Jangmo-o
| ebay.de | n=4 | £1.43 | +47% |
| ebay.com | n=13 | £0.97 | — |
How is this value calculated?
Recency-weighted trimmed median of 13 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 | 19 | 13 d | £0.98 | 155.1 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1001 (Sprach-Faktor aus 141 Karten) | 19 | 13 d | £1.08 | 3.47 |
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.6216 (Sprach-Faktor aus 80 Karten) | 19 | 13 d | £1.59 | 5.81 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0748 (Sprach-Faktor aus 45 Karten) | 19 | 13 d | £1.05 | 6.83 |
Measured error for this era×language (backtest): ±169 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#SM40 · 
#75 · 
#161 · 
#52
#98 · 
Frequently asked questions
What will I get for Jangmo-o 30th Celebration 110/128 if I want to sell quickly?
Half of all sales fell between £0.75 and £1.41, 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 Jangmo-o 30th Celebration 110/128 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.