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1995 Michael Jordan — Upper Deck Scoring #AW1 — AI Pre-Grade 7

Sports card · Public PreGradeCards report · November 9, 2026

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Grade Analysis Complete

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Michael Jordan, Upper Deck #AW1 — Excellent
Michael Jordan
Michael Jordan 1995 #AW1 Upper Deck Scoring
Upper Deck
Sport Card · basketball#AW11995Front100% Confidence
CardPlayer & team
SetUpper Deck
Card #AW1
Year1995
Sub SetScoring
PlayerMichael Jordan
TeamChicago Bulls
Player Profile
No athlete profile found — Michael Jordan
7
AI Grading ResultsENHANCED FRONT + BACK
ExcellentAI calculated grade
Front: 7Back: 8.5
Corners, edges, surface & centering — powered by computer vision. Combined front & back AI assessment.
1995 Upper Deck Michael Jordan — graded card
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
8
Near Mint
Edges
8
Near Mint
Surface
7.5
Excellent
Centering
6.5
Very Good
Left/Right 43/57Top/Bottom 33/67
🛡︎
Card photographed inside a rigid holder
Plastic and the case rim hide corner, edge and surface detail, and the holder window can throw off the centering measurement. The grade above is capped at 8 - remove the card from the holder and rescan for a full evaluation.
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Photo quality limited this grade
Centering capped at 8 — card inside a rigid holder — rim and plastic hide fine detail
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.
Side: Front (97%)Category: Card (100%)Damaged: OK (91%)Detection: 83% (Card)
Limiting factor

Centering is the weakest sub-grade at 6.5. PSA is strict; BGS/CGC moderate. Next concern: Surface 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

6.5
Saved Centering Score
6.5 / 10
Fair centering
Centering overlay
Centering overlay: green/red guides mark the measured printed borders; labels are the saved measurements.
15px31px25px33pxL/R43/57T/B33/67N5.0px
Border Measurements
Saved L/R Ratio43/57
Saved T/B Ratio33/67
Left25px
Top15px
Right33px
Bottom31px
The card is shifted left horizontally and shifted up vertically relative to the image frame.
Normalized offsets: 0.0433, 0.0199, 0.0574, 0.0402
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.

Analysis Images

Original Image
1995, Michael Jordan, Upper Deck #AW1 — Original Image
Cropped Card
1995, Michael Jordan, Upper Deck #AW1 — Cropped Card
Centering Overlay
1995, Michael Jordan, Upper Deck #AW1 — Centering Overlay
Back Image
1995, Michael Jordan, Upper Deck #AW1 — Back Image
PGC Slab
1995, Michael Jordan, Upper Deck #AW1 — PGC Slab
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Image Quality Analysis

Poor — 42/100
Sleeve/HolderGlareFraming: too farLighting: unevenBackground: wood-grain table
Photo issues
  • card_in_holder
  • severe_glare
  • perspective_angle
  • card_too_far
  • uneven lighting / shadow across part of the card
The card is photographed inside a holder, which produces glare and reflections across the surface that obscure fine surface and edge details. The shot was also taken at a perspective angle from fairly far away, and capturing the card larger provides more pixels for evaluating corners and centering. For optimal results, remove the card from the holder, lay it flat on a solid-color, high-contrast surface rather than the wood-grain table, and shoot straight-on from directly above under diffused lighting.
Card back
Back of Card
8.5Near Mint
Corners
8.5
Edges
8.5
Surface
8.5
Centering
9

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
Centering risk for 10
BGS
7
Mint
Lowest sub-grade limiting factor
6
NM-MT
Surface wear detected
CGC
7
Mint
Technical accuracy high
Grade Forecast Comparison
PSA
7
BGS
7
SGC
6
CGC
7
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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.
🔍
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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