In this report we analyze and discuss the problem of predicting the Olympics medals table. The work presented here is informed by the ideas and findings of entrants to a Royal Statistical Society prediction competition, who competed to predict the medals table for the 2024 Olympic Games in Paris. The entrants, who shared their predictions and methods, were: Jason West, Lexie Bonas, Alec Erskine, Joe Penn, Matt Penn, Fernando Zepeda, John Souza, John Edwards, Christopher Wharton, Ian Simpson, Orla Simpson, Tom Haynes, Mohamed Hammeda, Anik Saha, Amanda, John Fraser, Kaito Goto, Harry Snart and Chris Oates. The competition entrants were given only a couple of weeks` notice of the deadline and, in practice, few of them could devote more than a few hours to their submissions. In this way the competition acted as a case study in the utility of statistical ideas and software in the context of low computation- and time-budgets for model building and checking.
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