u/RoWatcherHQ

>

Each square is one hour of one weekday, averaged across the whole window, all times in UTC. 168 squares in total.

Data's from RoWatcher (rowatcher.com), roughly 17,500 snapshots between March 12 and June 8, 2026. Made with Node and a hand-written SVG renderer, stored in Postgres/TimescaleDB.

I track concurrent players across Roblox and pulled every live game whose name matches the "Steal a ___" format — a viral trend that spawned a flood of near-identical clones. Plotting their current player counts on a log scale gives one of the cleanest power laws I've seen.

What's visualized: live concurrent players (CCU) per game for the top 15 of 106 "Steal a ___" games that currently have players. Log-scaled x-axis because the range runs from ~100 to ~172,000.

A few things that stood out:
- The leader, Steal a Brainrot, holds ~95% of all concurrent players across the entire 106-game cluster.
- The #2 game has 1,371 players — under 1% of the leader's 171,840.
- After the top 4, every game is below ~650 players; the tail is basically flat against the floor.
- Total live players across all 106 games is ~180,800 — and a single title accounts for ~171,800 of them.
- The cluster even contains copies of copies (multiple "Steal a Baby Brainrot" entries) — saturation captured close to real time.

Snapshot taken June 6, 2026. The "Steal a" name filter is a proxy for the trend, so a few unrelated games may slip in, but it doesn't change the shape.

Methodology: data collected via Roblox's public web API, sampled every ~10 minutes across 500,000+ games (rowatcher.com). Rendered as a log-scale bar chart.

Happy to answer methodology questions or share more breakdowns if useful.

[removed]