DataBaseball
2026

Head to head · 2026 batting

Cal Raleigh vs Giancarlo Stanton

So far in 2026 Cal Raleigh has been worth 1.5 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.
StatisticCal RaleighGiancarlo Stanton
G12024
PA50396
H7923
HR233
RBI6814
SB21
AVG.184.256
OBP.294.302
SLG.379.422
OPS.673.724
ISO.195.167
BB%13.1%6.3%
K%31.6%30.2%
wOBA.302.317
wRC+9396
WAR1.50.0

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.
StatisticCal RaleighGiancarlo Stanton
G7381,116
PA2,9684,633
H5681,023
2B110181
3B23
HR176302
RBI444784
BB332493
SO8551,346
SB2313
AVG.219.251
SLG.466.519
WAR18.822.2

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.