Technical explanation of our multi-factor scoring engine and analytical framework
Our scoring system is built on quantitative analysis, combining traditional real estate metrics with modern data science techniques. Each property receives a composite score from 0 to 100, derived from weighted evaluation across nine distinct criteria.
This methodology has been developed specifically for US auction properties including Tax Deeds, Tax Liens, and Foreclosures, where traditional valuation methods often fall short due to unique risk factors and market conditions.
Overall Score = Σ (Criterion Score × Weight)
Where weights sum to 1.0 and can be customized per user preferences
Default Weights:
Compares listing price against:
Evaluates market appreciation potential by analyzing:
This scoring system is a decision support tool, not a guarantee of investment performance. All real estate investments carry risk, and past performance does not guarantee future results.
Users should conduct their own due diligence, including property inspections, title searches, and consultation with legal and financial professionals before making investment decisions.
Quantifies location-based risks:
Calculates profit potential:
Score scaling:
Assesses rental market strength using vacancy rates, average rent prices, and demographic trends in the area.
Considers:
Based on days on market (DOM):
Auction-specific factors:
Analyzes historical days-on-market patterns for similar properties in the area to predict liquidity.