DataBaseball
2026

Head to head · 2026 batting

Tyler O'Neill vs Brandon Valenzuela

In 2026 Brandon Valenzuela has been worth 0.9 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. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticTyler O'NeillBrandon Valenzuela
G8379
PA260271
H4954
HR109
RBI2324
SB12
AVG.212.226
OBP.300.311
SLG.377.377
OPS.677.688
ISO.165.151
BB%10.4%10.7%
K%27.7%25.5%
wOBA.304.309
wRC+9393
WAR0.21.1

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.
StatisticTyler O'NeillBrandon Valenzuela
G71279
PA2,578271
H54754
2B999
3B40
HR1289
RBI32724
BB23829
SO77369
SB492
AVG.239.226
SLG.454.377
WAR9.81.1

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.