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Revengers Multiplayer [Alpha]

Revengers Multiplayer [Alpha]

A Roblox experience owned by Revengers of Tokyo Studio.

Fighting & PvPENTokyo RevengersManga IPFighting

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

🗼 Revengers Multiplayer a game inspired from the manga "Tokyo Revengers" by Ken Wakui. 🎮 Controls : Shift - Sprint F - Blocking attack M1 - Hit Q - Dash ⚠️ The game is in beta so expect to meet issues with your gameplay experience. ⚠️ If you meet a bug please contact our STAFF and we will try to fix this issue ASAP. What has been added this update - New Spawnpoint as many of you guys, asked for it. Creator : DarkRuller1 Scripter : NoobFragged - The project has been abandoned due the lack of the support from the community and lack of staff. TAGS : TOKYO REVENGERS DO RO RD DELINQUENT ONLINE REVNEGERS ONLINE REVENGERS DREAM BOSOZOKU MOTORCYCLE CLUB

Last updated by the developer 24 Jul 2025, 12:33 UTC.

0
playing (measured 13 Aug 2026, 00:22 UTC)
4,159
lifetime visits
91%
liked (32 👍 / 3 👎)
33
favourites (7.9 per 1k visits)
7 August 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 We do not publish numbers we have not measured.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
13 Aug 2026, 00:220first reading

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

Monetization — game passes

500 Donation
500 R$
Donation
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

Alpha Version Player · other1,035 · 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.