Conference Paper (published)
Details
Citation
Rioult F, Metivier J, Helleu B, Scelles N & Durand C (2014) Mining Tracks of Competitive Video Games. In: volume 8. 2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014), London, 21.06.2014-22.06.2014. Elsevier, pp. 82-87. https://doi.org/10.1016/j.aasri.2014.08.014
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.
Keywords
electronic sport; MOBA; data mining; classification
Notes
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Journal
AASRI Procedia: Volume 8
| Status | Published |
|---|---|
| Publication date | 31/12/2014 |
| Publication date online | 11/09/2014 |
| URL | |
| Publisher | Elsevier |
| ISSN | 2212-6716 |
| Conference | 2014 AASRI Conference on Sports Engineering and Computer Science (SECS 2014) |
| Conference location | London |
| Dates | – |