Mar
Perspectives on the Valspar Championship
NEW This Month
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 |
---|---|
Louis Oosthuizen | 0.763 |
Jason Kokrak | 0.734 |
Paul Casey | 0.658 |
Sam Burns | 0.621 |
Russell Knox | 0.565 |
Charl Schwartzel | 0.504 |
Charley Hoffman | 0.500 |
Bubba Watson | 0.498 |
Top of the heap
The top eight players (per the Hawley Ratings) among this week’s entries.
Player | Rank | Rating |
---|---|---|
Justin Thomas | 2 | 1332.9 |
Viktor Hovland | 5 | 1222.4 |
Dustin Johnson | 6 | 1217.3 |
Xander Schauffele | 7 | 1205.1 |
Collin Morikawa | 11 | 1097.5 |
Paul Casey | 12 | 1026.2 |
Louis Oosthuizen | 13 | 1021.4 |
Tyrrell Hatton | 15 | 939.6 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this week.
Player | Rank | Rating |
---|---|---|
Jon Rahm | 1 | 1482.4 |
Patrick Cantlay | 3 | 1259.2 |
Cameron Smith | 4 | 1233.8 |
Scottie Scheffler | 8 | 1179.9 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Viktor Hovland | 2140.0 |
Tyrrell Hatton | 1551.6 |
Keegan Bradley | 1214.0 |
Alex Noren | 1190.2 |
Matthew Fitzpatrick | 1082.9 |
Shane Lowry | 984.5 |
Patton Kizzire | 940.4 |
Adam Hadwin | 823.2 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Webb Simpson | -643.4 |
Charley Hoffman | -532.6 |
Cameron Tringale | -434.9 |
Brian Harman | -417.9 |
Matt Kuchar | -376.8 |
Michael Thompson | -356.6 |
Matt Wallace | -347.7 |
Charl Schwartzel | -342.5 |
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 week’s 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 |
---|---|
0.16 | Driving accuracy |
0.14 | Shots gained around the green |
0.12 | Shots gained off the tee |
0.12 | Shots gained in approach |
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 |
---|---|
Collin Morikawa | 71.40 |
Chez Reavie | 71.68 |
Hayden Buckley | 71.69 |
Keegan Bradley | 71.70 |
Abraham Ancer | 71.70 |
Viktor Hovland | 71.70 |
Bernd Wiesberger | 71.71 |
Matthew Fitzpatrick | 71.72 |
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 |
---|---|
Seung-yul Noh | 73.6 |
Martin Trainer | 73.4 |
Jonas Blixt | 73.2 |
Jimmy Walker | 73.2 |
David Skinns | 73.1 |
Brian Gay | 73.0 |
Sung Kang | 73.0 |
Ryan Brehm | 73.0 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and the event venue.
Player | Residence | Distance |
---|---|---|
Emiliano Grillo | Bradenton FL | 44 |
Brian Gay | Windermere FL | 75 |
Henrik Stenson | Orlando FL | 100 |
Hank Lebioda | Orlando FL | 100 |
Graeme McDowell | Orlando FL | 100 |
Hayden Buckley | Naples FL | 150 |
Russell Knox | Ponte Vedra Beach FL | 150 |
Tyler Duncan | Ponte Vedra Beach FL | 150 |
Lanto Griffin | Ponte Vedra Beach FL | 150 |
Ending with a little more math
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 |
---|---|
I love this place | 0.146 |
Top of the heap | 0.203 |
Ooh, that’s hot | 0.140 |
Location, location, location | 0.178 |