DataBaseball
2026

Head to head · 2025 pitching

Joe Boyle vs Luis Ortiz

In 2025 Luis Ortiz has been worth 0.6 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 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJoe BoyleLuis Ortiz
G1316
GS916
IP52.088.2
W14
SO5896
ERA4.674.36
FIP4.194.18
WHIP1.371.38
K/910.09.7
BB/94.84.3
FIP−101101
WAR0.51.1

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.
StatisticJoe BoyleLuis Ortiz
G3375
GS2550
IP134.2327.0
W616
L1122
SV01
SO150279
BB82142
ERA5.014.05
WHIP1.401.34
K/910.07.7
BB/95.53.9
HR/90.81.2
WAR1.62.0

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.