| ebay.co.uk | n=11 | £2.02 | +19% |
| ebay.com | n=23 | £1.69 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 9 | 2 mo | £3.17 | 73.47 |
| eigene LP-Verkäufe ÷ 0.7581 | 8 | 2 mo | £2.62 | 2.84 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.992 (Sprach-Faktor aus 44 Karten) | 9 | 2 mo | £3.15 | 2.34 |
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1472 (Sprach-Faktor aus 7 Karten) | 9 | 2 mo | £3.63 | 0.43 |
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1628 (Sprach-Faktor aus 39 Karten) | 9 | 2 mo | £3.68 | 1.46 |
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#227 · UR
#262 · SEC
#119 · SEC
#184 · UR
#095 · IR
#108 · UR
#SM91 · R
#184 · R
#116 · UR
#90 · UR
#070 · R
#SM78 · R
#SM191Frequently asked questions
What will I get for Silvally SM Black Star Promos SM64/248 if I want to sell quickly?
Half of all sales fell between £1.46 and £3.15, with a median of £1.81. 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 Silvally SM Black Star Promos SM64/248 unrealistic?
The cheapest genuine sales were around £1.18. Offers well below £0.71 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.