{"id":20824,"name":"Riot Esports Analytics","purpose":"A platform for esports organizations to analyze player performance and engagement data, particularly for fighting games. Leverages machine learning to identify trends and predict player churn, helping organizations optimize team composition, training regimens, and marketing strategies to improve player retention and competitive success, drawing lessons from Riot's experience with 2XKO.","profitable":1,"date_generated":"Thursday August 2026 23:46","reference":"riot-esports-analytics","technology_advise":["Python","PostgreSQL","Difficult","Medium"],"development_time_estimation_mvp_in_hours":180,"grade":7.8,"category":"data","view_count":1,"similar_ideas":[{"id":2123,"name":"DeathRun Analytics","grade":7.8,"category":null},{"id":9368,"name":"ProStrike Analytics","grade":7.2,"category":"gaming"},{"id":17134,"name":"Performance Insights for Gaming Studios","grade":6.8,"category":"devtools"},{"id":9372,"name":"Competitive Edge Analytics","grade":6.5,"category":"gaming"},{"id":5010,"name":"MatchPlay Analytics","grade":6.9,"category":"data"}],"source_headline":"Riot ends League fighting game development due to sustainability issues"}