Score model
Hot Score
Combines log-scaled current players, 1h/24h/7d growth, rank velocity, and rating quality. Growth is clamped to avoid tiny baselines dominating the radar.
Methodology
Explainable rankings, visible confidence
Game Trend Radar is designed to show why a game appears, where the signal comes from, and how much trust to put in the result.
Score model
New Score
Weights first-seen recency, Roblox created date, recent updates, 24h growth, and a non-saturation factor that lowers long-running evergreen games.
Score model
Tool Opportunity
Looks for repeat lookup mechanics such as trading, value lists, stock rotations, mutations, codes, tier lists, raids, pets, and crafting.
Score model
Confidence
Uses source freshness, number of confirming sources, consistency, history depth, and recent source success rate. Missing history lowers confidence instead of hiding the game.
Source Boundary
Production collection uses Roblox web APIs and feature-flagged discovery sources. Third-party Roblox analytics sites are product references only and are not automatically scraped.