DataBaseball
2026

Head to head · 2026 batting

Stuart Fairchild vs Jorge Mateo

So far in 2026 Stuart Fairchild 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, season in progress. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticStuart FairchildJorge Mateo
G1383
PA27207
H340
HR05
RBI118
SB219
AVG.158.207
OBP.407.252
SLG.158.321
OPS.565.574
ISO.000.114
BB%25.9%5.3%
K%51.9%30.9%
wOBA.315.256
wRC+9655
WAR0.10.0

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.
StatisticStuart FairchildJorge Mateo
G265537
PA6971,618
H135328
2B3378
3B412
HR1835
RBI69139
BB6284
SO195437
SB27125
AVG.221.219
SLG.377.358
WAR1.72.8

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.