Anderson appeared to be an ideal acquisition for a leading Premier League club. The 23-year-old had established himself as a vital contributor for Nottingham Forest, and his English nationality solidified his standing within the national team.
Manchester City outmaneuvered other elite clubs, including Manchester United, to secure his signature. On the surface, the decision seemed straightforward. However, the manner in which City evaluated him highlights their remarkably analytical approach, even when a candidate’s obvious talent might otherwise suggest a comprehensive search was unnecessary.
The fact that they relied on their algorithm and followed their standard protocols speaks volumes about contemporary elite football and the inherent limitations of relying solely on data. Surprisingly, Anderson’s initial metrics did not immediately stand out.
At the beginning of the previous season, amid uncertainty surrounding Guardiola’s future, the club recognized the need for at least one central midfielder by summer. With Bernardo Silva departing and doubts over Rodri and Nico Gonzalez, the club recognized that replacing Silva and Rodri like-for-like would be virtually impossible. Consequently, they sought a player equally adept at constructing play from either deep or elevated central positions. Later, doubts regarding Tijjani Reijnders emerged, though Enzo Fernandez was considered the primary alternative for the Dutchman.
Anderson cleared the initial hurdle from the 650,000-player database to the longlist, yet he was not highly ranked within that group. His metrics did not immediately signal the undeniable talent he ultimately proved to be.
As City examined him more closely, they recognized that his case underscored some of the constraints of data analytics. Anderson did not score prolifically or consistently provide assists for Forest. Because Forest generally do not dominate possession like City, his general metrics failed to capture the club’s attention.
Consequently, City’s data analysts had to account for the fact that Anderson was operating closer to his own goal than he would at City, thereby limiting his chances to shine in the final third. They scrutinized his performance at Forest and modeled his potential role within a City squad that typically plays closer to the opposition’s goal, dominates possession, and features more elite players.
Among the criteria evaluated on Anderson’s ‘radar chart’ were defensive recoveries, duel success, progressive passes, aerial duel success, and defensive errors. Regarding his defensive errors, analysts acknowledged that Forest’s transitional nature meant many occurred in the specific area of the pitch he was required to occupy.
For instance, he might regain possession deep in his own half only to lose the ball because he was forced to execute a longer, riskier pass after being instructed to play forward quickly. In a City scenario, it is anticipated that Anderson would have the option to play shorter passes with a higher success rate.
“Just because a player lacks the opportunity to perform a specific action regularly due to his team’s style does not mean he is incapable of doing it,” noted a source.
As the season progressed, Anderson’s data readings improved significantly, prompting the club’s scouts to monitor him consistently. He compared very favorably against City’s existing midfielders and a roster of rival players the club had identified as potential targets in that position.
The rigorous diligence conducted by City’s data team, scouts, and other experts meant that even though Anderson’s price surpassed what the club believed was his true valuation, the perceived risk was minimal.
“Elliot Anderson is a prime example of how our process works,” said Viana. “The data was positive for Elliot and provided us with genuine confidence in his profile, but it was the insight from our scouts and broader performance team that allowed us to understand the player and his attributes, confirming he was the right fit for the club.”
