TeraBlaster (2015)
TeraBlaster is a 2015 Casual game by Black Shell Games, about 4 hours long. Below: 12 games like it, ranked by how much they share with it.
Games like TeraBlaster
See all matches-
76%
Horizon ShiftShares Shoot 'Em Up, Full controller support and Singleplayer; rated 0.7 lower; same release year. -
74%
The Blue FlamingoShares Shoot 'Em Up, Full controller support and Singleplayer; released within 1 year. -
73%
Stellar 2DShares Shoot 'Em Up and Singleplayer; rated 0.5 lower; same release year. -
71%
PolygoneerShares Shoot 'Em Up, Full controller support and Singleplayer; released within 2 years. -
71%
Planes, Bullets and VodkaShares Shoot 'Em Up, Full controller support and Singleplayer; released within 1 year. -
66%
HeckabombShares Shoot 'Em Up, Full controller support and Singleplayer; rated 0.5 lower; same release year.
Overview
A 2015 Casual release, TeraBlaster can be played on macOS and PC. Our Casual ranking places it at #612 out of 625. Expect roughly 4 hours of play, a short run you can finish in a weekend (about 26% longer than the Casual average).
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 |
|---|---|---|
| macOS | PC | Jul 2015 |
| PC | PC | Jul 2015 |
Can my PC run TeraBlaster?
Minimum
OS: Windows 7
Processor: Pentium or equivalent
Memory: 1 GB RAM
Graphics: Onboard Graphics
Storage: 10 MB available space
Sound Card: Onboard Sound
Questions
When was TeraBlaster released?
TeraBlaster was released on July 10, 2015.
What platforms is TeraBlaster on?
TeraBlaster is available on macOS and PC.
How long is TeraBlaster?
Average playtime for TeraBlaster is about 4 hours.
How many people play TeraBlaster?
470 players on RAWG own TeraBlaster.
What games are similar to TeraBlaster?
Closest matches in our catalog: Horizon Shift, The Blue Flamingo, Stellar 2D and Polygoneer.
More Casual games
All CasualCore data via RAWG. Rankings and similarity are our own computation.








