Home Court Advantage Valuation (HCA)

Overview

This pillar analyzes the tangible point advantage a team gets from playing in their home venue. It moves beyond generic estimates by evaluating specific factors like crowd hostility, travel fatigue for opponents, and historical performance data.

What It Does

The Home Court Advantage Valuation model ingests historical game data, focusing on a team's performance metrics at home versus on the road. It then adjusts this baseline using environmental variables like arena altitude, opponent travel distance, and referee assignment data. The final output is a precise point value for a team's home advantage in a specific matchup, often differing from the market's standard.

Why It Matters

Market makers and the public often apply a generic 2.5 to 3 point value for home court advantage. This pillar finds an edge by identifying venues where the true advantage is significantly higher or lower, creating value opportunities in point spread and moneyline markets.

How It Works

First, the system calculates a team's baseline performance differential using stats like effective field goal percentage and turnover rate at home versus away over a rolling 2-season window. Second, it layers on situational factors like the visiting team's travel distance and any altitude difference. Finally, it synthesizes these data points into a single, adjusted point value representing the true home court advantage for that specific game.

Methodology

A multi-factor regression model is used to determine HCA. The primary variable is the difference in Adjusted Efficiency Margin (AdjEM) from home vs. road games over the last 50 games. This is weighted against opponent travel distance (in miles), altitude differential (in feet), historical home performance against the spread (ATS), and home vs. away foul differentials.

Edge & Advantage

This pillar provides an edge by precisely valuing famously difficult or surprisingly neutral venues, finding mispriced lines the general market overlooks.

Key Indicators

• Venue Performance Differential

  high

  Compares a team's offensive and defensive efficiency metrics (e.g., eFG%, TOV%) at home versus on the road.

• Altitude & Travel Factor

  medium

  Quantifies the negative impact on visiting teams playing at high altitude or after long-distance travel.

• Historical Home ATS

  high

  Measures a team's historical performance against the spread when playing in their home venue.

Data Sources

• KenPom

  Provides adjusted efficiency metrics, which are crucial for comparing home and road performance.

• TeamRankings

  Offers historical betting data, including against the spread (ATS) records for home and away games.

• NCAA Official Statistics

  Source for raw box scores, play-by-play data, and official game results.

Example Questions This Pillar Answers

• → Will the Kansas Jayhawks cover the -10.5 point spread against Baylor at Allen Fieldhouse?
• → What is the probability the Colorado Buffaloes beat a sea-level opponent at home?
• → Will the away team score under their projected total when playing at West Virginia's Coliseum?

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