Player Performance Evaluation in Team-Based First-Person Shooter eSport

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10388919" target="_blank" >RIV/00216208:11320/18:10388919 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2F978-3-319-94809-6.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2F978-3-319-94809-6.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-94809-6_8" target="_blank" >10.1007/978-3-319-94809-6_8</a>

Result language
angličtina
Original language name
Player Performance Evaluation in Team-Based First-Person Shooter eSport
Original language description
Electronic sports or pro gaming have become very popular in this millenium and the increased value of this new industry is attracting investors with various interests. One of these interest is game betting, which requires player and team rating, game result predictions, and fraud detection techniques. This paper discusses several aspects of analysis of game recordings in Counter-Strike: Global Offensive game including decoding the game recordings, matching of different sources of player data, quantifying player performance, and evaluation of economical aspects of the game.
Czech name
—
Czech description
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Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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