Adidas Resale Trend Prediction: Data Modeling Approach with Hoobuy Spreadsheet
2025-08-05
In the fast-paced world of sneaker reselling, accurate trend prediction for Adidas "hype" products is crucial for resellers. Hoobuy's spreadsheet-based data modeling provides a powerful tool to forecast upcoming bestsellers in the Adidas ecosystem.
Data Collection Framework
The Hoobuy model aggregates multiple data streams:
- Historical Sales Data:
- Social Media Metrics:
- Sneakerforum Mentions:
- Retailer Waitlist Data:
- Social Media Metrics:
Key Modeling Components
1. Hype Index Calculation
Weighted algorithm combining social mentions ×0.4, forum activity ×0.3, and pre-release indicators ×0.3.
2. Supply-Demand Matrix
Compares production volume leaks against aggregated reseller pre-order demand.
Application: Samba OG Prediction
Our model successfully flagged the 2023 Samba resurgence 9 weeks before major price spikes:
| Metric | Week 0 | Week 6 | Week 9 |
|---|---|---|---|
| Hype Index | 62 | 118 | 204 |
| Avg. Resale Premium | 8% | 35% | 91% |
Implementation for Resellers
- Import cleaned Hoobuy dataset into Google Sheets/Excel
- Apply the pre-configured
=PREDICT_HYPE()- Cross-reference with historical analogs using
=MODEL_COMPARE() - Cross-reference with historical analogs using
Pro Tip: Combine with rental platform search data (e.g., Rotaro searches) for digital-to-physical demand correlation.