BA Comp Analysis

908 Drexel Street - A, Unit A, McKinney, TX 75069 • 3BR/3.0BA • 1,288 sq ft

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Full Transparency: Unlike "black box" AI algorithms, our method shows exactly how we calculate market rent estimates using proven real estate appraisal principles.

How Our Algorithm Works:

Comparable Analysis

We analyze similar rental properties from RentCast's database, focusing on location, size, property type, and recent rental activity.

Advanced Exponential Weighting

Each comparable gets a weight based on its correlation score using an exponential curve that heavily rewards excellent matches.

Excellent (≥90%): Exponential weight (correlation^1.5)
Good (70-89%): Standard weight (correlation)
Fair (50-69%): Reduced weight (correlation × 0.8)
Poor (<50%): Minimal weight (correlation × 0.6, min 0.2)

Weighted Average Calculation

We calculate a weighted average where more similar properties have greater influence on the final estimate.

Weighted Rent = Σ(Comparable Rent × Weight) ÷ Σ(Weights)

Quality-Based Calculation

Our algorithm adapts based on the quality of available comparables:

High Quality (>30% excellent): Pure weighted calculation
Low Quality (<30% excellent): Light blend (85% weighted, 15% simple average)

This maximizes accuracy when we have great comps, adds stability when we don't.

Dynamic Range Calculation

We calculate a smart confidence range that adapts to market conditions and comparable quality:

High Quality: Tighter range (5-8%)
Medium Quality: Standard range (8-12%)
Low Quality: Wider range (10-15%)
Market Adaptive: Adjusts based on comparable rent volatility

Why This Method Works:

Based on proven appraisal methods
Fully transparent process
Consistent results

Prevents estimate volatility
Uses local market data
Professional credibility