Jun
A look at the Rocket Mortgage Classic
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 |
---|---|
Troy Merritt | 0.720 |
JJ Spaun | 0.695 |
Chris Kirk | 0.612 |
Scott Stallings | 0.529 |
Richy Werenski | 0.495 |
Henrik Norlander | 0.473 |
Cameron Champ | 0.465 |
Matt Wallace | 0.456 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Sungjae Im | 9 | 1553.7 |
Max Homa | 10 | 1540.6 |
Justin Thomas | 11 | 1529.9 |
Rickie Fowler | 15 | 1431.8 |
Tony Finau | 18 | 1339.6 |
Collin Morikawa | 22 | 1265.6 |
Hideki Matsuyama | 24 | 1260.8 |
Keegan Bradley | 29 | 1186.7 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Scottie Scheffler | 1 | 2669.3 |
Patrick Cantlay | 2 | 2432.2 |
Rory McIlroy | 3 | 2288.5 |
Xander Schauffele | 4 | 2191.5 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Austin Eckroat | 1690.1 |
Rickie Fowler | 1557.1 |
Adam Schenk | 1131.1 |
Sepp Straka | 1090.9 |
Mark Hubbard | 898.2 |
Doug Ghim | 768.0 |
Justin Suh | 702.3 |
CT Pan | 640.6 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Sungjae Im | -1483.9 |
Justin Thomas | -1090.8 |
Tom Hoge | -783.7 |
Taylor Moore | -734.8 |
Tony Finau | -732.1 |
Davis Riley | -726.8 |
Chris Kirk | -662.9 |
Ben Griffin | -616.9 |
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 four years are considered, and the minimum is 80 player appearances. In mathematical terms, the number shown is the partial correlation coefficient.
Stat value | Statistic |
---|---|
0.20 | Shots gained off the tee |
0.16 | Shots gained putting |
0.14 | Greens in regulation |
0.11 | 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 |
---|---|
Nicolai Hojgaard | 69.92 |
Kevin Yu | 69.98 |
Tony Finau | 70.10 |
Sungjae Im | 70.27 |
Hayden Buckley | 70.31 |
Max Homa | 70.33 |
Collin Morikawa | 70.35 |
Tom Kim | 70.51 |
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 |
---|---|
Nick Watney | 73.6 |
Max McGreevy | 73.3 |
Luke Donald | 73.0 |
Ryan Brehm | 72.8 |
Brian Stuard | 72.8 |
Kelly Kraft | 72.7 |
Webb Simpson | 72.7 |
Robert Streb | 72.7 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2023 and Detroit, the event host city.
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 |
Nick Hardy | Northbrook IL | 250 |
Adam Schenk | Vincennes IN | 350 |
Scott Stallings | Knoxville Ten | 450 |
Peter Malnati | Knoxville Ten | 450 |
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 | 0.372 |
I love this place | 0.177 |
Ooh, that’s hot | 0.144 |
Location, location, location | 0.102 |