Player Usage vs. Efficiency Matrix
Identify overrated players hiding behind high volume.
Overview
This pillar analyzes the relationship between a player's usage rate and their scoring efficiency. It helps pinpoint players whose high point totals are misleading, creating opportunities to position against inflated expectations in player prop markets.
What It Does
The pillar plots a player's Usage Rate against their True Shooting Percentage on a 2x2 matrix, benchmarked against the league average. This categorizes players into four distinct types: efficient stars, valuable role players, inefficient volume scorers, and bench players. The primary focus is on identifying players in the high-usage, low-efficiency quadrant.
Why It Matters
Simple points per game can be deceptive. This analysis provides a deeper, more accurate assessment of a player's true offensive value and consistency, revealing which players are likely to underperform when their high volume of shots is not sustainable.
How It Works
First, we collect game-by-game player statistics for possessions, field goals, free throws, and turnovers. Next, we calculate each player's Usage Rate and True Shooting Percentage over a rolling 10-game window. Finally, these metrics are plotted against the NCAA Division I averages to flag players who consume many possessions but score inefficiently.
Methodology
Usage Rate is calculated as 100 * ((FGA + 0.44 * FTA + TOV) * (Team MP / 5)) / (Player MP * (Team FGA + 0.44 * Team FTA + Team TOV)). Efficiency is measured by True Shooting Percentage (TS%), calculated as Points / (2 * (FGA + 0.44 * FTA)). The matrix quadrants are defined by the league median for both metrics.
Edge & Advantage
This provides an edge by systematically finding players whose point props are inflated by public perception, creating consistent value on 'under' bets.
Key Indicators
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Usage Rate %
highThe percentage of team possessions a player uses while on the floor.
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True Shooting % (TS%)
highA measure of scoring efficiency that accounts for 2-point field goals, 3-point field goals, and free throws.
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Turnover Rate (TOV%)
mediumThe percentage of a player's possessions that end in a turnover.
Data Sources
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Provides advanced analytics and efficiency metrics for NCAA college basketball.
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Offers comprehensive player and team statistics, both basic and advanced.
Example Questions This Pillar Answers
- → Will Player X score over/under 18.5 points against a top 25 defense?
- → Will Player Y record a True Shooting Percentage above 55% in tonight's game?
- → Which of these two high-usage guards will have a better offensive rating in the tournament?
Tags
Use Player Usage vs. Efficiency Matrix on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
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