DataBaseball
2026

Head to head · 2026 batting

Thomas Saggese vs Daniel Schneemann

In 2026 the two have been worth the same 0.1 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.
StatisticThomas SaggeseDaniel Schneemann
G5388
PA180286
H3855
HR47
RBI1430
SB47
AVG.235.210
OBP.294.276
SLG.352.332
OPS.646.608
ISO.117.122
BB%7.2%8.4%
K%27.2%29.4%
wOBA.289.274
wRC+8268
WAR0.10.1

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.
StatisticThomas SaggeseDaniel Schneemann
G148288
PA527929
H119175
2B2439
3B13
HR724
RBI4393
BB3187
SO146271
SB719
AVG.245.210
SLG.342.350
WAR0.71.5

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.