| ebay.co.uk | n=29 | $3.26 | +153% |
| ebay.com | n=4 | $1.29 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 3 mo | $3.54 | 65.31 |
| eigene LP-Verkäufe ÷ 0.6964 | 11 | 3 mo | $3.54 | 3.1 |
| eigene PSA8-Verkäufe ÷ 5.0133 | 2 | 2 mo | $3.85 | 1.37 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.203 (Sprach-Faktor aus 29 Karten) | 8 | 3 mo | $4.25 | 2.21 |
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.0889 (Sprach-Faktor aus 8 Karten) | 8 | 3 mo | $7.37 | 0.35 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten) | 8 | 3 mo | $8.19 | 1.97 |
Measured error for this era×language (backtest): ±169 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#180 · SEC
#118 · U
#174 · U
#87 · U
#126 · U
#128 · U
#21 · C
#11 · R
#5 · R
#10 · R
#9 · R
#2 · R
#4 · R
#16 · RFrequently asked questions
What will I get for Exp. Share Dragon Vault 18/20 if I want to sell quickly?
Half of all sales fell between $2.30 and $3.90, with a median of $2.91. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.
Below which price is an offer for Exp. Share Dragon Vault 18/20 unrealistic?
The cheapest genuine sales were around $1.17. Offers well below $0.70 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
How does lastsold determine the market value?
lastsold uses only real sales — eBay plus auction houses like Goldin & Fanatics — recent sales count more (recency weighting), outliers and fakes are removed. It's not an estimate but actual sold prices, separated by condition, language and grading.