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ProGamers Badge Walk

ProGamers Badge Walk

A Roblox experience owned by PROGamerJW.

OtherENbadge huntingcross-promotion

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

[New Badges are out] there are more badges in my other game : https://www.roblox.com/games/6315493722/NEW-Badges-Kreeky-Town

Last updated by the developer 5 Dec 2024, 00:51 UTC.

0
playing (measured 10 Aug 2026, 22:00 UTC)
2,155
lifetime visits
87%
liked (66 👍 / 10 👎)
86
favourites (39.9 per 1k visits)
11 January 2021
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 We do not publish numbers we have not measured.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, 22:000first reading

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

Monetization — game passes

Mega Vip
250 R$
Get 10 Player Badge
150 R$
Vip
36 R$
Get 1 Player Badge
20 R$
Get a Player Badge
20 R$
buy
10 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

Progamerjw · other857 · 0.00% win
iiiBasicJolly · other701 · 0.00% win
RebelsRevolution · other695 · 0.00% win
Bus3203 · other689 · 0.00% win
Xynosphered · other664 · 0.00% win
100 Visits · other646 · 0.00% win
qpvxnqp · other624 · 0.00% win
qpvxnqp · other580 · 0.00% win
Progamerjw · other569 · 0.00% win
SpaceHelpout · other532 · 0.00% win
koojdn · other530 · 0.00% win
shaunlewis28 · other529 · 0.00% win
Likes 30 Coming soon · other503 · 0.00% win
1k Visits Coming Soon · other503 · 0.00% win
Thank you Bus3203 · other351 · 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.