The Game Census
The Art Theft by Jay Doherty cover art

The Art Theft by Jay Doherty

Google · 2018-12-03

Steam

Adventure

Modes: Single player

Releases: Dec 03, 2018 (PC (Microsoft Windows)), Dec 03, 2018 (SteamVR)

The Art Theft by Jay Doherty is an interactive VR narrative that injects 3D drawings created by the user into the unfolding narrative of a reimagined “Mad Libs” experience. Go down a rabbit hole with Butch the Bear, Wesley the Wolf, and Mr. Maple the Goat, who make you feel like you’re on a classic heist.

93%
positive of 43 reviews
Positive
steam's rating (official)
0–20,000
owners (SteamSpy est.)
Free
steam price (US)

Health check

Quiet
  • · 9 reviews in the last 8 weeks (~1/week).
  • · Review velocity down 18% vs the prior 8 weeks.
  • · Top 60% of 24,976 Adventure games in the census by review count.

Review momentum

PositiveNegative
7720182026Week of 2018-12-01: 7 positiveWeek of 2019-01-01: 2 positiveWeek of 2019-02-01: 1 positiveWeek of 2019-03-01: 3 positiveWeek of 2019-06-01: 1 positiveWeek of 2019-08-01: 1 positiveWeek of 2019-09-01: 2 positiveWeek of 2019-12-01: 1 negativeWeek of 2020-01-01: 1 positiveWeek of 2020-06-01: 1 positiveWeek of 2020-07-01: 1 positiveWeek of 2020-09-01: 2 positiveWeek of 2020-11-01: 1 positiveWeek of 2020-12-01: 1 negativeWeek of 2021-01-01: 1 positiveWeek of 2021-07-01: 1 positiveWeek of 2022-01-01: 1 positiveWeek of 2022-12-01: 1 positiveWeek of 2023-02-01: 2 positiveWeek of 2023-08-01: 1 positiveWeek of 2023-09-01: 1 positiveWeek of 2024-02-01: 3 positiveWeek of 2024-03-01: 1 positiveWeek of 2024-05-01: 1 positiveWeek of 2025-04-01: 1 positiveWeek of 2025-05-01: 1 positiveWeek of 2025-05-01: 1 negativeWeek of 2025-08-01: 1 positiveWeek of 2025-09-01: 1 positiveWeek of 2025-11-01: 1 positiveWeek of 2026-01-01: 1 positiveWeek of 2026-03-01: 1 positive
Weekly review counts (Steam review histogram). Positive above the line, negative below.

Details

WindowsSingle-playerTracked Controller SupportVR OnlyFamily Sharing

Census log

Computed from census-recorded observations only — dates are observation dates.

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Similarity via IGDB.