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ESL partners with Bayes to improve real-time eSports visualisation

ESL partners with Bayes to improve real-time eSports visualisation

ESL partners with Bayes to improve real-time eSports visualisation

Bayes Esports Solutions has announced a technological partnership with ESL, the world's largest eSports company, to drive innovation in live data visualisation for eSports events. The first joint project is a real-time parser, CARP, which will be put into operation immediately.

The Berlin-based company states that, currently, media dealing with eSports is struggling to address and inspire a large group of casual gamers, despite the pre-existing fan community. For an entertaining live experience, different visualisations and perspectives onsite and within the live streams are essential, not only to understand and enjoy, but to feel like part of the game – especially in complex 3D environments. In order to provide these advanced features, accurate and correct real-time live data must be available which is more agile and fast-moving than traditional sports solutions.

The parser, CARP, developed by Bayes in close collaboration with ESL, allows the extraction of data for the games CS:GO and Dota 2 in real time and with ‘unprecedented’ quantity and quality of data points. Thus, media can display complete 2D visualisations (replays) live and during the game, with representation of player positions and trajectories of objects. Previously, this was reportedly only possible after the game and not in real time.

‘Together with Bayes, we want to set uniform standards and drive the sport forward with data-driven developments,’ stated Bernhard Mogk, SVP global business development at ESL. ‘For an even stronger media presence of eSports, media and other data consumers must receive all the information they need as quickly and reliably as possible. At the same time, it is a major concern of ours to provide all market participants with innovative data products that help them, especially with the distribution of our content.’

For the partnership with Bayes, ESL provides access to its game servers to extract the data. ESL also uses the data for internal applications such as visualisation and analysis. After extensive testing, the data will be made available to other interested parties on BEDEX, an independent eSports data marketplace for in-game data developed by Bayes.



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