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Survive the Balls [NEW!]

Survive the Balls [NEW!]

A Roblox experience owned by redshift.games.

SurvivalENsurvivalobstacle avoidancephysics-based

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

Survive the balls! The premise of this game is to try to survive the oncoming boulders. Run! 🏃‍♀️ Have you Thumbed up 👍 and Favorited 🌟 the game? It would be of great appreciation! --- Contributors---- • RRedshift - Creator 🏆 • coolje76 - Built the lobby 🔨 --- Premium benefits --- • 1.5x speed boost • Custom premium icon on Roblox leaderboard --- Group member benefits --- • none yet.. still join pls --- Update 1.3.0 --- • Level 3 is officially out! • Total revamp to the lobby!

Last updated by the developer 21 Dec 2023, 17:13 UTC.

0
playing (measured 12 Aug 2026, 03:30 UTC)
3,005
lifetime visits
94%
liked (29 👍 / 2 👎)
25
favourites (8.3 per 1k visits)
8 October 2022
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 We do not publish numbers we have not measured.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, 03:300first reading

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

Monetization — game passes

what
69,420 R$
speed coil
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

you died · other959 · 0.00% win
survive level one · progression417 · 0.00% win
survive level two · progression152 · 0.00% win
survive level three · progression90 · 0.00% win
meet the owner ✅ · other85 · 0.00% win
??? · other0 · 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.