Decision Making in American Football : Evidence from 7 Years of NFL - - PowerPoint PPT Presentation

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Decision Making in American Football : Evidence from 7 Years of NFL - - PowerPoint PPT Presentation

Decision Making in American Football : Evidence from 7 Years of NFL Data Konstantinos Pelechrinis Presented by Ke Zhang ECML/PKDD Machine Learning & Data Mining for Sports Analytics Riva del Garda, Italy 2016 COACHING DECISIONS ARE


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Decision Making in American Football:

Evidence from 7 Years of NFL Data Konstantinos Pelechrinis Presented by Ke Zhang

ECML/PKDD Machine Learning & Data Mining for Sports Analytics Riva del Garda, Italy 2016

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COACHING DECISIONS

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ARE COACHING DECISIONS RATIONAL?

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WHAT IS A RATIONAL DECISION?

A decision that maximizes the probability of winning

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WHAT IS A RATIONAL DECISION?

A decision that maximizes the probability of winning In the vast majority of the cases this is equivalent to maximizing the points scored

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SLIDE 6

WHAT IS A RATIONAL DECISION?

A decision that maximizes the probability of winning In the vast majority of the cases this is equivalent to maximizing the points scored The closer to the end of the game the less good the above approximation

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SLIDE 7

TWO CASE STUDIES

PAT decision 4th down decision

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SLIDE 8

DATA

NFL API

  • 7 years play-by-play data
  • 1,792 regular season games
  • 42,371 drives
  • 316,630 snaps
  • 9,021 touchdowns
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PAT DECISION

OR

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SLIDE 10

PAT DECISIONS

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PAT DECISIONS

E[p]= 2*

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PAT DECISIONS

E[p]= 2*

  • 1*
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PAT DECISIONS

E[p]= 2*

  • 1*

15 14 14 15 9 24 12 13 13 16 24 21 10 17 21 11 12 14 11 12 10 14 9 16 22 6 14 5 14 22 12 18

  • 0.50
  • 0.25

0.00 0.25 0.50 ARI ATL BAL BUF CAR CHI CIN CLE DAL DEN DET GB HOU IND JAC KC MIA MIN NE NO NYG NYJ OAK PHI PIT SD SEA SF STL TB TEN WAS

Expected Point Gain

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PAT DECISIONS

E[p]= 2*

  • 1*

15 14 14 15 9 24 12 13 13 16 24 21 10 17 21 11 12 14 11 12 10 14 9 16 22 6 14 5 14 22 12 18

  • 0.50
  • 0.25

0.00 0.25 0.50 ARI ATL BAL BUF CAR CHI CIN CLE DAL DEN DET GB HOU IND JAC KC MIA MIN NE NO NYG NYJ OAK PHI PIT SD SEA SF STL TB TEN WAS

Expected Point Gain

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SLIDE 15

4TH DOWN DECISION

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SLIDE 16

4TH DOWN DECISIONS

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4TH DOWN DECISIONS

  • 0.4

0.0 0.4 0.8 1.2 10 20 30

Yards to go 4th down converstion success rate

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4TH DOWN DECISIONS

  • 0.4

0.0 0.4 0.8 1.2 10 20 30

Yards to go 4th down converstion success rate

0.0 0.4 0.8 20 30 40 50 60 70

Distance (yards) Probability of FG Success

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4TH DOWN DECISIONS

  • 0.4

0.0 0.4 0.8 1.2 10 20 30

Yards to go 4th down converstion success rate

0.0 0.4 0.8 20 30 40 50 60 70

Distance (yards) Probability of FG Success

Touchback line

0.00 0.25 0.50 0.75 1.00 25 50 75 100

Distance to Goal Line at the Beginning of the Drive Probability of Success

type TD FG Fail

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4TH DOWN DECISIONS

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4TH DOWN DECISIONS

Touchback

  • 2

2 4 25 50 75 100

Distance to the Goal Line when 4th down Expected Points Gained

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CONCLUSIONS & LIMITATIONS

  • Coaching decisions seem to follow the status quo rather than

being rational

  • Coaches of course might not want to maximize the points

score but rather minimize the variance for the points scored

  • Current analysis is only focused on offensive unit decisions
  • Objective: maximize the point differential
  • The estimates of the fourth down conversion rate can be biased

as alluded to above

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SLIDE 23

13

Questions can be directed to kpele@pitt.edu @kpelechrinis Every snap is a data point! http://fivethirtyeight.com/features/the-high-school-football-coach- who-never-punts/

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SLIDE 24

4TH DOWN DECISIONS