DataBaseball
2026

Head to head · 2026 batting

Cal Raleigh vs Giancarlo Stanton

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 season

2026 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticCal RaleighGiancarlo Stanton
G12624
PA53096
H8223
HR233
RBI6914
SB21
AVG.182.256
OBP.296.302
SLG.368.422
OPS.664.724
ISO.186.167
BB%13.6%6.3%
K%30.9%30.2%
wOBA.299.317
wRC+9096
WAR1.50.0

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

Every published postseason, batting, summed with the rates recomputed from the counts.
StatisticCal RaleighGiancarlo Stanton
G1750
PA78204
H1945
HR618
RBI1244
BB1020
SO2551
SB02
AVG.279.251
OBP.372.319
SLG.588.598
OPS.960.916

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2005 begins at 2005, 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 season table.
StatisticCal RaleighGiancarlo Stanton
G7441,750
PA2,9957,273
H5711,642
2B110319
3B211
HR176456
RBI4451,183
BB338811
SO8602,088
SB2343
AVG.218.258
SLG.464.527
WAR18.842.9

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.