(EBOOK PDF) Mathletics How Gamblers Managers and Sports Enthusiasts Use Mathematics in Baseball Basketball and Football 1st Edition by Wayne Winston ISBN 0691154589 9780691154589 full chapters

Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics in Baseball, Basketball, and Football 1st Edition by Wayne L. Winston – Ebook PDF Instant Download/Delivery: 0691154589, 9780691154589

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Product details:

ISBN 10: 0691154589

ISBN 13: 9780691154589

Author:  Wayne L. Winston 

Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics in Baseball, Basketball, and Football 1st Edition: How math can be used to improve performance and predict outcomes in professional sports

Mathletics is a remarkably entertaining book that shows readers how to use simple mathematics to analyze a range of statistical and probability-related questions in professional baseball, basketball, and football, and in sports gambling. How does professional baseball evaluate hitters? Is a singles hitter like Wade Boggs more valuable than a power hitter like David Ortiz? Should NFL teams pass or run more often on first downs? Could professional basketball have used statistics to expose the crooked referee Tim Donaghy? Does money buy performance in professional sports?

In Mathletics, Wayne Winston describes the mathematical methods that top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical tools they need to enhance their understanding and enjoyment of their favorite sports―and maybe even gain the outside edge to winning bets. Mathletics blends fun math problems with sports stories of actual games, teams, and players, along with personal anecdotes from Winston’s work as a sports consultant. Winston uses easy-to-read tables and illustrations to illuminate the techniques and ideas he presents, and all the necessary math concepts―such as arithmetic, basic statistics and probability, and Monte Carlo simulations―are fully explained in the examples.

After reading Mathletics, you will understand why baseball teams should almost never bunt, why football overtime systems are unfair, why points, rebounds, and assists aren’t enough to determine who’s the NBA’s best player―and much, much more. In a new epilogue, Winston discusses the stats and numerical analysis behind some recent sporting events, such as how the Dallas Mavericks used analytics to become the 2011 NBA champions.

 

Mathletics: How Gamblers, Managers, and Sports Enthusiasts Use Mathematics in Baseball, Basketball, and Football 1st Edition Table of contents:

Part I: Baseball

• Baseball’s Pythagorean Theorem
• Who Had a Better Year: Mike Trout or Kris Bryant?
• Evaluating Hitters by Linear Weights
• Evaluating Hitters by Monte Carlo Simulation
• Evaluating Baseball Pitchers, Forecasting Future Pitcher Performance, and an Introduction to Statcast
• Baseball Decision Making
• Evaluating Fielders
• Win Probability Added (WPA)
• Wins Above Replacement (WAR) and Player Salaries
• Park Factors
• Streakiness in Sports
• The Platoon Effect
• Was Tony Perez a Great Clutch Hitter?
• Pitch Count, Pitcher Effectiveness, and PITCHf/x Data
• Would Ted Williams Hit .406 Today?
• Was Joe DiMaggio’s 56-Game Hitting Streak the Greatest Sports Record of All Time?
• Projecting Major League Performance

Part II: Football

• What Makes NFL Teams Win?
• Who’s Better: Brady or Rodgers?
• Football States and Values
• Football Decision Making 101
• If Passing Is Better than Running, Why Don’t Teams Always Pass?
• Should We Go for a One-Point or a Two-Point Conversion?
• To Give Up the Ball Is Better than to Receive: The Case of College Football Overtime
• Has the NFL Finally Gotten the OT Rules Right?
• How Valuable Are NFL Draft Picks?
• Player Tracking Data in the NFL

Part III: Basketball

• Basketball Statistics 101: The Four Factor Model
• Linear Weights for Evaluating NBA Players
• Adjusted +/− Player Ratings
• ESPN RPM and FiveThirtyEight RAPTOR Ratings
• NBA Lineup Analysis
• Analyzing Team and Individual Matchups
• NBA Salaries and the Value of a Draft Pick
• Are NBA Officials Prejudiced?
• Pick-n-Rolling to Win, the Death of Post Ups and Isos
• SportVU, Second Spectrum, and the Spatial Basketball Data Revolution
• In-Game Basketball Decision Making

Part IV: Other Sports

• Soccer Analytics
• Hockey Analytics
• Volleyball Analytics
• Golf Analytics
• Analytics and Cyber Athletes: The Era of e-Sports

Part V: Sports Gambling

• Sports Gambling 101
• Freakonomics Meets the Bookmaker
• Rating Sports Teams
• From Point Ratings to Probabilities
• The NCAA Evaluation Tool (NET)
• Optimal Money Management: The Kelley Growth Criterion
• Calcuttas

Part VI: Methods and Miscellaneous

• How to Work with Data Sources: Collecting and Visualizing Data
• Assessing Players with Limited Data: The Bayesian Approach
• Finding Latent Patterns through Matrix Factorization
• Network Analysis in Sports
• Elo Ratings
• Comparing Players from Different Eras
• Does Fatigue Make Cowards of Us All? The Case of NBA Back-to-Back Games and NFL Bye Weeks
• The College Football Playoff
• Quantifying Sports Collapses
• Daily Fantasy Sports

 

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