Pulse

Summit Score Explained

How Summit Score works, what it measures, and why we built it. A 5-minute read covering the formula, the inputs, and what makes a high score actually mean something.

June 1, 2026

Summit Score is a single number, 0 to 100, that estimates how much profit a card is likely to generate after grading — adjusted for the cost of getting there. It's our attempt to compress four moving parts into one signal that's actually useful when you're staring at thousands of listings.

This post explains the math, what each input means, and where the score is sharp vs. fuzzy.

What Summit Score actually measures

The score blends four components, each weighted to reflect how much it moves real outcomes for collectors:

How the inputs are sourced

Two data feeds power every score:

  1. SportsCardsPro (SCP) for raw and graded market prices. We pull and cache nightly.
  2. GemRate / PSA pop reports for grading distributions. The pop report is the canonical source for "how often does this card actually grade out at X?"

When either feed is stale or missing data, the corresponding component drops out of the weighted average and we flag the score as partial. A partial score is still useful — it just means one of the four legs is wobbly.

Why we don't use raw dollar profit as the only signal

A high dollar profit on a $500 raw card looks great in isolation. But the probability of actually realizing that profit depends on the gem rate, and the time-to-cash depends on how liquid the graded market is. Summit Score is our way of forcing all of that into one comparable number so you can sort a 500-row search result without losing the nuance.

What a high Summit Score does NOT guarantee

Three honest caveats:

How to use it inside Summit

Three places the score shows up:

We rev the formula as we learn — every meaningful change shows up here on Pulse.

What's next for the methodology

Two things on our research roadmap:

  1. Tiered raw-cost caps that prevent a $5 commons from running away with the score just because its profit % is mathematically huge. Already shipped in the latest version.
  2. Set-aware gem-rate priors — when a set has fewer than ~500 graded cards, we want to lean on the brand-level historical gem rate instead of the individual card's noisy population. On the roadmap.

The score will keep evolving. Methodology updates go here.