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The Amazing Digital Circus Race

The Amazing Digital Circus Race

A Roblox experience owned by Tomato Games!.

RacingENThe Amazing Digital CircusClickerObby

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

Welcome to The Amazing Digital Circus Race 😎New update😎 -🏃New World! -🥚2 New Eggs! -🐶6 New Pets! -🎒Skins! -🎁Free Gifts! - ☘️Lucky! - 🍀Super Lucky! ❤️NEW CODE: Beach 🔴Youtubers codes: Roblerom, Kanshy, Creptiez 💡 How To Play: 🎪 Click to gain more speed ⚡ The more wins, the faster you go 🔥 To unlock new areas, perform a rebirth. Tags: Race Clicker, The Amazing Digital Circus Race, Digital circus, Digital circus race, circus, Simulator, Colorful, Super, Speed, Fun, Obby, Parkour, Race, Run, Victory, Win, Faster, Platformer, Clicker, Pogo, Ms2, tap, egg, Russo, Creptiez, Kanshy

Last updated by the developer 26 Aug 2025, 13:39 UTC.

0
playing (measured 12 Aug 2026, 04:19 UTC)
83,057
lifetime visits
21%
liked (40 👍 / 155 👎)
105
favourites (1.3 per 1k visits)
26 October 2023
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 We do not publish numbers we have not measured.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
12 Aug 2026, 04:190first reading

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

Monetization — game passes

Cain
899 R$
SuperLucky
399 R$
MoreWins
249 R$
MoreGems
249 R$
ExtraEquipped
199 R$
Lucky
149 R$
TripleOpen
149 R$
ExtraStorage
49 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! · welcome52,951

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.