DataBaseball
2026

Head to head · 2026 batting

Josh Naylor vs Jeremy Peña

In 2026 Jeremy Peña has been worth 3.6 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.

2026 season

2026 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticJosh NaylorJeremy Peña
G152111
PA650483
H156124
HR1022
RBI5756
SB3012
AVG.261.277
OBP.317.325
SLG.350.477
OPS.667.802
ISO.089.199
BB%6.9%5.0%
K%12.2%24.0%
wOBA.299.348
wRC+90123
WAR0.23.8

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, batting, summed with the rates recomputed from the counts.
StatisticJosh NaylorJeremy Peña
G3128
PA132119
H3632
HR55
RBI1610
BB64
SO2226
SB20
AVG.288.286
OBP.318.316
SLG.472.473
OPS.790.789

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 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 season table.
StatisticJosh NaylorJeremy Peña
G895678
PA3,5132,868
H853718
2B169129
3B211
HR11486
RBI492303
BB266149
SO536584
SB8576
AVG.268.272
SLG.429.427
WAR9.817.7

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.