The amount of football data available is growing rapidly – with every passing week of the season more matches are played and even more data gets collected. This is great as it allows us to increase our understanding of the game but it also means we quickly end up with more information than could ever be analysed manually.
Instead, we can use techniques such as cluster analysis and principal component analysis (PCA) to critically analyse these large sets of football data to identify important patterns and relationships that can help explain a team’s performances.
Find out more by reading the full article on the Onside Analysis blog here.
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