DataBaseball
2026

Head to head · 2026 batting

Tyler O'Neill vs Mark Vientos

So far in 2026 Tyler O'Neill has been worth 0.7 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.
StatisticTyler O'NeillMark Vientos
G8382
PA260277
H4956
HR1013
RBI2339
SB10
AVG.212.218
OBP.300.267
SLG.377.405
OPS.677.672
ISO.165.187
BB%10.4%5.4%
K%27.7%23.8%
wOBA.304.293
wRC+9283
WAR0.2-0.5

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'NeillMark Vientos
G712393
PA2,5781,468
H547317
2B9958
3B43
HR12867
RBI327196
BB23893
SO773399
SB492
AVG.239.235
SLG.454.432
WAR9.82.9

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.