The Rise of Moneyball: Utilizing Data and Analytics in Football Transfer Market

The last summer transfer session was characterized at Milan by the term Moneyball. A long debate opened on the topic, between those who supported its use with enthusiasm and those who instead fueled some doubts. In detail we will see what exactly this method is, tracing the characteristic lines of this new solution for playing football and, more broadly, sport. The results are already arriving and are there for all to see.

Moneyball is an algorithm that aims to exploit numbers, data, individual characteristics and player history. All with the aim of having a prediction model and therefore being able to answer objective questions about the needs of the different players and how to act on each of them. The use of this algorithm can also be applied in the transfer market, so as to purchase players who are perhaps undervalued for various reasons, who satisfy the team’s needs based on the missing or requested numbers. This clearly impacts positively on the economic health of a club. The optimization of expenses is a value that everyone will have to aim for and on which Milan has decided to focus its beliefs with strong determination in order to have a stable and successful future over time.

The creator of the Moneyball method is Billy Beane, former manager of the Oakland Athletics, an American baseball team. His MLB team managed to put together the longest consecutive winning streak in history, relying on the transfer market using data and numbers and not on names. Alongside Billy Beane was Paul DePodesta, assistant for the work on sabermetrics, a term coined by the baseball writer and historian Bill James: it derives from SABR, or acronym for Society for American Baseball Research.

In detail, sabermetrics effectively consists in the study and analysis of baseball through statistics, so as to coordinate the player market, but also their nutrition and training. The association that has been made in football of sabermetrics and Moneyball has the aim of establishing the value of a player in past seasons and tracing what his value could be in the future. We thus try to find an objective answer to questions: applied to football, who will score the most goals, who will have the opportunity to make the most passes and many other analytical data.

Cardinale was inspired by Beane regarding a possible investment in Europe. Beane thus arrives in Milan as a consultant for the Milan transfer market, looking for names who can be objectively useful in the areas in which the Rossoneri. Fewer purchases based on the name they carry, more purchases based on facts and numbers in their career.

2023-10-08 11:21:44
#Moneyball #method #Milan

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