BPCoach: Exploring Hero Drafting in Professional MOBA Tournaments via Visual Analytics
Shiyi Liu, Ruofei Ma, Chuyi Zhao, Zhenbang Li, Jianpeng Xiao, and Quan, Li

TL;DR
BPCoach is a visual analytics tool designed to assist professional MOBA teams in hero drafting by analyzing game data, human factors, and patch updates to improve strategic decision-making.
Contribution
The paper introduces BPCoach, a novel visual analytics system that incorporates human and game factors for hero drafting in professional MOBA tournaments.
Findings
BPCoach effectively aids hero drafting decisions.
Expert feedback confirms system usefulness.
User study shows improved drafting efficiency.
Abstract
Hero drafting for multiplayer online arena (MOBA) games is crucial because drafting directly affects the outcome of a match. Both sides take turns to "ban"/"pick" a hero from a roster of approximately 100 heroes to assemble their drafting. In professional tournaments, the process becomes more complex as teams are not allowed to pick heroes used in the previous rounds with the "best-of-N" rule. Additionally, human factors including the team's familiarity with drafting and play styles are overlooked by previous studies. Meanwhile, the huge impact of patch iteration on drafting strengths in the professional tournament is of concern. To this end, we propose a visual analytics system, BPCoach, to facilitate hero drafting planning by comparing various drafting through recommendations and predictions and distilling relevant human and in-game factors. Two case studies, expert feedback, and a…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsData Visualization and Analytics · Video Analysis and Summarization · Sports Analytics and Performance
