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Out of Left FIeld: Improbable Stories in Sports Analytics

by Stephanie Kovalchik
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Current price ₹4,289.00
Original price ₹5,719.00
Original price ₹5,719.00
Original price ₹5,719.00
(-25%)
₹4,289.00
Current price ₹4,289.00

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Book cover type: Hardcover
  • ISBN13: 9783982847719
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Tredition Gmbh
  • Publisher Imprint: Tredition Gmbh
  • Publication Date:
  • Pages: 356
  • Original Price: GBP 43.99
  • Language: English
  • Edition: N/A
  • Item Weight: 799 grams
  • BISAC Subject(s): Baseball / Statistics

Mathematics has never been the obvious path into sport. Yet a handful of outsiders, armed with statistics, curiosity, and persistence, have profoundly changed how games are played and understood.

This book reveals how quantitative ideas can take root and how a rare few, working far from the spotlight, have left a lasting imprint on modern sport.

From the birth of modern rating systems in the 1960s to today's modeling of player-tracking data, each chapter traces a pivotal statistical breakthrough and the people behind it. Many of these stories follow surprising arcs, from a chess-loving physics professor who devised one of sport's most enduring player rating systems to a Canadian statistician who, despite little initial interest in sport, built one of the most influential research labs in sports analytics. Each chapter gives an account of how a technical idea emerges, evolves, and spreads across global sport, both within and well beyond baseball.

Ultimately, this book is a tribute to outsider thinking in sport.

It honors those who found greater satisfaction in a better model than in recognition, who expressed their passion for games through patient analysis, and who were ready, when the right question appeared, to apply their training with clarity and resolve.

Kovalchik, Stephanie: - Stephanie Kovalchik is a Senior Manager of Data Science at Teamworks, where she develops data-driven methods to improve athlete performance and decision-making. She holds a BS from the California Institute of Technology and an MS and PhD in Biostatistics from the University of California, Los Angeles.

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