James J. Cochran earned a PhD in Statistics from the University of Cincinnati in 1997. He was a founding co-chair of Statistics Without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. He is a Fellow of the ASA, a recipient of the ASA's Founders Award, and a recipient of the Karl E. Peace Award for outstanding statistical contributions for the betterment of society.Jay Bennett studied at Colgate University and the University of Michigan, and later obtained a Ph.D. from Temple University. He has worked and performed research in the areas of computer science, operations research, and telecommunications. He was the editor of Statistics in Sport and the co-author (with Jim Albert) of Curve Ball.Jim Albert has authored Teaching Statistics Using Baseball, and co-authored Curve Ball (with Jay Bennett) and Analyzing Baseball with R (with Max Marchi). He is a previous editor of the Quantitative Analysis of Sports. His research interests include Bayesian inference, statistics education, and statistical thinking in sports.

This book would be a useful addition to any library of statistical literature to have at hand for both personal enjoyment and also for supplementing discussions in a classroom setting.

• BASEBALL; OLYMPICS/TRACK & FIELD; AMERICAN FOOTBALL; CRICKET; GOLF; SOCCER; OTHER SPORTS; MISCELLANEOUS

James J. Cochran earned a PhD in Statistics from the University of Cincinnati in 1997. He was a founding co-chair of Statistics Without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. He is a Fellow of the ASA, a recipient of the ASA's Founders Award, and a recipient of the Karl E. Peace Award for outstanding statistical contributions for the betterment of society.Jay Bennett studied at Colgate University and the University of Michigan, and later obtained a Ph.D. from Temple University. He has worked and performed research in the areas of computer science, operations research, and telecommunications. He was the editor of Statistics in Sport and the co-author (with Jim Albert) of Curve Ball.Jim Albert has authored Teaching Statistics Using Baseball, and co-authored Curve Ball (with Jay Bennett) and Analyzing Baseball with R (with Max Marchi). He is a previous editor of the Quantitative Analysis of Sports. His research interests include Bayesian inference, statistics education, and statistical thinking in sports.

This book would be a useful addition to any library of statistical literature to have at hand for both personal enjoyment and also for supplementing discussions in a classroom setting.

• BASEBALL; OLYMPICS/TRACK & FIELD; AMERICAN FOOTBALL; CRICKET; GOLF; SOCCER; OTHER SPORTS; MISCELLANEOUS

James J. Cochran earned a PhD in Statistics from the University of Cincinnati in 1997. He was a founding co-chair of Statistics Without Borders and a member of the founding committee for INFORMS Pro Bono Analytics initiative. He is a Fellow of the ASA, a recipient of the ASA's Founders Award, and a recipient of the Karl E. Peace Award for outstanding statistical contributions for the betterment of society.Jay Bennett studied at Colgate University and the University of Michigan, and later obtained a Ph.D. from Temple University. He has worked and performed research in the areas of computer science, operations research, and telecommunications. He was the editor of Statistics in Sport and the co-author (with Jim Albert) of Curve Ball.Jim Albert has authored Teaching Statistics Using Baseball, and co-authored Curve Ball (with Jay Bennett) and Analyzing Baseball with R (with Max Marchi). He is a previous editor of the Quantitative Analysis of Sports. His research interests include Bayesian inference, statistics education, and statistical thinking in sports.

This book would be a useful addition to any library of statistical literature to have at hand for both personal enjoyment and also for supplementing discussions in a classroom setting.

• BASEBALL; OLYMPICS/TRACK & FIELD; AMERICAN FOOTBALL; CRICKET; GOLF; SOCCER; OTHER SPORTS; MISCELLANEOUS