Esports Win Prediction Data
Sports & Recreation
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About
This dataset aims to facilitate the prediction of League of Legends ranked game outcomes by analysing in-game statistics collected during the first 10 minutes of play. League of Legends is a Multiplayer Online Battle Arena (MOBA) game where two teams, blue and red, compete to destroy the opposing Nexus. The dataset captures crucial early-game metrics from approximately 10,000 solo queue ranked games played by high-calibre players in the Diamond I to Master ELO tier, where participants are generally of similar skill levels. It offers a valuable resource for understanding how initial game dynamics can influence the final victory.
Columns
- gameId: A unique Riot ID for each game, which can be utilised with the Riot Games API to fetch additional attributes.
- blueWins: The target variable for prediction, with a value of '1' indicating a blue team victory and '0' otherwise.
- blueWardsPlaced: The number of warding totems deployed by the blue team on the map. Warding totems reveal nearby areas, assisting with map and objective control.
- blueWardsDestroyed: The count of enemy warding totems destroyed by the blue team.
- blueFirstBlood: Indicates if the blue team secured the first kill of the game ('1' for true, '0' for false).
- blueKills: The total number of enemies killed by the blue team.
- blueDeaths: The total number of deaths suffered by the blue team.
- blueAssists: The number of kill assists recorded by the blue team.
- blueEliteMonsters: The number of elite monsters (such as Dragons and Heralds) killed by the blue team. Elite monsters provide significant in-game bonuses.
- blueDragons: The number of dragons killed by the blue team. Dragons grant team-wide bonuses, with increasing benefits for subsequent kills.
- blueHeralds: The number of Heralds killed by the blue team. The Herald provides a stat bonus and assists in pushing lanes and destroying structures.
- blueTowersDestroyed: The number of enemy structures, primarily towers, destroyed by the blue team. Towers provide gold and must be destroyed to reach the enemy Nexus.
- blueTotalGold: The aggregate gold accumulated by the blue team.
- blueAvgLevel: The average champion level of players on the blue team (levels range from 1 to 18).
- blueTotalExperience: The aggregate experience gained by the blue team.
- blueTotalMinionsKilled: The total number of minions killed by the blue team. Minions are NPC units that grant gold when killed.
- blueTotalJungleMinionsKilled: The total number of jungle minions killed by the blue team. Jungle minions are neutral NPCs that provide gold and buffs.
- blueGoldDiff: The blue team's gold difference relative to the enemy team.
- blueExperienceDiff: The blue team's experience difference relative to the enemy team.
- blueCSPerMin: The blue team's minions killed (CS) per minute.
- blueGoldPerMin: The blue team's gold earned per minute.
- redWardsPlaced: The number of warding totems deployed by the red team on the map.
- redWardsDestroyed: The count of enemy warding totems destroyed by the red team.
- redFirstBlood: Indicates if the red team secured the first kill of the game ('1' for true, '0' for false).
- redKills: The total number of enemies killed by the red team.
- redDeaths: The total number of deaths suffered by the red team.
- redAssists: The number of kill assists recorded by the red team.
- redEliteMonsters: The number of elite monsters (such as Dragons and Heralds) killed by the red team.
- redDragons: The number of dragons killed by the red team.
- redHeralds: The number of Heralds killed by the red team.
- redTowersDestroyed: The number of enemy structures, primarily towers, destroyed by the red team.
- redTotalGold: The aggregate gold accumulated by the red team.
- redAvgLevel: The average champion level of players on the red team.
- redTotalExperience: The aggregate experience gained by the red team.
- redTotalMinionsKilled: The total number of minions killed by the red team.
- redTotalJungleMinionsKilled: The total number of jungle minions killed by the red team.
- redGoldDiff: The red team's gold difference relative to the enemy team.
- redExperienceDiff: The red team's experience difference relative to the enemy team.
- redCSPerMin: The red team's minions killed (CS) per minute.
- redGoldPerMin: The red team's gold earned per minute.
Distribution
The dataset is provided in CSV format and has a file size of 1.45 MB. It contains stats from approximately 10,000 unique ranked games, with each game represented by 38 features (19 per team). The dataset is noted to have no missing values.
Usage
This dataset is ideal for:
- Developing machine learning models to predict the outcome of League of Legends ranked games based on early-game statistics.
- Conducting feature engineering to derive deeper insights into the game's mechanics and player performance.
- Analysing the impact of early game leads (gold, experience, objectives) on win probability in high-level play.
- Research into esports analytics and competitive gaming strategies.
Coverage
The dataset focuses on solo queue ranked games within the Diamond I to Master ELO tier, representing matches between highly skilled players of roughly equivalent levels. No specific geographic region or time range is noted, but
gameId
can be used for further querying the Riot API.License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building and evaluating predictive models for esports outcomes.
- Esports Analysts and Coaches: To gain a better understanding of critical early-game indicators for success in competitive League of Legends.
- Game Researchers: To study player behaviour, strategic advantages, and the dynamics of competitive gaming environments.
- League of Legends Enthusiasts and Statisticians: For personal analysis and exploration of high-tier gameplay data.
Dataset Name Suggestions
- League of Legends Early Victory Predictor
- LoL Diamond Ranked 10 Min Stats
- Esports Win Prediction Data
- High ELO League of Legends Metrics
- Summoner's Rift Early Game Analysis
Attributes
Original Data Source: Esports Win Prediction Data