The Game Census
DreamWorks Dragons: Dawn of New Riders cover art

DreamWorks Dragons: Dawn of New Riders

Climax Studios Ltd. · Outright Games Ltd. · 2019-02-15

Steam

Adventure

Franchise: How to Train Your Dragon · Modes: Single player

Join the new heroic duo, Scribbler and Patch, in an epic battle to save dragons and defeat the villain, Eir, who is controlling dragons to carry out her evil plans. 

2
playing now
100,000–200,000
owners (SteamSpy est.)
53/100
critic score (2 outlets, IGDB)
gold
deck/linux tier (ProtonDB)
$29.99
steam price (US)

2 players in-game as of 2026-08-30 07:00 UTC (census sample)

Health check

Insufficient data
  • · Not enough review history collected yet to judge health.

Players online

302026-08-11 18:00 — 2 players2026-08-12 10:00 — 1 players2026-08-13 02:00 — 3 players2026-08-13 18:00 — 1 players2026-08-14 09:00 — 0 players2026-08-15 01:00 — 2 players2026-08-15 17:00 — 1 players2026-08-16 09:00 — 2 players2026-08-17 01:00 — 2 players2026-08-17 17:00 — 2 players2026-08-18 09:00 — 0 players2026-08-19 00:00 — 1 players2026-08-19 16:00 — 1 players2026-08-20 08:00 — 0 players2026-08-21 00:00 — 1 players2026-08-21 16:00 — 1 players2026-08-22 07:00 — 1 players2026-08-22 23:00 — 1 players2026-08-23 15:00 — 0 players2026-08-24 07:00 — 1 players2026-08-24 23:00 — 1 players2026-08-25 14:00 — 1 players2026-08-26 07:00 — 0 players2026-08-26 23:00 — 2 players2026-08-27 15:00 — 1 players2026-08-28 07:00 — 0 players2026-08-28 23:00 — 1 players2026-08-29 15:00 — 1 players2026-08-30 07:00 — 2 players
Concurrent players, hourly average, last 30 days (census samples).

Details

WindowsFull controller supportSingle-playerSteam AchievementsFull controller supportRemote Play on TVFamily Sharing

4 supported languages: English, French, Italian, German

Census log

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

Players also track

Immortal: UnchainedShadows: AwakeningGreedFallEternity: The Last UnicornWarhammer: ChaosbaneGOD EATER 3Torchlight IIIDragon Marked For Death

Similarity via IGDB.

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