DataBaseball
2026

Head to head · Career batting

David Ortiz vs Mike Trout

In 2016 Mike Trout has been worth 3.6 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.

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.
StatisticDavid OrtizMike Trout
G1,6741,788
PA7,2207,837
H1,7751,878
2B438351
3B1155
HR411426
RBI1,2901,072
BB1,0001,174
SO1,1951,828
SB13225
AVG.289.290
SLG.565.558
WAR48.889.9

2016 season

2016 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDavid OrtizMike Trout
G151159
PA626681
H169173
HR3829
RBI127100
SB230
AVG.315.315
OBP.401.441
SLG.620.550
OPS1.021.991
ISO.305.235
BB%12.8%17.0%
K%13.7%20.1%
wOBA.425.423
wRC+161173
WAR5.18.7

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.
StatisticDavid OrtizMike Trout
G503
PA21915
H491
HR101
RBI301
BB413
SO372
SB00
AVG.283.083
OBP.416.267
SLG.549.333
OPS.965.600

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.