| ebay.es | n=3 | €1,72 | +87% |
| ebay.de | n=3 | €1,66 | +80% |
| ebay.com | n=7 | €0,92 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +16% nachgeführt | 3 | 45 d | €1,38 | 24.49 |
| eigene LP-Verkäufe ÷ 0.813 | 5 | 28 d | €2,22 | 2.79 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.4515 (Sprach-Faktor aus 33 Karten) | 3 | 45 d | €1,82 | 2.25 |
Measured error for this era×language (backtest): ±43 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2403 (Sprach-Faktor aus 19 Karten) | 3 | 45 d | €1,55 | 2.17 |
Measured error for this era×language (backtest): ±12 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0872 (Sprach-Faktor aus 35 Karten) | 3 | 45 d | €1,36 | 9.05 |
Measured error for this era×language (backtest): ±14 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#62 · U
#146 · UR
#142 · UR
#141 · UR
#144 · UR
#90 · R
#143 · UR
#30 · UR
#145 · UR
#42 · C
#2 · UR
#79 · UR
#97 · UR
#41 · RFrequently asked questions
What will I get for Evosoda XY 116/146 if I want to sell quickly?
Half of all sales fell between €0,92 and €1,72, with a median of €1,56. 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 Evosoda XY 116/146 unrealistic?
The cheapest genuine sales were around €0,81. Offers well below €0,49 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.