GPTilt: 10 Million Enriched Events from League of Legends Challenger Matches

10 million enriched events from 10,000 high-elo League of Legends matches, provided by the GPTilt open-source initiative. The dataset is aimed at democratizing access to high-quality LoL data for research and AI development. It was last updated on May 28, 2025.

Use Cases

• Analyzing in-game event sequences and player decision-making based on detailed match events.
• Training machine learning models for outcome prediction using high-elo match data.
• Conducting behavioral research on professional and elite amateur players.
• Building tools for automated game analysis and commentary generation.

Strengths

• Contains 10 million enriched events, providing a substantial volume of data for analysis.
• Derived from 10,000 matches, offering a broad sample of high-level gameplay.
• Focuses on the Challenger tier, representing the highest competitive rank in League of Legends.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary event table is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection.

Provenance

Source

GPTilt open-source initiative (author: gptilt).

Collection Method

Likely gathered from Riot Games API or similar official data sources for League of Legends.

Freshness

Last updated 2025-05-28 12:57:06.