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Formula Manager [Spa!]

Formula Manager [Spa!]

A Roblox experience owned by Race World Manager.

SimulatorENformula racingmanagementcar upgrade

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

You're the team principal. Your car drives itself, and your job is to make it faster. Start at a small entry team and climb the grid. Complete laps and overtake rivals to earn cash, then upgrade downforce, braking, top speed and acceleration. Sign for a bigger team to unlock even more development. - Upgrade your car and sign for bigger teams - Pit stops: choose your tyre compound and fuel load - Manage ERS and pace: conserve, standard or push - Use DRS and slipstream to catch the car ahead - Fastest lap board with live sector times - Vote for the next circuit Your progress is saved. How far up the grid can you get?

Last updated by the developer 26 Sept 2026, 09:09 UTC.

0
playing (measured 14 Oct 2026, 20:00 UTC)
9,998
lifetime visits
69%
liked (11 👍 / 5 👎)
64
favourites (6.4 per 1k visits)
24 August 2026
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 We do not publish numbers we have not measured.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
14 Oct 2026, 20:000first reading

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

Monetization — game passes

Early Supporter
109 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

Alpha Tester · other8,134 · 72.7% win
Early Supporter · other10 · 0.00% win
Beta Tester · 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.