DataBaseball
2026

Head to head · 2026 batting

David Fry vs Tyler O'Neill

In 2026 the two have been worth the same 0.2 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. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDavid FryTyler O'Neill
G9083
PA214260
H3749
HR810
RBI2023
SB01
AVG.201.212
OBP.313.300
SLG.364.377
OPS.677.677
ISO.163.165
BB%13.1%10.4%
K%27.6%27.7%
wOBA.307.304
wRC+9193
WAR0.20.2

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.
StatisticDavid FryTyler O'Neill
G322712
PA8762,578
H174547
2B3499
3B14
HR34128
RBI109327
BB87238
SO231773
SB749
AVG.227.239
SLG.407.454
WAR1.89.8

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.