| ebay.de | n=26 | $2.33 | +32% |
| ebay.com | n=49 | $1.76 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 22 | 2 mo | $1.63 | 179.59 |
| eigene LP-Verkäufe ÷ 0.6613 | 10 | 2 mo | $1.64 | 4.96 |
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) | 22 | 2 mo | $1.95 | 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) | 22 | 2 mo | $3.39 | 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) | 22 | 2 mo | $3.76 | 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.
#11 · HR
#32 · C
#21 · R
#8 · RH
#157 · R
#30 · R
#109 · C
#48 · U
#TG10 · RH
#39 · U
#66 · U
#128 · R
#123 · R
#209 · CFrequently asked questions
What will I get for Smeargle McDonald's Collection 2022 15/15 if I want to sell quickly?
Half of all sales fell between $1.45 and $2.32, with a median of $1.93. 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 Smeargle McDonald's Collection 2022 15/15 unrealistic?
The cheapest genuine sales were around $0.98. Offers well below $0.59 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.