Jan
A look at the AT&T Pebble Beach Pro-Am
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 |
---|---|
Jordan Spieth | 0.826 |
Kevin Streelman | 0.662 |
Nick Taylor | 0.628 |
Troy Merritt | 0.609 |
Russell Knox | 0.517 |
Maverick McNealy | 0.503 |
Tom Hoge | 0.484 |
Joel Dahmen | 0.425 |
Top of the heap
The top eight players (per the Hawley Ratings) among this event’s entries.
Player | Rank | Rating |
---|---|---|
Matthew Fitzpatrick | 15 | 1266.0 |
Viktor Hovland | 16 | 1246.5 |
Jordan Spieth | 23 | 1097.1 |
Seamus Power | 32 | 964.5 |
Maverick McNealy | 33 | 945.9 |
Keith Mitchell | 44 | 860.7 |
Tom Hoge | 47 | 851.4 |
Ben Griffin | 51 | 838.6 |
Sorry, can’t make it
The top four players (per the Hawley Ratings) who are not playing this event.
Player | Rank | Rating |
---|---|---|
Patrick Cantlay | 1 | 1880.0 |
Jon Rahm | 2 | 1834.0 |
Rory McIlroy | 3 | 1822.2 |
Xander Schauffele | 4 | 1657.8 |
Ooh, that’s hot
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Upward change |
---|---|
Joel Dahmen | 1503.9 |
Robby Shelton | 668.1 |
Erik Barnes | 653.1 |
Callum Tarren | 623.6 |
Justin Rose | 608.2 |
Harry Higgs | 447.2 |
Alex Smalley | 413.9 |
Andrew Putnam | 310.2 |
Brr, that’s cold
Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.
Player | Downward change |
---|---|
Jordan Spieth | -856.8 |
Matthew NeSmith | -565.0 |
Keith Mitchell | -520.9 |
Webb Simpson | -514.8 |
Davis Riley | -492.4 |
Taylor Pendrith | -471.3 |
Scott Stallings | -458.9 |
Taylor Moore | -456.5 |
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 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 |
---|---|
0.06 | Putts per GIR |
0.03 | Driving distance |
0.02 | Shots gained in approach |
0.01 | Scrambling |
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 |
---|---|
Brandon Matthews | 71.27 |
Marcel Siem | 71.27 |
Joseph Bramlett | 71.29 |
Dean Burmester | 71.29 |
Trey Mullinax | 71.29 |
Thomas Detry | 71.29 |
Taylor Pendrith | 71.29 |
Matthias Schmid | 71.29 |
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 |
---|---|
Brian Gay | 71.5 |
David Lingmerth | 71.4 |
Scott Brown | 71.4 |
Brian Stuard | 71.4 |
Andrew Landry | 71.4 |
Zac Blair | 71.4 |
Paul Haley | 71.4 |
Aaron Baddeley | 71.4 |
Staying close to home
Exempt entrants ranked by miles between their listed residence as of January 2022 and the event venue.
Player | Residence | Distance |
---|---|---|
Martin Trainer | Palo Alto CA | 50 |
Justin Suh | Los Angeles Ca | 275 |
Doug Ghim | Las Vegas NV | 375 |
David Lipsky | Las Vegas NV | 375 |
Harry Hall | Las Vegas NV | 375 |
Maverick McNealy | Las Vegas NV | 375 |
Charley Hoffman | Las Vegas NV | 375 |
Seamus Power | Las Vegas NV | 375 |
Joseph Bramlett | Las Vegas NV | 375 |
Scott Piercy | Las Vegas NV | 375 |
Nick Watney | Las Vegas NV | 375 |
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 | 0.370 |
I love this place | 0.174 |
Ooh, that’s hot | 0.133 |
Location, location, location | 0.032 |