ai-grading

What 93,000 Graded Cards Reveal About Card Grading in 2026

TCGraderJuly 3, 20267 min read

What 93,000 Graded Cards Reveal About Card Grading in 2026

Most grading statistics come from small samples or anecdotes. As one of the largest AI grading platforms, we can do better: more than 93,000 cards have been graded on TCGrader across Pokémon, Magic: The Gathering, Yu-Gi-Oh!, sports cards, One Piece and Lorcana. This study analyzes the 70,602 grades with a complete numeric overall score as of July 2026.

The headline numbers

  • Average overall grade: 8.6
  • 47% of cards graded 9 or higher
  • Only 19% reached the 9.5–10 gem-mint band
  • 7% graded below 7

The full distribution

Grade bandCardsShare
9.5 – 1013,65619.3%
9 – 9.519,75228.0%
8 – 923,12732.8%
7 – 89,34313.2%
6 – 72,8834.1%
5 – 61,1961.7%
Below 56450.9%

Why this distribution skews high — and why that matters

Collectors do not grade random cards; they grade the cards they believe are their best. Even with that selection bias, four in five cards fell short of gem mint. If you extrapolate to a typical binder or bulk box, the true gem-mint rate of raw cards in the wild is far lower.

The practical takeaway: if you are paying $15–25 per professional submission, the odds say most of your "mint" cards will come back 8–9. Pre-grading is not paranoia; it is expected-value maths. (We built a full decision framework in Is your Pokémon card worth grading?)

What actually lowers grades

Our AI grades the same four attributes professional graders assess. Across the dataset, the sub-grades that most often drag the overall score down:

  1. Surface — the most common limiting factor on modern holos. Micro-scratches in the holofoil that are invisible in normal light show up clearly in angled photography.
  2. Centering — the classic ceiling on vintage WOTC-era and Japanese cards. No amount of careful storage fixes a card that left the printer 63/37.
  3. Corners — back corners specifically. Front corners survive; back corners take the whitening from binder pockets and shuffling.
  4. Edges — the least common limiting factor, but the hardest to self-assess without magnification.

How AI grading compares to professional grading

AI grading is a pre-grade: it predicts what a professional grader is likely to assign, from photographs, in seconds instead of weeks. It cannot detect issues that require in-hand inspection (trimming detection has improved, but thickness and restoration remain physical checks). Used correctly, it filters your submissions so the cards you do send to PSA, BGS or CGC are the ones with genuine 9.5+ potential.

Curious how the technology works under the hood? Read our complete guide to AI card grading, or compare approaches in AI vs PSA grading accuracy.

Grade your own cards against this dataset

Every card you grade on TCGrader is scored by the same system behind this study — with sub-grades for centering, corners, edges and surface, plus an estimated professional grade. Grade a card now and see where it lands on the distribution.

Methodology note: more than 93,000 cards have been graded on tcgrader.com in total; figures analyze the 70,602 grades carrying a valid numeric overall score through 1 July 2026. Grade bands are inclusive of the lower bound.

Tags:ai gradingdata studypsagrading statistics