Kangaskhan ex
| ebay.co.uk | n=9 | $15.43 | +117% |
| ebay.it | n=4 | $12.29 | +73% |
| ebay.de | n=4 | $9.26 | +30% |
| ebay.com | n=8 | $7.11 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 10 | 2 mo | $12.80 | 81.63 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 3 mo | $11.21 | 16.33 |
| en roh NM × 0.9351 (Sprach-Faktor aus 131 Karten) | 10 | 2 mo | $11.97 | 2.09 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.219 (Sprach-Faktor aus 55 Karten) | 10 | 2 mo | $15.60 | 1.47 |
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.985 (Sprach-Faktor aus 24 Karten) · Set +11% nachgeführt | 10 | 2 mo | $13.48 | 3.17 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#182 · SIR
#6 · HR
#109 · SEC
#SWSH038
#103 · UR
#79 · UR
#204 · IR
#5 · HR
#88 · C
#190 · UR
#164 · UR
#21 · R
#36 · U
#26 · RFrequently asked questions
What will I get for Kangaskhan ex SVP Black Star Promos 055/225 if I want to sell quickly?
Half of all sales fell between $8.42 and $15.43, with a median of $11.39. 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 Kangaskhan ex SVP Black Star Promos 055/225 unrealistic?
The cheapest genuine sales were around $2.87. Offers well below $1.72 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.