3-Point Reliance & Variance Risk

Overview

This pillar analyzes a basketball team's dependence on 3-point scoring relative to their opponent's ability to defend the perimeter. It identifies 'high-variance' teams that are prone to massive upsets or blowouts based on shooting streaks.

What It Does

It calculates a 'Volatility Index' by combining volume metrics (3PA/FGA) with efficiency variance. It simultaneously evaluates the opponent's defensive style—specifically their ability to run shooters off the line or force contested shots—to predict the range of possible scoring outcomes.

Why It Matters

In NCAA CBB, teams with high 3-point reliance introduce massive variance into game outcomes. Traditional models often regress to the mean (average shooting), but single-game trading requires understanding the 'tail risks'—the likelihood of a team shooting 20% or 50% in a specific matchup.

How It Works

The algorithm ingests season-long play-by-play data to determine the percentage of offense derived from beyond the arc. It then adjusts this baseline against the opponent's 'Allowed 3P Rate' and 'Contested Shot Rate'. Finally, it runs a Monte Carlo simulation to generate a spread of probable score differentials based on shooting variance.

Methodology

Calculates the 'Rim-and-3' ratio excluding garbage time possessions. Utilizing a rolling 5-game average for 'Shooting Form' weighted at 30%, and season-long 'Shot Quality' metrics weighted at 70%. Variance risk is derived using the standard deviation of the team's Effective Field Goal percentage (eFG%) in games where 3PA > 25.

Edge & Advantage

Markets often price games based on average efficiency. This pillar identifies situations where the 'Spread' is mispriced because it ignores the widened distribution of outcomes caused by high-volume 3-point shooting teams facing weak perimeter defenses.

Key Indicators

• 3PA/FGA Ratio

  high

  Percentage of total field goal attempts taken from 3-point range.

• Opponent Open 3 Rate

  high

  Frequency with which the opposing defense allows uncontested perimeter shots.

• Shooting Consistency Index

  medium

  Standard deviation of a team's 3P% over the last 10 games.

Data Sources

• KenPom / Torvik

  Advanced possession-based efficiency metrics.

• Synergy Sports

  Play-type data and defensive contest rates.

• NCAA Official Stats

  Raw box score data for volume calculations.

Example Questions This Pillar Answers

• → Will [Underdog Team] cover the +12.5 spread against [Favorite]?
• → Will the total score of Duke vs. UNC exceed 155.5 points?
• → Will [High Variance Team] win the game outright as a moneyline underdog?

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