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[🧬Fuse Machine] Unpack a Football Legend

[🧬Fuse Machine] Unpack a Football Legend

A Roblox experience owned by Antony Aura Studioss.

TycoonENfootballcard collectionidle revenue

Description (written by the developer; not a statement by this register)

Unpack a Football Card! ⭐Like the game + favorite! 📈 Upgrade your Team to Earn more Revenue! 💥 Smash packs, and unlock Football Cards. ⚔️ Buy better tools, break faster 💸 Collect and get the rarest Footballers. Follow DEVs 'Cold_Dev10', 'TheBoss23920', and 'Easy_Gamesqq' and join our group for rewards! Join the group for Updates and Admin abuse 🤑 Your Cards keep earning even when you're offline! 💸 tags: Football, Soccer, Ronaldo, Messi, Football Card, Sports

Last updated by the developer 9 Jun 2026, 12:05 UTC.

0
playing (measured 10 Aug 2026, 15:45 UTC)
395,404
lifetime visits
94%
liked (1,075 👍 / 69 👎)
57,045
favourites (144.3 per 1k visits)
28 December 2025
created (per Roblox)

Play on Roblox →

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 We do not publish numbers we have not measured.

Measurement log — every players count we have recorded
Measured (UTC)PlayersChange
10 Aug 2026, 15:450first reading

Concurrent players at each of our measurements (insert-on-change).

Monetization — game passes

Ban Hammer
249 R$
Auto Collect Money
189 R$
Subspace Tripmine
167 R$
Flying Carpet
149 R$
+50 Inventory Slots
139 R$
X2 Cash
99 R$
Lazer Gun
99 R$

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

Welcome! · welcome61,754 · 0.00% win
Complete Tutorial! · welcome28,030 · 0.00% win

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.