The State of Pre-Grading 2026: What 2,000 AI-Analyzed Cards Reveal

We analyzed a sample of 2,000 recent trading cards graded by the TCGAI.PRO AI (out of 7,400+ total since December 2025). The headline: the average predicted grade was 8.5 / 10, but only 15.7% of cards reached a perfect Gem Mint 10. Most submitted cards land in the 9-range — close to the top, but not quite there, which is exactly where collectors lose money submitting blind.

This report shares what real pre-grading data reveals about card condition across Pokémon, sports cards, One Piece and other games — using the standard 1-10 grading scale. All grades are AI estimates, not official grades.

Key findings

Predicted grade distribution

How the 2,000 cards scored on the 1-10 scale. Note the cluster at 9 and 10 — and the steep drop below 8.

The 9-to-10 gap is where money is made or lost

65.5% of cards were predicted Mint 9 or higher, yet only 15.7% earned a perfect 10. That gap is the single most important number for collectors: a 9 and a 10 of the same card can differ several times in value, and the difference usually comes down to tiny centering or surface flaws invisible at arm's length. Pre-screening tells you which side of that line your card is likely on before you pay to submit. Learn the factors in our card condition guide and the 1-10 scale explained.

What collectors are grading (by game)

Share of the sample by category:

Pokémon leads submissions, followed closely by sports cards — mirroring the wider hobby. Try the dedicated tools for Pokémon, sports cards and One Piece.

Most-analyzed sets

• Pokémon 151 — 74 cards
• Topps (various) — 85 cards
• Ascended Heroes — 54 cards
• Topps Baseball — 52 cards
• Crown Zenith — 39 cards
• Scarlet & Violet — 31 cards
• Mega Evolution — 29 cards
• Perfect Order — 29 cards

Takeaways for collectors

• Assume 9, not 10. Only ~1 in 6 cards hit a perfect grade. Budget and price for a 9 unless a pre-grade says otherwise.
• Pre-screen before submitting. Most cards cluster just below the top — pre-grading catches the small flaws that cap a grade.
• Centering and surface decide the 9-vs-10. They were the most common grade-limiting factors in our data.

Methodology

Based on 2,000 of the most recent card analyses run by TCGAI.PRO between December 2025 and June 2026. Grades are AI predictions on the standard 1-10 scale, not official grades from any professional grading service. TCGAI.PRO is an independent tool and is not affiliated with any grading company or card manufacturer. Data is indicative of cards collectors chose to scan, not the hobby as a whole.

Try the free AI pre-grading tool and see where your cards land before you submit.