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Mathletics

Wayne L. Winston | Scott Nestler | Konstantinos Pelechrinis
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A01=Konstantinos Pelechrinis
A01=Scott Nestler
A01=Wayne L. Winston
Aaron Rodgers
Aaron Schatz
Accelerated failure time model
Accuracy and precision
Age Group_Uncategorized
Age Group_Uncategorized
Approximation error
Author_Konstantinos Pelechrinis
Author_Scott Nestler
Author_Wayne L. Winston
automatic-update
Batting Average
Bayesian average
Best
Bowl Championship Series
Calculation
Category1=Non-Fiction
Category=PBT
Category=SCG
Category=UNF
Category=WSD
Cincinnati Bengals
College Football Playoff
COP=United States
Credence (statistics)
Delivery_Delivery within 10-20 working days
Dick Vermeil
Dummy variable (statistics)
Eigenvalues and eigenvectors
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_sports-fitness
Estimation
Expected value
Fatigue (medical)
Field goal
FiveThirtyEight
Floor and ceiling functions
Frequentist inference
Garbage time
George Washington University
Green Bay Packers
Hot Hand
Jeff Ma
Language_English
Least squares
Line of scrimmage
Logistic regression
Mark's
Markov chain
Modernity
Monte Carlo method
NCAA Division II
Negative binomial distribution
Negro
New England Patriots
Normal distribution
Optimal decision
P-value
PA=Available
Percentage
Pittsburgh Steelers
Poisson binomial distribution
Poisson distribution
Prediction
Price_€20 to €50
Pro Football Focus
Probability
PS=Active
Pythagorean theorem
Racial segregation
Randomization
Renaissance Technologies
Result
Sigmoid function
softlaunch
Solver
Special case
Statcast
Steven Levitt
Strength and conditioning coach
Super Bowl LI
The Man with the Hoe
Theory of Games and Economic Behavior
Total quarterback rating
Touchdown
Two-point conversion
Value criterion
Variance
Winner's curse
worst and average case
Zero-Sum Game

Product details

  • ISBN 9780691177625
  • Dimensions: 155 x 235mm
  • Publication Date: 22 Feb 2022
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Description

How to use math to improve performance and predict outcomes in professional sports

Mathletics reveals the mathematical methods top coaches and managers use to evaluate players and improve team performance, and gives math enthusiasts the practical skills they need to enhance their understanding and enjoyment of their favorite sports—and maybe even gain the outside edge to winning bets. This second edition features new data, new players and teams, and new chapters on soccer, e-sports, golf, volleyball, gambling Calcuttas, analysis of camera data, Bayesian inference, ridge regression, and other statistical techniques. 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 more.
About Konstantinos Pelechrinis | Scott Nestler | Wayne L. Winston
Wayne L. Winston is the John and Esther Reese Professor of Decision Sciences at Indiana University’s Kelley School of Business. Scott Nestler is associate teaching professor at the University of Notre Dame’s Mendoza College of Business. Konstantinos Pelechrinis is associate professor at the University of Pittsburgh’s School of Computing and Information.

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