Jul
Perspectives on the Rocket Mortgage Classic
I love this place!
Entrants ranked on history in the Rocket Mortgage Classic. 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 |
---|---|
Cameron Tringale | 0.753 |
Kevin Kisner | 0.752 |
Troy Merritt | 0.686 |
JJ Spaun | 0.609 |
Maverick McNealy | 0.564 |
Rickie Fowler | 0.559 |
Chris Kirk | 0.551 |
Sepp Straka | 0.531 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Patrick Cantlay | 1 | 1704.4 |
Will Zalatoris | 9 | 1321.4 |
Cameron Young | 11 | 1261.7 |
Max Homa | 19 | 1039.8 |
Tony Finau | 24 | 973.6 |
Adam Scott | 28 | 942.6 |
Keegan Bradley | 32 | 905.8 |
Davis Riley | 40 | 836.1 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Rory McIlroy | 2 | 1646.9 |
Xander Schauffele | 3 | 1621.6 |
Jon Rahm | 4 | 1528.6 |
Cameron Smith | 5 | 1513.3 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Denny McCarthy | 1747.5 |
Patrick Cantlay | 1381.4 |
Brendan Steele | 1178.2 |
Will Zalatoris | 1026.2 |
Michael Thorbjornsen | 1016.2 |
Callum Tarren | 788.9 |
Mark Hubbard | 717.1 |
Tony Finau | 682.3 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Keegan Bradley | -890.5 |
Russell Henley | -715.0 |
Cameron Young | -663.5 |
Sepp Straka | -493.9 |
Webb Simpson | -476.2 |
Cameron Tringale | -382.4 |
Si Woo Kim | -375.6 |
David Lipsky | -370.9 |
Certain skills required
Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the Detroit Golf 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 |
---|---|
0.18 | Shots gained off the tee |
0.17 | Greens in regulation |
0.15 | Shots gained around the green |
0.15 | 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 | 68.78 |
Chris Kirk | 68.86 |
Will Zalatoris | 68.93 |
Adam Hadwin | 68.96 |
Matt Kuchar | 69.13 |
Taylor Pendrith | 69.17 |
Tony Finau | 69.18 |
Denny McCarthy | 69.20 |
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 |
---|---|
Joshua Creel | 71.7 |
Richy Werenski | 71.6 |
Wesley Bryan | 71.5 |
Garrick Higgo | 71.5 |
Bo Hoag | 71.5 |
Kiradech Aphibarnrat | 71.5 |
Jonas Blixt | 71.4 |
Dawie van der Walt | 71.3 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and Detroit, host city of the event.
Player | Residence | Distance |
---|---|---|
Ryan Armour | Silver Lake OH | 125 |
Ryan Brehm | Mount Pleasant MI | 125 |
Justin Lower | Uniontown OH | 125 |
Michael Gligic | Kitchener ON | 150 |
Bo Hoag | Columbus Oh | 175 |
Jason Day | Columbus Oh | 175 |
Nick Hardy | Northbrook IL | 250 |
Adam Schenk | Vincennes IN | 350 |
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 | 0.326 |
I love this place | 0.164 |
Ooh, that’s hot | 0.144 |
Location, location, location | 0.006 |