Mata Hari (2008)
Mata Hari is a 2008 game by 4Head Studios, rated ★ 2.4 by 13 players, about 1 hours long. Below: 12 games like it, ranked by how much they share with it.
Games like Mata Hari
See all matches-
68%
Bone: The Great Cow RaceShares Point & Click and Singleplayer; same release year. -
68%
Bone: Out From BonevilleShares Point & Click and Singleplayer; same release year. -
64%
Nikopol: Secrets of the ImmortalsShares Point & Click and Singleplayer; same release year. -
62%
1953 - KGB UnleashedShares Point & Click and Singleplayer; rated 0.6 higher; released within 2 years. -
61%
Jack Orlando: Director's CutShares Point & Click and Singleplayer. -
60%
Tales of Monkey Island Complete PackShares Point & Click and Singleplayer; rated 1.2 higher; released within 1 year.
Overview
A 2008 game release, Mata Hari can be played on PC. Its community score is 2.4/5 from 13 ratings. Expect roughly 1 hours of play, a typical playthrough. On Metacritic it scores 63.
What players actually do with it
Finish rate = players who marked it beaten ÷ (beaten + dropped) on RAWG. Wishlist and playing-now counts refresh with every sync.
Platforms & availability
| Platform | Family | Release |
|---|---|---|
| PC | PC | Nov 2008 |
Can my PC run Mata Hari?
Minimum
OS: Windows XP/Vista, XP, 2000
Processor: CPU: 1.6 GHZ minimum, 2.0 GHZ recommended
Memory: 512 MB minimum, 1 GB recommended
Graphics: 128 MB of DirectX compatible graphics card minimum, 256 MB recommended
DirectX®: 9.0c
Hard Drive: 2 GB
Questions
When was Mata Hari released?
Mata Hari was released on November 21, 2008.
What platforms is Mata Hari on?
Mata Hari is available on PC.
How long is Mata Hari?
Average playtime for Mata Hari is about 1 hours.
How many people play Mata Hari?
462 players on RAWG own Mata Hari and 2 have it on their wishlist.
What games are similar to Mata Hari?
Closest matches in our catalog: Bone: The Great Cow Race, Bone: Out From Boneville, Nikopol: Secrets of the Immortals and 1953 - KGB Unleashed.
Core data via RAWG. Rankings and similarity are our own computation.