Head to head · Career batting

Paul Goldschmidt vs Francisco Lindor

In 2026 Francisco Lindor has been worth 1.6 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.

Two of the 25 most valuable batting careers on this site, 2005–2026, by dbWAR.

Paul Goldschmidt NYY

Francisco Lindor NYM

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.
Statistic	Paul Goldschmidt	Francisco Lindor
G	2,169	1,639
PA	9,206	7,317
H	2,277	1,758
2B	490	351
3B	25	30
HR	390	300
RBI	1,284	905
BB	1,115	634
SO	2,065	1,215
SB	175	219
AVG	.286	.270
SLG	.501	.472
WAR	59.7	54.8

2026 season

2026 batting. The stronger figure in each row is highlighted — for strikeout rate that is the lower one.
Statistic	Paul Goldschmidt	Francisco Lindor
G	104	104
PA	380	469
H	87	94
HR	18	21
RBI	52	49
SB	1	3
AVG	.252	.225
OBP	.313	.309
SLG	.452	.423
OPS	.765	.733
ISO	.200	.199
BB%	7.6%	9.8%
K%	22.6%	20.3%
wOBA	.332	.324
wRC+	105	105
WAR	0.9	2.5

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.
Statistic	Paul Goldschmidt	Francisco Lindor
G	32	41
PA	121	179
H	28	41
HR	8	8
RBI	16	21
BB	11	20
SO	28	42
SB	1	2
AVG	.262	.263
OBP	.347	.348
SLG	.533	.474
OPS	.880	.823

Paul Goldschmidt’s full profile →Francisco Lindor’s full profile →

More head to heads

The same seasons, measured against somebody else.

Paul Goldschmidt vs

Francisco Lindor vs

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.