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Among Us Player Statistics Dataset
Data Science and Analytics
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Free
About
This dataset provides game statistics for various users playing Among Us, a popular game that gained significant traction during the summer of 2020. It offers insights into player performance and game dynamics, serving as a valuable resource for analysing different aspects of gameplay. The dataset aims to facilitate studies on factors such as regional influences on imposter chances, the impact of previous game outcomes on imposter assignments, the correlation between task completion and game wins, and the relationship between game length and region.
Columns
- Game Completed Date: The specific date and time when a game concluded.
- Team: Identifies the player's assigned role in the game, either Crewmate or Imposter.
- Outcome: Indicates the result of the game for the player, whether a Win or a Loss.
- Task Completed: The total number of individual tasks a player managed to complete during a game.
- All Tasks Completed: A boolean field indicating whether a player successfully completed all their assigned tasks in a game.
- Murdered: A boolean field indicating if the player was eliminated from the game by being murdered.
- Imposter Kills: The number of kills performed by an Imposter in a given game.
- Game Length: The total duration of the game session.
- Ejected: A boolean field indicating if the player was ejected from the game.
- Sabotages Fixed: The number of sabotages successfully repaired by the player during a game.
- Time to complete all tasks: The time taken by a player to finish all their assigned tasks.
- Rank Change: Describes any change in the player's rank, such as an increase (++) or decrease (--).
- Region/Game Code: Specifies the geographic region where the game was played, along with a unique game code.
Distribution
The dataset is provided in a CSV format, specifically as
User1.csv. It has a file size of 9.19 kB and consists of 13 distinct columns. Based on the provided samples, the dataset appears to contain 100 records or entries, with each column showing 100 valid entries.Usage
This dataset is ideal for various analytical applications, including:
- Investigating the probability of becoming an Imposter based on geographic region.
- Examining how prior game results influence the chances of being assigned the Imposter role.
- Analysing the relationship between the number of tasks completed by a player and their team's victory.
- Studying variations in game length across different regions.
- Understanding player behaviour and performance metrics in the game Among Us.
Coverage
The dataset focuses on game statistics from Among Us, a game that gained popularity in the summer of 2020, with specific game completion dates observed in late 2020 (e.g., 13th December 2020). It includes data from various geographic regions such as North America (NA) and Europe. The data captures stats from different users, but specific demographic details beyond this are not available.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Data analysts looking to explore game trends and player statistics.
- Game developers and designers interested in understanding player engagement and game balance.
- Academic researchers studying online communities, gaming behaviour, or data analysis techniques.
- Among Us enthusiasts keen to delve into the game's mechanics and player outcomes.
Dataset Name Suggestions
- Among Us Player Statistics Dataset
- Among Us Gameplay Analytics
- Among Us User Data Records
- Among Us Game Performance Data
Attributes
Original Data Source:Among Us Player Statistics Dataset
QUALITY