DataBaseball
2026

Head to head · 2026 batting

Cal Raleigh vs George Springer

So far in 2026 Cal Raleigh has been worth 0.7 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 RaleighGeorge Springer
G120120
PA503501
H79111
HR2315
RBI6853
SB212
AVG.184.249
OBP.294.323
SLG.379.408
OPS.673.731
ISO.195.159
BB%13.1%9.4%
K%31.6%18.0%
wOBA.302.325
wRC+93104
WAR1.50.8

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 RaleighGeorge Springer
G7381,481
PA2,9686,531
H5681,523
2B110263
3B224
HR176288
RBI444798
BB332684
SO8551,291
SB23127
AVG.219.267
SLG.466.473
WAR18.835.8

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.