| ebay.com | n=18 | £1.93 | +14% |
| ebay.de | n=2 | £1.70 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 9 | 3 mo | £2.30 | 73.47 |
| eigene LP-Verkäufe ÷ 0.7581 | 5 | 2 mo | £2.72 | 2.78 |
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 | 3 mo | £2.29 | 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 | 3 mo | £2.64 | 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 | 3 mo | £2.69 | 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.
#150 · SEC
#138 · UR
#096 · UR
#15 · UR
#16 · U
#004 · RR
#15 · R
#014 · U
#SM78 · R
#SM191
#SM228
#SM231
#SM168
#SM192Frequently asked questions
What will I get for Lurantis SM Black Star Promos SM25/248 if I want to sell quickly?
Half of all sales fell between £1.73 and £2.37, with a median of £1.97. 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 Lurantis SM Black Star Promos SM25/248 unrealistic?
The cheapest genuine sales were around £1.50. Offers well below £0.90 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.