Mathletics: How gamblers, managers, and fans use mathematics in sports
How to use math to improve performance and predict outcomes in professional sportsMathletics 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 en...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ
Princeton University Press
[2022]
|
| Ausgabe: | second edition |
| Schlagworte: | |
| Online-Zugang: | FAB01 FAW01 FCO01 FHA01 FKE01 FLA01 UPA01 Volltext |
| Zusammenfassung: | How to use math to improve performance and predict outcomes in professional sportsMathletics 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 |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2022) |
| Beschreibung: | 1 Online-Ressource (608 Seiten) Illustrationen |
| ISBN: | 9780691189291 |
| DOI: | 10.1515/9780691189291 |
Internformat
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| 520 | |a How to use math to improve performance and predict outcomes in professional sportsMathletics 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 | ||
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Datensatz im Suchindex
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| discipline | Sport |
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| doi_str_mv | 10.1515/9780691189291 |
| edition | second edition |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:19:55Z |
| indexdate | 2024-07-10T09:23:35Z |
| institution | BVB |
| isbn | 9780691189291 |
| language | English |
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| spelling | Winston, Wayne L. 1950- Verfasser (DE-588)134241614 aut Mathletics How gamblers, managers, and fans use mathematics in sports Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis second edition Princeton, NJ Princeton University Press [2022] © 2019 1 Online-Ressource (608 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Mrz 2022) How to use math to improve performance and predict outcomes in professional sportsMathletics 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 In English COMPUTERS / Database Management / Data Mining bisacsh Sports Mathematics Nestler, Scott Sonstige (DE-588)1256072176 oth Pelechrinis, Konstantinos ca. 20./21. Jh. Sonstige (DE-588)1199469866 oth https://doi.org/10.1515/9780691189291 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Winston, Wayne L. 1950- Mathletics How gamblers, managers, and fans use mathematics in sports COMPUTERS / Database Management / Data Mining bisacsh Sports Mathematics |
| title | Mathletics How gamblers, managers, and fans use mathematics in sports |
| title_auth | Mathletics How gamblers, managers, and fans use mathematics in sports |
| title_exact_search | Mathletics How gamblers, managers, and fans use mathematics in sports |
| title_exact_search_txtP | Mathletics How gamblers, managers, and fans use mathematics in sports |
| title_full | Mathletics How gamblers, managers, and fans use mathematics in sports Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis |
| title_fullStr | Mathletics How gamblers, managers, and fans use mathematics in sports Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis |
| title_full_unstemmed | Mathletics How gamblers, managers, and fans use mathematics in sports Wayne L. Winston, Scott Nestler, Konstantinos Pelechrinis |
| title_short | Mathletics |
| title_sort | mathletics how gamblers managers and fans use mathematics in sports |
| title_sub | How gamblers, managers, and fans use mathematics in sports |
| topic | COMPUTERS / Database Management / Data Mining bisacsh Sports Mathematics |
| topic_facet | COMPUTERS / Database Management / Data Mining Sports Mathematics |
| url | https://doi.org/10.1515/9780691189291 |
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