03
Jul

LIV Golf Invitational London Power Ratings

Thomas Hawley 0 comment

Cameron Smith, the last remaining LIV player in the top 10 of the Hawley Ratings, is the top pick in this week’s LIV London event. Smith has finished in the top 10 his last six times out, including four LIV events, the U.S. Open, and the PGA. This event marks the first repeat event in the LIV Tour’s two-year history; London was the site of the first LIV event last June.


Cameron Smith
Pick Player Power Number Observed Odds
1 Cameron Smith 8.3 6-1
2 Dustin Johnson 21.8 10-1
3 Brooks Koepka 26.4 12-1
4 Talor Gooch 35.3 18-1
5 Joaquin Niemann 35.7 18-1
6 Bryson DeChambeau 37.4 20-1
7 Harold Varner 39.7 24-1
8 Patrick Reed 40.8 25-1
9 Mito Pereira 41.0 25-1
10 Cameron Tringale 46.8 35-1
11 Sergio Garcia 47.7 35-1
12 Paul Casey 49.3 40-1
13 Charles Howell 50.1 45-1
14 Branden Grace 50.9 45-1
15 Kevin Na 51.1 50-1
16 Louis Oosthuizen 51.2 50-1
17 Peter Uihlein 51.4 50-1
18 Brendan Steele 51.5 50-1
19 Pat Perez 51.5 50-1
20 Jason Kokrak 51.6 50-1
21 Charl Schwartzel 51.6 50-1
22 Sebastian Munoz 51.6 50-1
23 Abraham Ancer 53.9 60-1
24 Anirban Lahiri 55.2 70-1
25 Marc Leishman 56.1 75-1
26 Dean Burmester 57.7 85-1
27 Bubba Watson 57.9 85-1
28 Matthew Wolff 57.9 85-1
29 Matt Jones 59.2 100-1
30 Thomas Pieters 59.2 100-1
31 Carlos Ortiz 59.7 100-1
32 Richard Bland 60.1 100-1
33 Eugenio Chacarra 60.4 100-1
34 Ian Poulter 60.9 100-1
35 Henrik Stenson 62.3 100-1
36 Lee Westwood 62.9 150-1
37 David Puig 63.8 150-1
38 Phil Mickelson 63.9 150-1
39 Scott Vincent 64.0 150-1
40 Laurie Canter 65.5 200-1
41 Bernd Wiesberger 65.7 200-1
42 Graeme McDowell 65.9 200-1
43 Danny Lee 66.1 200-1
44 Chase Koepka 67.9 300-1
45 Martin Kaymer 70.3 400-1
46 James Piot 72.0 600-1
47 Jed Morgan 73.6 800-1
48 Sihwan Kim 74.8 800-1
More | Less

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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