| ebay.de | n=8 | €1,42 | +27% |
| ebay.co.uk | n=4 | €1,37 | +22% |
| ebay.com | n=15 | €1,12 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 31 d | €1,17 | 65.31 |
| unknown roh NM × 0.7873 (Sprach-Faktor aus 43 Karten) | 4 | 20 d | €1,22 | 9.08 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9836 (Sprach-Faktor aus 6 Karten) | 8 | 31 d | €1,15 | 13.54 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2062 (Sprach-Faktor aus 5 Karten) | 8 | 31 d | €1,41 | 62.13 |
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 |
|---|---|---|---|---|
| unknown roh NM × 1.1887 (Sprach-Faktor aus 6 Karten) | 4 | 20 d | €1,84 | 20.93 |
| en roh NM × 1.4804 (Sprach-Faktor aus 8 Karten) | 8 | 31 d | €1,73 | 2.25 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#168 · U
#74 · C
#SV078 · SR
#96 · C
#117 · C
#79 · C
#85 · C
#111 · C
#159 · C
#35 · C
#130 · C
#081 · CFrequently asked questions
What will I get for Zigzagoon Obsidian Flames 167/197 if I want to sell quickly?
Half of all sales fell between €1,12 and €1,66, with a median of €1,36. 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 Zigzagoon Obsidian Flames 167/197 unrealistic?
The cheapest genuine sales were around €0,87. Offers well below €0,52 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.