Esports
This dataset comprises 1301 rounds collected from the 2024 Valorant Champions Tour Pacific and EMEA. Specifically, those rounds contain completed information on Team A and B's number of available ultimate abilities each round, the average number of ultimate points until ultimate ability for each team per round, and each team's total loadout value per round. Each round's outcomes are labeled and weighed against the predicted outcomes in future logistic regression modeling.
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Dataset Description
This dataset is designed for analyzing and predicting comeback victories in Multiplayer Online Battle Arena (MOBA) games. It is derived from match data where an objective bounty mechanism was active, providing features that highlight differences between teams with and without the bounty advantage. The dataset is ideal for machine learning tasks, such as binary classification and feature importance analysis, and it enables researchers and analysts to explore factors influencing comeback scenarios in competitive gaming.
Dataset Contents:
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91 Views
This dataset contains detailed player end-game statistics (e.g., number of kills) and in-game events (e.g., player kills) from all professional League of Legends matches held between September 15, 2019, and September 15, 2024. It encompasses a total of 37,388 matches across 392 tournaments, featuring 4,927 unique players. Matches come from all regions and tiers of play.
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966 Views
The dataset contains Game stats for all matches in the League of Legends LEC Spring Playoffs 2024. It has 81 columns and 420 rows. Here is the description of the columns.
Dataset Contents:
● Player: Name of the player.
● Role: Role of the player (e.g., TOP, JUNGLE, MID, ADC, SUPPORT)
● Team: Name of the player's team
● Opponent_Team: Name of the opposing team
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414 Views