DataBaseball
2026

Head to head · 2026 pitching

Michael Soroka vs Bryan Woo

In 2026 Bryan Woo has been worth 1.1 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 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticMichael SorokaBryan Woo
G2230
GS2130
IP116.0173.0
W912
SO114175
ERA3.414.01
FIP3.193.25
WHIP1.091.10
K/98.89.1
BB/92.32.0
FIP−7678
WAR2.73.8

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 SorokaBryan Woo
G113100
GS90100
IP531.2568.2
W2940
L3125
SV00
SO493567
BB169119
ERA3.763.45
WHIP1.191.02
K/98.39.0
BB/92.91.9
HR/91.01.1
WAR8.110.6

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.