DataBaseball
2026

Head to head · 2026 pitching

Michael Wacha vs Bryan Woo

So far in 2026 Bryan Woo 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.

2026 pitching, season in progress. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticMichael WachaBryan Woo
G3029
GS3029
IP188.2167.2
W912
SO149167
ERA3.343.92
FIP4.273.27
WHIP1.101.08
K/97.19.0
BB/92.31.9
FIP−10278
WAR2.33.6

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2015 begins at 2015, 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 table above.
StatisticMichael WachaBryan Woo
G30599
GS29099
IP1,644.1563.1
W11140
L7724
SV00
SO1,406559
BB500116
ERA3.913.42
WHIP1.271.01
K/97.78.9
BB/92.71.9
HR/91.11.1
WAR21.010.4

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.