60 big card sales, and not one we could price
The 60 largest card sales we tracked on September 20 ran from $250,000 down to $9,302. Not one could be priced against comparable sales.
By Luke Jacobi · Sep 21, 2026

Make More in Cards
The 60 largest card sales we tracked on September 20 ran from $250,000 down to $9,302. Not one could be priced against comparable sales.
By Luke Jacobi · Sep 21, 2026
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Updated Sep 21, 2026 36,606 eBay sales tracked Methodology
* best-offer listing — eBay publishes the seller's asking price on those, not what was paid, so they are excluded from every volume and median figure on this page. Unmarked prices are confirmed.
Where the money went, Jul 28 – Sep 21, 2026
Which categories the money actually went into
| 1 | Pokemon | $10,867,817 | 60.2% | |
| 2 | One Piece | $1,920,470 | 10.6% | |
| 3 | Basketball | $1,838,924 | 10.2% | |
| 4 | Baseball | $1,334,853 | 7.4% | |
| 5 | Other CCG | $816,850 | 4.5% | |
| 6 | Football | $604,169 | 3.3% | |
| 7 | Riftbound | $184,555 | 1.0% | |
| 8 | Yu-Gi-Oh | $141,585 | 0.8% | |
| 9 | Soccer | $141,171 | 0.8% | |
| 10 | Magic | $114,599 | 0.6% | |
| 11 | Hockey | $49,705 | 0.3% | |
| 12 | WWE | $23,158 | 0.1% | |
| 13 | Motorsport | $15,772 | 0.1% |
Volume is the sum of confirmed sale prices in the window. It is a read on tracked eBay sales over $2,000, not the whole hobby.
Stories where the tape and the asking price disagree
Selected from our own reporting, not from a model — a story runs here when it documents a price gap or a confirmed move. The figure beside each headline is that story's own number. Not investment advice.
About this data. Figures cover tracked eBay card sales
over $2,000 for Jul 28 – Sep 21, 2026. Coverage at and above that floor is complete; below it there is nothing.
Volume and median use confirmed sales only; best-offer listings are marked *
and excluded from those figures, because eBay publishes the asking price on them.
Medians are a market read, not an appraisal.
How this is made. RazMania market reporting is compiled from our
own tracked-sales database using automated tools, and reviewed before publishing. Figures
come from that dataset — never from a language model.