DataBaseball
2026

Head to head · 2026 batting

Cal Raleigh vs Davis Schneider

In 2026 Cal Raleigh has been worth 1.4 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.
StatisticCal RaleighDavis Schneider
G12662
PA530156
H8218
HR235
RBI6916
SB21
AVG.182.145
OBP.296.310
SLG.368.315
OPS.664.624
ISO.186.169
BB%13.6%18.6%
K%30.9%32.7%
wOBA.299.294
wRC+9083
WAR1.50.1

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.
StatisticCal RaleighDavis Schneider
G744306
PA2,995978
H571170
2B11042
3B22
HR17637
RBI445113
BB338133
SO860298
SB2311
AVG.218.206
SLG.464.396
WAR18.83.3

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.