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Dota 2 Hero Base Stats and Player Performance Archive

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Tags and Keywords

Dota

E-sports

Performance

Hero

Prediction

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Dota 2 Hero Base Stats and Player Performance Archive Dataset on Opendatabay data marketplace

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About

Analysing the tactical depths of Dota 2, a premier multiplayer online battle arena, reveals the intricate relationship between professional player skill and character selection. Within this competitive environment, two teams of five defend their respective bases, with each participant commanding a unique "hero" possessing distinct abilities and playing styles. This collection provides an expansive look at the performance of professional competitors across their most frequently utilised heroes, enabling the study of success metrics such as the KDA ratio—a calculation involving kills, assists, and deaths—in relation to hero-specific traits. By bridging the gap between raw character attributes and actual match outcomes, the data offers a vital foundation for understanding high-level e-sports performance.

Columns

  • user_id: The unique identification number assigned to each professional player.
  • hero_id: The numeric identifier for the specific hero selected by the player.
  • id: A unique record identifier for each entry in the dataset.
  • num_games: The total count of matches the player has completed using a specific hero.
  • num_wins: The number of matches resulting in a victory for the player with that specific hero.
  • kda_ratio: The performance metric calculated as ((Kills + Assists) * 1000 / Deaths), representing the target variable for analysis.
  • primary_attr: A string identifying the hero's main attribute, such as agility, strength, or intelligence.
  • attack_type: Classification of the hero's combat method, typically defined as Melee or Ranged.
  • roles: An array detailing the various functions a hero performs, including roles like Support, Disabler, or Nuker.
  • base_stats: A suite of initial character metrics including health, mana, armour, magic resistance, and movement speed.

Distribution

The information is delivered in a series of CSV files designed for separate training and testing phases, specifically train9.csv, train1.csv, test9.csv, and test1.csv. Additionally, a supplemental hero_data.csv file provides the underlying statistics for the characters themselves. While specific row counts and total file sizes are not explicitly defined in the provided records, the structure is organised to allow for performance tracking across a player's top ten heroes. The data is maintained as a static archive.

Usage

This collection is well-suited for building predictive models that forecast a player's performance with a new character based on their established history with others. Researchers can apply regression techniques to determine how base hero attributes, like attack range or movement speed, influence a professional's KDA ratio. It also serves as an excellent resource for e-sports analysts looking to identify character synergies or for data science students wanting to practice multi-file data merging and feature engineering within a gaming context.

Coverage

The scope covers professional-level Dota 2 match data, focusing on the top ten most frequent heroes for each included player. It provides a thorough view of the diverse hero pool, including various roles and primary attributes. The temporal range and specific geographic demographics of the players are not defined, but the data represents the global competitive standard of the game.

License

CC0: Public Domain

Who Can Use It

E-sports analysts can leverage these figures to benchmark player proficiency and inform drafting strategies during competitive tournaments. Data scientists and machine learning engineers can utilise the structured training and testing sets to refine predictive algorithms. Additionally, gaming enthusiasts and developers may find the hero attribute data useful for balancing studies or creating fan-based statistical tools.

Dataset Name Suggestions

  • Dota 2 Professional Player Performance and Hero Statistics
  • E-sports KDA Ratio Prediction and Hero Attribute Registry
  • MOBA Competitive Analytics: Pro Player Hero Metrics
  • Dota 2 Hero Base Stats and Player Performance Archive
  • Professional Gaming Performance and Character Attribute Database

Attributes

Listing Stats

VIEWS

1

DOWNLOADS

0

LISTED

21/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

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