Feature
Prop & Parlay Analysis
The core of PriCalc. Enter any NBA player prop and get a historical probability range — built on real game logs, filtered to your context, and honest about uncertainty.
What it does
You enter a prop — something like "Anthony Davis over 28.5 points + rebounds." PriCalc searches its database for every game where Davis hit or missed that combined threshold, runs the statistics, and returns a probability range: something like 48%–63%. That range shows you how often this prop has hit historically, and how wide the uncertainty is given the sample.
You're not getting a prediction. You're getting a picture of the history — which is exactly what you need to ask better questions.
How the math works
PriCalc uses two statistical methods to build honest ranges:
Context filters
Raw season totals don't always tell the full story. PriCalc lets you narrow the sample to match what you're actually evaluating:
Filters reduce sample size — and PriCalc adjusts automatically. A playoff-only filter on 3 seasons of data might leave you with 12–18 games. That's still useful context, but the result will be flagged if the sample falls below 15 games.
More than single props
Ready to analyze?
Free to start. 5 analyses per day on the free tier.