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 season

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

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 SorokaBryan Woo
G32
GS10
IP8.24.1
W00
SV00
SO82
BB23
ERA4.156.23
WHIP1.041.62
K/98.34.2
BB/92.16.2

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 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.