Kangaskhan ex
| ebay.fr | n=12 | £16.79 | +229% |
| ebay.nl | n=3 | £9.36 | +84% |
| ebay.co.uk | n=82 | £8.02 | +57% |
| ebay.it | n=21 | £6.80 | +33% |
| ebay.es | n=44 | £6.61 | +30% |
| ebay.de | n=244 | £6.40 | +26% |
| ebay.com | n=426 | £5.10 | — |
How is this value calculated?
Recency-weighted trimmed median of 354 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 359 | 7 d | £4.16 | 2930.61 |
| eigene LP-Verkäufe ÷ 0.9254 | 13 | 13 d | £4.73 | 9.04 |
| eigene PSA9-Verkäufe ÷ 1.9696 · Set -13% nachgeführt | 10 | 3 mo | £6.34 | 1.19 |
| eigene PSA10-Verkäufe ÷ 6.9417 · Set -13% nachgeführt | 15 | 49 d | £10.72 | 0.26 |
| de roh NM × 0.8812 (Sprach-Faktor aus 98 Karten) | 29 | 6 d | £6.78 | 2.61 |
| it roh NM × 0.8226 (Sprach-Faktor aus 40 Karten) | 7 | 26 d | £7.69 | 2.58 |
| fr roh NM × 0.7138 (Sprach-Faktor aus 71 Karten) · Set -13% nachgeführt | 7 | 2 mo | £15.28 | 2.41 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 29 | 6 d | £7.69 | 236.73 |
| fr roh NM × 0.8883 (Sprach-Faktor aus 67 Karten) | 7 | 2 mo | £20.81 | 2.46 |
| en roh NM × 1.1348 (Sprach-Faktor aus 98 Karten) | 359 | 7 d | £4.72 | 1.87 |
| it roh NM × 0.9421 (Sprach-Faktor aus 40 Karten) | 7 | 26 d | £8.80 | 1.22 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set -11% nachgeführt | 7 | 2 mo | £21.71 | 57.14 |
| de roh NM × 1.1258 (Sprach-Faktor aus 67 Karten) | 29 | 6 d | £8.66 | 2.43 |
| it roh NM × 1.0642 (Sprach-Faktor aus 37 Karten) | 7 | 26 d | £9.95 | 1.75 |
| en roh NM × 1.401 (Sprach-Faktor aus 71 Karten) | 359 | 7 d | £5.82 | 1.66 |
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 |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 7 | 26 d | £9.35 | 57.14 |
| fr roh NM × 0.9397 (Sprach-Faktor aus 37 Karten) · Set -13% nachgeführt | 7 | 2 mo | £20.23 | 1.94 |
| en roh NM × 1.2169 (Sprach-Faktor aus 40 Karten) | 359 | 7 d | £5.06 | 1.92 |
| de roh NM × 1.0616 (Sprach-Faktor aus 40 Karten) | 29 | 6 d | £8.16 | 1.45 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
Frequently asked questions
Is it worth grading Kangaskhan ex 151 190/165?
A PSA 10 currently sells for about £81.51, raw the card sits at £4.74 — 17,2× as much. Of 1.997 copies already graded, 42 % received a 10 and 44 % a 9. Mathematically, submitting returns £42.19 on average, before fees and shipping. Rule of thumb: submit when the value at a realistic grade is at least double the raw value — which is the case here. Centering decides it: an off-centre card will not get a 10. The grade distribution comes from the PSA Population Report; people pre-sort before submitting, so your own hit rate may differ.
Auction or Buy It Now — which gets more for Kangaskhan ex 151 190/165?
Across 158 auctions the median was £5.53, across 427 fixed-price sales £6.22. Fixed price therefore fetched about 13 % more — for this card patience with a set price is the better route.
What will I get for Kangaskhan ex 151 190/165 if I want to sell quickly?
Half of all sales fell between £4.69 and £7.57, with a median of £5.80. 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 151 190/165 unrealistic?
The cheapest genuine sales were around £3.73. Offers well below £2.24 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.
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