DG Rankings
The Data Golf Rankings are a ranking of the best golfers in the world according to our model. They are determined by averaging the field-strength-adjusted scores of each golfer across professional and amateur tournaments, with more recent rounds receiving more weight. More info.
Prior to 2010, the rankings are only based on PGA Tour, European Tour, and Korn Ferry Tour results. For this reason only the top 100 players are displayed.
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DG Ranking
Player Age Tours Rank Δ DG Index OWGR Δ DGP Δ
 TigerT. Woods Tiger  Woods
33
1
–
+3.18
1
–
–
–
38
2
–
+1.81
2
–
–
–
42
3
–
+1.68
13
1
–
–
 JimJ. Furyk Jim  Furyk
38
4
2
+1.54
15
1
–
–
 PaulP. Casey Paul  Casey
31
5
2
+1.46
6
–
–
–
31
6
2
+1.45
22
2
–
–
 SergioS. Garcia Sergio  Garcia
29
7
3
+1.45
3
–
–
–
26
8
8
+1.43
12
10
–
–
 HunterH. Mahan Hunter  Mahan
26
9
1
+1.41
45
–
–
–
27
10
1
+1.41
10
–
–
–
39
11
6
+1.39
11
–
–
–
31
12
3
+1.37
4
–
–
–
 KennyK. Perry Kenny  Perry
48
13
1
+1.34
5
–
–
–
28
14
1
+1.30
28
4
–
–
 BrianB. Gay Brian  Gay
37
15
3
+1.20
54
2
–
–
37
16
2
+1.20
33
1
–
–
 AnthonyA. Kim Anthony  Kim
23
17
–
+1.18
14
1
–
–
 MartinM. Kaymer Martin  Kaymer
24
18
2
+1.17
23
1
–
–
37
19
6
+1.14
7
–
–
–
 ErnieE. Els Ernie  Els
39
20
1
+1.13
17
1
–
–
 DavidD. Toms David  Toms
42
21
–
+1.13
61
1
–
–
29
22
7
+1.10
70
49
–
–
33
23
8
+1.03
25
2
–
–
20
24
2
+1.01
18
1
–
–
36
25
2
+1.01
16
1
–
–
29
26
1
+0.99
104
2
–
–
 TimT. Clark Tim  Clark
33
27
1
+0.98
39
2
–
–
31
28
1
+0.97
37
1
–
–
33
29
14
+0.96
30
10
–
–
45
30
5
+0.96
51
4
–
–
36
31
3
+0.92
27
1
–
–
 MathewM. Goggin Mathew  Goggin
34
32
2
+0.87
52
2
–
–
 BrinyB. Baird Briny  Baird
36
33
3
+0.86
87
1
–
–
44
34
5
+0.85
79
1
–
–
35
35
6
+0.85
69
2
–
–
 CharlieC. Wi Charlie  Wi
37
36
4
+0.84
84
2
–
–
29
37
13
+0.83
80
3
–
–
 RetiefR. Goosen Retief  Goosen
40
38
19
+0.83
21
2
–
–
32
39
3
+0.83
94
2
–
–
28
40
9
+0.80
34
1
–
–
34
41
8
+0.80
41
–
–
–
33
42
12
+0.80
42
–
–
–
26
43
2
+0.78
73
3
–
–
 PatP. Perez Pat  Perez
33
44
12
+0.76
58
2
–
–
 AlexA. Noren Alex  Noren
26
45
1
+0.75
98
2
–
–
 MikeM. Weir Mike  Weir
38
46
1
+0.74
20
1
–
–
38
47
14
+0.73
114
2
–
–
44
48
–
+0.72
62
1
–
–
33
49
2
+0.72
9
–
–
–
 KevinK. Na Kevin  Na
25
50
12
+0.70
109
5
–
–
29
51
4
+0.69
47
1
–
–
 BobB. Estes Bob  Estes
43
52
6
+0.68
174
6
–
–
 StephenS. Ames Stephen  Ames
45
53
6
+0.67
50
–
–
–
28
54
10
+0.67
59
2
–
–
33
55
12
+0.67
191
9
–
–
 Jeev MilkhaJ. Singh Jeev Milkha  Singh
37
56
19
+0.67
36
–
–
–
39
57
5
+0.67
19
1
–
–
35
58
20
+0.67
63
5
–
–
 BenB. Crane Ben  Crane
33
59
3
+0.66
72
2
–
–
 RyujiR. Imada Ryuji  Imada
32
60
6
+0.62
74
2
–
–
37
61
4
+0.60
106
4
–
–
 VijayV. Singh Vijay  Singh
46
62
12
+0.59
8
–
–
–
 AnthonyA. Wall Anthony  Wall
33
63
3
+0.57
92
2
–
–
32
64
28
+0.56
218
86
–
–
 K.J.K. Choi K.J.  Choi
38
65
3
+0.56
31
1
–
–
30
66
38
+0.56
77
53
–
–
31
67
1
+0.55
64
1
–
–
28
68
5
+0.54
56
3
–
–
38
69
16
+0.53
60
–
–
–
27
70
–
+0.52
101
7
–
–
33
71
23
+0.51
133
9
–
–
34
72
29
+0.51
96
11
–
–
33
73
–
+0.51
46
–
–
–
24
74
19
+0.50
68
3
–
–
45
75
–
+0.49
91
2
–
–
26
76
3
+0.49
57
2
–
–
 MichaelM. Sim Michael  Sim
24
77
4
+0.48
122
1
–
–
34
78
5
+0.47
251
13
–
–
 JerryJ. Kelly Jerry  Kelly
42
79
8
+0.46
81
3
–
–
 JonathanJ. Byrd Jonathan  Byrd
31
80
31
+0.46
135
45
–
–
 StewartS. Cink Stewart  Cink
35
81
1
+0.45
24
3
–
–
 AdamA. Scott Adam  Scott
28
82
18
+0.45
29
1
–
–
 ThongchaiT. Jaidee Thongchai  Jaidee
39
83
2
+0.45
49
–
–
–
34
84
18
+0.43
100
3
–
–
 ThomasT. Levet Thomas  Levet
40
85
48
+0.43
111
65
–
–
 AlvaroA. Quiros Alvaro  Quiros
26
86
4
+0.41
26
1
–
–
 JeffJ. Klauk Jeff  Klauk
31
87
15
+0.41
152
7
–
–
 KenK. Duke Ken  Duke
40
88
11
+0.41
113
3
–
–
39
89
13
+0.40
66
2
–
–
24
90
1
+0.40
44
–
–
–
28
91
22
+0.40
75
2
–
–
 Miguel AngelM. Jimenez Miguel Angel  Jimenez
45
92
5
+0.39
35
4
–
–
27
93
16
+0.39
53
2
–
–
 AndersA. Hansen Anders  Hansen
38
94
14
+0.39
65
2
–
–
 JustinJ. Rose Justin  Rose
28
95
21
+0.39
32
3
–
–
25
96
5
+0.38
207
1
–
–
 BillB. Haas Bill  Haas
26
97
15
+0.37
228
18
–
–
30
98
26
+0.37
120
6
–
–
29
99
15
+0.36
40
1
–
–
29
100
5
+0.35
161
–
–
–
What is the DG Index?
The DG Index is an estimate of a player's current skill level. It is calculated as a weighted average of a player's field-strength-adjusted scores, with recent rounds receiving more weight, plus some adjustments for the overall recency of a player's data. It can be interpreted as our expectation for a golfer's next performance, in strokes gained per round, relative to our baseline player.