Foongus
How is this value calculated?
Recency-weighted trimmed median of 7 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 | 8 | 3 mo | £1.15 | 65.31 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8698 (Sprach-Faktor aus 93 Karten) | 8 | 3 mo | £1.00 | 4.48 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0641 (Sprach-Faktor aus 68 Karten) | 8 | 3 mo | £1.22 | 3.95 |
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 × 1.1816 (Sprach-Faktor aus 68 Karten) · Set +15% nachgeführt | 8 | 3 mo | £1.49 | 4.95 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#096 · IR
#011 · U
#004 · C
#015 · C
#038 · C
#047 · C
#077 · C
#051 · C
#019 · C
#030 · C
#080 · C
#008 · C
#062 · C
#029 · C
#074 · C
#002 · C
#8 · 
#12 · 
#12 · 
#9 · 
#17 · 
#13 · 
#009 · 
#010 · 
#011 · Frequently asked questions
What will I get for Foongus Black Bolt 010/86 if I want to sell quickly?
Half of all sales fell between £0.78 and £1.17, with a median of £0.99. 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 Foongus Black Bolt 010/86 unrealistic?
The cheapest genuine sales were around £0.69. Offers well below £0.42 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 Last Sold determine the market value?
Last Sold 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.