
Booster Trooper
DnS Development · 2010-04-23
Modes: Single player, Multiplayer · Perspectives: Side view
Releases: Mar 05, 2010 (PC (Microsoft Windows)), Apr 16, 2010 (Linux)
Booster Trooper is the future of multiplayer platform shooters. It provides tons of fun with its fast paced action and larger-than-life weapons. You can run or fly around the map, blasting your enemies to bits with bullets, rockets, grenades, magma and other weapons from your arsenal.
Booster Trooper is a 2010 Action and Indie game priced at $1.99, with a Mixed review sentiment (47% of 200 reviews) and an estimated 100,000 .. 200,000 owners.
0 players in-game as of 2026-10-14 16:00 UTC (census sample)
Health check
- · 0 players in-game at the last census sample.
- · 5 reviews in the last 8 weeks (~1/week).
- · Review velocity down 29% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (19 reviews).
- · Top 29% of 27,663 Action games in the census by review count.
Health tier since 2026-09-01
Review-multiple estimate from 201 total reviews — how this is computed.
All-time low: $0.49 at Steam (2015-11-25) · bundled 1×via IsThereAnyDeal
12-month high $1.99 · on sale 3 of 6 observed days (census price snapshots)
Review momentum
Players online
Price history
Completion
- · 62.6% of players earned First kill!!!
- · 3.4% of players earned Greenhorn Carnage.
- · 1.9% of players earned Skilled Avenger.
Global achievement rates from Steam.
Details
1 supported languages: English
Console footprint
| Platform | Players tracked | Completion | Trophies/achievements |
|---|---|---|---|
| Steam (Steam) | 2,684 | 4% | 260 |
Players tracked by Exophase (achievement/trophy trackers) — a sample of the player base, not total sales.
Player tags
Census log
- 2010-12-01First review activity on record (week of 2010-12-01).
- 2014-06-01Biggest review week on record: 19 reviews (week of 2014-06-01).
- 2026-08-21Highest concurrent player count the census has recorded: 1 (2026-08-21).
Computed from census-recorded observations only — dates are observation dates.
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Similarity via IGDB.