DataBaseball
2026

Head to head · Career batting

Xander Bogaerts vs David Ortiz

In 2016 David Ortiz has been worth 0.3 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.
StatisticXander BogaertsDavid Ortiz
G1,8101,674
PA7,6757,220
H1,9421,775
2B402438
3B1911
HR210411
RBI8951,290
BB6701,000
SO1,3791,195
SB14813
AVG.283.289
SLG.438.565
WAR50.148.8

2016 season

2016 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticXander BogaertsDavid Ortiz
G157151
PA719626
H192169
HR2138
RBI89127
SB132
AVG.294.315
OBP.356.401
SLG.446.620
OPS.8021.021
ISO.152.305
BB%8.1%12.8%
K%17.1%13.7%
wOBA.351.425
wRC+113161
WAR4.85.1

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.
StatisticXander BogaertsDavid Ortiz
G6050
PA242219
H5149
HR710
RBI2330
BB2341
SO4937
SB10
AVG.235.283
OBP.306.416
SLG.387.549
OPS.693.965

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.