Jellicent ex
| ebay.fr | n=8 | £2.78 | +98% |
| ebay.de | n=46 | £2.13 | +51% |
| ebay.com | n=133 | £1.49 | +6% |
| ebay.es | n=9 | £1.48 | +5% |
| ebay.co.uk | n=38 | £1.41 | — |
How is this value calculated?
Recency-weighted trimmed median of 130 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 · Set +11% nachgeführt | 131 | 3 mo | £1.68 | 1069.39 |
| eigene PSA9-Verkäufe ÷ 1.3693 · Set +11% nachgeführt | 4 | 4 mo | £8.13 | 2.46 |
| eigene PSA10-Verkäufe ÷ 13.1438 · Set +11% nachgeführt | 15 | 4 mo | £1.80 | 0.22 |
| de roh NM × 1.0351 (Sprach-Faktor aus 97 Karten) · Set +11% nachgeführt | 12 | 2 mo | £2.00 | 6.16 |
| fr roh NM × 0.9504 (Sprach-Faktor aus 57 Karten) · Set +11% nachgeführt | 7 | 2 mo | £3.09 | 3.59 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +23% nachgeführt | 12 | 2 mo | £2.07 | 97.96 |
| en roh NM × 0.9661 (Sprach-Faktor aus 97 Karten) · Set +23% nachgeführt | 131 | 3 mo | £1.74 | 6.74 |
| fr roh NM × 0.8487 (Sprach-Faktor aus 57 Karten) · Set +23% nachgeführt | 7 | 2 mo | £2.95 | 2.78 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +14% nachgeführt | 7 | 2 mo | £3.30 | 57.14 |
| de roh NM × 1.1783 (Sprach-Faktor aus 57 Karten) · Set +14% nachgeführt | 12 | 2 mo | £2.31 | 3.34 |
| en roh NM × 1.0522 (Sprach-Faktor aus 57 Karten) · Set +14% nachgeführt | 131 | 3 mo | £1.80 | 2.8 |
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 · Set +14% nachgeführt | 2 | 5 mo | £4.16 | 16.33 |
| en roh NM × 0.8936 (Sprach-Faktor aus 35 Karten) · Set +14% nachgeführt | 131 | 3 mo | £1.53 | 3.48 |
| de roh NM × 0.9297 (Sprach-Faktor aus 35 Karten) · Set +14% nachgeführt | 12 | 2 mo | £1.82 | 2.91 |
| fr roh NM × 0.6781 (Sprach-Faktor aus 25 Karten) · Set +14% nachgeführt | 7 | 2 mo | £2.24 | 1.83 |
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 Jellicent ex White Flare 160/86?
A PSA 10 currently sells for about £22.14, raw the card sits at £1.57 — 14,1× as much. Of 641 copies already graded, 64 % received a 10 and 28 % a 9. Mathematically, submitting returns £17.97 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 Jellicent ex White Flare 160/86?
Across 57 auctions the median was £1.50, across 105 fixed-price sales £1.55. There is no meaningful difference — what matters here is how fast you want to sell.
What will I get for Jellicent ex White Flare 160/86 if I want to sell quickly?
Half of all sales fell between £1.18 and £1.97, with a median of £1.55. 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 Jellicent ex White Flare 160/86 unrealistic?
The cheapest genuine sales were around £0.85. Offers well below £0.51 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
Is the English or the German Jellicent ex White Flare 160/86 worth more?
From real sales: German £1.82 (21), English £1.57 (200). German fetches about 16 % more.
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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