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slap battles: dumb edition

slap battles: dumb edition

A Roblox experience owned by delitris studios.

MinigamesENslap battlesoverpowered glovesunbalanced gameplay

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

this is basically slap battles but with even less balancing and more stupidly overpowered and broken gloves. Play the og game here: https://www.roblox.com/games/6403373529/update-D-Slap-Battles

Last updated by the developer 27 Apr 2026, 18:10 UTC.

0
playing (measured 15 Aug 2026, 03:37 UTC)
1,732
lifetime visits
71%
liked (10 👍 / 4 👎)
5
favourites (2.9 per 1k visits)
4 November 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 We do not publish numbers we have not measured.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, 03:370first reading

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

Monetization — game passes

delitris glove
12 R$
spectator
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

godfruit · collection74 · 0.00% win
May the force be with you · other45 · 0.00% win
we got a number 1 victory royale yea fortnite · other24 · 0.00% win
you took the bait · progression19 · 0.00% win
1K · progression15 · 0.00% win
long live the king · progression12 · 0.00% win
Huh · other7 · 0.00% win
milk · other7 · 0.00% win
into the bunker · secret7 · 0.00% win
alien king · progression6 · 0.00% win
Admin · other6 · 0.00% win
how · other5 · 0.00% win
WOW · other4 · 0.00% win
Umm · 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.