DataBaseball
2026

Head to head · 2026 batting

Josh Naylor vs Jeremy Peña

So far in 2026 Jeremy Peña has been worth 2.9 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 batting, season in progress. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticJosh NaylorJeremy Peña
G145104
PA620451
H154115
HR1020
RBI5451
SB299
AVG.270.276
OBP.325.326
SLG.361.475
OPS.686.801
ISO.091.199
BB%6.8%5.3%
K%12.4%23.7%
wOBA.307.348
wRC+96123
WAR0.63.5

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 batting totals. AVG and SLG are recomputed from the components rather than averaged; OBP, wOBA and wRC+ need each season’s own constants and are left to the table above.
StatisticJosh NaylorJeremy Peña
G888671
PA3,4832,836
H851709
2B168129
3B211
HR11484
RBI489298
BB263149
SO534575
SB8473
AVG.269.272
SLG.432.426
WAR10.217.5

More head to heads

The same seasons, measured against somebody else.

How these are computed

wOBA uses linear weights measured from this season’s own play-by-play rather than published constants, and wRC+ is park-adjusted against that 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.