Statistics Slam Dunk


Book Description

Statistics Slam Dunk is an action-packed book that will help you build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. This textbook will upgrade your R data science skills by taking on practical analysis challenges based on NBA game and player data.




Win Shares


Book Description




The Hardball Times Baseball Annual 2008


Book Description

A comprehensive analysis of the entire 2007 baseball season from the first pitch to the last out, including a breakdown of the post season and the World Series. Key features include: ? Reviews of how 2005 played out in each of baseball's six divisions ? An in-depth look at the minor leagues ? Detailed team stats and graphs ? Team-by-team individual hitting and fielding numbers ? A postseason and World Series round up




Practicing Sabermetrics


Book Description

The past 30 years have seen an explosion in the number and variety of baseball books and articles. Following the lead of pioneers Bill James, John Thorn, and Pete Palmer, researchers have steadily challenged the ways we think about player and team performance--and along the way revised what we thought we knew of baseball history. This book by the authors of Understanding Sabermetrics (2008) goes beyond the explanation of new statistics to demonstrate their use in solving some of the more familiar problems of baseball research, such as how to compare players across generations; how to account for the effects of ballparks and rules changes; and how to measure the effectiveness of the sacrifice bunt or the range of the Gold Glove-winning shortstop. Instructors considering this book for use in a course may request an examination copy here.




Codermetrics


Book Description

How can you help your software team improve? This concise book introduces codermetrics, a clear and objective way to identify, analyze, and discuss the successes and failures of software engineers—not as part of a performance review, but as a way to make the team a more cohesive and productive unit. Experienced team builder Jonathan Alexander explains how codermetrics helps teams understand exactly what occurred during a project, and enables each coder to focus on specific improvements. Alexander presents a variety of simple and complex codermetrics, and teaches you how to create your own. Learn how codermetrics changes long-held assumptions and improves team dynamics Get recommendations for integrating codermetrics into existing processes Ask the right questions to determine the type of data you need to collect Use metrics to measure individual coder skills and a team’s effectiveness over time Identify the contributions each coder makes to the team Analyze the response to your software and its features—and verify that you're meeting team and organizational goals Build better teams, using codermetrics to make personnel adjustments and additions




The Bill James Handbook 2007


Book Description

This annual baseball reference guide includes pitcher projections, base running analysis, hitter projections, team efficiency summaries, player win-shares, manager's records, and more.




By The Numbers


Book Description

Every day on TV there is the debate on who is the Greatest of All Time. On Facebook whenever anyone posts anything about LeBron, that is instantly met with hate and reminder of his Finals record. Whenever anyone posts anything about MJ, it is instantly met the lack of athleticism of the era in which he played. The truth is no one has ever defined what it means to be the Greatest of All Time. Because no one has, there is no clear answer for who it is. This book makes differing arguments for multiple players based on differing definitions. This books explores what the numbers say, accounting and adjusting for different eras. Some of the analyses are straightforward, some of them are complex, but all of the results are data driven. Along the way, I teach some statistical concepts and cover basketball advanced statistics (sabermetrics reinterpreted for basketball). I encourage differing opinions. I hope this book appeals to different readers for different reasons.




Bill James Handbook 2016


Book Description

Here is the first-to-market, most comprehensive, and most fun annual reference guide to the complete lifetime stats on every player in the majors in 2015. New sections include “On the Black” analysis of how often specific pitchers hit the corners of the plate and “Times to First Base” on how fast specific batters get to first on balls in play. And, of course, there will be first projections on what players can be expected to do next season in every facet of the game.




Sabermetrics


Book Description

Sabermetrics: Baseball, Steroids, and How the Game has Changed Over the Past Two Generations offers an introduction to this increasing area of interest to statisticians, students of the game, and many others. Pairing a primer on the applied math with an overview of the origin of the field and its context within baseball today, the work provides an engaging resource for students and interested readers. It includes coverage of relevant baseball history, Bill James and SABR, broken records and steroids. Drawing on the author’s experience teaching the subject at Seton Hall University since 1988, Sabermetrics also offers practice questions and solutions for class use. Provides an accessible, brief introduction to the practice of sabermetrics Approaches the topic in context with recent trends and issues in baseball Includes questions and solutions for math practice




Sports Data Mining


Book Description

Data mining is the process of extracting hidden patterns from data, and it’s commonly used in business, bioinformatics, counter-terrorism, and, increasingly, in professional sports. First popularized in Michael Lewis’ best-selling Moneyball: The Art of Winning An Unfair Game, it is has become an intrinsic part of all professional sports the world over, from baseball to cricket to soccer. While an industry has developed based on statistical analysis services for any given sport, or even for betting behavior analysis on these sports, no research-level book has considered the subject in any detail until now. Sports Data Mining brings together in one place the state of the art as it concerns an international array of sports: baseball, football, basketball, soccer, greyhound racing are all covered, and the authors (including Hsinchun Chen, one of the most esteemed and well-known experts in data mining in the world) present the latest research, developments, software available, and applications for each sport. They even examine the hidden patterns in gaming and wagering, along with the most common systems for wager analysis.