Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21087
Appears in Collections:Faculty of Health Sciences and Sport Conference Papers and Proceedings
Peer Review Status: Refereed
Author(s): Rioult, Francois
Metivier, Jean-Philippe
Helleu, Boris
Scelles, Nicolas
Durand, Christophe
Contact Email: nicolas.scelles@stir.ac.uk
Title: Mining Tracks of Competitive Video Games
Citation: Rioult F, Metivier J, Helleu B, Scelles N & Durand C (2014) Mining Tracks of Competitive Video Games. 2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014), London, 21.06.2014-22.06.2014. AASRI Procedia, 8, pp. 82-87. https://doi.org/10.1016/j.aasri.2014.08.014
Issue Date: 2014
Date Deposited: 15-Sep-2014
Conference Name: 2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014)
Conference Dates: 2014-06-21 - 2014-06-22
Conference Location: London
Abstract: The development and professionalization of a video game requires tools for analyzing the practice of the players and teams, their tactics and strategies. These games are very popular and by nature numerical, they provide many tracks that we analyzed in terms of team play. We studied Defense of the Ancients (DotA), a Multiplayer Online Battle Arena (MOBA), where two teams battle in a game very similar to rugby or American football. Through topological measures - area of polygon described by the players, inertia, diameter, distance to the base - that are independent of the exact nature of the game, we show that the outcome of the match can be relevantly predicted. Mining e-sport's tracks is opening interest in further application of these tools for analyzing real time sport.
Status: VoR - Version of Record
Rights: This journal is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.

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