DataBaseball
2026

Head to head · Career batting

Robinson Canó vs Christian Yelich

In 2022 Christian Yelich has been worth 3.9 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.
StatisticRobinson CanóChristian Yelich
G2,2631,731
PA9,5507,527
H2,6391,845
2B572350
3B3337
HR335245
RBI1,306910
BB620883
SO1,2141,683
SB51232
AVG.301.282
SLG.488.459
WAR63.148.5

2022 season

2022 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticRobinson CanóChristian Yelich
G32154
PA104671
H15145
HR114
RBI457
SB019
AVG.150.252
OBP.183.355
SLG.190.383
OPS.373.738
ISO.040.130
BB%3.8%13.1%
K%24.0%24.1%
wOBA.170.330
wRC+-0115
WAR-0.93.0

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.
StatisticRobinson CanóChristian Yelich
G5139
PA217170
H4533
HR82
RBI338
BB1126
SO2839
SB09
AVG.222.232
OBP.267.359
SLG.419.324
OPS.686.683

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.