Awesome Public Datasets (APD) - eSports: CS:GO Competitive Matchmaking Data
A curated entry in the Awesome Public Datasets (APD) collection for eSports, referencing the CS:GO Competitive Matchmaking Damage dataset on Kaggle. It provides structured metadata and categorization so this dataset can be discovered as part of a larger awesome-style directory of public datasets.
About this tool
Awesome Public Datasets (APD) – eSports: CS:GO Competitive Matchmaking Data
Overview
The Awesome Public Datasets (APD) – eSports: CS:GO Competitive Matchmaking Data entry is a curated record within the Awesome Public Datasets collection. It points to a CS:GO Competitive Matchmaking Damage dataset hosted on Kaggle, and provides structured metadata so this dataset can be discovered easily as part of a broader, themed directory of public datasets.
- Type: Themed dataset directory entry
- Domain: eSports / gaming analytics
- Primary Dataset Topic: CS:GO competitive matchmaking damage data
- Source Directory: Awesome Public Datasets (APD) core repository
- Source URL: https://github.com/awesomedata/apd-core/tree/master/core//eSports/csgo.yml
- Category: Themed directories
- Brand: awesome-public-datasets
- Tags: games, datasets, machine-learning
Features
-
Curated Directory Entry
- Included as part of the Awesome Public Datasets (APD) collection.
- Uses a YAML-based record (
csgo.yml) stored under theeSportssection of the APD core repository.
-
Structured Metadata
- Provides standardized metadata for the CS:GO Competitive Matchmaking dataset so it can be indexed and discovered.
- Categorized under eSports and linked to a CS:GO competitive matchmaking damage dataset on Kaggle.
- Tagged for discoverability with terms relevant to games, datasets, and machine learning.
-
Dataset Discovery & Organization
- Helps users find CS:GO esports data as part of a larger awesome-style list of public datasets.
- Integrates into the APD taxonomy, allowing browsing by theme (e.g., eSports) and use cases like analytics or ML.
-
Machine Learning & Analytics Relevance
- Targets users interested in machine learning applications on esports data, particularly CS:GO match and damage statistics.
- Suitable as a starting point for projects involving performance analysis, matchmaking behavior, or gameplay modeling.
Use Cases
- Finding structured CS:GO matchmaking damage data for research or projects.
- Browsing esports-related datasets within the Awesome Public Datasets ecosystem.
- Sourcing data for machine learning, statistics, or visualization work in gaming and esports.
Pricing
- Not applicable.
- This is a directory entry pointing to a public dataset; no pricing or plans are described in the provided content.
Additional Information
- Slug:
awesome-public-datasets-apd-esports-csgo-competitive-matchmaking-data - Brand logo: Not specified in the provided content.
- Images: Not provided in the content.
For detailed dataset contents (fields, schema, size, license), refer to the linked Kaggle dataset via the APD GitHub entry.
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