16
Aug

Perspectives on the BMW Championship

Thomas Hawley 0 comment

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
Matthew Fitzpatrick
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