DataBaseball
2026

Head to head · 2025 batting

Bo Naylor vs Trey Sweeney

In 2025 Bo Naylor has been worth 1.5 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 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticBo NaylorTrey Sweeney
G119108
PA414326
H7058
HR146
RBI4732
SB13
AVG.195.196
OBP.282.258
SLG.379.291
OPS.661.548
ISO.184.095
BB%10.9%8.0%
K%23.9%28.2%
wOBA.291.246
wRC+8351
WAR1.2-0.3

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 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.
StatisticBo NaylorTrey Sweeney
G336141
PA1,139445
H20282
2B4711
3B32
HR4110
RBI12849
BB11133
SO303124
SB125
AVG.200.202
SLG.374.313
WAR2.9-0.0

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.