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[OCT 8 end] Average sans rush game

[OCT 8 end] Average sans rush game

A Roblox experience owned by Average Soul Ops Studio.

Fighting & PvPENsansbattleunlockable characters

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

-[Welcome to Average Sans Rush Game] Battle against different sans enemies from different au's to unlock more vessel's aka characters! Unlock multiple Vessels and u can get upgrades from Negative! Make sure to join the server for more sneak peaks and more info on this game and reporting hackers/bug abusers.

Last updated by the developer 15 Mar 2026, 18:59 UTC.

0
playing (measured 12 Aug 2026, 09:46 UTC)
46,437
lifetime visits
76%
liked (175 👍 / 54 👎)
493
favourites (10.6 per 1k visits)
14 October 2024
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 We do not publish numbers we have not measured.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, 09:460first reading

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

Monetization — game passes

[PRE ORDER] geno evol
500 R$
Crossbones
250 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

Demo Tester · other1,023 · 0.00% win
(DS) Easy Mode Beaten · progression444 · 0.00% win
Tears On The Path · other412 · 0.00% win
The weakened killer. · other185 · 0.00% win
Snowy Paths. · other154 · 0.00% win
Party Hat · other105 · 0.00% win
yes. · other103 · 0.00% win
OCT 8 · other58 · 0.00% win
A fatality · other16 · 0.00% win
PlaceHolder · 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.