18
Apr

Perspectives on the Zurich Classic of New Orleans

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
Billy Horschel 0.697
Ryan Palmer 0.638
Charley Hoffman 0.625
Nick Watney 0.545
Charl Schwartzel 0.512
Cameron Smith 0.493
Scott Stallings 0.490
Kevin Kisner 0.486

Top of the heap

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

Player Rank Rating
Scottie Scheffler 3 1328.9
Patrick Cantlay 4 1302.4
Cameron Smith 5 1283.2
Viktor Hovland 7 1212.6
Collin Morikawa 9 1166.6
Xander Schauffele 10 1154.9
Shane Lowry 12 1056.3
Will Zalatoris 13 1050.2

Sorry, can’t make it

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

Player Rank Rating
Jon Rahm 1 1511.7
Justin Thomas 2 1362.6
Dustin Johnson 6 1230.1
Rory McIlroy 8 1205.7

Ooh, that’s hot

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

Player Upward change
Scottie Scheffler & Doc Redman 787.5
Talor Gooch & Max Homa 747.6
Sepp Straka & David Skinns 735.3
Sergio Garcia & Tommy Fleetwood 657.1
Joaquin Niemann & Matthew NeSmith 616.5
Sam Burns & Billy Horschel 607.8
Cameron Smith & David Lipsky 589.9
Shane Lowry & Dylan Wu 575.4

Brr, that’s cold

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

Player Downward change
Patrick Cantlay & Xander Schauffele -517.4
Taylor Moore & Brandt Snedeker -276.6
Emiliano Grillo & Rafa Cabrera Bello -273.4
Charley Hoffman & Vincent Whaley -267.0
Ryan Palmer & Scott Piercy -265.6
Alex Smalley & Hayden Buckley -215.0
Sam Ryder & Seth Reeves -185.3
Wesley Bryan & Trey Mullinax -181.7

Certain skills required

Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the 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
0.26 Putts per GIR
0.09 Shots gained in approach
0.06 Shots gained off the tee
0.01 Shots gained putting

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
Patrick Cantlay & Xander Schauffele 69.02
Sam Burns & Billy Horschel 69.17
Robert MacIntyre & Hank Lebioda 69.18
Cameron Smith & David Lipsky 69.20
Viktor Hovland & Sahith Theegala 69.20
Talor Gooch & Max Homa 69.21
Tom Hoge & Paul Barjon 69.22

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
Sung Kang & Michael Kim 69.9
Dawie van der Walt & Brett Drewitt 69.9
Bill Haas & Jay Haas 69.8
Greyson Sigg & Henrik Stenson 69.8
Scott Gutschewski & DA Points 69.7
Henrik Norlander & Sean O’Hair 69.7
Russell Knox & Martin Trainer 69.7
Sepp Straka & David Skinns 69.6

Staying close to home

Exempt entrants ranked by miles between their listed residence as of January 2022 and the event venue.

Player Residence Distance
Davis Riley Hattiesburg MS 100
Bubba Watson Pensacola FL 175
Chad Ramey Fulton MS 200
Chase Seiffert Panama City FL 275
Sam Burns Shreveport LA 275
Mark Hubbard The Woodlands TX 325
Trey Mullinax Gardendale Al 325
Jason Dufner Auburn AL 325

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 0.272
Ooh, that’s hot 0.169
I love this place 0.166
Location, location, location 0.118
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