DataBaseball
2026

Head to head · 2026 batting

Bo Naylor vs Tyler O'Neill

So far in 2026 Tyler O'Neill has been worth 0.5 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.

2026 batting, season in progress. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticBo NaylorTyler O'Neill
G2983
PA98260
H1449
HR310
RBI1023
SB01
AVG.154.212
OBP.214.300
SLG.275.377
OPS.489.677
ISO.121.165
BB%7.1%10.4%
K%24.5%27.7%
wOBA.221.304
wRC+3292
WAR-0.30.2

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 NaylorTyler O'Neill
G336712
PA1,1392,578
H202547
2B4799
3B34
HR41128
RBI128327
BB111238
SO303773
SB1249
AVG.200.239
SLG.374.454
WAR2.99.8

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.