Home/Road Splits Differential
Quantifying the true value of home court.
Overview
This pillar analyzes the statistical performance gap for NBA teams and players when they play at home versus on the road. It moves beyond the generic 3-point home-court advantage to find specific, exploitable differences in performance.
What It Does
It systematically compares key team and player statistics across home and road games. The analysis focuses on metrics sensitive to location, like shooting percentages for role players, team defensive efficiency, and pace of play. By calculating the differential, it creates a precise measure of how much a team's identity changes based on the venue.
Why It Matters
Markets often apply a uniform home-court advantage, creating inefficiencies. This pillar provides a data-driven edge by identifying teams that dramatically overperform at home or underperform on the road, information that is often undervalued in trading lines.
How It Works
First, the pillar ingests game log data for all teams, separating them into home and road contests. It then calculates advanced metrics like Net Rating and Effective Field Goal Percentage for both splits. Finally, it computes the differential between home and road performance to generate a rating that signals how much a team's quality of play depends on its location.
Methodology
The core calculation is the Net Rating Differential: (Home Offensive Rating - Home Defensive Rating) - (Road Offensive Rating - Road Defensive Rating). For player props, it analyzes True Shooting % (TS%) and Usage Rate splits for non-star players. Analysis is typically based on a rolling 20-game window to prioritize recent performance over season-long averages.
Edge & Advantage
This provides an edge by pinpointing specific teams whose home/road performance swing is much larger or smaller than the market's default point spread adjustment.
Key Indicators
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Net Rating Differential
highThe difference in a team's point differential per 100 possessions between home and road games.
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Role Player eFG% Split
mediumThe gap in effective field goal percentage for non-star players at home versus on the road.
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Turnover Percentage Split
lowMeasures how a team's ball security changes based on game location.
Data Sources
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Official source for advanced box scores, player tracking, and team performance splits.
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Provides comprehensive historical game logs, advanced statistics, and player data.
Example Questions This Pillar Answers
- → Will the Denver Nuggets cover the -9.5 point spread at home against the Sacramento Kings?
- → Will a specific role player score over 12.5 points in their upcoming road game?
- → Will the total points in the Celtics vs. 76ers game go over 225.5, given the home team's pace?
Tags
Use Home/Road Splits Differential on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
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