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SAW: Remastered

SAW: Remastered

A Roblox experience owned by Simpliciti Games.

HorrorENhorrorSAW IPremaster

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

The ORIGINAL SAW Game that was on ROBLOX has been recovered, and we are working on remastering it. This is currently a PUBLIC ALPHA, so expect bugs! Imagine that one 2015 ROBLOX "SAW" Game in 2025 with pc-style graphics... Well, you're looking at it! This game is quite the fear factor! (Made by Simpliciti Games, not to be confused with the polish studio Simplicity Games.) -- If anyone knows who the original creator of the original game was, please let us know! We want to credit you, stranger who made the original game in ~2015!

Last updated by the developer 3 Jul 2026, 20:55 UTC.

0
playing (measured 6 Sept 2026, 04:30 UTC)
8,873
lifetime visits
59%
liked (19 👍 / 13 👎)
106
favourites (11.9 per 1k visits)
30 October 2025
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 We do not publish numbers we have not measured.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
6 Sept 2026, 04:300first reading

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

Monetization — game passes

VIP Lite
5 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

Ending 2: Slouchy, but free! · progression261 · 0.00% win
Secret Ending: Sneaky Escapist · secret244 · 0.00% win
Ending 1: Deceptively Alluded · progression179 · 0.00% win
Joined our group! · welcome70 · 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.