howl-anderson/Game-Oracle_DOTA2-Match-Prediction-Dataset
Game Oracle: DOTA 2 Match Prediction Dataset Executive Summary Game Oracle is a comprehensive data analysis project focused on DOTA 2 match prediction and professional gameplay patterns. The project addresses the growing demand for data-driven insights in esports, particularly in competitive gaming strategy and outcome prediction. Motivation The exponential growth of esports has created a need for sophisticated analytical tools to understand game… See the full description on the dataset page: https://huggingface.co/datasets/howl-anderson/Game-Oracle_DOTA2-Match-Prediction-Dataset.
| Author / organization | howl-anderson |
|---|---|
| Downloads | 212 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 26 November 2024 |
| Last updated at source | 27 November 2024 |
Popularity, last 3 days
212 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Game Oracle: DOTA 2 Match Prediction Dataset Executive Summary Game Oracle is a comprehensive data analysis project focused on DOTA 2 match prediction and professional gameplay patterns. The project addresses the growing demand for data-dri → Game Oracle: DOTA 2 Match Prediction Dataset Executive Summary Game Oracle is a comprehensive data analysis project focused on DOTA 2 match prediction and professional gameplay patterns. The project addresses the growing demand for data-dri
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.