| ebay.fr | n=3 | €3,14 | +238% |
| ebay.de | n=2 | €2,88 | +210% |
| ebay.es | n=11 | €2,61 | +181% |
| ebay.com | n=2 | €0,93 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 7 | 47 d | €2,54 | 57.14 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9495 (Sprach-Faktor aus 149 Karten) | 7 | 47 d | €2,41 | 3.28 |
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 × 1.0516 (Sprach-Faktor aus 5 Karten) | 7 | 47 d | €2,67 | 4.44 |
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 × 1.3884 (Sprach-Faktor aus 8 Karten) | 7 | 47 d | €3,53 | 2.08 |
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.
#221 · UR
#122 · SEC
#99 · UR
#SL2 · R
#105 · LV.X
#GG68 · SEC
#101 · LEG
#102 · LEG
#258 · SEC
#138 · SEC
#177 · UR
#220 · UR
#DP17 · C
#164 · SECFrequently asked questions
What will I get for Dialga Lost Thunder 127/214 if I want to sell quickly?
Half of all sales fell between €2,08 and €3,13, with a median of €2,40. 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 Dialga Lost Thunder 127/214 unrealistic?
The cheapest genuine sales were around €1,79. Offers well below €1,07 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.