DataBaseball
2026

Head to head · 2025 batting

Sam Hilliard vs Tyler O'Neill

In 2025 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.

2025 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticSam HilliardTyler O'Neill
G1954
PA61209
H1036
HR29
RBI326
SB24
AVG.196.199
OBP.328.292
SLG.412.392
OPS.740.684
ISO.216.193
BB%16.4%10.5%
K%37.7%24.4%
wOBA.329.299
wRC+9887
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.
StatisticSam HilliardTyler O'Neill
G301712
PA9362,578
H181547
2B3299
3B94
HR44128
RBI107327
BB94238
SO321773
SB2649
AVG.218.239
SLG.437.454
WAR2.79.8

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.