DataBaseball
2026

Head to head · 2026 batting

Ronald Acuña Jr. vs Wyatt Langford

In 2026 Ronald Acuña Jr. has been worth 0.3 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.
StatisticRonald Acuña Jr.Wyatt Langford
G107110
PA469471
H10499
HR2017
RBI5544
SB2115
AVG.255.241
OBP.345.335
SLG.451.423
OPS.796.759
ISO.196.182
BB%11.3%11.7%
K%22.0%22.7%
wOBA.350.337
wRC+120116
WAR2.32.0

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.
StatisticRonald Acuña Jr.Wyatt Langford
G924377
PA4,1351,601
H1,017343
2B17570
3B147
HR20655
RBI514180
BB492180
SO924373
SB22656
AVG.285.245
SLG.516.423
WAR34.47.4

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.