Zigzagoon
| ebay.com | n=20 | $5.38 | +6% |
| ebay.de | n=14 | $5.07 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 3 mo | $11.31 | 24.49 |
| eigene LP-Verkäufe ÷ 0.9472 | 12 | 53 d | $13.34 | 0.73 |
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) | 3 | 3 mo | $13.62 | 2.09 |
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) | 3 | 3 mo | $23.65 | 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) | 3 | 3 mo | $26.24 | 1.88 |
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.
#74 · C
#SV078 · SR
#96 · C
#117 · C
#79 · C
#85 · C
#111 · C
#159 · C
#35 · C
#130 · C
#167 · C
#081 · CFrequently asked questions
What will I get for Zigzagoon McDonald's Collection 2015 11/12 if I want to sell quickly?
Half of all sales fell between $3.92 and $9.84, with a median of $5.26. 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 Zigzagoon McDonald's Collection 2015 11/12 unrealistic?
The cheapest genuine sales were around $2.90. Offers well below $1.74 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.