Scoring Chance
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How to Win the Premier League
THE SUNDAY TIMES BESTSELLER AND A FINANCIAL TIMES, SUNDAY TIMES AND TELEGRAPH BOOK OF THE YEAR 2024 'The best book on football I have ever read' Daniel Finkelstein 'Fascinating and educational. An enjoyable and informative read' Sir Kenny Dalglish 'Deserves a place among the great modern books on football' Sam Wallace, chief football writer, Telegraph ______________________________ The insider account of the data revolution that has swept through the modern football world written by one of its key architects, Ian Graham. Between 2012 and 2023, Ian Graham worked as Liverpool FC's Director of Research. His tenure coincided with the club’s greatest period of success since the 1980s, including winning the Premier League in 2020 – Liverpool’s first league title after an agonising three decades. Here for the first time, Graham reveals the fascinating data that informed some of the club’s most pivotal moments of the past decade, from the appointment of Jurgen Klopp as manager in 2015 to the signing of Mohamed Salah in 2017. Along the way, he shares groundbreaking insight into the modern game, including how a season largely played behind closed doors transformed our understanding of home team advantage, or why the GOAT (greatest of all time) might not be who you think. And, in a game that is increasingly dominated by an elite few, Graham charts a path for the future where a data-savvy competitor will always find the edge. ______________________________ 'A fascinating, witty and remarkably insightful account of Liverpool's reinvention and a clear-eyed, detailed explanation of the inner workings of modern football. Nobody is better qualified to tell either of those stories than Ian Graham, who stands as one of the most (quietly) significant figures in the recent history of the club and the sport' Rory Smith, author of Expected Goals and Chief Soccer Correspondent, New York Times 'Never before has the data revolution in football been described so well from the inside.' Christoph Biermann, author of Football Hackers ‘How to Win the Premier League gives you three books for the price of one: a book about all of the silly inefficiencies plaguing European football, a book about what it's like to be empowered to use outside-the-box thinking to help turn your boyhood club into the best team in the world, and a book about how football actually works. If he really wanted to, Ian could easily put me out of a job.’ Ryan O’Hanlon, author of Net Gains and staff writer ESPN *A Sunday Times bestseller August 2024
Towards Affordance-Based Robot Control
Author: Erich Rome
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-02-11
Today’s mobile robot perception is insufficient for acting goal-directedly in unconstrained, dynamic everyday environments like a home, a factory, or a city. Subject to restrictions in bandwidth, computer power, and computation time, a robot has to react to a wealth of dynamically changing stimuli in such environments, requiring rapid, selective attention to decisive, action-relevant information of high current utility. Robust and general engineering methods for effectively and efficiently coupling perception, action and reasoning are unavailable. Interesting performance, if any, is currently only achieved by sophisticated robot programming exploiting domain features and specialties, which leaves ordinary users no chance of changing how the robot acts. The purpose of this volume - outcome of a GI-Dagstuhl Seminar held in Dagstuhl Castle in June 2006 - is to give a first overview on the concept of affordances for the design and implementation of autonomous mobile robots acting goal-directedly in a dynamic environment. The aim is to develop affordance-based control as a method for robotics. The potential of this new methodology will be shown by going beyond navigation-like tasks towards goaldirected autonomous manipulation in the project demonstrators.
Artificial Intelligence and Machine Learning in Sports Science
This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports practice. In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science. An outlook also addresses ethical issues concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research.