99.018.0
BB/92.30.0
Every published postseason, pitching, summed with the rates recomputed from the counts.
StatisticMatthew BoydMason Miller
G85
GS70
IP25.26.1
W00
SV01
SO2713
BB134
ERA2.812.84
WHIP1.401.26
K/99.518.5
BB/94.65.7

2026 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticMatthew BoydMason Miller
G2266
GS220
IP126.270.0
W105
SO96129
ERA3.911.67
FIP4.221.17
WHIP1.210.90
K/96.816.6
BB/92.83.3
FIP−10128
WAR1.52.8

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.
StatisticMatthew BoydMason Miller
G235191
GS2216
IP1,214.2230.0
W708
L829
SV088
SO1,141375
BB37591
ERA4.502.47
WHIP1.270.94
K/98.514.7
BB/92.83.6
HR/91.40.6
WAR12.67.1

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.