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League of Legends South Korea Match Metadata
Mobile Applications, Games and Usage
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About
Capturing the competitive landscape of the South Korean League of Legends server, this collection records matches played within a 24-hour window. It provides a detailed snapshot of player activity, game durations, and popular game modes in one of the world's most prominent esports regions. By utilising a brute-force methodology to query Riot API's MATCH-V5 endpoint, the data gathers a high volume of match logs to facilitate regional analysis of the gaming meta.
Columns
- Creation Time: The specific timestamp of the match recorded in GMT(+0).
- gameDuration: The total length of the match measured in seconds.
- gameId: A unique numeric identifier assigned to each match.
- gameMode: The specific style of play, such as CLASSIC or ARAM.
- queueId: The identifier for the specific game queue, which can be cross-referenced with official Riot documentation to distinguish between ranked and normal play.
Distribution
The records are organised into CSV files, with specific files like
KR_0701.csv being approximately 31.95 MB in size. The collection contains over 734,000 entries in total, including roughly 685,000 valid records with no missing or mismatched data in core columns. The dataset maintains a usability score of 10.00 and is intended for weekly updates.Usage
This resource is ideal for esports analysts looking to study the distribution of game modes and average match lengths within the South Korean professional and amateur scenes. It is well-suited for training machine learning models to predict game outcomes or durations based on historical trends. Developers can also use the data to benchmark regional server activity and queue popularity.
Coverage
The geographic scope is exclusively focused on the South Korean (KR) server. The temporal coverage spans a 24-hour period, with records primarily from July 2022. The demographic focus includes all players active on the server during the monitoring window, across various game types including Ranked Solo, ARAM, and Co-op vs. AI.
License
CC BY-NC-SA 4.0
Who Can Use It
Data science students can leverage these records to practice time-series analysis and data cleaning on a large-scale real-world dataset. Game researchers may utilise the logs to investigate the frequency of "ghost IDs" and the efficiency of API data retrieval. Additionally, League of Legends enthusiasts can use the structured format to explore regional playstyles and match statistics.
Dataset Name Suggestions
- League of Legends KR: 24-Hour Match Archive
- South Korea LoL Server Match Dynamics
- Riot API KR Server: 24-Hour Gameplay Snapshot
- League of Legends South Korea Match Metadata
- KR Server Game Duration and Mode Collection
Attributes
Original Data Source: League of Legends South Korea Match Metadata
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