Trading card · Public PreGradeCards report · November 9, 2026
Esta carta fue pre-calificada con IA en aproximadamente un minuto. Descubre qué nota tendrían tus cartas antes de pagar a PSA — 2 créditos gratis al registrarte.
Corners, edges, surface & centering — powered by computer vision.
Close-up viewSelect any corner or edge on the card to inspect it here, then tap the close-up to zoom in. Tap the middle of the card to see your original photo.
Esquinas
7
Excelente
Bordes
7
Excelente
Superficie
7
Excelente
Centrado
9.5
Mint
Left/Right 52/48Top/Bottom 49/51
🛡︎
Card photographed in a sleeve
The plastic softens fine surface detail and adds glare. This grade may be optimistic - remove the card from the sleeve and rescan for a full evaluation.
Superficie is the weakest sub-grade at 7.0. SGC is strict; hurts all companies. Next concern: Bordes 7.0
PreGradeCards
AI-Powered Card Grading Analysis Report
11/11/2026
pregradecards.com
Surface inspection
Surface Lab
Five ways to see why the surface scored what it did — magnify the marks, trace the scratches, rake light across the surface. Open any tool to inspect the card yourself.
Centering Details
9.5
Saved Centering Score
9.5 / 10
Excellent centering
Centering overlay: green/red guides mark the measured printed borders; labels are the saved measurements.
Border Measurements
Saved L/R Ratio50/50
Saved T/B Ratio50/50
Left3px
Top6px
Right3px
Bottom6px
The card is centered horizontally and centered vertically relative to the image frame.
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.
Analysis Images
Original Image
Cropped Card
Superposición de centrado
PGC Slab
📸
Image Quality Analysis
Poor — 30/100
Sleeve/HolderFraming: too farBackground: anime character playmat
Photo issues
multiple_cards_in_frame
framing_too_far
This photo contains multiple overlapping cards on an anime character playmat, making it difficult for the card-detection AI to identify individual cards or detect edges cleanly. To get an accurate evaluation, please photograph a single card at a time on a plain, contrasting background, moving in closer so the card fills more of the photo for higher pixel detail. Removing the protective sleeve will also eliminate glare and plastic reflections, allowing fine surface details to be inspected properly.
Hybrid Grade Forecast™
Based on our AI sub-grade analysis, here is how we expect this card to perform across major grading companies.
Your photo quality directly affects the AI's ability to read your card accurately. Here are the most common things that can affect your grade — and how to fix them:
🖼️
Use a plain background
Patterned or colorful backgrounds make it harder for the AI to detect your card's true edges. Place your card on a solid white or light-colored surface before photographing.
🃏
Scan raw cards — no sleeves or toploaders
Penny sleeves and toploaders reflect light and blur fine details. The AI can't accurately assess corners, edges, or surface through plastic. Remove all holders before scanning.
🔍
Fill the frame — get close
The more of the image your card occupies, the more detail the AI can see. Small or distant cards lose corner sharpness and surface detail. Crop in so the card fills most of the photo.
💡
Use even, shadow-free lighting
Shadows, glare, and camera flash create artifacts that look like surface defects to the AI. Use soft, diffused lighting from multiple angles — or scan on a flatbed scanner for the most consistent results.
📐
Keep the card flat and straight
A tilted or bent card distorts centering measurements and can create false edge wear readings. Place the card flat on a solid surface and shoot directly from above.
✅ Fix these issues and rescan — you'll often see better grade on the second attempt. Every credit saves you from wasting a $25–$80 grading submission fee.
Disclaimer: PreGradeCards reports, AI pre-grade estimates, sub-grades, and market values are provided for entertainment, estimation, and evaluation purposes only. Card identification, market comps, pricing, and population data are sourced from or supplemented by third parties. We make no guarantees, promises, or warranties—implied or expressed—as to grade accuracy in comparison to any other grading organization or regarding any other information in this report. Users should independently corroborate all information with additional sources before making any decisions or taking any actions.
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