Use case: National Rugby Union

The current method of analyzing opposition game footage is highly manual. Analysts spend hours annotating games, spotting possible patterns and identifying insights to communicate to players. A major global tournament was upcoming and the client wanted to gain an edge


Data sources on opposition teams are limited in terms of coverage, reliability and consistency.

Whilst elite teams collect GPS data on their own players, data on the position and speed of opposition is unavailable, limiting analysis.


Arcanum developed virtual GPS capability, generating previously unavailable data from existing footage from a single camera view.

Automated data science components identify events, patterns and insights that save analysts hundreds of hours of work and helped prepare specific scenarios that were translated into game changing training sessions.


Applying machine learning to a larger catalogue of games will generate new uniquely valuable insights.

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