Apr
A look at the Masters
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 |
---|---|
Hideki Matsuyama | 0.805 |
Justin Thomas | 0.769 |
Jon Rahm | 0.742 |
Rory McIlroy | 0.724 |
Cameron Smith | 0.691 |
Dustin Johnson | 0.677 |
Patrick Reed | 0.627 |
Jordan Spieth | 0.615 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Scottie Scheffler | 1 | 2144.0 |
Patrick Cantlay | 2 | 2135.2 |
Rory McIlroy | 3 | 1971.3 |
Jon Rahm | 4 | 1930.0 |
Xander Schauffele | 5 | 1796.1 |
Max Homa | 6 | 1634.2 |
Justin Thomas | 7 | 1567.4 |
Viktor Hovland | 8 | 1507.2 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Daniel Berger | 21 | 1195.5 |
Taylor Montgomery | 22 | 1171.1 |
Rickie Fowler | 33 | 1009.0 |
Paul Casey | 34 | 998.2 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Max Homa | 2104.5 |
Scottie Scheffler | 1880.2 |
Jason Day | 1817.8 |
Viktor Hovland | 1391.9 |
Patrick Cantlay | 1364.5 |
Cameron Young | 1268.1 |
Jordan Spieth | 1218.6 |
Ryan Fox | 1128.5 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Cameron Smith | -1054.7 |
Will Zalatoris | -716.6 |
Jon Rahm | -701.1 |
Scott Stallings | -590.1 |
Aaron Wise | -565.0 |
Brooks Koepka | -559.4 |
Harold Varner | -553.8 |
Matthew Fitzpatrick | -524.8 |
Certain skills required
Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the Augusta National 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 |
---|---|
0.21 | Greens in regulation |
0.17 | Putts per GIR |
0.13 | Scrambling |
0.05 | Shots gained around the green |
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 |
---|---|
Tom Kim | 71.68 |
Scottie Scheffler | 71.74 |
Cameron Smith | 71.97 |
Xander Schauffele | 71.99 |
Patrick Cantlay | 72.11 |
Tony Finau | 72.16 |
Sungjae Im | 72.16 |
Justin Thomas | 72.16 |
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 |
---|---|
Brooks Koepka | 73.9 |
Gary Woodland | 73.8 |
Cameron Champ | 73.7 |
Francesco Molinari | 73.6 |
Zach Johnson | 73.6 |
Danny Willett | 73.6 |
Sepp Straka | 73.6 |
Mac Hughes | 73.5 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2023 and Augusta GA, home to the event.
Player | Residence | Distance |
---|---|---|
Kevin Kisner | Aiken SC | 16 |
Sepp Straka | Athens GA | 75 |
Chris Kirk | Athens GA | 75 |
Russell Henley | Kiawah Island SC | 125 |
Mac Hughes | Charlotte NC | 125 |
Harold Varner | Charlotte NC | 150 |
Zach Johnson | St. Simons Island GA | 175 |
Keith Mitchell | St. Simons Island GA | 175 |
JT Poston | St. Simons Island GA | 175 |
Brian Harman | St. Simons Island GA | 175 |
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 | 0.369 |
I love this place | 0.172 |
Ooh, that’s hot | 0.127 |
Location, location, location | 0.111 |