DataBaseball
2026

Head to head · 2026 batting

Francisco Lindor vs Josh Naylor

So far in 2026 Francisco Lindor has been worth 1.8 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 batting, season in progress. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticFrancisco LindorJosh Naylor
G97145
PA435620
H88154
HR2010
RBI4854
SB329
AVG.227.270
OBP.313.325
SLG.432.361
OPS.744.686
ISO.204.091
BB%9.9%6.8%
K%20.2%12.4%
wOBA.329.307
wRC+10896
WAR2.40.6

Career

Totalled over the seasons published here, which is not the same as a whole career: a player who debuted before 2015 begins at 2015, 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 table above.
StatisticFrancisco LindorJosh Naylor
G1,632888
PA7,2833,483
H1,752851
2B350168
3B302
HR299114
RBI904489
BB631263
SO1,208534
SB21984
AVG.271.269
SLG.473.432
WAR54.810.2

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.