Cyborg Football Steal!
A Roblox experience owned by Cyborg Football League.
SportsENcyborgbase-buildingavatar-collection
Description (written by the developer; not a statement by this register)
Massive Updates 7 & 8 April 2026: • Complete our new Basic Training mission blocks to earn your Certified Operator certificate and unlock the full power of Cyborg Football Steal — credits, ammo, daily rewards, and more. • New Brick Crusher weapon! • Destroy droids with tank fire! It's an explosive experience... 🛡️ CYBORG FOOTBALL STEAL Cyborg Football Steal is the flagship game of the Cyborg Football League — a futuristic Roblox universe built around high-tech avatars, strategy, and progression. Players collect powerful cyborg avatars, build/defend their base, and compete in a fast-paced social arena. The League features 68 global teams plus CyborgFL HQs, representing cities around the world. Choose your team, grow your collection, and outsmart opponents by stealing high-value avatars. Join the Cyborg Football League group for community-only experiences. Participate in testing, events, and updates as the CyborgFL universe expands. Welcome to the League!
Last updated by the developer 3 Sept 2026, 12:54 UTC.
Live players over time
Growth
Growth history is still building. We hold one measurement for this entry. A trend needs at least two, taken days apart — so this will fill in on its own rather than being estimated. We do not publish numbers we have not measured.
| Measured (UTC) | Players | Change |
|---|---|---|
| 10 Sept 2026, 19:32 | 0 | first reading |
Concurrent players at each of our measurements (insert-on-change).
Monetization — game passes
Game passes for sale and their prices, measured from the Roblox passes API. Developer products bought inside the game aren’t publicly listable.
Badge funnel
How many players have ever earned each badge — a proxy for how far players get before they stop. Steep drop-offs mark where a game loses people. Win rate is the past-day share of players who earned it; categories are assigned by a language model from each badge’s own name and description.