Analyzing adidas Collab Hype & Value through Mulebuy Reddit's Spreadsheet
Within the Mulebuy Reddit community, an innovative approach to tracking limited-edition sneaker trends has emerged. Discussion frequently revolves around the collaborative "Mulebuy adidas Tracking Spreadsheet" (MATS), which has become an essential tool for enthusiasts and resellers alike. This dataset goes beyond basic retail information, compiling crucial variables that determine sneaker culture's most sought-after releases.
Key Metrics Tracked in the Spreadsheet
- Release Context:
- Celebrity Impact Score:
- Social Media Velocity:
- Resell Patterns:Mulebuy marketplace
- Celebrity Impact Score:
A recent case study emerged regarding the adidas x Wales Bonner Samba collectors pack. The spreadsheet revealed:
"Despite lower production numbers than Pharrell Humanraces (1,800 vs 3,200 pairs), Wales Bonner hype peaked 12% higher on Twitter but with resell spreads now stabilizing at $850-$1,050 vs Humanrace's volatile $1,100-$1,400 range - a crucial divergence for investors."
Crowdsourced Predictive Analytics
What sets MATS apart is its wiki-style contribution system. Over 200 verified users submit SKU-specific updates, allowing for heatmap-style analysis of geographical demand. Moderators enforce data validation protocols, comparing forum anecdotes against completed eBay transactions (example: Confirmed 43% resell premium for US Midwest collectors on Yeezy slides through regional access constraints).
Profitability Indicators (90-Day Trend)
| Model | Retail | Peak Resell | Current Spread | Gazelle Indoor 'Terry Fox' | $130 | $390 | $285 (68% hold) |
|---|---|---|---|---|---|---|---|
| Forum Low 'The Simpsons' | $120 | $460 | $520 (post-Showcase surge) |
The Microscopy of Scarcity
One heated thread dissected how spreadsheet variables intersect: The adidas x Gucci Gazelle maintained value 14% above projected ceilings due to purely absent return listings on resale markets" - suggesting true collectors' items retain stronger long-term baseline valuations compared to speculator-targeted releases.
Surprising Data Correlation
Quantitative analysis revealed unexpected patterns—collabs featuring feminine-coded color palettes demonstrated 22% slower depreciation than aggressive color blocking, contradicting longstanding community assumptions about resellers' feature preferences.