2012 · 2-4 players · 180min · weight 3.27 · 1,949 ratings
BGG raw
Description (885 chars)
Awakening the Bear is the first game in the multi-award winning Conflict of Heroes series. In it, players control individual squads and tanks to resolve the same tactical dilemmas and decisions that commanders faced during some of the most ferocious engagements of WWII. CoH features a fast and fluid system that is easy to learn but realistic to all of the unique theaters of battle portrayed. Fun: Quick simultaneous play allows players to interact without waiting. Easy: Teach a new player how to play in under 5 minutes. No charts! Historically Accurate: Portrays realistic forces and tactics. Counters: Depict individual vehicles, airplanes, guns, squads and more. Consistent: Each game in the series uses the same rule system. 2nd Edition includes all new artwork, more units & firefights. This thread discusses the differences between 1st and 2nd edition in more detail.
LLM v2 (wide)
Raw v2 JSON (1113 chars)
{
"game_id": 132028,
"name": "Conflict of Heroes: Awakening the Bear! – Operation Barbarossa 1941 (Second Edition)",
"core_verb": "spend action points, resolve attack",
"decision_shape": "mixed:spatial+probabilistic",
"reward_schedule": "mixed:immediate+delayed",
"aesthetics": [
"Challenge",
"Fantasy",
"Narrative"
],
"core_loop_pitch": "Spend a unit's action points to move/fire on a hex map; activate same unit again at escalating cost.",
"mobile_translation_difficulty": "Medium",
"translation_difficulty_reason": "Already has a faithful Steam adaptation by Matrix/Western Civ; the AP-per-unit system is clean digitally but campaign and AI complexity keep it niche.",
"direct_digital_port": "Conflict of Heroes: Awakening the Bear (Steam, Matrix Games / Western Civilization Software)",
"direct_digital_port_kind": "first_party",
"closest_loop_translation": "none yet",
"primitive_tags": [
"per_unit_action_points",
"reactivation_cost_escalation",
"initiative_pass_economy",
"command_action_card_overlay",
"hex_los_combat"
],
"confidence": 0.7
}LLM v3 (deep)
Not yet enriched at v3 (deep pass).