DataBaseball
2026

Head to head · 2026 batting

Hunter Feduccia vs Connor Wong

In 2026 the two have been worth the same 0.6 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.
StatisticHunter FeducciaConnor Wong
G8871
PA251238
H4849
HR34
RBI1925
SB03
AVG.221.233
OBP.312.308
SLG.313.348
OPS.625.655
ISO.092.114
BB%11.2%7.1%
K%23.9%23.9%
wOBA.289.297
wRC+7984
WAR0.60.6

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.
StatisticHunter FeducciaConnor Wong
G129395
PA3701,386
H65306
2B1473
3B14
HR327
RBI28128
BB4589
SO91370
SB121
AVG.205.243
SLG.284.372
WAR0.44.4

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.