Non-Sport · Marvel Champions LCG#1Front100% Confidence✓ Card text verified
AI read this text from your card
+ANT-MAN 2 THW ATK 2 DEF HERO AVENGER.TINY. Puny Pest-Response:After you change to this form,remove 1 threat from a scheme "Why don't you pick on somebody your own size?" HAND SIZE5/HIT POINTS12 Andrea Di VitoLaura Villari MARVEL2020FFG1A
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.
角
8.5
ニアミント
エッジ
8.5
ニアミント
表面
8.5
ニアミント
センタリング
6.5
ベリーグッド
Left/Right 31/69Top/Bottom 60/40
🛡︎
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.
センタリング is the weakest sub-grade at 6.5. PSA is strict; BGS/CGC moderate. Next concern: 表面 8.5
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
6.5
Saved Centering Score
6.5 / 10
Fair centering
Centering overlay: green/red guides mark the measured printed borders; labels are the saved measurements.
Border Measurements
Saved L/R Ratio31/69
Saved T/B Ratio60/40
Left14px
Top32px
Right31px
Bottom21px
The card is shifted left horizontally and shifted down 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
センタリングオーバーレイ
PGC Slab
📸
Image Quality Analysis
Fair — 65/100
Blown / glare
Deep shadow
Sleeve/HolderGlareLighting: too bright
Photo issues
sleeve_or_stack
blown-out highlights on the top-left and top and left and center — glare is hiding detail
The image offers solid focus, but the card appears to be in a protective sleeve or resting on a stack of cards, which creates extra edges and shadows that can hinder automated edge, corner, and centering detection. For the clearest results, remove the card from any sleeve or stack and place it flat on your surface as a single card. Additionally, glare across the top-left, top, left, and center obscures surface detail; using soft, diffuse light—such as indirect daylight or a lamp bounced off a wall—will prevent blown-out highlights and allow for a more accurate evaluation.
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.