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Card back — Knockout Autograph — AI Pre-Grade 7

Sports card · Public PreGradeCards report · November 9, 2026

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AI鑑定レポート

サブスコアとマーケットデータ付きの完全分析

Identified Card
mma card back (reverse side) Knockout Autograph
Knockout Autograph
7
AI Grading Results
ExcellentScale 1–10 · AI
Corners, edges, surface & centering — powered by computer vision.
Card back — 鑑定済みカード
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
ニアミント
エッジ
8
ニアミント
表面
8
ニアミント
センタリング
6.5
ベリーグッド
Left/Right 45/55Top/Bottom 70/30
🛡︎
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
Surface capped at 8 — card inside a rigid holder — rim and plastic hide fine detail
Corners capped at 8 — card inside a rigid holder — rim and plastic hide fine detail
Edges capped at 8 — card inside a rigid holder — rim and plastic hide fine detail
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.
面: Back (94%)カテゴリー: Card (100%)損傷: OK (98%)検出: 61% (Card)
Limiting factor

センタリング is the weakest sub-grade at 6.5. PSA is strict; BGS/CGC moderate. Next concern: 表面 8.0

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

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.
54px23px36px44pxL/R45/55T/B70/30N7.4px
Border Measurements
Saved L/R Ratio45/55
Saved T/B Ratio70/30
Left36px
Top54px
Right44px
Bottom23px
The card is shifted left horizontally and shifted down vertically relative to the image frame.
Normalized offsets: 0.0522, 0.0577, 0.0639, 0.0246
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.

Analysis Images

Original Image
Card back — Original Image
Cropped Card
Card back — Cropped Card
センタリングオーバーレイ
Card back — センタリングオーバーレイ
PGC Slab
Card back — PGC Slab
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Image Quality Analysis

Fair — 72/100
Sleeve/HolderLighting: unevenBackground: business card over dark textured mat
Photo issues
  • card_in_holder
  • distracting_background
  • uneven lighting — part of the card sits in shadow
The card is captured with sharp text details, but photographing it inside a holder introduces surface reflections and shadows that can obscure card details—removing it from the holder ensures our detection AI sees the card directly. Additionally, resting the card on a business card over a dark textured mat creates overlapping edges along the bottom, making it harder for the AI to clearly isolate the card's boundaries. Placing the card directly flat on a plain, high-contrast surface will ensure clean edge detection and the most 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.

PSA
7
NM-MT
センタリングリスク
BGS
7
ミント
最低サブスコア
6
NM-MT
表面の摩耗
CGC
7
ミント
技術的精度
Grade Forecast Comparison
PSA
7
BGS
7
SGC
6
CGC
7
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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

Live eBay Listings

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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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