DataBaseball
2026

Head to head · 2026 batting

Dylan Moore vs Tim Tawa

In 2026 Tim Tawa 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 season

2026 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDylan MooreTim Tawa
G1297
PA15351
H075
HR011
RBI042
SB18
AVG.000.240
OBP.200.297
SLG.000.393
OPS.200.689
ISO.000.153
BB%20.0%7.7%
K%40.0%23.9%
wOBA.145.304
wRC+-2090
WAR-0.20.3

Postseason

Box-score figures only: October is kept out of the season constants, so there is no wOBA, FIP or dbWAR for it.

Every published postseason, batting, summed with the rates recomputed from the counts.
StatisticDylan MooreTim Tawa
G3—
PA9—
H1—
HR0—
RBI1—
BB2—
SO4—
SB0—
AVG.143—
OBP.333—
SLG.143—
OPS.476—

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2005 begins at 2005, 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 season table.
StatisticDylan MooreTim Tawa
G652166
PA1,937576
H340115
2B8221
3B111
HR6318
RBI19860
BB20547
SO589148
SB11916
AVG.204.225
SLG.380.375
WAR5.60.3

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.