LoL Champion Winrate Tier Correlation

📊 Winrate Calculation Methods

Individual Player Tiers (LoLalytics Method): Based on individual player tiers, including all games by players of a specific bracket. This provides the most accurate picture of how people in each tier perform.

Game Average Tiers (Alternative Method): Derived from game-averaged tier data. This simpler method is used by some other websites but may be less precise for tier-specific analysis.

📊 How to Read This Data

Positive Scaling Score (0.0 to 1.0)

Champion performs significantly better in higher tiers. High scaling score means both consistent improvement across tiers AND meaningful winrate increases. These champions reward skill and game knowledge.

Negative Scaling Score (-1.0 to 0.0)

Champion performs significantly worse in higher tiers. These champions may be easier to counter with better game knowledge or have lower skill ceilings.

Scaling Score combines correlation (how consistent the trend is) with winrate range (how big the effect is). A champion with 95% correlation but only 2% winrate difference will score lower than one with 90% correlation and 10% winrate difference.

🏆 Champion Winrate Tier Correlation Analysis

📊 Winrate Calculation Methods

Total Champions

Average Value

Highest Value

Lowest Value

📊 How to Read This Data