Data Analytics in Football offers scholars, researchers and coaches with a company grounding within the ideas of recent functionality research. It deals an perception into using positional facts, exploring the way it might be accrued, modelled, analysed and interpreted. Introducing state-of-the-art equipment, the ebook demanding situations long-held assumptions and encourages a brand new mind set approximately soccer analysis.
Based on info gathered from the German Bundesliga and the UEFA Champions League, the publication seeks to outline the position of positional facts in soccer fit research by way of exploring themes such as:
- What is positional facts research and the way did it emerge from traditional fit analysis?
- How can positional info be gathered and which applied sciences should be used?
- What are the advantages of a data-driven method of choice making in football?
- What Key functionality symptoms in response to positional info will be used?
- How can conventional fit research be complemented through the use of positional facts and complicated KPIs?
- How can those new tools evolve within the future?
Accessibly written, packed choked with examples from elite soccer and supplemented with specialist interviews (Ralf Rangnick, Urs Siegenthaler and others), Data Analytics in Football is a thought-provoking, carefully evidence-based consultant to using information analytics in soccer functionality research. As such, it's a important source for any pupil, researcher or trainer drawn to functionality research and ability acquisition, or a person attracted to soccer extra generally.
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Extra resources for Data Analytics in Football: Positional Data Collection, Modelling and Analysis
Data Analytics in Football: Positional Data Collection, Modelling and Analysis