DataBaseball
2026

Head to head · 2026 batting

TJ Friedl vs Ke'Bryan Hayes

In 2026 TJ Friedl 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.
StatisticTJ FriedlKe'Bryan Hayes
G8175
PA272242
H4132
HR45
RBI139
SB51
AVG.172.141
OBP.255.194
SLG.255.225
OPS.510.419
ISO.084.084
BB%8.1%5.4%
K%23.2%19.8%
wOBA.239.193
wRC+4613
WAR-0.8-1.7

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.
StatisticTJ FriedlKe'Bryan Hayes
G539695
PA2,1482,784
H458623
2B66109
3B1718
HR5847
RBI214234
BB200188
SO362567
SB6064
AVG.246.243
SLG.394.354
WAR10.03.9

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.