DataBaseball
2026

Head to head · Career batting

Matt Holliday vs Francisco Lindor

In 2018 Francisco Lindor has been worth 6.4 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.
StatisticMatt HollidayFrancisco Lindor
G1,7801,639
PA7,5427,317
H1,9801,758
2B437351
3B2930
HR302300
RBI1,163905
BB771634
SO1,2761,215
SB105219
AVG.300.270
SLG.512.472
WAR51.154.8

2018 season

2018 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
StatisticMatt HollidayFrancisco Lindor
G25158
PA65745
H15183
HR238
RBI392
SB025
AVG.283.277
OBP.415.352
SLG.434.519
OPS.849.871
ISO.151.242
BB%18.5%9.4%
K%27.7%14.4%
wOBA.381.372
wRC+133133
WAR0.46.8

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.
StatisticMatt HollidayFrancisco Lindor
G7741
PA314179
H7141
HR138
RBI3721
BB1820
SO6242
SB12
AVG.245.263
OBP.303.348
SLG.421.474
OPS.723.823

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.