| ebay.co.uk | n=7 | €5,14 | +85% |
| ebay.com | n=30 | €2,77 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 3 mo | €9,32 | 32.65 |
| eigene LP-Verkäufe ÷ 0.6282 | 11 | 47 d | €4,59 | 2.83 |
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) | 4 | 3 mo | €11,22 | 2.14 |
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) | 4 | 3 mo | €19,48 | 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) | 4 | 3 mo | €21,62 | 1.92 |
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.
#SM229
#249 · SEC
#210 · UR
#087 · IR
#1 · UR
#RC1 · C
#BW01 · C
#BW06 · C
#11 · C
#6 · C
#001 · C
#1 · C
#5 · CFrequently asked questions
What will I get for Snivy McDonald's Collection 2011 1/12 if I want to sell quickly?
Half of all sales fell between €1,75 and €4,45, with a median of €2,78. 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 Snivy McDonald's Collection 2011 1/12 unrealistic?
The cheapest genuine sales were around €1,16. Offers well below €0,70 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.