Flaaffy
| ebay.de | n=2 | $2.21 | +47% |
| ebay.com | n=19 | $1.50 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 2 mo | $1.95 | 65.31 |
| eigene LP-Verkäufe ÷ 0.6661 | 5 | 2 mo | $1.35 | 5.54 |
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 | $2.35 | 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 | $4.07 | 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 | $4.52 | 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.
#7 · U
#SWSH122
#280 · SEC
#30 · U
#47 · U
#33 · U
#77 · U
#TG03 · RH
#34 · U
#27 · U
#34 · U
#48 · U
#56 · C
#28 · UFrequently asked questions
What will I get for Flaaffy McDonald's Collection 2022 9/15 if I want to sell quickly?
Half of all sales fell between $1.32 and $1.93, with a median of $1.50. 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 Flaaffy McDonald's Collection 2022 9/15 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.