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    3. Awesome Public Datasets (APD) - eSports: CS:GO Competitive Matchmaking Data

    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.

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    Information

    Websitegithub.com
    PublishedDec 30, 2025

    Categories

    1 Item
    Themed Directories

    Tags

    3 Items
    #games#datasets#machine-learning

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    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 the eSports section 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.