DataBaseball
2026

Head to head · 2025 pitching

John Curtiss vs Dylan Dodd

In 2025 Dylan Dodd has been worth 0.1 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.

2025 season

2025 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJohn CurtissDylan Dodd
G3028
GS00
IP36.235.0
W31
SO2430
ERA3.933.60
FIP4.013.79
WHIP0.930.94
K/95.97.7
BB/91.21.3
FIP−9691
WAR0.30.4

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.
StatisticJohn CurtissDylan Dodd
G93
GS11
IP10.04.2
W10
SV00
SO96
BB50
ERA6.301.93
WHIP1.900.86
K/98.111.6
BB/94.50.0

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.
StatisticJohn CurtissDylan Dodd
G12584
GS57
IP145.1121.0
W97
L43
SV32
SO128100
BB3732
ERA4.034.39
WHIP1.181.22
K/97.97.4
BB/92.32.4
HR/91.31.6
WAR1.10.4

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.