The Game Census
Dumball Rush cover art

Dumball Rush

Goodlab Games · 2024-04-09

Steam

CasualIndieRacingSports

Modes: Single player, Multiplayer, Co-operative

Releases: Apr 09, 2024 (PC (Microsoft Windows))

Dumball Rush is an online racing party game from 2 to 8 players with a 3D third person view. The player controls a snowball that is racing against other players. Roll in the snow to be bigger and faster! Avoid obstacles and activate gifts to take advantage and win the race!

Dumball Rush is a free-to-play Casual, Indie, Racing, Sports game released in 2024, with a Positive sentiment (90% of 39 reviews).— census verdict as of 2026-09-29

90%
positive of 39 reviews
Positive
steam's rating (official)
Unsupported
Steam Deck (Valve)
SteamOS: Unsupported
Free
steam price (US)

Health check

Quiet
  • · 11 reviews in the last 8 weeks (~1/week).
  • · Review velocity down 63% vs the prior 8 weeks.
  • · Top 55% of 24,043 Casual games in the census by review count.

Review momentum

PositiveNegative
212120242026Week of 2024-04-01: 21 positiveWeek of 2024-04-01: 1 negativeWeek of 2024-05-01: 3 positiveWeek of 2024-05-01: 1 negativeWeek of 2024-08-01: 2 positiveWeek of 2024-09-01: 1 positiveWeek of 2024-10-01: 1 negativeWeek of 2024-12-01: 2 positiveWeek of 2025-01-01: 1 positiveWeek of 2025-03-01: 1 positiveWeek of 2025-05-01: 1 positiveWeek of 2025-07-01: 2 positiveWeek of 2025-11-01: 1 negativeWeek of 2026-01-01: 1 positiveWeek of 2026-03-01: 2 positiveWeek of 2026-08-01: 1 positive
Weekly review counts (Steam review histogram). Positive above the line, negative below.

Details

WindowsSingle-playerMulti-playerPvPOnline PvPCo-opOnline Co-opPartial Controller SupportFamily Sharing2 DLC

4 supported languages: English, French, Italian, German

Post-launch support: 2 DLC released, first 2024-04-09, latest 2025-01-01 (Steam store data)

Census log

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

Players also track

BarroSuper Woden GPBobo BayDDI Rally ChampionshipBemis Wamilton Racing

Similarity via IGDB.

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