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How One English Football Club Scores Points with AI

The Leatherhead Football Club. (Credit: Ben Broomfield)

Leatherhead Football Club or ‘The Tanners’ as they are known, play in the 7th tier of English Football and are made up of delivery drivers, car salesmen and shop assistants. While it may not seem like your typical AI cohort, the club’s management began working with IBM Watson early this season to provide pre- and post-match analysis, as well as opposition scouting, to coaches and players, alike.

A key challenge when working with any new technology is complexity. For Leatherhead’s management team of Nikki Bull and Martin McCarthy, ease of use of the technology was critical, as they and their team would have little time to learn the nuances of the programs.

IBM’s solution? Artificial intelligence.

Getting Ahead of the Opposition

In the top leagues, teams typically have dedicated opposition scouts who attend matches, review video footage, and provide scouting reports to management. Coaches, in turn, use the reports to prepare game plans for those teams. But in the world of semi-professional football, this privilege isn’t always available, or, comes with a significant price tag that teams often struggle to afford. As a result, most semi-professional teams go into their games with relatively little information about their opponent.

In contrast, Leatherhead has been able to utilise IBM Watson Discovery to gain an upper hand. IBM Watson Discovery explores match reports and social feeds to gather information and analyse the opposition to provide a comprehensive view of their opponents’ recent games. Example details could include the most influential players, tactics for attacking and the balance between the left/right wing.

If a Leatherhead coach or players wants to review the shots taken in a recent game against Bognor Regis, they simply type, “Show our shots against Bognor”. Watson Assistant then provides them access to all of the relevant video clips alongside insightful analysis.

In one case, Leatherhead were due to play Hitchin Town in the FA Cup 4th Qualifying Round. Using IBM Watson Assistant, Leatherhead coaches were able to pinpoint key data of interest which clearly identified a weakness in Leatherhead’s left-back position. This coincided with the scouting reports which showed that Hitchin tended to go down very easily in the penalty area.  Unfortunately for Leatherhead, these insights would come true in the game when Leatherhead’s left-back gave away a penalty, which Hitchin went on to score, resulting in Leatherhead losing the game and exiting the FA Cup.

AI Goals

Leatherhead’s Shaun Okojie (R) takes on opponent. (Credit: Ben Broomfield)

Our key objective at the start of the season was to demonstrate how IBM’s technology, particularly IBM Watson, can be used to augment the intelligence and expertise of Leatherhead’s coaches and players. The key challenge was how to introduce complex technology to users who are not the most tech-savvy. The tool was used weekly by the management, providing them with insights and evidence that they can then feed back to the players through team talks and into the training sessions.

Not only that, but the platform was accessed by the players directly, with them being able to use IBM Watson to assess their own performance, something that is just not seen in modern football analysis. It proved hugely valuable to the team, at both the management and player level.

At the point of writing this article, ‘The Tanners’ have just won their final game of the season, a comfortable 4-0 win against Kingstonian, ending their 2018/19 season on a high and leaving the team sat 8th in the league, a great achievement having been in the relegation zone for the beginning of the season.

Over the season, Leatherhead have lost key players to higher-paying rivals, key injuries haven’t helped either, however, IBM Watson, working alongside Bull and Martin McCarthy, Assistant Manager, have ensured that Leatherhead continue to raise their game. With Watson’s assistance, Leatherhead ascended 12 spots up the league, rounding off an incredibly successful 2018/19 Season.


Retrieved from IBM Newsroom

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