What is Esports Data?

Esports data is information related to competitive video gaming. It includes various statistics and metrics such as player performance, team strategies, match outcomes, and audience engagement. Esports data is crucial for understanding and improving player and team performance, making informed decisions, and providing insights to stakeholders in the esports industry.
Examples of esports data include player statistics, match results, team rankings, and game analytics. Esports data is used for various purposes such as performance analysis, strategy development, betting predictions, and fan engagement. In this page, you’ll find the best data sources for esports datasets.

Best Esports Datasets & APIs

Esports Data Explained

Use Cases

1. Player Performance Analysis

Esports data is extensively used for player performance analysis. By collecting and analyzing data from various matches and tournaments, teams and coaches can evaluate the performance of individual players. This includes tracking statistics such as kill-death ratio, accuracy, damage dealt, and other in-game metrics. Player performance analysis helps teams identify strengths and weaknesses, make informed decisions regarding player selection, and devise strategies to improve overall team performance.

2. Game Balance and Design

Esports data plays a crucial role in game balance and design. Game developers and designers utilize data to understand how different aspects of the game, such as character abilities, weapon balance, or map design, impact the overall gameplay experience. By analyzing data on win rates, pick rates, and other gameplay statistics, developers can identify imbalances or issues that may affect the competitive integrity of the game. This information helps in making necessary adjustments, updates, and patches to ensure fair and engaging gameplay.

3. Audience Engagement and Broadcasting

Esports data is also utilized to enhance audience engagement and broadcasting experiences. Real-time data feeds and visualizations provide viewers with valuable insights during live broadcasts, such as player statistics, team strategies, and in-game events. This data-driven approach enhances the viewing experience, allowing fans to better understand the game and follow the progress of their favorite teams and players. Additionally, data analysis can help broadcasters and tournament organizers identify key moments, create highlight reels, and generate engaging content for post-match analysis and discussion.

Main Attributes of Esports Data

Esports data encompasses a wide range of attributes that provide valuable insights into the world of competitive gaming. These attributes can include player statistics such as kills, deaths, assists, and overall performance metrics, team information such as win-loss records, tournament results, and rankings, game-specific data like maps, game modes, and match outcomes, as well as audience engagement metrics such as viewership numbers, social media interactions, and sponsorship details. Additionally, esport data may also include financial information, player contracts, and historical data for analysis and comparison. Here’s a table of the main attributes you might find on Esports Datasets:

Attribute	Description
Game	The name of the game being played in the esports event.
Tournament	The name or identifier of the tournament in which the match is taking place.
Teams	The names or identifiers of the teams participating in the match.
Players	The names or identifiers of the individual players participating in the match.
Match Date	The date on which the match took place.
Match Duration	The duration of the match in minutes or hours.
Match Result	The outcome of the match, such as the winning team or player.
Player Statistics	Various statistics related to individual player performance, such as kills, deaths, assists, gold earned, etc.
Team Statistics	Various statistics related to team performance, such as total kills, towers destroyed, objectives secured, etc.
Game-specific Data	Additional data specific to the game being played, such as hero/champion selection, item builds, map information, etc.
Viewer Count	The number of viewers or spectators watching the match, either in-person or through streaming platforms.
Broadcast Information	Details about the broadcast of the match, including the broadcasting channel, commentators, and production information.
Metadata	Additional information about the match or event, such as patch version, game mode, tournament format, etc.

How are Esports Data products priced?

Esports datasets are typically priced based on various factors such as the size and complexity of the dataset, the level of detail and granularity it provides, and the demand for the specific data. Pricing models for esports datasets can vary, but they often involve a combination of one-time purchase fees, subscription-based access, or tiered pricing based on the level of access or usage. Additionally, the reputation and credibility of the data provider can also influence the pricing. Some datasets may be priced higher if they offer unique or exclusive data, while others may be more affordable if they provide more general or widely available information. Overall, the pricing of esports datasets is determined by the value and utility they offer to the users in the competitive gaming industry.

What is Esports Data? Best Datasets & Databases for Esports Data