DataBaseball
2026

Head to head · 2025 batting

Bryan De La Cruz vs Trey Sweeney

In 2025 the two have been worth the same -0.3 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.
StatisticBryan De La CruzTrey Sweeney
G16108
PA50326
H958
HR06
RBI032
SB13
AVG.191.196
OBP.240.258
SLG.213.291
OPS.453.548
ISO.021.095
BB%6.0%8.0%
K%36.0%28.2%
wOBA.210.246
wRC+2751
WAR-0.3-0.3

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.
StatisticBryan De La CruzTrey Sweeney
G501141
PA1,946445
H45682
2B8811
3B22
HR6010
RBI22049
BB11333
SO489124
SB155
AVG.253.202
SLG.404.313
WAR1.7-0.0

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.