
Mythgard
Monumental, LLC · 2020-09-18
CasualFree To PlayIndieStrategy
Modes: Single player, Multiplayer, Co-operative · Perspectives: Bird view / Isometric
Releases: Sep 18, 2020 (PC (Microsoft Windows)), Sep 19, 2019 (iOS), Sep 19, 2019 (Android), Sep 19, 2019 (Mac)
Welcome to Mythgard, a fantasy cyberpunk CCG of heroes, gods, and mythical beasts. Master the unique lane and mana systems in your rise to the top or enjoy team play with a friend. New players can use the code WelcomeChallenger to get 20 free packs and more to start their journey.
Mythgard is a Casual, Free To Play, Indie and Strategy game released in 2020, priced at free-to-play, with an owner estimate of 200,000 .. 500,000 and a review sentiment of Very Positive (85% of 1348 reviews).
3 players in-game as of 2026-10-14 13:00 UTC (census sample)
Mythgard is a digital collectible card game originally developed and published by Rhino Games, and developed by Monumental since October 2021.
Health check
- · 3 players in-game at the last census sample.
- · 20 reviews in the last 8 weeks (~3/week).
- · Review velocity up 5% vs the prior 8 weeks.
- · Current weekly pace is under 5% of the all-time peak week (188 reviews).
- · Top 7% of 29,066 Casual games in the census by review count.
Health tier since 2026-08-31
Review momentum
Players online
Attention
Details
5 supported languages: English, Italian, French, Portuguese - Brazil, Turkish
Post-launch support: 1 DLC released, first 2021-01-27 (Steam store data)
Player tags
PvPIndieCasualSci-fiFantasyStrategyCard GameMythologyFuturisticCard Battler
Census log
- 2019-09-01First review activity on record (week of 2019-09-01).
- 2019-11-01Biggest review week on record: 188 reviews (week of 2019-11-01).
- 2026-08-21Highest concurrent player count the census has recorded: 12 (2026-08-21).
Computed from census-recorded observations only — dates are observation dates.
Players also track
Might & Magic® Heroes® VIITears of AviaCthulhu RealmsSlay the SpireAge of Wonders: PlanetfallIratus: Lord of the DeadFae Tactics
Similarity via IGDB.