Badminton analytics can be very helpful to players and coaches at all levels. In this review, we’ll introduce you to a new AI-driven (Artificial Intelligence-driven) smartphone app. It was developed by a team of badminton enthusiasts.

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Badminton analytics development

For many years, player or game analysis was done by coaches (or parents) observing and analyzing live games.
In recent years, players and coaches have been using video analysis to some extent. Video analysis is beneficial for analyzing one’s own strengths and weaknesses. But it is also a helpful tool for analyzing the strengths and weaknesses of opponents. See an example of video badminton analytics here.

Needless to say, acquiring video footage can, at times, be difficult. And even if it is possible to get a good number of hours of match recording done, analyzing video footage manually is quite a task.

The Moneyball principle applied to badminton

Are you familiar with the movie Moneyball (Brad Pitt/Jonah Hill)? The movie tells the story of Oakland Athletics Baseball and how they built a team of undervalued talent by taking a sophisticated sabermetric approach to scouting and analyzing players.

Making data readily available to badminton players, coaches, analysts, and teams represents a real opportunity for performance improvement. Especially if data is presented so that it is quick to understand which actions or changes to implement.

Former world number 32 (MD) Shlok Ramchandran seems firm in his belief that a data revolution in badminton is much needed. In this article on Scroll.in – he argues his case. He believes that making relevant data available and sharing it in visual format will also improve the TV viewer experience, citing tennis and golf as role models.

Michael Leander
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