Lorcana guides
Lorcana Guides
Careful, practical guides that explain the simulator, card rarities, booster packs, collecting goals, foils, and unofficial pull-rate assumptions.
Helpful context for using the simulator
These guides are written for collectors and players who want to understand what the Lorcana Pack Simulator is showing. They distinguish simulator behaviour from real-world product outcomes, avoid official odds claims, and link back to the tools where the explanation is useful.
Start with pack structure if you are new to openings, rarity if card labels feel confusing, or methodology if you want the most transparent view of how this fan project handles data and simulations.
Editorial standard
Guides are manually reviewed for this site, use the current app data model where practical, and avoid price, availability, or official pull-rate claims.
Simulator tools
Opening packs
How booster packs, boxes, and simulator results should be understood.
How Lorcana Booster Packs Work
A conservative guide to Lorcana booster-pack slots, foils, special cards, and how this simulator turns imported card data into pack openings.
8 min readLorcana Booster Boxes Explained
Learn how the Lorcana booster-box simulator works, what the Current Box recap shows, and why real boxes can vary from simulations.
Understanding cards
Plain-English notes on rarity, foils, and special printings.
Lorcana Rarities Explained
Understand the Lorcana rarities represented in this simulator, how rarity differs from foil treatment, and how rarity filters work on the site.
7 min readEnchanted Cards Explained
A careful explanation of Lorcana Enchanted cards, how they appear in this simulator, and why simulated Enchanted frequency is unofficial.
8 min readLorcana Card Treatments and Foils
Understand how this simulator distinguishes card designs, printings, foil data, alternate art, Enchanted, Iconic, and checklist totals.
Collecting
Practical ways to browse, track, and plan a Lorcana collection.
About the simulator
Transparent notes about data sources, modelling assumptions, and limits.