AI identification & appraisal estimate

Panini Contenders Draft Picks-style Aaron Donald trading card

Submitted photo of Panini Contenders Draft Picks-style Aaron Donald trading card
Photo submitted by the user — not generated by AI

User's notes

2021 panini contenders #80

These notes were written by the person who submitted this item. Appraiser.AI has not verified them, and the AI's identification and estimate may rely on them.

AI Estimated Value

Not an official valuation

$5.00 - $15.00

AI estimate as of June 17, 2026 · verify with a professional before acting

AI-Generated · Verify before acting

Everything on this page is generated by AI for informational purposes only. AI can make mistakes — the AI may misidentify items or misattribute them (artist, maker, brand, designer, origin, era). This is not an official valuation and should not be used for insurance, sale, tax, estate, legal, or lending purposes — or any decision requiring a certified appraisal. It is not an authoritative claim about any person, brand, or rights holder — do not share or rely on it as a factual statement about a third party. Always consult qualified professionals before making financial decisions.

This analysis also relies on unverified notes provided by the user, which may be incomplete or inaccurate and could affect the result.

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AI Item Analysis

This item appears to be a modern sports trading card printed on heavy cardstock, stylistically consistent with the 2021 Panini Contenders Draft Picks series as noted by the user. The card features an action photograph of Aaron Donald during his collegiate career with the University of Pittsburgh (Pitt Panthers), wearing a white jersey with the number 97 and a gold-colored helmet. The card design utilizes a blue and silver foil motif resembling a 'Season Ticket' layout. Verbatim text on the front includes 'AARON DONALD • DT', 'SEASON TICKET', and a logo labeled 'PANINI CONTENDERS 20 DRAFT PICKS 21'. Numerical data presented in the 'SEAT', 'ROW', and 'SEC.' boxes are listed as '97', '61', and '280' respectively. The Pitt logo is visible in the upper right. The user identifies this as card #80 from the 2021 set; however, this claim is unverified without inspection of the reverse side. The card shows sharp-looking corners and edges in the photograph, though surface integrity and micro-scratches cannot be assessed from the image. The card is presented on a textured fabric surface, and its status as a factory-produced item is unconfirmed due to the possibility of high-quality reprints or digital manipulations, requiring physical verification by a professional grader to determine its exact status.

AI Appraisal Report

Based on the photograph provided, I have examined this modern sports trading card which bears markings consistent with the 2021 Panini Contenders Draft Picks series. Per user submission, the item is identified as card #80, featuring a Season Ticket design of Aaron Donald. From what I can see, the card displays sharp corners and well-defined edges, but I cannot verify the surface integrity or the presence of micro-scratches without a physical inspection. This estimate assumes the item is a standard base foil card; however, I cannot confirm if this is a specific parallel or a high-quality reproduction from an image alone. Market interest for collegiate-themed cards of professional stars typically remains steady, though values are heavily influenced by independent third-party grading. The provided range reflects the typical market behavior for raw, uncertified examples of this type. Should the card be a common reprint or digital copy, the value would be negligible, likely under $1.00. Conversely, if physically inspected and found to be a rare short-print parallel or if it were to receive a high technical grade from a professional service, the market value could increase. To establish a more precise valuation, the card would require in-person examination by a specialist to confirm the cardstock weight, foil application, and security features that are standard for this manufacturer. The current estimate remains a hypothesis based on the visual evidence and the owner's attributions.

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