# What Is a Convergence Score? How HeatCheck Grades Every Prop

> How HeatCheck HQ's multi-factor convergence engine works, what the scores actually mean, and how to use them to build a sharper prop card.

**Date:** 2026-03-02  
**Author:** HeatCheck HQ  
**Tags:** Prop Analyzer, Guide, MLB, NBA, NFL  
**Full article:** https://heatcheckhq.io/blog/convergence-score-explained  
**Live picks & dashboards:** https://heatcheckhq.io

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Sportsbooks post thousands of player props every day. The hard part was never finding something to bet — it's knowing which bets have real data behind them and which ones you're just hoping on.

That's what the convergence score solves.

## The Core Idea

A convergence score counts how many independent data signals point in the same direction for a given prop. Recent form, matchup quality, usage trends, line movement, historical performance — each one evaluates the prop from a different angle. When most of them agree, you've got convergence. When they're split, the picture is murky and you should probably pass.

The number of factors depends on the sport. NBA and NFL props are scored across 9 factors. MLB uses 10 (the extra factor captures umpire zone tendencies, which meaningfully affect strikeout and walk props). The [Prop Analyzer](/check) shows you exactly which factors are firing and which aren't — nothing is hidden behind a black box.

## What the Factors Cover

Rather than listing all 9-10 factors in detail (the Analyzer shows them for every prop you check), here's what they capture at a high level:

**Recent performance** — Is the player producing at or above the line right now? Not just season averages, but EWMA-weighted recent output that catches momentum shifts.

**Matchup quality** — How does the opposing defense handle this position and stat category? A guard facing a bottom-five assist defense is in a different spot than one facing a top-five unit.

**Line value** — Is the sportsbook line set in a place where the data suggests there's an edge? This includes market movement and sharp money signals when available.

**Situational context** — Home/away splits, rest, pace, teammate injuries that shift usage. Small edges individually, but they stack.

**Historical patterns** — Season-long hit rates, consistency (low variance + high hit rate is the dream), and how decisively the player clears or misses the threshold.

For MLB specifically, opposing pitcher quality carries the highest weight (20%), and factors like ballpark effects, platoon splits, and Statcast metrics (barrel rate, exit velocity) add dimensions that don't exist in basketball or football.

## What the Tiers Mean

Here's what we've seen from our tracked picks:

**7+ factors firing (High Convergence)** — Our top-tier NBA picks have hit at 63.6% across 66 scored picks. When this many independent signals agree, the data case is about as strong as it gets. These are your lead plays.

**5-6 factors (Solid)** — More signals support the prop than oppose it, but it's not unanimous. Playable, especially if the missing factors are neutral rather than actively negative. Worth a smaller position.

**3-4 factors (Mixed)** — The data is split roughly down the middle. At -110 juice you need 52.4% to break even, and mixed-signal props don't reliably clear that bar. Skip these unless you have information the model doesn't — a lineup change, a late scratch, something concrete.

**0-2 factors (Weak)** — The data is working against you. Either pass or look at the other side of the prop.

## A Real Example

On March 3, Darius Garland's assists over 7.5 came through the system with 8 of 9 NBA factors firing. His L10 hit rate was 80%, DVP matchup against Washington ranked 27th, he was on a five-game streak, it was a home game, and Cleveland's backup point guard situation funneled extra ball-handling his way. The one miss — margin of coverage — reflected that Garland's misses tend to land around 6-7 assists rather than right at the line.

He finished with 11.

That's what convergence looks like in practice. Not a guarantee — an 8/9 still misses sometimes. But a situation where the data is overwhelmingly aligned in one direction.

## How to Actually Use It

**As a filter.** Hundreds of props are available every night. Set a minimum — say, 7+ convergence — and only research the ones that clear it. This cuts the noise immediately.

**As a second opinion.** You like a prop based on your own research? Run it through the Analyzer. If convergence confirms it, bet with more conviction. If it comes back at 3, figure out what you're missing.

**As a sizing guide.** High convergence gets full units. Solid convergence gets half units. Mixed signal gets nothing. Simple allocation that keeps your bankroll disciplined.

The convergence score is available for every prop on the [Prop Analyzer](/check) — any player, any stat, any line, with full factor-by-factor transparency.


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*Data powered by HeatCheck HQ — sports analytics platform. Free tools at https://heatcheckhq.io*