Alolan Diglett
| ebay.de | n=24 | £2.95 | +12% |
| ebay.com | n=14 | £2.64 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 7 | 58 d | £1.56 | 57.14 |
| eigene LP-Verkäufe ÷ 0.5092 | 8 | 50 d | £10.99 | 0.82 |
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 × 1.203 (Sprach-Faktor aus 29 Karten) | 7 | 58 d | £1.88 | 2.2 |
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 × 2.0889 (Sprach-Faktor aus 8 Karten) | 7 | 58 d | £3.26 | 0.35 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten) | 7 | 58 d | £3.62 | 1.97 |
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.
#11
#50 · C
#106 · C
#50 · C
#47 · C
#52 · C
#67 · C
#61 · C
#58 · C
#122 · C
#121 · C
#38 · C
#85 · C
#61 · CFrequently asked questions
What will I get for Alolan Diglett McDonald's Collection 2017 9/12 if I want to sell quickly?
Half of all sales fell between £1.92 and £3.89, with a median of £2.90. 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 Alolan Diglett McDonald's Collection 2017 9/12 unrealistic?
The cheapest genuine sales were around £1.39. Offers well below £0.83 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.