Mathletics : how gamblers, managers, and fans use mathematics in sports.
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| Main Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Princeton :
Princeton University Press,
[2022]
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| Edition: | 2nd edition / |
| Subjects: |
Table of Contents:
- Preface
- Acknowledgments
- Abbreviations
- Part 1: Baseball
- 1: Baseball's Pythagorean Theorem
- 2: Who had a better year, Mike Trout or Kris Bryant?
- 3: Evaluating hitters by linear weights
- 4: Evaluating hitters by Monte Carlo simulation
- 5: Evaluating baseball pitchers, forecasting future pitcher performance, and an introduction to Statcast
- 6: Baseball decision-making
- 7: Evaluating fielders
- 8: Win probability added (WPA)
- 9: Wins above replacement (WAR) and player salaries
- 10: Park factors
- 11: Streakiness in sports
- 12: The platoon effect
- 13: Was Tony Perez a great clutch hitter?
- 14: Pitch count, pitcher effectiveness, and PITCHf/x data
- 15: Would Ted Williams hit .406 today?
- 16: Was Joe DiMaggio's 56-game hitting streak the greatest sports record of all time?
- 17: Projecting major league performance
- Part 2: Football
- 18: What makes NFL teams win?
- 19: Who's better: Brady or Rodgers?
- 20: Football states and values
- 21: Football decision-making 101
- 22: If passing is better than running, why don't teams always pass?
- 23: Should we go for a one-point or two-point conversion?
- 24: To give up the ball is better than to receive : the case of college football overtime
- 25: Has the NFL finally gotten the OT rules right?
- 26: How valuable are NFL draft picks?
- 27: Player tracking data in the NFL
- Part 3: Basketball
- 28: Basketball statistics 101 : the four-factor model
- 29: Linear weights for evaluating NBA players
- 30: Adjusted +/- player ratings
- 31: ESPN RPM and FiveThirtyEight RAPTOR ratings
- 32: NBA lineup analysis
- 33: Analyzing team and individual matchups
- 34: NBA salaries and the value of a draft pick
- 35: Are NBA officials prejudiced?
- 36: Pick-n-rolling to win, the death of post ups and isos
- 37: SportVU, Second Spectrum, and the spatial basketball data revolution
- 38: In-game basketball decision making
- Part 4: Other sports
- 39: Soccer analytics
- 40: Hockey analytics
- 41: Volleyball analytics
- 42: Golf analytics
- 43: Analytics and cyber athletes : the era of e-sports
- Part 5: Sports gambling
- 44: Sports gambling 101
- 45: Freakonomics meets the bookmaker
- 46: Rating sports teams
- 47: From point ratings to probabilities
- 48: The NCAA evaluation tool (NET)
- 49: Optimal money management : the Kelley growth criterion
- 50: Calcuttas
- Part 6: Methods and miscellaneous
- 51: How to work with data sources : collecting and visualizing data
- 52: Assessing players with limited data : the Bayesian approach
- 53: Finding latent patterns through matrix factorization
- 54: Network analysis in sports
- 55: Elo ratings
- 56: Comparing players from different eras
- 57: Does fatigue make cowards of us all? The case of NBA back-to-back games and NFL bye weeks
- 58: The college football playoff
- 59: Quantifying sports collapses
- 60: Daily fantasy sports
- Bibliography
- Index.