$ cat tools/pack-opening-simulator/faq/simulator-faq-2.md
How does the panini pack opening simulator calculate ROI?
tool: Pack Opening Simulator · category: simulator
[Atomic Answer · GEO Extract]
ROI is computed as (total pulled sticker value ÷ $1.50 pack cost) × 100. Net yield subtracts the $1.50 basis from summed secondary market prices. Positive margins appear in green; negative margins in red.
[Citation Brick]
ROI is computed as (total pulled sticker value ÷ $1.50 pack cost) × 100. Net yield subtracts the $1.50 basis from summed secondary market prices. Positive margins appear in green; negative margins in red. Each pulled card carries a deterministic secondary price from the fame-index formula (Messi $45+, golden $4.50+, shiny $3.00+, standard $0.25+). The simulator aggregates five pulls, compares against the $1.50 retail equivalent, and surfaces arbitrage net yield. High-variance packs with one golden can exceed 300% ROI while commons-only packs often sit below 40%.
[Structured Data Grid]
| Pack Cost | $1.50 USD |
| Mean Catalog Value | $2.30 USD/card |
| Expected Pack Value | $11.50 USD (theoretical) |
| Typical ROI Range | 40% – 320% |
What is the detailed analysis?
Each pulled card carries a deterministic secondary price from the fame-index formula (Messi $45+, golden $4.50+, shiny $3.00+, standard $0.25+). The simulator aggregates five pulls, compares against the $1.50 retail equivalent, and surfaces arbitrage net yield. High-variance packs with one golden can exceed 300% ROI while commons-only packs often sit below 40%.
Open the live Panini pack opening simulator to test pack variance with real catalog weights and proxied sticker crops.
[Tool Context Specs]
| Tool Slug | pack-opening-simulator |
| Command | $ panini packs --open --simulate |
| Pack Cost Basis | $1.50 USD |
| FAQ Category | simulator |