Conor Anthony McGregor is an Irish professional mixed martial artist. He is a former Ultimate Fighting Championship (UFC) Featherweight and Lightweight Champion, becoming the first fighter to hold UFC championships in two weight classes simultaneously. He is also a former simultaneous Cage Warriors Fighting Championship (CWFC) Featherweight and Lightweight Champion.
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.
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
9.5
ミント
Left/Right 50/50Top/Bottom 46/54
🛡︎
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.
📷
Photo quality limited this grade
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.
表面 is the weakest sub-grade at 8.0. SGC is strict; hurts all companies. Next concern: エッジ 8.0
PreGradeCards
AI-Powered Card Grading Analysis Report
11/11/2026
pregradecards.com
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 Ratio50/50
Saved T/B Ratio46/54
Left39px
Top33px
Right39px
Bottom39px
The card is centered horizontally and shifted up vertically relative to the image frame.
Border widths as a fraction of the card's full dimension (0.05 = 5%). Lower = tighter.
Analysis Images
Original Image
Cropped Card
センタリングオーバーレイ
PGC Slab
📸
Image Quality Analysis
Good — 78/100
Sleeve/HolderBackground: textured dark surface
Photo issues
card_in_holder
The card is photographed inside a holder, which introduces surface glare, reflections, and plastic scratches that can obscure surface details and edge clarity. Because our automated assessment relies on direct visibility, taking the card out of the holder prevents artificial marks from interfering with the analysis. For the most accurate results, place the bare card flat on an even, non-reflective surface under soft, indirect lighting.
Hybrid Grade Forecast™
Based on our AI sub-grade analysis, here is how we expect this card to perform across major grading companies.
Net profit after grading fees, shipping, and insurance
Submit to CGC (Economy)
Predicted 8 could net $100.34 after CGC fees, shipping, and insurance. Upside: if it grades 9, est. net $167.86.
Raw Value Est.
$67.52
Graded Value Est. (8)
$135.04
Upside if 9
$202.56
Net $167.86
Company
Total Cost
Best Grade
Net Profit
ROI
CGC Economy
90 working days
$34.70
8
+$100.34
289.2%
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
$54.69
8
+$80.35
146.9%
TAG Standard
45 business days
includes 1000-point Score + Card Rank; $1k coverage
$74.65
8
+$60.39
80.9%
BGS Express
15 business days
active via temporary submission form; includes subgrades
$94.65
8
+$40.39
42.7%
SGC Standard ($1,500)
40-50 business days
active; raised from $15 on Sep 2 2026
$64.70
7
+$16.32
25.2%
🎚️ What if it grades differently?
Hypothetical grade8.0
Grading company & tier
Graded value
—
Net after fees
—
ROI
—
*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.
📊
Live Market Comps
Recent sales & marketplace listings
6 soldMedian (USD): $64.992 activeAsking median (USD): $64.99
Sold Price Distribution (USD)
5
$15
$326
$636
$947
$1,257
$1,568
$1,878
1
$2,189
Sold Price Trend · 4 sales, 3 days
▲ +132.4% last 2 days
SOLD
Recent Sold Comps
Listing
Price
Source
3d bust Conor mcgregor Ireland ufc sport mma Khabib 30cm
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.