27
Jan

A look at the AT&T Pebble Beach Pro-Am

Thomas Hawley 0 comment

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 .590 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 .270 puts a player in the top 10 percent.

Player History
Jason Day 0.704
Patrick Cantlay 0.608
Beau Hossler 0.608
Jordan Spieth 0.585
Tom Hoge 0.558
Peter Malnati 0.542
Nick Taylor 0.509
Seamus Power 0.474

Top of the heap

The top eight players (per the Hawley Ratings) among this event’s entries.

Player Rank Rating
Scottie Scheffler 1 2981.8
Rory McIlroy 3 2206.5
Collin Morikawa 4 1922.0
Patrick Cantlay 5 1894.1
Ludvig Aberg 6 1707.4
Russell Henley 7 1702.0
Tommy Fleetwood 8 1622.3
Hideki Matsuyama 9 1591.8

Sorry, can’t make it

The top four players (per the Hawley Ratings) who are not playing this event.

Player Rank Rating
Xander Schauffele 2 2479.9
Luke Clanton 13 1509.6
Tyrrell Hatton 18 1346.5
Jon Rahm 19 1332.3

Ooh, that’s hot

Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.

Player Upward change
Lee Hodges 1683.7
Harry Hall 1568.1
Nico Echavarria 1331.1
Keegan Bradley 921.6
JJ Spaun 887.3
Nick Taylor 824.5
Patrick Fishburn 772.1
Maverick McNealy 730.0

Brr, that’s cold

Players are ranked by performance in their last four appearances in comparison with their current Hawley Rating.

Player Downward change
Scottie Scheffler -1501.5
Wyndham Clark -999.3
Viktor Hovland -940.4
Si Woo Kim -841.0
Brian Harman -822.0
Sahith Theegala -773.5
Jordan Spieth -727.5
Aaron Rai -700.0

Certain skills required

Among a set of 10 PGA Tour and DP World Tour statistics that reflect physical characteristics of the event courses, this table shows the four that have the highest unique correlation with player performance. Events on these courses 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

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
Joel Dahmen 72.09
Aaron Rai 72.11
Daniel Berger 72.12
Doug Ghim 72.14
Henrik Norlander 72.15
Greyson Sigg 72.16
Si Woo Kim 72.16
Adam Svensson 72.17

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
Taylor Montgomery 72.7
Mac Hughes 72.6
Chris Gotterup 72.6
SH Kim 72.6
Peter Malnati 72.6
Davis Riley 72.5
Aaron Baddeley 72.5
Pierceson Coody 72.5

Staying close to home

Exempt entrants ranked by miles between their listed residence as of January 2025 and Pebble Beach CA, the event host city.

Player Residence Distance
Collin Morikawa La Canada, CA 275
JJ Spaun San Dimas, CA 300
Doug Ghim Las Vegas NV 375
Maverick McNealy Las Vegas, NV 375
Seamus Power Las Vegas, NV 375
Charley Hoffman Las Vegas, NV 375
Harry Hall Las Vegas, NV 375
Kurt Kitayama Henderson, NV 400

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 0.381
I love this place 0.179
Ooh, that’s hot 0.124
Location, location, location 0.011
Collin Morikawa
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