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ShotLink: The PGA TOUR's Data Collection System How it is used; - PowerPoint PPT Presentation

Jul 12, 2023 •136 likes •363 views

ShotLink: The PGA TOUR's Data Collection System How it is used; what has been learned Steve Evans SVP Information Systems Introduction ShotLink Supports: 3 TOURs: PGA TOUR, Champions Tour, Nationwide Tour 100 tournaments Agenda

  1. ShotLink: The PGA TOUR's Data Collection System – How it is used; what has been learned Steve Evans SVP Information Systems

  2. Introduction • ShotLink Supports: – 3 TOURs: PGA TOUR, Champions Tour, Nationwide Tour – 100 tournaments

  3. Agenda • Collecting Data: The ShotLink System – How ShotLink works – Our data set • Distributing Data: How is it used? – Fan Enhancements • Analyzing Data: What have we learned? – Enhanced Broadcast Statistics – Improving Amateur Play – New Stats to Measure Professional Play • ShotLink Intelligence / Prize

  4. Collecting Data: The ShotLink System The Vision: • To turn data into information, - information into knowledge, - knowledge into entertainment • “Every Shot, Every Player, Real Time”

  5. Volunteers Volunteers Laser Operators Walking Scorers

  6. A Summary of our Data Set – Across 3 Tours • Tournament Results from 1916 – present * • 1983 – 1992: Round statistics • 1992 – 2001: Hole by hole statistics • 2001 – 2002: Shot-level data ** • 2003 – present: Quality shot-level data *** * 1916 – 1980 contains results that may be incomplete ** 2001 – 2002 Shot-level data at varying levels of quality (Ramp up period for ShotLink) *** Shot-level data available for PGA TOUR only

  7. A Summary of our Data Set – Across 3 Tours • 9,000 Tournaments • 4,000 Courses • 28,000 Players • 741,000 Results Records (1 per player per event) • 1,000,000 Scorecards • 18,000,000 Hole-level entries • 21,000,000 Shot-level entries • Highly structured data set • Distance data accurate to +/- 2” on the green and +/- 1 yard on the fairway (on average)

  8. Distributing Data: How is it Used? Internet G G e e o o ff O ff O g g ilv ilv y y v v s s . T . T h h e e 2 2 0 0 0 0 9 9 M M e e r r c c e e d d e e s s -B -B e e n n z z C C h h a a m m p p io io n n s s h h ip ip F F ie ie ld ld S S ta ta t t W W in in n n e e r r R R a a n n k k W W in in n n e e r r S S ta ta t t F F ie ie ld ld A A v v g g . . G G IR IR P P e e rc rc e e n n ta ta g g e e -1 -1 2 2 5 5 -1 -1 5 5 0 0 y y a a rd rd s s T T 1 1 s s t t 1 1 0 0 0 0 % % 7 7 8 8 % % A A p p p p ro ro a a c c h h e e s s fro fro m m 1 1 2 2 5 5 -1 -1 5 5 0 0 y y a a rd rd s s 2 2 n n d d 1 1 6 6 ' 0 ' 0 " " 2 2 8 8 ' 5 ' 5 " " B B ird ird ie ie o o r B r B e e tte tte r P r P c c t -1 t -1 2 2 5 5 -1 -1 5 5 0 0 y y a a rd rd s s T T 4 4 th th 3 3 3 3 % % 1 1 8 8 % % G G IR IR P P e e rc rc e e n n ta ta g g e e -1 -1 0 0 0 0 -1 -1 2 2 5 5 y y a a rd rd s s T T 1 1 s s t t 1 1 0 0 0 0 % % 7 7 9 9 % % A A p p p p ro ro a a c c h h e e s s fro fro m m 1 1 0 0 0 0 -1 -1 2 2 5 5 y y a a rd rd s s 7 7 th th 1 1 6 6 ' 3 ' 3 " " 2 2 1 1 ' 1 ' 1 0 0 " " A A p p p p ro ro a a c c h h 1 1 0 0 0 0 -1 -1 2 2 5 5 y y a a rd rd s s (R (R T T P P S S c c o o re re ) ) T T 2 2 n n d d -.5 -.5 0 0 0 0 -.1 -.1 8 8 7 7 G G IR IR P P e e rc rc e e n n ta ta g g e e -< -< 1 1 2 2 5 5 y y a a rd rd s s 6 6 th th 9 9 3 3 % % 8 8 7 7 % % A A p p p p ro ro a a c c h h e e s s < < 1 1 2 2 5 5 y y a a rd rd s s (R (R o o u u g g h h ) ) 6 6 th th 1 1 6 6 ' 9 ' 9 " " 2 2 9 9 ' 0 ' 0 " " A A p p p p ro ro a a c c h h < < 1 1 2 2 5 5 y y a a rd rd s s (R (R T T P P S S c c o o re re ) ) T T 3 3 rd rd -.3 -.3 1 1 6 6 -.1 -.1 6 6 9 9 B B ird ird ie ie o o r B r B e e tte tte r P r P c c t -< t -< 1 1 2 2 5 5 y y a a rd rd s s T T 5 5 th th 3 3 1 1 % % 2 2 5 5 % %

  9. Distributing Data: Fan Enhancements • Introduction of color LED Scoreboards

  10. Distributing Data: Fan Enhancements • Expansion of large format video walls

  11. Distributing Data: Fan Enhancements • Mobile Device Policy

  12. Analyzing Data: What Have we Learned? Ten years of ShotLink Data - • Better broadcast statistics • Compare amateur data to the professionals • Introduction of new stats – Strokes Gained - Putting

  13. Analyzing Data: Broadcast Statistics

  14. Dave Pelz Analysis of Amateur Play at the WAHC 20-Handicap 30-Handicap • • Short : 44% • Short : 55% • Made : 6% • Made : 4% • Long : 50% • Long : 41%

  15. Dave Pelz Analysis of Amateur Play at the WAHC 0-Handicap • Short : 44% • Made : 10% • Long : 46%

  16. Dave Pelz Analysis of Amateur Play at the WAHC TOUR Pro • Short : 15% • Made : 15% • Long : 70%

  17. Stroked Gained - Putting • A result of our ShotLink Intelligence program which is powered by CDW • New stat in 2011 • Based on research from Columbia University (Broadie) extended by MIT (Graves) • First putting stat that values the distance of the putt • Which is better: A 2-putt from 8' or a 2-putt from 33'? – At 7' 8" a 2-putt loses ½ a stroke – At 33' a 2-putt neither gains nor loses strokes

  18. Strokes Gained - Putting • If you miss two 8' putts, you lose 1 stroke • Which means… – You have to make two additional 8' putts… OR – You have to make a 14' putt and a 5' putt… OR – You have to make a 100' putt… – Just to get back to even! • 70% of PGA TOUR winners finish the event ranking in the top 15. They average 1.25 strokes per round better than the field in those victories

  19. Introducing: The ShotLink Intelligence Prize

  20. ShotLink Intelligence Prize • Challenges Academics to find the best use of ShotLink Data • Available to all ShotLink Intelligence Participants • Details available at www.pgatour.com/ShotLinkIntelligence • Papers Due November 1, 2012 • Best paper receives $25,000 technology gift for their university • Winner Announced no later than March 31, 2013 • Working with The Journal of Quantitative Analysis in Sports (JQAS) regarding a special golf issue

  21. These Guys Are Good

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