metadata
license: cc-by-4.0
tags:
- gaming
- analytics
- behavior
- user-behavior
- dataset
size_categories:
- n<1K
Cross-Title Player Behavior Dataset (PC Gaming)
This dataset captures player behavior across multiple PC games.
It focuses on how players move between titles, how their engagement concentrates, and how behavior differs across genres.
Unlike traditional game analytics datasets, this is structured around cross-title behavioral patterns rather than isolated in-game metrics.
Included
- Player → game relationships
- Session counts and duration
- Genre-level interaction signals
- Behavior clustering with confidence scores
Key Fields
- user_id (anonymized)
- game_title
- genre
- total_playtime_hours
- session_count
- avg_session_minutes
- first_played / last_played
- gs_behavior_profile
- behavior_confidence
Use Cases
- Audience quality analysis
- Cross-title migration patterns
- Portfolio overlap detection
- Retention signal discovery
Access
This is a sample dataset.
Full dataset (larger scale, longitudinal, cross-platform) is available on request.