Technology & Innovation

Ahead of the game: the benefits of sports analytics

August 21, 2014

Global

August 21, 2014

Global
Victoria van Lennep

Head of Operations

Victoria is Head of Operations at Lendable, a peer-to-peer lending platform. Previously Victoria worked as a deputy editor in the EIU's Thought Leadership team. She holds a Bachelor and a Master in Economics from the Universite Libre de Bruxelles, and an MSc in Environmental Policy from the University of Oxford.

Over the past few years, the sports analytics field has been growing rapidly. Sam Seddon, Wimbledon and Rugby Football Union (RFU) client executive at IBM, explains how analytics -- from data to models, information systems and skilled personnel -- can deliver a competitive advantage for sports leaders.

The Economist Intelligence Unit: How can various stakeholders benefit from sports analytics?

Sam Seddon, IBM: By delivering more compelling information to television commentators, providers of sports analytics (eg software vendors, consultancies, passionate hobbyists...) will enhance the overall experience of sport spectators. Only a relatively small proportion of sports fans can experience the sport on site and so sports events are increasingly using technologies such as mobile devices and social media alongside traditional media (eg TV and radio) to help give the fans and the media “the next best thing to being there”. The possibility of an enhanced spectator experience is also encouraging big broadcasters such as ITV and the BBC to invest in live-event broadcasting to develop their premium content offering, all the while boosting their viewership.

Another important dimension to sports analytics has to do with the tracking of players, be it tennis, football or rugby players. Analytics can provide sports managers with detailed information about their team’s performance, which they can use to improve their game. For example, rugby coaches are now starting to use predictive analytics technology to assess the likelihood of injury to their players, and are using this insight to deliver personalised training and nutrition programmes for players identified as being at risk. The increased speed of analysis can be a competitive advantage, giving sports teams the ability to do more preparation in less time.

How do sports teams capture live data in practice, for example at Wimbledon?

The tennis data on Wimbledon’s courts is gathered manually by professional tennis players to ensure its quality right at the source. The players sit at the side of the court capturing the speed of serve, counting the shots in every rally and calling the match. All of the above must be done swiftly so that statistics can be used in minimal time for live broadcasting.

Who are the main providers of data analytics in the sports sector?

Some typically use a people-based approach, employing people on the ground to track and analyse data, but suppliers providing automated data solutions are also entering the market. For example, these solutions can be used by local tennis clubs: installing cameras at the edge of their courts allows them to track players and compute all game statistics automatically. Players are then able to access particular statistics, such as their number of unforced errors in a console located by the side of the court.

Could other sectors benefit from the use of data analytics in general?

Absolutely. Advances in analytics now offer enhanced decision-making capabilities to organisations across different industries. For example, cities can analyse data gathered from a city-wide network of sensors to identify the root causes of traffic congestion in public transport networks, thereby improving traffic flow and commuters’ mobility.

This article is part of a series managed by The Economist Intelligence Unit for HSBC Commercial Banking. Visit HSBC Global Connections for more insight on international business.

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