DataBaseball
2026

Head to head · Career batting

Robinson Canó vs Francisco Lindor

In 2022 Francisco Lindor has been worth 6.6 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 CanóFrancisco Lindor
G2,2631,639
PA9,5507,317
H2,6391,758
2B572351
3B3330
HR335300
RBI1,306905
BB620634
SO1,2141,215
SB51219
AVG.301.270
SLG.488.472
WAR63.154.8

2022 season

2022 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticRobinson CanóFrancisco Lindor
G32161
PA104706
H15170
HR126
RBI4107
SB016
AVG.150.270
OBP.183.339
SLG.190.449
OPS.373.788
ISO.040.179
BB%3.8%8.4%
K%24.0%18.8%
wOBA.170.343
wRC+-0127
WAR-0.95.7

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 CanóFrancisco Lindor
G5141
PA217179
H4541
HR88
RBI3321
BB1120
SO2842
SB02
AVG.222.263
OBP.267.348
SLG.419.474
OPS.686.823

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.