The Game Census
Street Heat cover art

Street Heat

Astalo Games · PQube · 2019-12-12

Steam

IndieRacing

Modes: Single player, Multiplayer

Releases: Nov 29, 2017 (PC (Microsoft Windows))

Four-player arcade racing with a sensational synthwave soundtrack! Take to city streets in local or online mutiplayer and race across hazardous tracks. Boasting an unbelievably satisfying handling model, Street Heat will have you punching the air as you master its seat-of-your-pants drift physics.

63%
positive of 49 reviews
Mixed
steam's rating (official)
60/100
IGDB user rating (0 ratings)
Unknown
Steam Deck (Valve)
SteamOS: 0
$7.99
steam price (US)

Health check

Quiet
  • · 7 reviews in the last 8 weeks (~1/week).
  • · Review velocity up 250% vs the prior 8 weeks.
  • · Top 50% of 49,869 Indie games in the census by review count.

Review momentum

PositiveNegative
2220172026Week of 2017-11-01: 2 positiveWeek of 2017-12-01: 2 positiveWeek of 2018-01-01: 1 positiveWeek of 2018-03-01: 1 negativeWeek of 2018-04-01: 1 positiveWeek of 2019-01-01: 1 negativeWeek of 2020-02-01: 1 negativeWeek of 2020-05-01: 1 positiveWeek of 2020-09-01: 1 negativeWeek of 2023-01-01: 1 positiveWeek of 2024-02-01: 1 negativeWeek of 2024-10-01: 1 positiveWeek of 2025-02-01: 1 positiveWeek of 2025-05-01: 2 negativeWeek of 2025-07-01: 1 positiveWeek of 2026-09-01: 1 positive
Weekly review counts (Steam review histogram). Positive above the line, negative below.

Details

WindowsFull controller supportSingle-playerMulti-playerPvPOnline PvPShared/Split Screen PvPShared/Split ScreenSteam AchievementsFull controller supportSteam CloudRemote Play Together1 DLC

11 supported languages: English, French, Italian, German, Spanish - Spain, Japanese, Korean, Russian, Simplified Chinese, Thai, Traditional Chinese

Post-launch support: 1 DLC released, first 2017-12-04 (Steam store data)

Census log

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

Players also track

Razortron 2000Barro 2020Barro FBarro RacingTrash Top Down Racing

Similarity via IGDB.

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