Cutiefly
| ebay.it | n=7 | £1.62 | +108% |
| ebay.co.uk | n=7 | £1.23 | +58% |
| ebay.de | n=3 | £1.21 | +54% |
| ebay.com | n=7 | £0.78 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 2 mo | £1.45 | 24.49 |
| eigene LP-Verkäufe ÷ 0.6155 | 4 | 2 mo | £1.11 | 4.04 |
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 | 2 mo | £1.75 | 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 | 2 mo | £3.04 | 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 | 2 mo | £3.37 | 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.
#172 · 
#145 · 
#066 · 
#92 · 
#95 · 
#78 · 
Frequently asked questions
What will I get for Cutiefly McDonald's Collection 2022 11/15 if I want to sell quickly?
Half of all sales fell between £1.11 and £1.62, with a median of £1.23. 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 Cutiefly McDonald's Collection 2022 11/15 unrealistic?
The cheapest genuine sales were around £0.68. Offers well below £0.41 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.