Chapman & Hall/CRC Data Science Series- Predictive Modelling for Football Analytics

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Discusses well-known models and main computational tools for the football analytics domain. Introduces footBayes R package that accompanies the reader through all examples proposed in the book. Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain. It further introduces the footBayes R package that…

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Description

Discusses well-known models and main computational tools for the football analytics domain. Introduces footBayes R package that accompanies the reader through all examples proposed in the book.

Predictive Modelling for Football Analytics discusses the most well-known models and the main computational tools for the football analytics domain. It further introduces the footBayes R package that accompanies the reader through all the examples proposed in the book. It aims to be both a practical guide and a theoretical foundation for students, data scientists, sports analysts, and football professionals who wish to understand and apply predictive modelling in a football context.

Key Features

  • Discusses various modelling strategies and predictive tools related to football analytics
  • Introduces algorithms and computational tools to check the models, make predictions, and visualize the final results
  • Showcases some guided examples through the use of the footBayes R package available on CRAN
  • Walks the reader through the full pipeline: from data collection and preprocessing, through exploratory analysis and feature engineering, to advanced modelling techniques and evaluation
  • Bridges the gap between raw football data and actionable insights

This text is primarily for senior undergraduates, graduate students, and academic researchers in the fields of mathematics, statistics, and computer science willing to learn about the football analytics domain. Although technical in nature, the book is designed to be accessible to readers with a background in statistics, programming, or a strong interest in sports analytics. It is well-suited for use in academic courses on sports analytics, data science projects, or professional development within football clubs, agencies, and media organizations.

LangueenVersionCouverture rigideDate de sortie initiale06 novembre 2025Nombre de pages246IllustrationsNon

Personnes impliquées

Auteur principal

Leonardo Egidi

Deuxième auteur

Dimitris Karlis

Editeur principal

Chapman & Hall/Crc

Informations sur le fabricant

Nom du fabricantTaylor & Francis Verlag GmbHAdresse du fabricant– 80331 – – DEAdresse électronique du fabricant[email protected]Informations sur le fabricantLes informations du fabricant ne sont actuellement pas disponibles

Autres spécifications

Hauteur de l’emballage19 mmLargeur d’emballage156 mmLargeur du produit156 mmLivre d‘étudeNonLongueur d’emballage234 mmLongueur du produit234 mmPoids de l’emballage640 g

EAN

EAN9781032030647

Sécurité des produits

Opérateur économique responsable dans l’UE

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Catégories

Art et Photographie

Science et nature

Sport et plein air

Psychologie

Musique

Méthodologie

Sport de ballon

Mathématiques

Football

Calcul des probabilités et statistiques

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Disponibilité

Disponible à l’adresse suivante

Langue

Anglais

Type de livre

Hardcover

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