DataBaseball
2026

Head to head · 2026 pitching

Michael Wacha vs Bryan Woo

In 2026 Bryan Woo has been worth 1.6 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.
StatisticMichael WachaBryan Woo
G3230
GS3230
IP200.2173.0
W912
SO158175
ERA3.324.01
FIP4.383.25
WHIP1.111.10
K/97.19.1
BB/92.42.0
FIP−10578
WAR2.23.8

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.
StatisticMichael WachaBryan Woo
G102
GS80
IP46.24.1
W40
SV00
SO472
BB203
ERA5.216.23
WHIP1.351.62
K/99.14.2
BB/93.96.2

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.
StatisticMichael WachaBryan Woo
G341100
GS320100
IP1,828.0568.2
W12040
L8525
SV00
SO1,574567
BB557119
ERA3.833.45
WHIP1.261.02
K/97.79.0
BB/92.71.9
HR/91.11.1
WAR24.310.6

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.