DataBaseball
2026

Head to head · 2026 pitching

Justin Hagenman vs Bryan King

In 2026 the two have been worth the same -0.1 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.
StatisticJustin HagenmanBryan King
G360
GS11
IP8.060.2
W03
SO451
ERA3.385.19
FIP6.104.78
WHIP1.251.52
K/94.57.6
BB/92.33.4
FIP−146114
WAR-0.1-0.1

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.
StatisticJustin HagenmanBryan King
G—2
GS—0
IP—1.0
W—0
SV—0
SO—2
BB—0
ERA—18.00
WHIP—5.00
K/9—18.0
BB/9—0.0

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.
StatisticJustin HagenmanBryan King
G12156
GS21
IP31.2155.0
W09
L110
SV18
SO27152
BB444
ERA4.263.66
WHIP1.141.25
K/97.78.8
BB/91.12.6
HR/91.71.2
WAR0.21.3

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.