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Beginner Online Chess Matches Data
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About
This collection tracks 1111 chess matches involving 84 players identified as novices (those beginning to learn the fundamental rules of chess). The data was acquired via the Chess.com API, and specific player identifiers were removed to maintain privacy. The primary objective is analysis, seeking to generate insights into the strategic and tactical patterns commonly employed by players at the beginner level. The dataset is suitable for academic research aiming to understand early-stage development in competitive games.
Columns
- game id: A unique numerical identifier assigned to each match.
- time_control: Represents the agreed-upon duration rules for the match, measured in seconds (e.g., 600 seconds, or 900 seconds plus 10 second increments).
- end_time: The Unix timestamp indicating the precise moment the game concluded.
- initial_setup: Describes the starting position of the game, consistently showing the standard chess opening setup.
- time_class: Categorises the speed of the match, with "rapid" being the most frequent classification, followed by "blitz."
- rules: Details the adopted ruleset, which is standard chess.
- white_rating: The rating of the player who controlled the white pieces in the match.
- black_rating: The rating of the player who controlled the black pieces in the match.
- pgn: The full game notation recorded in Portable Game Notation format.
Distribution
The data consists of 1111 individual records, captured in a tabular structure with 9 columns. The data file is available as a CSV (novice_players.csv), typically sized at around 2.44 MB. The dataset is notable for its high quality, with 100% validity across all records and 0% missing values reported for the key fields. The majority of matches are classified under the "rapid" time control.
Usage
Ideal applications include statistical modelling of beginner chess performance and error rates. The data can be used to study how time controls influence decision-making among new players. Developers may leverage this information to train machine learning models for educational purposes, focusing on anticipating common novice mistakes or providing tailored instruction for beginners.
Coverage
The dataset covers games played on the Chess.com platform. The time period spans matches that ended between late 2022 and early 2023, based on the Unix timestamps provided. The demographic scope is highly specific, focusing only on players designated as novices, defined as those who have recently started learning basic chess rules.
License
CC0: Public Domain
Who Can Use It
Academics and Researchers studying learning mechanisms and error patterns in complex strategy games. Chess Coaches and Educators seeking empirical evidence to tailor training programmes for beginners. Game Developers and Data Scientists building tools or AI specifically designed to analyse or assist beginner-level chess play.
Dataset Name Suggestions
- Chess.com Novice Player Game Archive
- Beginner Online Chess Matches Data
- Game Statistics of Novice Chess Players
- Analysis of 1111 Beginner Chess Games
Attributes
Original Data Source: Beginner Online Chess Matches Data
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