| ebay.de | n=73 | €16,74 | +9% |
| ebay.com | n=69 | €15,35 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 21 | 26 d | €36,89 | 171.43 |
| eigene LP-Verkäufe ÷ 0.568 | 21 | 33 d | €23,94 | 1.53 |
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) | 21 | 26 d | €44,38 | 2.26 |
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) | 21 | 26 d | €77,06 | 0.36 |
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) | 21 | 26 d | €85,53 | 2.01 |
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.
#104 · HR
#276 · SIR
#SWSH074
#277 · SIR
#7
#238 · SIR
#SM168
#XY124
#93 · HR
#12 · C
#112 · HR
#114 · HR
#241 · SECFrequently asked questions
What will I get for Pikachu McDonald's Collection 2014 5/12 if I want to sell quickly?
Half of all sales fell between €9,30 and €24,18, with a median of €15,70. 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 Pikachu McDonald's Collection 2014 5/12 unrealistic?
The cheapest genuine sales were around €5,28. Offers well below €3,17 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.