DataBaseball
2026

Head to head · 2026 batting

Tyler Freeman vs Jeff McNeil

In 2026 Jeff McNeil has been worth 0.9 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.
StatisticTyler FreemanJeff McNeil
G77144
PA288520
H63126
HR39
RBI2359
SB68
AVG.247.264
OBP.317.313
SLG.314.368
OPS.630.681
ISO.067.105
BB%3.8%6.0%
K%11.8%11.3%
wOBA.291.303
wRC+7779
WAR-0.30.6

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.
StatisticTyler FreemanJeff McNeil
G3801,057
PA1,3534,141
H2941,046
2B50216
3B418
HR1689
RBI107426
BB87292
SO179489
SB4145
AVG.247.281
SLG.336.420
WAR1.221.8

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.