Rowlet
| ebay.co.uk | n=18 | $3.68 | +25% |
| ebay.com | n=11 | $3.23 | +10% |
| ebay.de | n=9 | $2.94 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 2 mo | $14.51 | 65.31 |
| eigene LP-Verkäufe ÷ 0.5092 | 9 | 2 mo | $5.95 | 0.82 |
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) | 8 | 2 mo | $17.45 | 2.21 |
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) | 8 | 2 mo | $30.31 | 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) | 8 | 2 mo | $33.64 | 1.97 |
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.
#215 · UR
#237 · SEC
#214 · UR
#1 · UR
#090 · IR
#SV001 · SR
#SM22 · R
#SM153 · R
#SM01 · R
#17 · CFrequently asked questions
What will I get for Rowlet McDonald's Collection 2017 1/12 if I want to sell quickly?
Half of all sales fell between $2.45 and $5.79, with a median of $3.20. 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 Rowlet McDonald's Collection 2017 1/12 unrealistic?
The cheapest genuine sales were around $2.31. Offers well below $1.39 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.