Jun
Perspectives on the U.S. 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 .605 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 .295 puts a player in the top 10 percent.
Player | History |
---|---|
Louis Oosthuizen | 0.877 |
Xander Schauffele | 0.833 |
Brooks Koepka | 0.748 |
Dustin Johnson | 0.710 |
Patrick Reed | 0.701 |
Hideki Matsuyama | 0.681 |
Jon Rahm | 0.610 |
Rory McIlroy | 0.605 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Jon Rahm | 1 | 1557.4 |
Justin Thomas | 2 | 1503.2 |
Patrick Cantlay | 3 | 1448.5 |
Rory McIlroy | 4 | 1429.5 |
Xander Schauffele | 5 | 1372.9 |
Scottie Scheffler | 6 | 1365.4 |
Cameron Smith | 7 | 1348.8 |
Will Zalatoris | 8 | 1253.7 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Paul Casey | 18 | 1057.2 |
Chris Kirk | 42 | 795.9 |
Keith Mitchell | 44 | 787.1 |
Brendan Steele | 47 | 754.9 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Davis Riley | 1814.6 |
Max Homa | 1774.6 |
Cameron Young | 1678.9 |
Mito Pereira | 1660.4 |
Patrick Cantlay | 1624.7 |
Xander Schauffele | 1495.2 |
Rory McIlroy | 1213.4 |
Matthew Fitzpatrick | 1166.3 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Dustin Johnson | -925.4 |
Collin Morikawa | -895.2 |
Keegan Bradley | -810.8 |
Bryson DeChambeau | -713.2 |
Kevin Kisner | -651.5 |
Viktor Hovland | -645.0 |
Russell Henley | -602.6 |
Adam Scott | -600.4 |
Certain skills required
Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the course, this table shows the four that have the highest unique correlation with player performance. Events in U.S. Opens 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 |
---|---|
0.31 | Shots gained putting |
0.13 | Shots gained off the tee |
0.11 | 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 |
---|---|
Shaun Norris | 70.84 |
Billy Horschel | 71.40 |
Thomas Pieters | 71.64 |
Jon Rahm | 71.72 |
Rory McIlroy | 71.72 |
Tyrrell Hatton | 71.74 |
Cameron Smith | 71.74 |
Scottie Scheffler | 71.74 |
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 |
---|---|
Sean Crocker | 74.8 |
Guido Migliozzi | 74.4 |
Joseph Bramlett | 74.4 |
Danny Lee | 74.3 |
Branden Grace | 74.3 |
Brian Stuard | 74.3 |
Erik van Rooyen | 74.2 |
Chase Seiffert | 74.2 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and Brookline MA, the event venue.
Player | Residence | Distance |
---|---|---|
Keegan Bradley | Woodstock VT | 125 |
Marc Leishman | Virginia Beach VA | 450 |
Corey Conners | Listowel ON | 500 |
Jason Kokrak | Cleveland Oh | 550 |
Grayson Murray | Raleigh NC | 600 |
Bo Hoag | Columbus Oh | 650 |
Harold Varner | Charlotte NC | 725 |
Mac Hughes | Charlotte NC | 725 |
Webb Simpson | Charlotte NC | 725 |
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 | 0.324 |
I love this place | 0.171 |
Ooh, that’s hot | 0.155 |
Location, location, location | 0.028 |