| ebay.co.uk | n=5 | £1.67 | +113% |
| ebay.com | n=9 | £0.78 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 5 | 3 mo | £0.78 | 40.82 |
| eigene LP-Verkäufe ÷ 0.8853 | 3 | 3 mo | £1.20 | 3.77 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.3972 (Sprach-Faktor aus 18 Karten) | 5 | 3 mo | £1.10 | 2.93 |
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.3059 (Sprach-Faktor aus 8 Karten) | 5 | 3 mo | £1.02 | 3.68 |
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1177 (Sprach-Faktor aus 21 Karten) | 5 | 3 mo | £0.88 | 7.39 |
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#150 · SEC
#138 · UR
#15 · UR
#085 · IR
#15 · C
#003 · C
#013 · C
#14 · C
#154 · SEC
#142 · UR
#152 · SEC
#147 · UR
#140 · UR
#161 · SECFrequently asked questions
What will I get for Fomantis Sun & Moon 14/149 if I want to sell quickly?
Half of all sales fell between £0.73 and £1.48, with a median of £0.78. 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 Fomantis Sun & Moon 14/149 unrealistic?
The cheapest genuine sales were around £0.60. Offers well below £0.36 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.