| ebay.co.uk | n=2 | £1.56 | +111% |
| ebay.es | n=10 | £1.41 | +92% |
| ebay.com | n=4 | £0.74 | — |
How is this value calculated?
Recency-weighted trimmed median of 4 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 | 4 | 3 mo | £0.69 | 32.65 |
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) | 4 | 3 mo | £0.65 | 2.71 |
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) | 4 | 3 mo | £0.77 | 1.23 |
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 | 4 | 3 mo | £0.74 | 1.86 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#065 · U
#064 · C
#242 · SEC
#7 · HR
#52 · U
#76 · C
#26 · R
#91 · C
#42 · C
#8
#68 · C
#66 · C
#63 · CFrequently asked questions
What will I get for Magnemite Obsidian Flames 063/197 if I want to sell quickly?
Half of all sales fell between £0.98 and £1.55, with a median of £1.33. 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 Magnemite Obsidian Flames 063/197 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.