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2014 Super Dimensional Robo, Diard — [FC02]Fighters Collection 2014 RRR #017EN — AI Pre-Grade 7
Trading card · Public PreGradeCards report · November 9, 2026
Pré-avaliada com IA
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Theme Color
Relatório de avaliação por IA
Análise completa com sub-notas e dados de mercado
7
AI Grading Results
ExcellentScale 1–10 · AI
Corners, edges, surface & centering — powered by computer vision.
![2014 [FC02]Fighters Collection 2014 Super Dimensional Robo, Diard — carta avaliada](/api/img-thumb?src=%2Fuploads%2F2026%2F11%2Fcropped_6af17a6aeb0bb.webp&w=640)
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.
Cantos
7
ExcelenteBordas
7
ExcelenteSuperfície
8
Near MintCentralização
8
Near MintLado: Front (71%)Categoria: Non-Sport (100%)Danificada: OK (96%)Detecção: 90% (Card)
Limiting factor
Bordas is the weakest sub-grade at 7.0. BGS sub-grades heavily penalize edge wear. Next concern: Cantos 7.0
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
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 Ratio42/58
Saved T/B Ratio59/41
Left21px
Top36px
Right29px
Bottom25px
The card is shifted left horizontally and shifted down vertically relative to the image frame.
Normalized offsets: 0.0268, 0.0378, 0.0375, 0.0268
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.
Analysis Images
Original Image
![2014, Super Dimensional Robo, Diard, [FC02]Fighters Collection 2014 #017EN — Original Image](/api/img-thumb?src=%2Fuploads%2F2026%2F11%2Foriginal_6af17a48f2eb0_1794210376.jpg&w=640)
Cropped Card
Sobreposição de centralização
PGC Slab
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Image Quality Analysis
Fair — 65/100Blown / glare
Deep shadow
GlareShadowsLighting: harsh shadowsBackground: shag carpet
Photo issues
- glare_reflection
- directional_lighting
- distracting_background
- deep shadow on the bottom-left and bottom of the card
A noticeable glare hotspot over the central text box washes out surface detail, caused by overhead lighting angled from slightly above and in front, while deep shadow obscures the bottom and bottom-left area. Additionally, placing the card on shag carpet creates an uneven, fibrous background that makes it difficult for edge-detection algorithms to accurately isolate the card's boundaries. For the clearest results, place the card on a smooth, solid, contrasting surface under diffused, even lighting so every surface and edge detail is cleanly visible.
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
Risco de centralização
BGS
7
Mint
Menor sub-nota
CGC
7
Mint
Precisão técnica
Grade Forecast Comparison
PSA
7
BGS
7
SGC
6
CGC
7
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Submit or Sell Raw?
Net profit after grading fees, shipping, and insurance
Market data does not show a grading upside after fees.
Smart move checking first. The cheapest pro submission here (~$32.03 all-in at CGC Economy) would cost more than this card returns graded — this scan just saved you that fee.
Raw Value Est.
$0.70
Graded Value Est. (7)
$1.40
Upside if 8
$2.10
Net $-29.93
| Company | Total Cost | Best Grade | Net Profit | ROI |
|---|---|---|---|---|
| CGC Economy 90 working days | $32.03 | 7 | $-30.63 | -95.6% |
| PSA Value 90-100 business days reopened Oct 29 2026 at $39.99 (was $32.99 pre-pause); new Value subs queue behind existing backlog; max insured $500 | $52.02 | 7 | $-50.62 | -97.3% |
| SGC Standard ($1,500) 40-50 business days active; raised from $15 on Sep 2 2026 | $62.03 | 6 | $-61.19 | -98.6% |
| TAG Standard 45 business days includes 1000-point Score + Card Rank; $1k coverage | $71.98 | 7 | $-70.58 | -98.1% |
| BGS Express 15 business days active via temporary submission form; includes subgrades | $91.98 | 7 | $-90.58 | -98.5% |
🎚️ What if it grades differently?
Hypothetical grade7.0
Grading company & tier
Graded value
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Net after fees
—
ROI
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*Estimates use live marketplace data and current service-tier fees from each grading company. Paused tiers are marked. Turnaround times are estimates published by the grading companies and may vary.
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Live Market Comps
Recent sales & marketplace listings
SOLD
Recent Sold Comps
No sold comps have been recorded for this card yet — check back as sales accumulate.
ACTIVE
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IMAGE MATCH
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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.
🃏
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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