DataBaseball
2026

Head to head · 2026 batting

Matt Shaw vs George Springer

In 2026 Matt Shaw has been worth 0.1 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.
StatisticMatt ShawGeorge Springer
G71125
PA202517
H41115
HR515
RBI2454
SB412
AVG.237.249
OBP.327.321
SLG.410.405
OPS.737.726
ISO.173.156
BB%10.4%9.1%
K%17.3%18.4%
wOBA.328.323
wRC+106103
WAR0.80.7

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.
StatisticMatt ShawGeorge Springer
G1941,486
PA6396,547
H1301,527
2B30264
3B624
HR18288
RBI68799
BB59684
SO1291,296
SB21127
AVG.230.267
SLG.399.472
WAR2.335.7

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.