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Haku — Naruto CR #003L5 — AI Pre-Grade 9
Sports card · Public PreGradeCards report · November 9, 2026
This card was AI pre-graded in about a minute.
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Theme Color
Grade Analysis Complete
Your card has been professionally graded
9
Corners, edges, surface & centering — powered by computer vision. Combined front & back AI assessment.
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.
Front of card
Corners
9
MintEdges
9
MintSurface
9
MintCentering
9.5
MintSide: Front (96%)Category: Non-Sport (100%)Damaged: OK (99%)Detection: 61% (Card)
Limiting factor
Surface is the weakest sub-grade at 9.0. SGC is strict; hurts all companies. Next concern: Edges 9.0
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 Ratio47/53
Saved T/B Ratio47/53
Left41px
Top46px
Right47px
Bottom51px
The card is shifted left horizontally and shifted up vertically relative to the image frame.
Normalized offsets: 0.0360, 0.0288, 0.0405, 0.0319
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.
Analysis Images
Original Image
Cropped Card
Centering Overlay
Back Image
PGC Slab
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Image Quality Analysis
Good — 88/100Background: textured white wall or surface
The sharpness is crisp, making the intricate artwork, foil accents, and card code clearly legible, and the balanced, diffuse lighting keeps reflections along the top edge from obscuring details. However, the textured white wall or surface in the background provides low contrast and texture that can make it harder for our card-detection AI to cleanly isolate the card's true edges. Placing the card on a smooth, solid background with contrasting color ensures optimal corner and edge detection.
Back of Card
9.5Gem Mint
Corners
9.5
Edges
9.5
Surface
9.5
Centering
10
Hybrid Grade Forecast™
Based on our AI sub-grade analysis, here is how we expect this card to perform across major grading companies.
PSA
9
Mint
Strong candidate
SGC
9
Mint
Surface wear detected
CGC
9
Mint
Technical accuracy high
Grade Forecast Comparison
PSA
9
BGS
9
SGC
9
CGC
9
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Live Market Comps
Recent sales & marketplace listings
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Market data could not be matched to this identification, so pricing has been withheld.
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Not getting the grade you expected?
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.
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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.
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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.
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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.
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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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