Manipulating matchmaking ranks through skill deception, queue boosting, or false competitive representation.
This dossier summarizes the cheat definition, the affected OSI layer, and the evidence attached to the record.
Manipulating matchmaking ranks through skill deception, queue boosting, or false competitive representation.
Layer 7 (Application)
Manipulating matchmaking ranks through skill deception, queue boosting, or false competitive representation.
Peer-reviewed and academic literature connected to this cheat, with DOI or URL references attached where available.
Eoin Conroy, Magdalena Kowal, Adam J. Toth, Mark J. Campbell
Entertainment Computing, Vol. 36, 2021
Target: Boosting (high-skilled players increasing lower-skilled players' ranks for monetary gain), rank decay, queue boosting
Aim: Conroy, E., Kowal, M., Toth, A. J., & Campbell, M. J. (2021). Boosting: rank and skill deception in esports. Entertainment Computing, 36, 100393.
Recommendation: (Conroy et al., 2021)
No external DOI or URL link is attached yet.
Haerin Kim and Sangho Lee and Ji Young Woo and Huy Kang Kim
2022 IEEE International Conference on Agents (ICA)
Target: Boosting, smurfing, trolling - rank-skill mismatch problems where account information doesn't reflect actual player skills
Aim: Kim, H., Lee, S., Woo, J. Y., & Kim, H. K. (2022). Justice League: Time-series game player pattern detection to discover rank-skill mismatch. In 2022 IEEE International Conference on Agents (ICA) (pp. 42-47). IEEE.
Recommendation: (Kim et al., 2022)
No external DOI or URL link is attached yet.
Reviewed white papers and adjacent technical reports approved for this dossier.
Reviewed non-academic sources such as news, forums, archives, or enforcement materials.
Named incidents, documented examples, or sanctions associated with this cheat category.