HOOP PROPS

A probability engine for NBA player props.

NBA Player Props, Quantified. Not Guessed.

Hoop Props converts posted NBA prop lines into probability estimates and confidence tiers using multiple statistical models.

See where model estimates diverge from market lines and decide when a prop is worth a closer look.

3-day trial · $5/month after

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How Hoop Props Works

A simple workflow that turns posted lines into probability estimates and confidence tiers.

Step 1

Posted prop lines are collected from supported platforms.

Step 2

Multiple statistical models estimate outcome distributions.

Step 3

Probability estimates and confidence tiers are generated.

Step 4

Differences between model output and posted lines are surfaced.

Why Hoop Props Is Different

The product is built to surface signal cleanly, not overwhelm you with noise.

Model-Derived Probabilities

Every prop includes estimated probabilities derived from statistical models.

Multiple Models, Not One

Confidence tiers are assigned only when several independent methods agree.

Process Over Picks

Hoop Props surfaces signal. You decide when a prop is worth a closer look.

Multi-Model Probability Engine

Hoop Props estimates player prop probabilities using multiple statistical methods designed to reduce noise and improve signal stability.

This helps produce more stable estimates than relying on recent trends alone.

  • Historical performance distributions
  • Bayesian priors for small samples
  • Kernel density estimates (KDE)
  • Monte Carlo simulations

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3-day trial · $5/month after

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