Feb
A look at the WM 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 .590 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 .270 puts a player in the top 10 percent.
Player | History |
---|---|
Justin Thomas | 0.861 |
Scottie Scheffler | 0.702 |
Hideki Matsuyama | 0.635 |
Jordan Spieth | 0.554 |
Billy Horschel | 0.531 |
Charley Hoffman | 0.527 |
Sam Burns | 0.488 |
Keith Mitchell | 0.465 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Scottie Scheffler | 1 | 3014.0 |
Hideki Matsuyama | 10 | 1547.1 |
Sam Burns | 11 | 1539.7 |
Sungjae Im | 12 | 1531.2 |
Luke Clanton | 13 | 1505.9 |
Corey Conners | 16 | 1425.4 |
Justin Thomas | 17 | 1406.4 |
Wyndham Clark | 19 | 1334.5 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Xander Schauffele | 2 | 2477.9 |
Rory McIlroy | 3 | 2327.3 |
Collin Morikawa | 4 | 1959.0 |
Patrick Cantlay | 5 | 1849.0 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Sepp Straka | 1814.6 |
Harry Hall | 1433.5 |
Nick Taylor | 1180.4 |
Lee Hodges | 1039.3 |
JJ Spaun | 1017.5 |
Tom Hoge | 895.9 |
Rasmus Hojgaard | 893.1 |
Andrew Novak | 886.6 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Wyndham Clark | -1034.4 |
Brian Harman | -794.6 |
Corey Conners | -763.1 |
Scottie Scheffler | -738.4 |
Sahith Theegala | -718.4 |
Brendon Todd | -671.9 |
Jordan Spieth | -663.9 |
Adam Hadwin | -617.6 |
Certain skills required
Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the TPC Scottsdale 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 |
0.11 | Shots gained around the green |
0.07 | Shots gained putting |
0.06 | Sand saves |
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 |
---|---|
Joel Dahmen | 72.09 |
Aaron Rai | 72.11 |
Daniel Berger | 72.12 |
Doug Ghim | 72.14 |
Henrik Norlander | 72.15 |
Greyson Sigg | 72.16 |
Si Woo Kim | 72.16 |
Adam Svensson | 72.17 |
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 |
---|---|
Taylor Montgomery | 72.7 |
Mac Hughes | 72.6 |
Chris Gotterup | 72.6 |
SH Kim | 72.6 |
Peter Malnati | 72.6 |
Davis Riley | 72.5 |
Aaron Baddeley | 72.5 |
Pierceson Coody | 72.5 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2025 and Scottsdale AZ, the event host city.
Player | Residence | Distance |
---|---|---|
Kevin Yu | Scottsdale, AZ | 10 |
Kevin Streelman | Scottsdale, AZ | 10 |
Chez Reavie | Scottsdale, AZ | 10 |
Wyndham Clark | Scottsdale, AZ | 10 |
Jake Knapp | Scottsdale, AZ | 10 |
Joel Dahmen | Scottsdale, AZ | 10 |
Max Homa | Scottsdale, AZ | 10 |
Nate Lashley | Scottsdale, AZ | 10 |
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 | 0.382 |
I love this place | 0.179 |
Ooh, that’s hot | 0.123 |
Location, location, location | 0.011 |