DataBaseball
2026

Head to head · 2026 batting

Francisco Lindor vs Josh Naylor

In 2026 Francisco Lindor has been worth 2.3 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.

2026 season

2026 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticFrancisco LindorJosh Naylor
G104152
PA469650
H94156
HR2110
RBI4957
SB330
AVG.225.261
OBP.309.317
SLG.423.350
OPS.733.667
ISO.199.089
BB%9.8%6.9%
K%20.3%12.2%
wOBA.324.299
wRC+10590
WAR2.50.2

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.
StatisticFrancisco LindorJosh Naylor
G4131
PA179132
H4136
HR85
RBI2116
BB206
SO4222
SB22
AVG.263.288
OBP.348.318
SLG.474.472
OPS.823.790

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.
StatisticFrancisco LindorJosh Naylor
G1,639895
PA7,3173,513
H1,758853
2B351169
3B302
HR300114
RBI905492
BB634266
SO1,215536
SB21985
AVG.270.268
SLG.472.429
WAR54.89.8

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.