| ebay.it | n=2 | £1.70 | +118% |
| ebay.es | n=9 | £1.51 | +93% |
| ebay.de | n=5 | £1.11 | +42% |
| ebay.com | n=9 | £0.78 | — |
How is this value calculated?
Recency-weighted trimmed median of 6 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set -12% nachgeführt | 6 | 3 mo | £0.99 | 48.98 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8701 (Sprach-Faktor aus 64 Karten) | 6 | 3 mo | £0.93 | 2.5 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0231 (Sprach-Faktor aus 41 Karten) | 6 | 3 mo | £1.09 | 1.24 |
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 × 1.0927 (Sprach-Faktor aus 30 Karten) · Set -15% nachgeführt | 6 | 3 mo | £1.06 | 1.9 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#143 · 
#186 · 
#82 · 
#72 · 
#116 · 
#093 · 
#105 · 
#64 · 
#112Frequently asked questions
What will I get for Bisharp Obsidian Flames 149/197 if I want to sell quickly?
Half of all sales fell between £0.85 and £1.57, with a median of £1.11. 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 Bisharp Obsidian Flames 149/197 unrealistic?
The cheapest genuine sales were around £0.73. 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.