09
Oct

Shriners Children’s Open Power Ratings

Thomas Hawley 0 comment
Tom Kim
Tom Kim
Pick Player Power Number Actual Finish
1 Tom Kim 26.8 1
2 Cam Davis 33.6 7
3 JT Poston 36.1 3
4 Ludvig Aberg 36.6 13
5 Adam Hadwin 41.5 2
6 Andrew Putnam 43.0 112
7 Si Woo Kim 43.0 106
8 Emiliano Grillo 43.3 85
9 Tom Hoge 46.1 85
10 Eric Cole 47.3 3
11 Adam Schenk 48.3 69
12 JJ Spaun 49.2 46
13 Adam Svensson 49.4 18
14 Nick Taylor 50.9 13
15 Beau Hossler 51.0 7
16 Ben Griffin 51.6 97
17 Lucas Herbert 53.2 79
18 Mark Hubbard 54.5 69
19 Aaron Rai 54.6 28
20 Taylor Montgomery 54.9 35
21 Sam Ryder 54.9 28
22 Alex Smalley 55.4 61
23 Alex Noren 55.4 3
24 Peter Kuest 55.6 112
25 Matthew NeSmith 56.4 42
26 Justin Suh 56.4 56
27 Davis Riley 56.7 28
28 Martin Laird 57.0 79
29 Patrick Rodgers 57.9 WD
30 KH Lee 58.2 7
31 Christiaan Bezuidenhout 58.4 56
32 Callum Tarren 59.1 23
33 Hayden Buckley 59.3 64
34 Nick Hardy 59.3 55
35 Michael Kim 59.3 18
36 Webb Simpson 59.3 46
37 Doug Ghim 59.4 69
38 SH Kim 59.7 97
39 Dylan Wu 59.7 97
40 Nicolai Hojgaard 59.7 56
41 Chez Reavie 60.2 112
42 Zac Blair 60.4 42
43 Scott Stallings 60.5 69
44 Davis Thompson 60.8 35
45 Vincent Norrman 60.8 85
46 Luke List 60.9 18
47 Garrick Higgo 60.9 46
48 Chesson Hadley 61.1 7
49 Troy Merritt 61.4 64
50 Kevin Streelman 61.4 112
51 Taylor Pendrith 61.5 3
52 David Lipsky 61.5 121
53 Joel Dahmen 62.2 7
54 Nate Lashley 62.9 42
55 Chad Ramey 63.2 46
56 Austin Eckroat 63.4 69
57 Peter Malnati 63.6 123
58 Kevin Yu 63.6 97
59 Robby Shelton 63.7 79
60 Erik van Rooyen 64.3 23
61 Carson Young 64.8 112
62 Ryan Palmer 64.9 69
63 CT Pan 65.0 WD
64 Greyson Sigg 65.2 28
65 Sam Stevens 65.2 46
66 Harry Hall 65.2 26
67 Tyler Duncan 65.4 18
68 Stewart Cink 65.9 79
69 Joseph Bramlett 66.1 DNP
70 Matt Wallace 66.1 28
71 Jimmy Walker 66.9 97
72 Akshay Bhatia 67.0 35
73 Patton Kizzire 67.1 46
74 Russell Knox 67.4 106
75 Cameron Champ 67.6 18
76 James Hahn 67.6 68
77 Justin Lower 67.7 85
78 Ben Taylor 67.7 28
79 Will Gordon 67.8 69
80 Charley Hoffman 68.0 69
81 Andrew Novak 68.4 85
82 Adam Long 68.8 35
83 MJ Daffue 68.8 97
84 Kelly Kraft 68.9 23
85 Ben Martin 68.9 69
86 Scott Piercy 69.3 42
87 Lanto Griffin 69.5 13
88 Robert Streb 69.6 85
89 Austin Smotherman 69.6 35
90 Zecheng Dou 69.8 85
91 Dylan Frittelli 69.9 97
92 Vincent Whaley 70.0 13
93 Carl Yuan 70.1 52
94 Doc Redman 70.1 66
95 Matthias Schwab 70.4 63
96 Cameron Percy 70.4 DNP
97 Ryan Moore 70.5 13
98 Kramer Hickok 70.8 97
99 Tyson Alexander 70.9 112
100 Jason Dufner 70.9 66
101 Harry Higgs 71.5 121
102 Matthias Schmid 71.5 26
103 Harrison Endycott 71.7 56
104 Henrik Norlander 71.9 35
105 Martin Trainer 72.1 DNP
106 Brice Garnett 72.2 DNP
107 Ryan Armour 72.3 112
108 Paul Haley 72.3 123
109 Satoshi Kodaira 72.6 DNP
110 Austin Cook 72.9 69
111 Richy Werenski 73.1 85
112 Nicholas Lindheim 73.1 28
113 Kevin Tway 73.1 79
114 Brian Stuard 73.7 106
115 Ryan Brehm 73.9 106
116 Jonathan Byrd 73.9 DNP
117 Estanislao Goya 74.1 61
118 Michael Gligic 74.2 112
119 Brandt Snedeker 74.2 52
120 Scott Harrington 74.3 112
121 Kevin Roy 74.8 106
122 Max McGreevy 74.8 106
123 Nico Echavarria 74.8 79
124 Brent Grant 74.9 35
125 Trevor Cone 75.2 85
126 Nick Watney 75.7 123
127 Kyle Westmoreland 75.8 127
128 Augusto Nunez 75.8 85
129 Brandon Matthews 75.9 DNP
130 Trevor Werbylo 76.4 56
131 Jim Herman 76.7 DNP
132 Andrew Landry 77.2 97
133 Tommy Gainey 78.5 123
134 Yuxin Lin 80.0 52
135 Lexi Thompson 80.7 85
136 Craig Hocknull 81.0 128
Isaiah Salinda late entry 11
Tim Widing late entry 96
Vijay Srinivasan late entry 129
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Oct. 15, 2023. The accuracy number for these picks is 440. The average is 170. (An accuracy number of 1000 would indicate a perfect set of picks from first place through 16th.)

Players are listed in order of preference. The Power Number reflects the player’s Hawley Rating, fit for the course, past performance in this event, and recent performance in tour events. Observed Odds is the frequency that a player actually wins the event, given the listed Power Number and its margin behind the favorite. This differs from betting odds, which reflect take-out by the sports book and sentiment of the public. Course fit reflects the player’s statistical profile in relationship to the statistical profile of players who have been successful on this course in recent events.

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