Soccer Analytics

Learning the soccer transfer market through text analytics

With soccer’s January transfer window set to open in a matter of days, rumours about potential blockbuster transfers are already brewing. Given the chaotic nature of this past summer’s transfer window amidst a global pandemic, there was no shortage of uncertainty and speculation in the market. In this QSAO article, analyst Rylen Sampson uses text data from various soccer blogs to determine the legitimacy of various transfer sagas from this past summer and makes predictions for January’s transfer window.

Predicting the 2020 Ballon D\’Or Winner using historical data

France Football’s decision not to award a 2020 Ballon d\’Or has come with much controversy. Many fans feel that 2020 standout Robert Lewandowski was robbed of the honour, while others debate Lionel Messi put up an admirable defence of the award. In this article, QSAO Analyst Ryan Reid formulates a predictive model in which he uses to determine which factors define a Ballon D’Or winner and ultimately predict the 2020 winner.