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Game Deck Configuration Predictor Data
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About
A large collection of nearly three-quarters of a million 1v1 battles recorded from the mobile game Clash Royale. This dataset focuses specifically on matches occurring in the Upper Ladder during December 2021. It provides insight into the popular theory that a player's eight-card deck configuration, alongside their trophy count, significantly affects the outcome of the battle. This resource allows analysts to explore how the multitude of possible deck configurations perform against one another.
Columns
The data is distributed across two files:
data_ord.csv (Battle Records):
- Columns 1–8: Player 1’s deck. Each card is represented by a categorical integer ID.
- Columns 9–16: Player 2’s deck. Each card is represented by a categorical integer ID.
- Column 17: Player 1’s trophy count at the time of the match.
- Column 18: Player 2’s trophy count at the time of the match.
- Last Column: The outcome of the battle (1 indicates Player 1 wins, 0 indicates Player 2 wins).
cardlist.csv (Card ID Translation):
- id: The integer ID number used in the
data_ord.csvfile. - card: The corresponding card name (106 unique values are present).
Note: The deck columns use categorical card ID numbers, and the order of the cards within a deck list is arbitrary, reflecting that the arrangement of cards does not typically matter in the game.
Distribution
The information is available in CSV format. The main file,
data_ord.csv, contains approximately 750,000 records, with each row detailing a single battle instance. The supporting file, cardlist.csv, contains 106 records, detailing the card name translations for the integer IDs used in the battle data.Usage
This data is highly suited for predictive modelling and data science exploration. Ideal applications include:
- Developing binary classification models to predict the outcome of a match.
- Investigating the correlation between specific deck configurations, trophy counts, and winning percentages.
- Analysing card meta and performance at the upper echelons of competitive play.
Coverage
The battle data was sourced from the Upper Ladder section of the game in December 2021. The information specifically details the decks, trophy counts, and outcomes of competitive 1v1 engagements. The expected update frequency for this dataset is never.
License
CC BY-SA 4.0
Who Can Use It
- Data Scientists: For building and testing machine learning models focused on prediction using high-dimensional categorical features.
- Game Developers/Analysts: To gain insight into competitive balance, deck strength, and player behaviour at high skill levels.
- Students and Researchers: To study causality and prediction in gaming environments.
Dataset Name Suggestions
- Clash Royale Upper Ladder Battle Outcomes (2021)
- 750K Clash Royale Match Records
- Game Deck Configuration Predictor Data
Attributes
Original Data Source: Game Deck Configuration Predictor Data
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