DataBaseball
2026

Head to head · Career batting

David Wright vs Christian Yelich

In 2018 Christian Yelich has been worth 7.9 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 WrightChristian Yelich
G1,5161,731
PA6,5897,527
H1,7001,845
2B373350
3B2537
HR228245
RBI930910
BB748883
SO1,2521,683
SB190232
AVG.296.282
SLG.489.459
WAR51.948.5

2018 season

2018 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticDavid WrightChristian Yelich
G2146
PA3651
H0187
HR036
RBI0110
SB022
AVG.000.326
OBP.333.402
SLG.000.598
OPS.3331.000
ISO.000.272
BB%33.3%10.4%
K%0.0%20.7%
wOBA.235.427
wRC+46175
WAR-0.07.9

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 WrightChristian Yelich
G2439
PA106170
H1833
HR22
RBI138
BB1526
SO2839
SB19
AVG.198.232
OBP.311.359
SLG.319.324
OPS.630.683

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.