Heroes

The Heroes tab provides comprehensive hero pool analysis, including hero diversity, pick rates, and performance metrics. This tab helps teams understand their hero selection patterns and identify opportunities for expanding their hero pool.

Features

Timeframe Selection

Filter hero data by various time periods:

• One Week: Last 7 days
• Two Weeks: Last 14 days
• One Month: Last 30 days
• Three Months: Last 90 days
• Six Months: Last 180 days
• One Year: Last 365 days
• All Time: Complete historical data
• Custom Range: Select specific date range using calendar picker

Note: Timeframe availability depends on subscription tier permissions.

Hero Pool Overview Card

Comprehensive analysis of your team's hero pool:

Key Metrics:

• Hero Diversity Score: Measures how varied your hero selections are (0-100%)
• Total Heroes Played: Count of unique heroes used
• Most Played Heroes: Top heroes by playtime with:
  • Hero icons
  • Total playtime
  • Number of maps played
  • Win rate
• Hero Categories: Breakdown by role (Tank, Damage, Support)
• Hero Pool Depth: Analysis of how deep your hero pool is in each role

Insights Provided:

• Identifies heroes that are overplayed or underplayed
• Highlights opportunities to expand hero pool
• Shows hero performance correlation with playtime
• Recommends heroes to practice based on low playtime but high win rate

Hero Pickrate Heatmap

Visual matrix showing hero selection patterns:

Features:

• Heatmap Visualization: Color-coded grid showing pick rates
• Hero vs Hero Analysis: See which heroes are picked together
• Pick Rate Percentages: Exact percentages for each hero combination
• Interactive Tooltips: Hover to see detailed pick rate information
• Role Grouping: Heroes organized by role for easier analysis

Use Cases:

• Identify hero synergies and common combinations
• Understand meta adaptation
• Spot over-reliance on specific heroes
• Plan hero pool expansion

Key Insights

The Heroes tab helps answer questions like:

• How diverse is our hero pool?
• Which heroes are we playing most/least?
• What hero combinations work best for us?
• Are we adapting to the meta effectively?
• Which heroes should we practice more?

Data Requirements

• Requires scrim data with hero selection information
• More accurate with larger sample sizes (more scrims)
• Timeframe filtering requires date information for each scrim

Best Practices

• Review hero pool diversity regularly to avoid becoming predictable
• Use the heatmap to identify strong hero combinations
• Track hero pool expansion over time using different timeframes
• Compare short-term vs long-term trends to see meta adaptation