Data Analytics in Football presents scholars, researchers and coaches with an organization grounding within the rules of contemporary functionality research. It deals an perception into using positional info, exploring the way it might be amassed, modelled, analysed and interpreted. Introducing state-of-the-art equipment, the publication demanding situations long-held assumptions and encourages a brand new mind set approximately soccer analysis.
Based on info accrued from the German Bundesliga and the UEFA Champions League, the publication seeks to outline the function of positional info in soccer fit research by means of exploring subject matters such as:
- What is positional facts research and the way did it emerge from traditional fit analysis?
- How can positional information be amassed and which applied sciences may be used?
- What are the advantages of a data-driven method of determination making in football?
- What Key functionality symptoms in response to positional information could be used?
- How can conventional fit research be complemented through the use of positional facts and complex 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 facts analytics in soccer functionality research. As such, it's a very important source for any pupil, researcher or trainer attracted to functionality research and ability acquisition, or someone 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