Feb
A look at the Waste Management Phoenix Open
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 |
---|---|
Jon Rahm | 0.813 |
Xander Schauffele | 0.793 |
Justin Thomas | 0.789 |
Hideki Matsuyama | 0.655 |
Billy Horschel | 0.590 |
Max Homa | 0.528 |
Matt Kuchar | 0.513 |
JT Poston | 0.510 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Patrick Cantlay | 1 | 1887.3 |
Jon Rahm | 2 | 1834.0 |
Rory McIlroy | 3 | 1832.6 |
Xander Schauffele | 4 | 1661.1 |
Scottie Scheffler | 5 | 1619.3 |
Justin Thomas | 8 | 1382.0 |
Taylor Montgomery | 9 | 1379.3 |
Sungjae Im | 11 | 1305.1 |
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 | 1555.3 |
Cameron Smith | 7 | 1392.2 |
Will Zalatoris | 10 | 1350.4 |
Joaquin Niemann | 18 | 1199.1 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Joel Dahmen | 1357.4 |
Rickie Fowler | 869.3 |
Collin Morikawa | 725.9 |
Jon Rahm | 666.8 |
Chris Kirk | 659.4 |
JT Poston | 649.0 |
Alex Noren | 577.2 |
Si Woo Kim | 541.5 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Jordan Spieth | -871.8 |
Shane Lowry | -848.1 |
Billy Horschel | -778.0 |
Sam Burns | -758.7 |
Tommy Fleetwood | -722.8 |
Justin Thomas | -719.3 |
Davis Riley | -640.6 |
Brian Harman | -638.8 |
Certain skills required
Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the TPC Scottsdale tournament 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 |
---|---|
0.11 | Putts per GIR |
0.03 | Shots gained in approach |
0.02 | Driving accuracy |
0.01 | Driving distance |
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 |
---|---|
Taylor Montgomery | 69.76 |
Tom Kim | 69.95 |
Scottie Scheffler | 69.99 |
Xander Schauffele | 70.01 |
Ben Griffin | 70.01 |
Sam Burns | 70.02 |
Justin Thomas | 70.03 |
Viktor Hovland | 70.04 |
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 |
---|---|
Kyle Stanley | 70.9 |
Jim Herman | 70.5 |
Cameron Champ | 70.4 |
Nick Watney | 70.4 |
Gary Woodland | 70.3 |
Doug Ghim | 70.3 |
Luke List | 70.3 |
Jason Dufner | 70.3 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and Scottsdale AZ, the event venue.
Player | Residence | Distance |
---|---|---|
Jon Rahm | Scottsdale AZ | 10 |
Nate Lashley | Scottsdale AZ | 10 |
Joel Dahmen | Scottsdale AZ | 10 |
James Hahn | Scottsdale AZ | 10 |
Max Homa | Scottsdale AZ | 10 |
Kevin Streelman | Scottsdale AZ | 10 |
Chez Reavie | Scottsdale AZ | 10 |
Andrew Putnam | Phoenix AZ | 16 |
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 | 0.364 |
I love this place | 0.170 |
Ooh, that’s hot | 0.130 |
Location, location, location | 0.031 |