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A Roblox experience owned by The Coders 101.

Fighting & PvPENfightingragdoll physicscombo mechanics

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

A fighting game with unique character movesets, you can do combos with the various moves and ragdoll physics. Movelist is shown upon selecting class on right side of your screen. Credits: Scripters: dfmannen, 11murrr, Awz3IsHere Modeler: man_net Animators: man_net, 11murr Vfx Artist: sssuperherobrine, Zermon2 Music Composers: Krisir on youtube, Geri Builders: mikdu39, zontorian, Awz3IsHere Important: data does not save in private servers since everyone has admin The game is still work in progress, if you want to support it we gladly take donations.

Last updated by the developer 19 Jul 2026, 18:49 UTC.

0
playing (measured 15 Aug 2026, 11:35 UTC)
3,728
lifetime visits
79%
liked (38 👍 / 10 👎)
40
favourites (10.7 per 1k visits)
26 May 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 We do not publish numbers we have not measured.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
15 Aug 2026, 11:350first reading

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

Monetization — game passes

Big Donation
500 R$
Medium donation
100 R$
Emote Pack
50 R$
Flying machine
15 R$
Early Access
10 R$
Small donation
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

Obtained Ferrum · other97 · 0.00% win
Obtain Number One · progression92 · 0.00% win
Obtained Santa · collection35 · 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.