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Gamers Club CS:GO Match Performance
Data Science and Analytics
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About
This dataset provides a detailed collection of statistics from over 170,000 Counter-Strike: Global Offensive (CS:GO) matches played on the Gamers Club platform, featuring data from approximately 2,500 unique players. Gamers Club is recognised as the largest CS:GO club globally, with the largest active player base in Latin America, facilitating thousands of matches daily. The dataset offers insights into general player information, such as country of origin, social network presence, date of birth, registration date, game medals, and levels. Additionally, it captures in-depth player performance metrics during matches, including kills, assists, deaths, and headshots, among various other in-game actions. This rich collection is ideal for analysing player behaviour, understanding game dynamics, and exploring competitive trends within the Brazilian CS:GO community.
Columns
- idLobbyGame: Unique identifier for each match.
- idPlayer: Unique identifier for each player.
- idRoom: Unique identifier for the game room.
- qtKill: The number of kills a player achieved in the match.
- qtAssist: The number of assists a player achieved in the match.
- qtDeath: The number of times a player died in the match.
- qtHs: The number of kills achieved by headshots.
- qtBombeDefuse: The number of times a player defused the bomb.
- qtBombePlant: The number of times a player planted the bomb.
- qtTk: The number of team kills committed by a player.
- qtTkAssist: The number of assists a player received for team kills.
- qt1Kill: The number of rounds where a player achieved one kill.
- qt2Kill: The number of rounds where a player achieved two kills.
- qt3Kill: The number of rounds where a player achieved three kills.
- qt4Kill: The number of rounds where a player achieved four kills.
- qt5Kill: The number of rounds where a player achieved five kills.
- qtPlusKill: The number of rounds where a player achieved more than one kill.
- qtFirstKill: The number of rounds where a player achieved the first kill.
- vlDamage: The total damage dealt by a player in the match.
- qtHits: The total number of successful hits by a player in the match.
- qtShots: The total number of shots fired by a player in the match.
- qtLastAlive: The number of rounds where a player was the last one alive.
- qtClutchWon: The total number of clutch situations won by a player.
- qtRoundsPlayed: The total number of rounds played in the match.
- descMapName: The name of the map where the match took place (e.g., de_mirage, de_inferno).
- vlLevel: The player's Gamers Club (GC) level.
- qtSurvived: The number of rounds a player survived.
- qtTrade: The number of trade kills (killing an enemy shortly after a teammate is killed).
- qtFlashAssist: The number of assists achieved using flashbangs.
- qtHitHeadshot: The total number of hits to an enemy's head.
- qtHitChest: The total number of hits to an enemy's chest.
- qtHitStomach: The total number of hits to an enemy's stomach.
- qtHitLeftAtm: The total number of hits to an enemy's left arm.
- qtHitRightArm: The total number of hits to an enemy's right arm.
- qtHitLeftLeg: The total number of hits to an enemy's left leg.
- qtHitRightLeg: The total number of hits to an enemy's right leg.
- flWinner: A flag indicating if the player's team won the match (1 for winner, 0 for loser).
- dtCreatedAt: The date and time when the match was created.
Distribution
The dataset is primarily available as a CSV file, specifically named
tb_lobby_stats_player.csv, and has a size of 28.37 MB. It contains over 184,000 records, each representing player statistics from a CS:GO match. The structure includes 38 distinct columns providing detailed match and player performance information.Usage
This dataset is ideally suited for:
- Performance Analytics: Analysing individual player and team performance trends.
- Esports Research: Studying competitive strategies, player skill progression, and game balance.
- Player Behaviour Modelling: Understanding player engagement, in-game habits, and medal acquisition.
- Game Development: Informing design decisions for competitive gaming platforms and features.
- Machine Learning Applications: Building models for player ranking, match prediction, or identifying key performance indicators.
Coverage
The dataset primarily covers the Brazilian Counter-Strike: Global Offensive competitive scene. It includes statistics from matches played between 14th September 2021 and 11th February 2022. Demographic scope includes general anonymous player profile information such as country of origin, social media presence, date of birth, registration date, and their in-game medals and levels on the Gamers Club platform.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is valuable for:
- Data Analysts: To extract insights into player performance and game trends.
- Esports Organisations: For scouting talent, strategising, and understanding the competitive landscape.
- Game Developers: To balance gameplay, develop new features, and understand player engagement.
- Academic Researchers: For studies in sports analytics, human behaviour in gaming, and statistical modelling.
- Individual Players: To benchmark their performance against others or understand professional play.
Dataset Name Suggestions
- Gamers Club CS:GO Match Performance
- Brazilian Counter-Strike Player Statistics
- Esports Match Data (Brazil)
- CS:GO Player Analytics Dataset
- Gamers Club Match Insights
Attributes
Original Data Source : Gamers Club CS:GO Match Performance
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