HOOP PROPS

NBA Props, Modeled — Not Marketed

NBA Player Props, Quantified. Not Guessed.

Hoop Props is a data-driven NBA prop betting analytics platform that converts raw betting lines into true probabilities, measurable edge, and confidence tiers you can trust — no hype, no “locks,” no vibes.

Every slate is modeled using multiple independent statistical methods to help you identify which props are actually mispriced.

Stop guessing. Start betting with math.

Data-Driven NBA Player Prop Analysis Built for Long-Term Winners

Hoop Props analyzes NBA player props using a multi-model probability engine designed to surface real prop betting edge — not short-term noise.

The result: clear, transparent player prop probabilities and confidence tiers that help you decide when a prop is worth playing — and when to pass.

This isn’t a picks site.
It’s a decision-support system for NBA prop bettors.
Multi-Model Engine
  • Historical performance distributions
  • Bayesian priors to stabilize small samples
  • Kernel Density Estimates (KDE) for non-normal outcomes
  • Monte Carlo simulations to stress-test variance

Why Hoop Props Is Different

True Probability, Not Opinion

Every prop includes model-derived win probabilities — no emojis, no hype, no “locks.”

Confidence Tiers Backed by Multiple Models

Props are graded only when several independent statistical methods agree, reducing false confidence.

Edge Detection on Every Line

Identify where sportsbooks are mispricing player outcomes — and where the edge doesn’t exist.

Daily NBA Slates, Automatically Updated

Lines refresh as markets move, so probabilities stay relevant — not stale screenshots.

Built for Consistency, Not Lottery Tickets

Designed for bettors focused on process, discipline, and long-term expected value betting.

Built for Serious NBA Prop Bettors

Hoop Props is for bettors who care about expected value, want transparent math, and prefer passing bad slates over forcing action.

If you’re tired of guessing — or blindly tailing picks — Hoop Props gives you the framework to think independently.

  • Care about expected value, not gut feel
  • Want transparent math, not black-box picks
  • Prefer passing bad slates over forcing action
  • Think in probabilities, not guarantees
Find the edge. Skip the noise.
Start with model-backed player prop probabilities and disciplined decision-making.