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2024 Blistering Blade — The Hunted #HNT106 — AI Pre-Grade 7.5
Trading card · Public PreGradeCards report · November 9, 2026
Pre-valutata con IA
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Theme Color
Rapporto di valutazione IA
Analisi completa con sottovoti e dati di mercato
7.5
AI Grading Results
ExcellentScale 1–10 · AI
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.
Angoli
7.5
EccellenteBordi
7.5
EccellenteSuperficie
8
Near MintCentratura
8
Near Mint📷
Photo quality limited this grade
Centering capped at 8 — photo quality 30/100
A grade is only as high as the photo can prove. Retake in sharp focus, out of the sleeve, with even light and no glare — the card may grade higher.
Lato: Front (97%)Categoria: Card/Trading Card Game (100%)Danneggiata: OK (71%)Rilevamento: 59% (Card)
Limiting factor
Bordi is the weakest sub-grade at 7.5. BGS sub-grades heavily penalize edge wear. Next concern: Angoli 7.5
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
8.0
Saved Centering Score
8.0 / 10
Good centering
Centering overlay: green/red guides mark the measured printed borders; labels are the saved measurements.
Border Measurements
Saved L/R Ratio57/43
Saved T/B Ratio44/56
Left12px
Top8px
Right9px
Bottom10px
The card is shifted right horizontally and shifted up vertically relative to the image frame.
Normalized offsets: 0.0411, 0.0239, 0.0314, 0.0314
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.
Analysis Images
Original Image
Cropped Card
Overlay centratura
PGC Slab
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Image Quality Analysis
Poor — 30/100Framing: too farBackground: multiple stacks of cards and Flesh and Blood game box on white table
Photo issues
- multiple_cards_in_frame
- too_far
This photo shows multiple stacks of cards and a Flesh and Blood game box on a white table rather than a single trading card. Surrounding items and a busy background make it difficult for our automated edge detection to identify and isolate a specific card. For the most accurate assessment, please lay a single card flat on a plain, contrasting surface and move in closer so the card fills most of the photo, which provides the maximum pixel detail for corner, edge, and surface evaluation.
Hybrid Grade Forecast™
Based on our AI sub-grade analysis, here is how we expect this card to perform across major grading companies.
PSA
7
NM-MT
Rischio centratura
BGS
7.5
Mint
Sottovoto più basso
CGC
7.5
Mint
Precisione tecnica
Grade Forecast Comparison
PSA
7
BGS
7.5
SGC
6
CGC
7.5
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Live Market Comps
Recent sales & marketplace listings
SOLD
Recent Sold Comps
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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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