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Video180

TM

Team and Player performance information creation from video using advanced AI analytics

a cloud platform for the management and analysis of Sports Video.

Beyond180 are developing a VideoAI platform to bring together the vast amounts of sport's video film, curate these huge datasets and input these data to specialist AI engines to build and train advanced analytics algorithms and models. The continually evolving AI will critically evaluate the game footage and return derived statistical data on team and player behaviours, actions and movements.

​Once received this returned analytics data is then organised and processed into meaningful performance information for simple, secure  access by Coaches, Players and Fans.  In addition further actionable intelligent information and insights can be derived that meet specific end user's and individual sport's needs covering amateur and professional levels.  

 

The AI models being developed will produce data and information on 3 levels of increasing complexity from the video data alone and then over time we foresee this being blended with other data, such as individual player GPS trackers, to provide an even higher level of detail for those that want to go to those élite levels of performance analysis. 

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Examples and basic levels of AI video analytics output data

Level 1 - Game Data

Time in areas of pitch

Ball in play time

Match Score, including Tries, Cons, Pens, DGs, and by quarter and by half

No of lineouts, scrums etc per team

No of rucks

Turnovers

Total offence metres by team

Total Tackles per team

Time in possession/time defending per team

Level 2 - Team Data

Tackles made/tackles missed

Dominant vs Passive tackles

Off vs Def Rucks

Ruck Speed and win/loss count

Lineouts won/lost

Scrums won/lost

Exit efficiency

Success in Opp 22

Offloads/Passes

Turnovers

Line breaks

Metres after contact​

Attack styles breakdown - off 9, off 10

Level 3 - Player Data

Tackles made/missed

Dominant vs Passive tackles

Carries, metres made, metres made after contact

Passes (left hand/right hand)

Knock-ons

Kicks

Rucks entered

Turnovers / Pens won

​Tries, Cons, Pens, DGs by Player

Minutes played

Distance run

Positional and Touches Heatmap

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Example AI video analytics output information: events heatmap

Such data and information insights can be directly fed into our Coach180 App as well as be made available in a variety of forms using Business Intelligence analysis and reporting tools and specialist visual UIs tools as well as ensuring access through open APIs for developers and specialist system and platform providers.

 

This ensures that coaches and players at all levels get the information they need to review behaviours, hone skills, drive practices and ultimately drive continual team performance improvement and individual player development.

Please contact us for more information on this innovative research and development as we begin to release this later in 2025.

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