DataBaseball
2026

Head to head · 2026 batting

Wenceel Pérez vs Tommy Pham

So far in 2026 the two have been worth the same -0.2 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, season in progress. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticWenceel PérezTommy Pham
G5311
PA17525
H292
HR71
RBI173
SB30
AVG.180.091
OBP.246.200
SLG.348.227
OPS.594.427
ISO.168.136
BB%8.0%12.0%
K%16.6%40.0%
wOBA.264.204
wRC+6320
WAR-0.2-0.2

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.
StatisticWenceel PérezTommy Pham
G2611,225
PA9834,851
H2071,083
2B37200
3B1125
HR29150
RBI97525
BB77542
SO2081,130
SB20131
AVG.232.256
SLG.395.421
WAR1.718.5

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.