13
Feb

A look at the Genesis Invitational

Thomas Hawley 0 comment

I love this place!

Entrants ranked on history in the event. The value reflects the player’s success and number of years competed within the last eight years, weighted in favor of more recent seasons. A value of 1.000 would mean the player appeared every year and won every time. A value of about .715 puts the player in the top 1 percent of all players who have played the event at least once in the last eight seasons, a value of .335 puts a player in the top 10 percent.

Player History
Adam Scott 0.752
Xander Schauffele 0.693
Max Homa 0.659
Patrick Cantlay 0.640
Jon Rahm 0.632
Rory McIlroy 0.619
Tony Finau 0.595
Jordan Spieth 0.509

Top of the heap

The top eight players (per the Hawley Ratings) among this event’s entries.

Player Rank Rating
Jon Rahm 1 1952.4
Rory McIlroy 2 1813.5
Patrick Cantlay 3 1805.7
Scottie Scheffler 4 1752.3
Xander Schauffele 5 1738.4
Justin Thomas 7 1521.9
Sungjae Im 9 1404.2
Will Zalatoris 10 1357.4

Sorry, can’t make it

The top four players (per the Hawley Ratings) who are not playing this event.

Player Rank Rating
Dustin Johnson 6 1562.5
Cameron Smith 8 1452.7
Daniel Berger 19 1176.0
Talor Gooch 22 1162.6

Ooh, that’s hot

Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.

Player Upward change
Jon Rahm 1391.7
Nick Taylor 1310.5
Jason Day 1218.3
Adam Hadwin 1036.5
Tony Finau 938.8
Taylor Moore 922.9
Sungjae Im 917.5
Si Woo Kim 869.6

Brr, that’s cold

Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.

Player Downward change
Will Zalatoris -958.9
Shane Lowry -825.2
Russell Henley -744.0
Tommy Fleetwood -693.9
Patrick Cantlay -673.0
Billy Horschel -669.4
Davis Riley -652.2
Adam Scott -581.5

Certain skills required

Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the Riviera Country Club course, this table shows the four that have the highest unique correlation with player performance. Events on this course within the last eight years are considered, and the minimum is 80 player appearances. In mathematical terms, the number shown is the partial correlation coefficient.

Stat value Statistic
0.16 Shots gained around the green
0.09 Shots gained off the tee
0.05 Putts per GIR
0.03 Shots gained in approach

Location, location, location

Event entrants ranked by predicted score per 18 holes based solely on “course fit” — i.e. based on the player’s current percentile standing in each of the four statistics shown above.

Course fit Player
Jon Rahm 70.14
Cameron Young 70.17
Rory McIlroy 70.18
Kevin Yu 70.20
Will Zalatoris 70.23
Adrian Meronk 70.24
Taylor Montgomery 70.25
Tony Finau 70.27

Anyplace but here

Event entrants ranked by worst predicted score per 18 holes based solely on “course fit” — i.e. the player’s current percentile standing in each of the four statistics shown above.

Course fit Player
Nick Watney 70.9
Luke Donald 70.8
David Lingmerth 70.8
Max McGreevy 70.8
Chesson Hadley 70.7
Matt Wallace 70.7
Kevin Kisner 70.7
Harris English 70.7

Staying close to home

Exempt entrants ranked by miles between their listed residence as of January 2023 and Pacific Palisades CA, the event venue.

Player Residence Distance
Justin Suh Los Angeles Ca 16
Patrick Cantlay Long Beach CA 27
JJ Spaun San Dimas CA 41
Sahith Theegala Chino Hills CA 44
Brendan Steele Irvine Ca 48
Joseph Bramlett Las Vegas NV 250
Nick Watney Las Vegas NV 250
Doug Ghim Las Vegas NV 250
Taylor Montgomery Las Vegas NV 250
Seamus Power Las Vegas NV 250
Collin Morikawa Las Vegas NV 250
Scott Piercy Las Vegas NV 250
David Lipsky Las Vegas NV 250
Xander Schauffele Las Vegas NV 250

Mathematically speaking

The following table shows the correlations between player ranking in the above tables and their actual finish positions. In other words, to what extent does the ordering of players in the table correspond to the order of finish.

Statistic Correlation to results
Top of the heap 0.365
I love this place 0.175
Ooh, that’s hot 0.128
Location, location, location 0.031
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