Mobile Legends Hero Data & Analytics

Columns

• Name: The common names used to identify each hero.
• Title: Describes the hero's archetype or race (e.g., Elf, Angel, Ninja).
• Voice_Line: A unique audio quote associated with each hero.
• Release_Date: The official date when the hero was launched on the game's original server.
• Primary_Role: The hero's main designated role within a team.
• Secondary_Role: An additional suitable role for the hero; a nan value indicates no secondary role.
• Lane: The typical play style or lane assignment for the hero.
• Hp: The hero's health points.
• Hp_Regen: The rate at which the hero regenerates health.
• Mana: The hero's mana points; a nan value indicates heroes that do not utilise mana.
• Mana_Regen: The rate at which the hero regenerates mana.
• Phy_Damage: The amount of physical damage dealt by the hero's basic attacks.
• Magic_Damage: The amount of magic damage dealt by the hero's basic attacks; a value of 0 suggests the basic attack deals physical damage.
• Phy_Defence: The hero's physical defence rating.
• Mag_Defence: The hero's magic defence rating.
• Mov_Speed: The hero's movement speed stat.
• Esport_Wins: The total count of e-sports matches where the hero was selected by a team and that team achieved victory.
• Esport_Loss: The total count of e-sports matches where the hero was selected by an e-sports team and that team lost.

Distribution

Usage

• Exploratory Data Analysis (EDA) of hero attributes and their correlations with e-sports performance.
• Analysing hero pick rates, win/loss ratios, and overall effectiveness in competitive Mobile Legends: Bang Bang matches.
• Identifying meta trends, hero power spikes, and the impact of game patches on hero viability.
• Informing game balancing decisions by providing insights into hero strengths, weaknesses, and role distribution.
• Developing predictive models for hero performance based on their statistics.
• Facilitating visualisations and data storytelling using libraries like pandas and Seaborn to understand complex game dynamics.

Coverage

License

Who Can Use It

• E-sports Analysts and Enthusiasts: To delve into strategic insights, hero power rankings, and competitive play.
• Game Developers and Designers: For evaluating hero balance, character design, and the impact of game updates.
• Data Scientists and Machine Learning Practitioners: To practice data processing, analysis, and model building on real-world game data.
• Academic Researchers: For studies on game mechanics, player behaviour in MOBA games, or the dynamics of e-sports.
• Mobile Legends Players and Content Creators: To gain a deeper statistical understanding of their favourite heroes and the game's meta.

Dataset Name Suggestions

• Mobile Legends: Bang Bang E-sports Hero Stats
• MLBB Competitive Hero Performance Data (2022)
• Mobile Legends Hero Data & Analytics
• E-sports Hero Statistics for MLBB

Attributes