DataBaseball
2026

Head to head · 2026 batting

TJ Friedl vs Jorge Polanco

In 2026 TJ Friedl has been worth 0.5 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 FriedlJorge Polanco
G8137
PA272145
H4120
HR42
RBI136
SB50
AVG.172.148
OBP.255.201
SLG.255.230
OPS.510.431
ISO.084.081
BB%8.1%6.2%
K%23.2%24.8%
wOBA.239.198
wRC+4616
WAR-0.8-1.3

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 FriedlJorge Polanco
G5391,117
PA2,1484,659
H4581,081
2B66226
3B1719
HR58156
RBI214573
BB200400
SO362894
SB6061
AVG.246.259
SLG.394.434
WAR10.022.1

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.