‘It’s a new world’: the analysts using AI to psychologically profile elite players

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"Premier League Clubs Employ AI to Analyze Players' Psychological Attributes"

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TruthLens AI Summary

In contemporary football, the integration of data analytics has extended beyond mere physical statistics to encompass psychological assessments of players. Premier League clubs, such as Brighton, are embracing innovative techniques to evaluate players' mental attributes, including their emotional control and leadership qualities. An example of this new approach is highlighted by Yaw Amankwah, a former professional footballer, who emphasizes the importance of observing nonverbal cues on the pitch. According to Amankwah, moments that may appear insignificant, like a teammate's supportive gesture after a missed shot, can reveal deeper insights into a player's character and leadership potential. This shift towards psychological evaluation is crucial as clubs seek to enhance their recruitment strategies by understanding the mental resilience and interpersonal dynamics of players, which traditional statistics fail to capture adequately.

Over the past six years, Amankwah, in collaboration with psychology professor Geir Jordet, has analyzed extensive match footage to create a comprehensive dataset that quantifies various player behaviors. This analysis has resulted in a proxy ranking system that allows clubs to benchmark players based on their psychological attributes. Using this data, clubs can gain a clearer understanding of how a player's emotional control compares to their peers, thus facilitating more informed decision-making during recruitment and selection processes. Leading clubs, including Bayern Munich, have already experimented with this analytical framework, integrating psychological assessments into their tactical considerations. As the technology evolves, Amankwah and Jordet are increasingly leveraging artificial intelligence to enhance their analyses, potentially revolutionizing how clubs identify and evaluate talent. This burgeoning field of sports psychology analytics promises to transform not only player recruitment but also the overall dynamics of team performance, as clubs gain greater visibility into the mental aspects of the game that were previously overlooked.

TruthLens AI Analysis

The article delves into the innovative approaches being adopted by Premier League clubs, particularly Brighton, to analyze the psychological profiles of elite football players using artificial intelligence. This move reflects a growing trend in sports towards data-driven decision-making, extending beyond mere physical statistics to encompass mental and emotional attributes.

Psychological Evaluation in Sports

The article emphasizes the importance of understanding players' mental states and how these can impact performance on the pitch. Traditional metrics alone may not offer a complete picture, leading to the exploration of non-verbal cues and psychological evaluations. Analysts like Yaw Amankwah advocate for a more nuanced approach to player assessments, highlighting the significance of body language and emotional responses during matches.

Implications of AI in Football

The integration of AI in analyzing player behaviors marks a shift in how teams approach recruitment and selection. By leveraging technology to evaluate psychological traits, clubs can potentially enhance team dynamics and performance. The mention of Thomas Tuchel's observations about player communication reinforces the idea that mental fitness is as crucial as physical conditioning.

Public Perception and Transparency

There seems to be an intention to raise awareness about the evolving nature of sports analysis. By discussing the psychological aspects of players, the article aims to cultivate a deeper understanding among fans and stakeholders about what constitutes a complete athlete. However, there might also be an underlying concern regarding transparency in how players are evaluated and selected, as this could affect public perception of player capabilities.

Potential Manipulation

While the article does not overtly manipulate information, the framing around AI use could lead to misconceptions about the infallibility of technology in assessing human behavior. The language employed might suggest a reliance on AI that could overshadow traditional scouting methods, possibly leading to skepticism among fans who favor personal judgment over data-driven analysis.

Overall Reliability

The reliability of the article rests on its presentation of emerging trends in sports analytics. By incorporating insights from professionals in the field, the narrative gains credibility. However, the complexities of human psychology mean that AI assessments may not capture every nuance, which is an important consideration for readers.

The article serves to inform audiences about the intersection of psychology and technology in sports, while also hinting at the broader implications for team management and player development. In light of these factors, it presents a balanced view of the evolving landscape of sports analysis.

Unanalyzed Article Content

“The players didn’t show enough fight.” Listen to any pundit’s post-match reaction and you will hear variations of that soundbite. But can you analyse an athlete’s state of mind, based on their on-pitch body language?

In an era when football is increasingly leaning on data to demonstrate physical attributes, statistics offering an accurate indication of a player’s psychological qualities, such as emotional control and leadership, are harder to come by. But Premier League clubs including Brighton are using a technique intended to help in that regard with selection and recruitment.

