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Forestry

#431493BGG ↗

2025 · 1-4 players · 120min · weight 3.27 · 904 ratings

v2 v3 v4 wide v4 deep

BGG raw

ID
431493
Name
Forestry
Year
2025
Rank
2616
Min players
1
Max players
4
Playing time
120
Min playtime
70
Max playtime
120
Avg weight
3.2692
Num weights
52
Bayes avg
6.10564
Average
7.72892
Users rated
904
Num owned
1836
Wanting
170
Wishing
1504
Num comments
193
Fetched at
Sat May 02 2026 15:54:45 GMT+0000 (Coordinated Universal Time)
Mechanisms (5)
Action PointsContractsEnd Game BonusesHexagon GridVariable Player Powers
Categories (4)
EducationalEnvironmentalFarmingIndustry / Manufacturing
Description (1348 chars)

In Forestry, players take on the role of forest stewards dedicated to sustainable forest management. The game challenges players to balance the demands of harvesting resources and fulfilling contracts with the need for environmental conservation. Every action taken has a lasting impact on the forest's health, and players are encouraged to make responsible choices, from planting new trees to adjusting water streams for optimal moisture retention. Drawing from the expertise of real-life foresters, Forestry provides a realistic and educational glimpse into the work of forestry, making it as engaging as it is enlightening. As a Eurogame focused on strategic action management, Forestry relies on a dual-worker system in which players control a harvester and a manager, each with distinct responsibilities. The harvester moves through the forest, felling trees to meet contract demands, replanting saplings, constructing infrastructure, and adjusting water retention to promote a healthy ecosystem. Meanwhile, the manager oversees resource collection, utilizes sawmill buildings, fulfills contracts, and optimizes wood processing. Players must carefully allocate action points between these workers to make sustainable choices, enhance infrastructure, and ensure the forest thrives while meeting demand. —description from the publisher

LLM v2 (wide)

Not yet enriched at v2 (wide pass).

LLM v3 (deep)

Not yet enriched at v3 (deep pass).

LLM v4 wide (controlled-vocab primitives)

Not yet enriched at v4 (wide pass).

LLM v4 deep (archetype fit)

Not in the v4 deep-pass top-20% slice.