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Anime Force Training Simulator

Anime Force Training Simulator

A Roblox experience owned by Anime Force Training Simulator.

SimulatorENanimesimulatorUGC rewards

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

------------------------------------- ⭐CODES: "NEW", "OFF" ------------------------------------- ♾️Next Free UGC 5k Likes ------------------------------------- ♾️Next Free UGC 20k Likes -------------------------------------

Last updated by the developer 9 Aug 2026, 23:40 UTC.

0
playing (measured 11 Aug 2026, 11:50 UTC)
17,009
lifetime visits
97%
liked (739 👍 / 23 👎)
244
favourites (14.3 per 1k visits)
5 April 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 We do not publish numbers we have not measured.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
11 Aug 2026, 11:500first reading

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

Monetization — game passes

2x Essence Gems
699 R$
Fast Train
599 R$
VIP
399 R$
2x Defense Force
249 R$
2x Strength
249 R$
2x Magic Force
249 R$
2x Speed Force
149 R$
2x Jump Force
149 R$
Half-Cooldown
149 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

[GIFTED] 2x Essence Gems · collection0 · 0.00% win
[GIFTED] VIP · other0 · 0.00% win
[GIFTED] Half-Cooldown · other0 · 0.00% win
[GIFTED] 2x JPF · other0 · 0.00% win
[GIFTED] 2x SPF · other0 · 0.00% win
[GIFTED] 2x MF · other0 · 0.00% win
[GIFTED] 2x DF · other0 · 0.00% win
[GIFTED] 2x SF · other0 · 0.00% win
[GIFTED] Fast Train · 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.