DataBaseball
2026

Head to head · Career batting

David Ortiz vs Christian Yelich

In 2016 David Ortiz 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.

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 OrtizChristian Yelich
G1,6741,731
PA7,2207,527
H1,7751,845
2B438350
3B1137
HR411245
RBI1,290910
BB1,000883
SO1,1951,683
SB13232
AVG.289.282
SLG.565.459
WAR48.848.5

2016 season

2016 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDavid OrtizChristian Yelich
G151154
PA626659
H169172
HR3821
RBI12798
SB29
AVG.315.298
OBP.401.376
SLG.620.483
OPS1.021.859
ISO.305.185
BB%12.8%10.9%
K%13.7%20.9%
wOBA.425.371
wRC+161140
WAR5.14.6

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 OrtizChristian Yelich
G5039
PA219170
H4933
HR102
RBI308
BB4126
SO3739
SB09
AVG.283.232
OBP.416.359
SLG.549.324
OPS.965.683

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.