Adidas Resale Predictions: Data Modeling Approach Using basetao Spreadsheet
2025-06-19
Introduction
In the competitive world of sneaker resale, predicting Adidas "hype" models requires a data-driven approach. This article explains how to leverage basetao spreadsheet data to forecast the next breakout Adidas collaborations and limited editions.
Key Data Points to Track
- Search Volume Trends
- Seller Inventory Patterns
- Platform Price Variance
- Colorway Velocity
- Seller Inventory Patterns
Modeling Methodology
- Export 3-month historical data from basetao spreadsheets (sort by Adidas filter)
- Calculate week-over-week demand growth rates using:
(Current_Week_Searches - Previous_Week_Searches)/Previous_Week_Searches × 100 - Apply weighting to identify genuine hype (minimum 40 Chinese forums/sellers mentioning model)
- Score recent rare restocks (7-10% restock frequency window suggests upcoming demand peak)
Runner SectionUltraboost Iteration
Predicted Resale Premium
Data Confidence Score
22.2 China Exclusive180%
88/100
Samba OG Birch240%
76/100
Caveats
"Spreadsheet predictions cannot account for sudden celebrity co-signs - a major external factor in the resale market. Combine basetao data with Weibo hot topic monitoring for comprehensive forecasting."
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Caveats
"Spreadsheet predictions cannot account for sudden celebrity co-signs - a major external factor in the resale market. Combine basetao data with Weibo hot topic monitoring for comprehensive forecasting." ```