DataBaseball
2026

Head to head · 2025 batting

Paul DeJong vs Michael A. Taylor

In 2025 Paul DeJong has been worth 0.6 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.

2025 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticPaul DeJongMichael A. Taylor
G55112
PA208325
H4459
HR69
RBI2335
SB48
AVG.228.200
OBP.269.259
SLG.373.366
OPS.642.625
ISO.145.166
BB%5.3%7.1%
K%33.7%33.8%
wOBA.279.272
wRC+7570
WAR0.2-0.4

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.
StatisticPaul DeJongMichael A. Taylor
G9091,111
PA3,5003,758
H723799
2B147153
3B415
HR146108
RBI423383
BB247260
SO9751,147
SB29128
AVG.229.232
SLG.416.380
WAR11.95.3

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.