DataBaseball
2026

Head to head · 2026 batting

Ian Happ vs Spencer Torkelson

In 2026 the two have been worth the same 2.0 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.
StatisticIan HappSpencer Torkelson
G155159
PA636612
H119121
HR2426
RBI6877
SB41
AVG.218.230
OBP.326.331
SLG.412.435
OPS.738.766
ISO.194.205
BB%12.7%11.6%
K%29.7%31.7%
wOBA.328.339
wRC+106117
WAR2.02.0

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.
StatisticIan HappSpencer Torkelson
G1,282675
PA5,0852,730
H1,069545
2B245126
3B195
HR197106
RBI625314
BB621280
SO1,364738
SB746
AVG.243.227
SLG.442.417
WAR23.34.5

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.