@article{ART003028378},
author={Ye-Ji Kim and Jung-Hye Min},
title={Win-Loss Prediction Using AOS Game User Data},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={12},
pages={23-32},
doi={10.9708/jksci.2023.28.12.023}
TY - JOUR
AU - Ye-Ji Kim
AU - Jung-Hye Min
TI - Win-Loss Prediction Using AOS Game User Data
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 12
PB - The Korean Society Of Computer And Information
SP - 23
EP - 32
SN - 1598-849X
AB - E-sports, a burgeoning facet of modern sports culture, has achieved global prominence. Particularly, Aeon of Strife (AOS) games, emblematic of E-sports, blend individual player prowess with team dynamics to significantly influence outcomes. This study aggregates and analyzes real user gameplay data using statistical techniques. Furthermore, it develops and tests win-loss prediction models through machine learning, leveraging a substantial dataset of 1,149,950 individual data points and 230,234 team data points. These models, employing five machine learning algorithms, demonstrate an average accuracy of 80% for individual and 95% for team predictions. The findings not only provide insights beneficial to game developers for enhancing game operations but also offer strategic guidance to general users.
Notably, the team-based model outperformed the individual-based model, suggesting its superior predictive capability.
KW - Machine Learning;Win/Loss Prediction;Data Mining;Game Data
DO - 10.9708/jksci.2023.28.12.023
ER -
Ye-Ji Kim and Jung-Hye Min. (2023). Win-Loss Prediction Using AOS Game User Data. Journal of The Korea Society of Computer and Information, 28(12), 23-32.
Ye-Ji Kim and Jung-Hye Min. 2023, "Win-Loss Prediction Using AOS Game User Data", Journal of The Korea Society of Computer and Information, vol.28, no.12 pp.23-32. Available from: doi:10.9708/jksci.2023.28.12.023
Ye-Ji Kim, Jung-Hye Min "Win-Loss Prediction Using AOS Game User Data" Journal of The Korea Society of Computer and Information 28.12 pp.23-32 (2023) : 23.
Ye-Ji Kim, Jung-Hye Min. Win-Loss Prediction Using AOS Game User Data. 2023; 28(12), 23-32. Available from: doi:10.9708/jksci.2023.28.12.023
Ye-Ji Kim and Jung-Hye Min. "Win-Loss Prediction Using AOS Game User Data" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 23-32.doi: 10.9708/jksci.2023.28.12.023
Ye-Ji Kim; Jung-Hye Min. Win-Loss Prediction Using AOS Game User Data. Journal of The Korea Society of Computer and Information, 28(12), 23-32. doi: 10.9708/jksci.2023.28.12.023
Ye-Ji Kim; Jung-Hye Min. Win-Loss Prediction Using AOS Game User Data. Journal of The Korea Society of Computer and Information. 2023; 28(12) 23-32. doi: 10.9708/jksci.2023.28.12.023
Ye-Ji Kim, Jung-Hye Min. Win-Loss Prediction Using AOS Game User Data. 2023; 28(12), 23-32. Available from: doi:10.9708/jksci.2023.28.12.023
Ye-Ji Kim and Jung-Hye Min. "Win-Loss Prediction Using AOS Game User Data" Journal of The Korea Society of Computer and Information 28, no.12 (2023) : 23-32.doi: 10.9708/jksci.2023.28.12.023
