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Example Math Projects in Basketball

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Math in Sports Symposium. Seattle, WA. May 13, 2006. BASKETBALL ... Sporting News, NBA Guide, NBA Register. Total Basketball. Internet. Dougstats.com. NBA.com ... – PowerPoint PPT presentation

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Title: Example Math Projects in Basketball


1
Example Math Projects in Basketball
  • Dean Oliver
  • Author, Basketball on Paper
  • Consultant to the Seattle Supersonics
  • Math in Sports Symposium
  • Seattle, WA
  • May 13, 2006

2
Possible Math Uses in Basketball
  • Checking data
  • Evaluating players
  • Evaluating contracts
  • Developing analysis tools
  • Checking tactics
  • Estimation of missing data, etc.
  • anything

3
Where to Get Data
  • Newspaper
  • Books
  • Sporting News, NBA Guide, NBA Register
  • Total Basketball
  • Internet
  • Dougstats.com
  • NBA.com
  • Basketball-Reference.com
  • 82games.com
  • Ask me

4
What Data Look Like
  • Who?
  • Player or player type
  • Ref
  • Team
  • Franchise
  • League
  • What?
  • Traditional stats
  • Calculated stats
  • Collect-your-own stats
  • Physical attributes
  • Financial data
  • When?
  • Career
  • Season
  • Game
  • Quarter
  • Possession
  • What level?
  • High school
  • College
  • Minor league
  • International
  • NBA

5
Analysis
  • Come up with questions
  • Who is better? (Right now? Individual
    production or help team to win by doing role?)
  • Should you double-team Shaquille ONeal? (How
    much? Reduce team or his efficiency?)
  • Are the Sixers better off without Allen Iverson?
    (Short or long term?)
  • How important is a bench or big contracts or
    biggest contract or a superstar? (To winning a
    championship?)
  • Cast things in terms of concepts
  • What statistics reflect winning?
  • Gather data
  • Seasonal and boxscore data readily available
  • Make estimates
  • Track own data
  • Do analyses
  • Set up equalities, inequalities
  • Set up time frame
  • Report in concrete terms
  • How to convince a non-math person?
  • Room for soft things, not measured

6
Example 1 Checking Data
  • Data from Dougstats.com

7
Example 1 Checking Data
  • Minutes Team Minutes Opponents
  • 1442 ? 1444
  • Sum of Individuals Team?
  • Minutes 116 121 1142
  • Sum of Games Started/5 Games?
  • (66666)/5 6
  • Minutes/5/Games 48 if no overtime?
  • 1442/30 48.066667 ? 48
  • Points 2FGM FG3M FTM
  • Team FGA FGM gt Team OREB Opp DREB

8
Example 2 Basic Analysis
  • Continuing with data from Dougstats.com
  • Why did Chicago lose to Miami?
  • Bulls couldnt handle Shaq
  • Tyson Chandlers injury
  • Big picture to little picture

9
Example 2 Basic Analysis
  • Offense or defense?
  • Possessions FGA OR 0.4FTA TOV
  • Average estimates to get 570.3
  • Rating Pts/Poss100
  • Offense 590/570.3100 103.5
  • Defense 608/570.3100 106.6
  • Playoff Avg 107.4

10
Example 2 Basic Analysis
  • Four Factor Analysis
  • eFG (FGM 0.5 FG3M)/FGA
  • O 0.497
  • D 0.514
  • Avg 0.498
  • TOV TOV/Poss
  • O 0.161
  • D 0.167
  • Avg 0.146

11
Example 2 Basic Analysis
  • Four Factor Analysis (cont.)
  • OR OR/(OR OppDR)
  • O 0.216
  • D 0.268
  • Avg 0.260
  • FTratio FTM/FGA
  • O 0.295
  • D 0.261
  • Avg 0.275

12
Example 2 Basic Analysis
  • Breaking down eFG
  • Was it Shaq?
  • What was wrong with the Bulls?

13
Example 2 Basic Analysis
  • Was it Shaq?

14
Example 2 Basic Analysis
  • What was wrong with the Bulls?

15
Example 3 Estimation of Rebounds
  • College data for Dwyane Wade (basketball-reference
    .com)
  • How many offensive and defensive rebounds?

