cobouz_0 eBay Seller
Sales history, pricing trends, and Best Offer behavior for cobouz_0 based on tracked eBay sold listings.
About this seller
This seller page summarizes historical eBay sales we’ve tracked for cobouz_0, including recent sales, top sales, and Best Offer acceptance trends. Use the time range and grading filters to compare behavior over time.
Best Offer Behavior
Not enough data
Fewer than 2 fixed-price sales tracked in the last 90 days.
We only calculate discounts when a Best Offer was actually accepted on a fixed-price listing.
Recent Accepted Offers
| Card | List | Accepted | Discount | Sold | |||
|---|---|---|---|---|---|---|---|
|
Base Citrine
#86
2025 Panini Black
|
$49.00 | $45.00 | 8% | 12/12/2025 | History | eBay |
|
Treasured Rookies
#4
2024 Panini National Treasures
|
$79.00 | $60.00 | 24% | 10/9/2025 | History | eBay |
|
Crossover Rookie Patch Autographs Brand Logo
#38
2024 Panini National Treasures
|
$299.00 | $200.00 | 33% | 9/20/2025 | History | eBay |
|
Base Midnight
#79
2024 Panini National Treasures
|
$129.00 | $100.00 | 22% | 9/19/2025 | History | eBay |
Recent Sales
| Card | Set | Grade | Price | Sold | Link |
|---|---|---|---|---|---|
| No sales found for the selected filters. | |||||
Market Trend (90D)
Top Sets
| Year / Set | Sales | Avg Price | |
|---|---|---|---|
| No set data yet. | |||
FAQ
We don’t have enough tracked fixed-price sales in the last 90 days to estimate Best Offer acceptance.
We track sold listings and pricing data over time, then summarize recent sales, top sales, and price trends so you can compare cards and make more informed offers.
Best Offer applies to fixed-price listings where a buyer makes an offer and the seller accepts. Auctions are bid-based and the final price is whatever the bidding ends at.
Data is derived from publicly visible eBay listing information and historical sold records we’ve collected over time. Use the “View on eBay” link to see the seller’s live profile.
Seller behavior varies by season, inventory, and pricing strategy. Your range filter changes which time window we’re summarizing, so the rate can move as new sales are tracked.