DataBaseball
2026

Head to head · Career batting

Adrian Beltré vs David Ortiz

In 2016 David Ortiz has been worth 0.4 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.
StatisticAdrian BeltréDavid Ortiz
G1,9651,674
PA8,3127,220
H2,2171,775
2B460438
3B2011
HR330411
RBI1,1971,290
BB5621,000
SO1,1421,195
SB5913
AVG.291.289
SLG.487.565
WAR48.548.8

2016 season

2016 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticAdrian BeltréDavid Ortiz
G153151
PA640626
H175169
HR3238
RBI104127
SB12
AVG.300.315
OBP.358.401
SLG.521.620
OPS.8791.021
ISO.221.305
BB%7.5%12.8%
K%10.3%13.7%
wOBA.376.425
wRC+131161
WAR4.75.1

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.
StatisticAdrian BeltréDavid Ortiz
G2450
PA102219
H2549
HR510
RBI1030
BB441
SO2237
SB00
AVG.260.283
OBP.304.416
SLG.479.549
OPS.783.965

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.