| ebay.co.uk | n=3 | £1.27 | +63% |
| ebay.es | n=4 | £1.26 | +61% |
| ebay.com | n=8 | £0.78 | — |
How is this value calculated?
Recency-weighted trimmed median of 5 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 | 5 | 2 mo | £0.79 | 40.82 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8832 (Sprach-Faktor aus 64 Karten) | 5 | 2 mo | £0.70 | 3.37 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.251 (Sprach-Faktor aus 40 Karten) · Set +10% nachgeführt | 5 | 2 mo | £1.05 | 3.6 |
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 × 1.1051 (Sprach-Faktor aus 30 Karten) | 5 | 2 mo | £0.87 | 2.03 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#109 · U
#51 · C
#54 · C
#39 · C
#60 · C
#72 · C
#050 · C
#035 · C
#70 · C
#223 · SIR
#202 · IR
#199 · IR
#228 · HR
#198 · IRFrequently asked questions
What will I get for Barboach Obsidian Flames 108/197 if I want to sell quickly?
Half of all sales fell between £0.78 and £1.32, with a median of £0.98. 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 Barboach Obsidian Flames 108/197 unrealistic?
The cheapest genuine sales were around £0.72. Offers well below £0.43 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.