DataBaseball
2026

Head to head · 2026 pitching

Nathan Eovaldi vs Bryan Woo

In 2026 Bryan Woo has been worth 2.3 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 season

2026 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticNathan EovaldiBryan Woo
G2730
GS2330
IP145.2173.0
W1112
SO144175
ERA4.204.01
FIP4.193.25
WHIP1.221.10
K/98.99.1
BB/92.22.0
FIP−10078
WAR1.53.8

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.
StatisticNathan EovaldiBryan Woo
G172
GS120
IP79.24.1
W90
SV00
SO822
BB183
ERA3.056.23
WHIP1.041.62
K/99.34.2
BB/92.06.2

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.
StatisticNathan EovaldiBryan Woo
G343100
GS320100
IP1,848.0568.2
W11340
L9425
SV00
SO1,631567
BB501119
ERA3.923.45
WHIP1.251.02
K/97.99.0
BB/92.41.9
HR/91.01.1
WAR28.710.6

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.