DataBaseball
2026

Head to head · Career batting

David Ortiz vs David Wright

In 2016 David Ortiz has been worth 4.2 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 OrtizDavid Wright
G1,6741,516
PA7,2206,589
H1,7751,700
2B438373
3B1125
HR411228
RBI1,290930
BB1,000748
SO1,1951,252
SB13190
AVG.289.296
SLG.565.489
WAR48.851.9

2016 season

2016 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDavid OrtizDavid Wright
G15137
PA626164
H16931
HR387
RBI12714
SB23
AVG.315.226
OBP.401.350
SLG.620.438
OPS1.021.788
ISO.305.212
BB%12.8%15.9%
K%13.7%33.5%
wOBA.425.348
wRC+161119
WAR5.10.9

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 OrtizDavid Wright
G5024
PA219106
H4918
HR102
RBI3013
BB4115
SO3728
SB01
AVG.283.198
OBP.416.311
SLG.549.319
OPS.965.630

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.