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JusDrive [BETA]

JusDrive [BETA]

A Roblox experience owned by Turbo Network by Voldex Games!.

RacingENopen worldcar customizationracing

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

WARNING! Recommended for Medium-High End PCs! JusDrive is the ultimate destination for all car enthusiasts in the Roblox universe! With its expansive open world environment, players can indulge in endless hours of thrilling driving and exploration. Immerse yourself in a realistic driving experience with top-of-the-line cars and intricate details that will transport you to another world. JusDrive offers a unique gaming experience that allows you to customize your ride and compete with other players in adrenaline-fueled races. So, what are you waiting for? Join JusDrive now and rev your engines for an epic adventure!

Last updated by the developer 2 Jul 2023, 04:55 UTC.

0
playing (measured 10 Sept 2026, 08:07 UTC)
1,131
lifetime visits
92%
liked (23 👍 / 2 👎)
28
favourites (24.8 per 1k visits)
10 January 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 We do not publish numbers we have not measured.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
10 Sept 2026, 08:070first reading

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

Monetization — game passes

VIP
350 R$
Music Gamepass
25 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

Thanks For Playing! · welcome308 · 0.00% win
Thanks For Playing During Pre-Beta! · welcome78 · 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.