DataBaseball
2026

Head to head · 2026 pitching

Jose Franco vs Richard Lovelady

In 2026 the two have been worth the same -0.3 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 pitching. The stronger figure in each row is highlighted — for ERA, FIP, WHIP and walks that is the lower one.
StatisticJose FrancoRichard Lovelady
G1038
GS06
IP20.135.0
W13
SO1531
ERA4.434.11
FIP5.915.59
WHIP1.721.86
K/96.68.0
BB/97.16.2
FIP−141134
WAR-0.3-0.3

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.
StatisticJose FrancoRichard Lovelady
G10156
GS06
IP20.1146.0
W18
L017
SV07
SO15133
BB1666
ERA4.435.05
WHIP1.721.47
K/96.68.2
BB/97.14.1
HR/91.31.2
WAR-0.30.0

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.