| ebay.es | n=17 | £1.51 | +48% |
| ebay.de | n=2 | £1.22 | +19% |
| ebay.co.uk | n=4 | £1.14 | +11% |
| ebay.com | n=13 | £1.03 | — |
| ebay.nl | n=2 | £1.02 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 16 | 2 mo | £0.74 | 130.61 |
| eigene LP-Verkäufe ÷ 0.9125 | 3 | 2 mo | £1.69 | 5.65 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8125 (Sprach-Faktor aus 42 Karten) | 16 | 2 mo | £0.60 | 3.07 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2281 (Sprach-Faktor aus 21 Karten) | 16 | 2 mo | £0.91 | 2.05 |
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.3466 (Sprach-Faktor aus 12 Karten) | 16 | 2 mo | £0.99 | 6.71 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#168 · SIR
#216 · SIR
#222 · HR
#202 · UR
#141 · RR
#102 · V
#124 · R
#054 · HR
#078 · IR
#098 · HR
#067 · IR
#066 · IR
#068 · IRFrequently asked questions
What will I get for Bloodmoon Ursaluna Shrouded Fable 025/64 if I want to sell quickly?
Half of all sales fell between £1.03 and £1.58, with a median of £1.23. 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 Bloodmoon Ursaluna Shrouded Fable 025/64 unrealistic?
The cheapest genuine sales were around £0.74. Offers well below £0.44 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.