
Panoptic
Team Panoptes · 2020-10-08
Modes: Multiplayer · Perspectives: First person, Virtual Reality
Releases: Oct 08, 2020 (PC (Microsoft Windows)), May 16, 2019 (SteamVR)
Panoptic is a local multiplayer VR game that pits you against a friend, where you play as either the giant Overseer or tiny Challenger in a stealthy game of cat and mouse. Will the Challenger slip away undetected through the crowds, or will the Overseer track them down with their powerful laser eye?
Health check
- · 11 reviews in the last 8 weeks (~1/week).
- · Review velocity down 39% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (35 reviews).
- · Top 26% of 25,370 Action games in the census by review count.
Review-multiple estimate from 328 total reviews — how this is computed.
Current store prices
| lowest across shops (ITAD) | $16.99 |
Deal snapshots via CheapShark, refreshed daily.
All-time low: $4.24 at Steam (2026-09-14) · bundled 2×via IsThereAnyDeal
12-month high $16.99 · on sale 4 of 8 observed days · $12.75 above the all-time low (census price snapshots)
Review momentum
Price history
Completion
- · 53.6% of players earned The cracks begin to show
- · 19.3% of players earned Crowd controlled
- · 0.2% of players earned Dissident
Global achievement rates from Steam.
Details
3 supported languages: English, French, Dutch
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 721 | 0% | 35 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Player tags
VRIndieActionCasualRunnerShooterStealthStylizedDystopian Party Game
Census log
- 2019-05-01First review activity on record (week of 2019-05-01).
- 2020-10-01Biggest review week on record: 35 reviews (week of 2020-10-01).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Shadows: Heretic KingdomsELDERBORN33 ImmortalsHYPER DEMONKnightfall: A Daring JourneyPathfinder: Gallowspire Survivors
Similarity via IGDB.