16
Example 3 Rebound Estimation
  • Basic
  • Offensive rebounds are typically about 30 of
    total
  • Oreb 0.30420 126
  • Dreb 420 126 294

17
Example 3 Rebound Estimation
  • More detailed
  • From Chicago example, we see breakdown by
    position
  • Use PG info
  • Oreb 0.05420 21
  • Dreb 420-21 399

18
Example 3 Rebound Estimation
  • More information
  • In 2003, in 28 games, Wade had 52 offensive
    rebounds and 176 total rebounds
  • Set OREB x
  • x/209 52/176 gt x 61.75 62
  • Dreb 209 x
  • Percentage 61.75/209 29.5
  • Assume that percentage
  • OREB in 2002 0.295211 62
  • DREB in 2002 211-62 149

19
Example 4 Opponent Rebound Estimation
  • Available information from ESPN.com
  • In 31 games, Arizona 2002 had 334 offensive
    rebounds, 711 defensive rebounds (1045 total),
    and went 868-1878 from the field
  • In 26 games, Arizona 2002 opponents had 898 total
    rebounds and went 764-1723 from the field
  • What is their opponents offensive rebounding
    percentage?

20
Example 4 Opponent Rebound Estimation
  • Scale and assume 30?
  • Scale up TREB/31 898/26
  • TREB 1071, OREB 321, DREB 750
  • But
  • Team FGA FGM gt Team OREB Opp DREB
  • Arizona 1878-868 gt 334 750?
  • 1010 lt 1084
  • Opp (1723-764)31/26 gt 321 711?
  • 1143 gt1032

21
Example 4 Opponent Rebound Estimation
  • Assume same proportion of Total Rebounds to
    Missed Shots for Arizona and opponents
  • (AZ OR Opp DR)/(AZ FGA AZ FGM) (Opp OR AZ
    DR)/(Opp FGA Opp FGM)
  • Opp DR Opp OR 1071
  • 2 equations and 2 unknowns
  • Opp OR 412, Opp DR 658
  • OR are 38 of total
  • (next year, actual was 35)

22
Example 5 Unit Conversion
  • Lots of units in basketball
  • Per Game
  • Per 48 minutes
  • Per 40 minutes
  • Per Minute
  • Per Team Possession
  • Per Individual Possession

23
Example 6 Percentage of Shots Assisted
  • Data from NBA.com or Dougstats.com
  • Ray Allen 640-1494 FG, 289 AST, 3069 Minutes
  • Seattle team 2882-6495 FG, 1483 AST, 19755
    Minutes
  • Multiple factors affect asstd
  • Minutes played
  • Assists by teammates
  • FGM by teammates

24
Example 6 Percentage of Shots Assisted
  • One (bad) estimate
  • Asstd FG (Assists by teammates)/(Minutes by
    teammates)(Minutes by Player)
  • (TmAST AST)/(TmMin Min)Min
  • (1483-289)/(19755-3069)3069
  • 220
  • Doesnt consider FGM by player

25
Example 6 Percentage of Shots Assisted
  • Better estimate
  • Asstd Assists by teammates/FGM by teammates
  • Assists by teammates (TmAst/TmMin5Min Ast)
  • FGM by teammates (TmFGM/TmMin5Min FGM)
  • Considers all info, at least indirectly

26
Example 6 Percentage of Shots Assisted
  • Better estimate
  • Sum of chances of each player assisting others
  • 0.472 (Actual 47)
  • See Basketball on Paper, Appendix 1

27
Finally
  • Repeated experiments!
  • Use the structure of Basketball on Paper
  • Are players similar?
  • Play games
  • Chart games for data
  • Other suggestions?
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