Thomas Tuchel made headlines by tellingEngland’s players to communicate moreafter he evaluated their interactions during the final of Euro 2024, but counting the number of times players gesture or talk to each other on the pitch tells only part of the mental battle being played out.

Yaw Amankwah, a former top-flight defender in Norway and Denmark, is at the centre of the push for better psychological evaluation of players. “When you take your eyes off the ball, it’s a treasure trove of information,” says Amankwah, who also works as a pundit. “Once you disregard tactics and just look at the psychological part of the game and players through this lens, it’s impossible to unsee it. It’s the subtle, nonverbal messages that show if players are very confident, aggressive or in their own bubble.”

Amankwah uses the example of a player who blasts a 20-yard shot into the stands and, 45 seconds later, receives a consoling pat on the back from a passing teammate. It is a fleeting moment that might be missed – or overlooked – by fans, media and even coaching teams, but, to a former professional, it illustrates a quiet sense of leadership. “I know the cues and small behaviours that you have to learn in order to function effectively on a football pitch,” Amankwah says.

Over the past six years, he has worked with the psychology professor Geir Jordet, analysing thousands of hours of match footage from across the world, including videos of every player in the Premier League and Women’s Super League. The result is a dataset containing more than 100,000 unique observations, which has enabled the duo – via their company, Inside Out Analytics – to create a proxy ranking of players across different types of behaviour.

The information can demonstrate, say, whether a defender’s emotional control, compared with opponents’ and teammates’ in the same position, is in the top 5% of those players in the league. As Jordet puts it: “It’s a new world that opens up. The map gives clubs a benchmark and that’s critical because you can look at certain behaviours, and you can count how many times they occur in certain situations, but most are still going to be blind to what that means.

“It’s hard to figure out their exact meaning, but we’re no longer blind, because we can say that for this type of behaviour, in this situation, if you compare all the players in this player’s position in the Premier League, this player is in the 90th percentile or in the 10th percentile.”

Bayern Munich are one of several leading clubs to have trialled the platform, employing the technology during Julian Nagelsmann’s time as head coach. “Every department [in a club] puts numbers on the table, but psychology doesn’t,” says the former Bayern psychologist Max Pelka, who now works with Brighton. “There are aspects of psychology that can be measured – there are a lot of cognitive diagnostics out there – but they’re not that close to [what is happening] on the pitch.”

Pelka – who followed Nagelsmann from RB Leipzig to Bayern – worked with Jordet and Amankwah to analyse about 25 Bayern games during the second half of the 2022-23 season.

After each match, Pelka would boil down detailed observations of each player’s posture, head movements and hand gestures – to name a few elements of body language monitored by Amankwah’s analysis team – to a one-page summary of the side’s psychological performance, which he would present to the coaching department. The data was among several sets of information which Nagelsmann and his assistants would consider before picking a side.

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“It was another variable that added to thoughts about selection,” Pelka says. “They could consider whether they really wanted a leader in their back four or whether they wanted a different [personality] option.”

Players could also access analysis of what Jordet refers to as their “game personality”. Pelka says: “There was a defender who was very interested in the findings … how to use his body language to lead and show others the way [to play]. It doesn’t happen overnight, but if you have a starting point of how things look on the pitch, it’s much easier to work on it.”

Pelka is using some of the techniques he employed in Munich to analyse Brighton’s players’ on-pitch behaviour. Although he hasn’t monitored Fabian Hürzeler’s squad as frequently, the key planks of the process are the same, with Brighton’s head coach reviewing summaries of his side’s key psychological “actions”.

Jordet and Amnankwah are increasingly using artificial intelligence rather than the manual coding that consumed much of the pair’s time. “Soon, we’ll have very little limit on how many teams we can analyse at any point in time … and then we can actually start to inform clubs about prospective new signings, highlighting someone that they were not aware of before or confirm or challenge an emerging decision,” Jordet says. “We could say: ‘Yes, this seems to be a good signing,’ or: ‘From our perspective, given these metrics, there’s a big red flag here and that’s something you may want to look into.’”

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Source: The Guardian