LIV London

06
Jun

Thomas Hawley 0 comment

Kevin Na

Pick	Player	Finish Estimate	Actual Finish
1	Kevin Na	41.6	33
2	Dustin Johnson	42.6	8
3	Talor Gooch	45.8	9
4	Louis Oosthuizen	49.2	10
5	Sergio Garcia	51.2	22
6	Ian Poulter	59.3	20
7	Charl Schwartzel	61.9	1
8	Branden Grace	61.9	3
9	Matt Jones	62.2	25
10	Lee Westwood	63.3	29
11	Bernd Wiesberger	64.2	43
12	Sam Horsfield	65.4	5
13	Oliver Bekker	67.0	6
14	Hennie du Plessis	68.2	2
15	Phil Mickelson	68.3	33
16	Justin Harding	68.7	10
17	Hudson Swafford	68.7	30
18	Pablo Larrazabal	68.7	13
19	Richard Bland	68.8	17
20	Graeme McDowell	69.3	10
21	Laurie Canter	69.4	17
22	Adrian Otaegui	70.7	6
23	Martin Kaymer	72.3	15
24	JC Ritchie	72.9	17
25	Shaun Norris	73.1	22
26	Wade Ormsby	73.3	22
27	Ryosuke Kinoshita	74.2	13
28	Peter Uihlein	75.2	3
29	Scott Vincent	75.5	20
30	Sihwan Kim	76.0	43
31	Andy Ogletree	76.0	48
32	Jinichiro Kozuma	76.5	15
33	Turk Pettit	76.6	45
34	Sadom Kaewkanjana	76.9	46
35	Hideto Tanihara	76.9	38
36	Phachara Khongwatmai	77.3	25
37	David Puig	77.4	38
38	Ian Snyman	77.7	25
39	Blake Windred	77.9	38
40	Ratchanon Chantananuwat	77.9	38
41	Itthipat Buranatanyarat	77.9	47
42	Jed Morgan	77.9	30
43	Oliver Fisher	77.9	38
44	Viraj Madappa	78.2	30
45	Travis Smyth	78.3	33
46	Kevin Yuan	78.3	33
47	Chase Koepka	78.4	33
48	James Piot	78.4	25
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The accuracy number for these picks is 19. The average is 127. (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 Finish Estimate 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 Finish Estimate 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.