Quantifying Net Playing Time and Its Tactical Consequences in Professional Football Using Event-Based Data Analytics

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Authors: Yuvraj Kanna N V
Cited by: 0

Abstract

This dataset contains the complete reproducible analysis pipeline for the paper "Quantifying Net Playing Time and Its Tactical Consequences in Professional Football Using Event-Based Data Analytics". It includes the Jupyter notebook with all analysis code, generated result tables, and figures from 219 elite international matches (614,489 event records) from FIFA World Cups 2018/2022 and FIFA Women's World Cups 2019/2023. The analysis covers net playing time estimation, stoppage decomposition, expected threat (xT) modelling, regression analysis, and machine learning predictions using open StatsBomb event data.

Fields of Study & Subjects

Sports Performance and Training Sports Analytics and Performance Sport Psychology and Performance

Publication details

Publication date
1 January 2026
Language
EN
Document type
Preprint