Aug
Perspectives on the BMW Championship
I love this place!
Entrants ranked on history in the BMW 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 |
---|---|
Tony Finau | 0.801 |
Jon Rahm | 0.792 |
Rory McIlroy | 0.749 |
Patrick Cantlay | 0.719 |
Justin Thomas | 0.695 |
Hideki Matsuyama | 0.675 |
Xander Schauffele | 0.539 |
Billy Horschel | 0.459 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Patrick Cantlay | 1 | 1719.6 |
Jon Rahm | 2 | 1643.0 |
Rory McIlroy | 3 | 1590.6 |
Xander Schauffele | 5 | 1576.2 |
Will Zalatoris | 6 | 1457.8 |
Matthew Fitzpatrick | 7 | 1451.0 |
Justin Thomas | 8 | 1444.1 |
Scottie Scheffler | 9 | 1423.3 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Cameron Smith | 4 | 1589.3 |
Dustin Johnson | 13 | 1233.2 |
Daniel Berger | 19 | 1117.3 |
Paul Casey | 23 | 1066.0 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Matthew Fitzpatrick | 2397.3 |
Tony Finau | 1812.5 |
Joohyung Kim | 1481.2 |
Sungjae Im | 1452.5 |
Xander Schauffele | 1371.6 |
Patrick Cantlay | 1348.9 |
Trey Mullinax | 1284.0 |
Scott Stallings | 1186.0 |
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 | -857.1 |
Mito Pereira | -801.7 |
Cameron Tringale | -751.4 |
Sam Burns | -676.7 |
Justin Thomas | -673.1 |
Marc Leishman | -644.5 |
Seamus Power | -601.7 |
Sebastian Munoz | -586.0 |
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 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.
(Course characteristics data not available for Wilmington Country Club.)
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 characteristics data not available for Wilmington Country Club.)
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 characteristics data not available for Wilmington Country Club.)
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and Wilmington DE, the event host city.
Player | Residence | Distance |
---|---|---|
Marc Leishman | Virginia Beach VA | 200 |
Keegan Bradley | Woodstock VT | 300 |
Alex Smalley | Greensboro NC | 350 |
Corey Conners | Listowel ON | 400 |
Harold Varner | Charlotte NC | 425 |
Mac Hughes | Charlotte NC | 425 |
Scott Stallings | Knoxville Ten | 525 |
Kevin Kisner | Aiken SC | 550 |
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 | 0.337 |
I love this place | 0.152 |
Ooh, that’s hot | 0.131 |
Location, location, location | 0.008 |