Michael Jordan Basketball Card on eBay Listed for $11,500

The Upper Deck Michael Jordan, Auto, Nike Home Bulls White Jersey, Jersey Size 50 listing on eBay has captured the attention of sports memorabilia collectors
Michael Jordan Basketball Card on eBay Listed for $11,500
Michael Jordan Basketball Card on eBay Listed for $11,500 /

The Upper Deck Michael Jordan, Auto, Nike Home Bulls White Jersey, Jersey Size 50 listing on eBay has captured the attention of sports memorabilia collectors and basketball enthusiasts alike. Priced at $11,500, this piece of sports history showcases an autographed Michael Jordan Bulls white jersey from Upper Deck, a company known for its quality and authenticity in sports memorabilia. The inclusion of an autograph by Michael Jordan himself adds a layer of exclusivity and desirability that is unmatched in the world of sports collectibles. This particular card not only celebrates one of basketball's greatest legends but also serves as a tangible connection to his illustrious career with the Chicago Bulls.

Interest in this item reflects the enduring legacy of Michael Jordan and the continuous demand for memorabilia associated with his storied career. As fans and collectors seek to own a piece of basketball history, items like this Upper Deck autographed jersey card become focal points for investment and nostalgia. The market for sports cards has seen significant growth in recent years, with pieces associated with iconic figures like Jordan leading the charge. This listing on eBay offers buyers a unique opportunity to invest in a piece that captures the essence of Jordan's impact on the sport and culture surrounding basketball, ensuring its value remains strong among collectors and fans alike.

Upper Deck Michael Jordan, Auto, Nike Home Bulls White Jersey, Jersey Size 50   

Platform: eBay

List Price: $11,500

Source: tremar1435 on eBay

Pricing Culture's processed data feeds on over 10 million collectibles currently available at online auction and marketplace platforms, machine learning and AI tools were used to help identify, aggregate and assemble assets, events and attributes mentioned in this article


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