Pheromosa GX
| ebay.es | n=5 | €11,54 | +37% |
| ebay.com | n=26 | €8,43 | — |
この価格の計算方法
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9714 (Sprach-Faktor aus 9 Karten) | 17 | 44 日 | €11,93 | 0.29 |
実測誤差(時代×言語のバックテスト): ±34 %
ゲートが緑でないため価格としては表示されません。
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 17 | 44 日 | €12,28 | 138.78 |
| eigene LP-Verkäufe ÷ 0.7882 | 3 | 51 日 | €11,29 | 6.0 |
実測誤差(時代×言語のバックテスト): ±16 %
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 17 | 44 日 | €14,60 | 3.86 |
実測誤差(時代×言語のバックテスト): ±9 %
ゲートが緑でないため価格としては表示されません。
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1836 (Sprach-Faktor aus 28 Karten) | 17 | 44 日 | €14,53 | 6.19 |
実測誤差(時代×言語のバックテスト): ±17 %
ゲートが緑でないため価格としては表示されません。
No PSA numbers for this print yet — in any language.
Frequently asked questions
Is it worth grading Pheromosa GX SM Black Star Promos SM66/248?
A PSA 10 currently sells for about €154,71, raw the card sits at €10,97 — 14,1× as much. Mathematically, submitting returns €154,71 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.
What will I get for Pheromosa GX SM Black Star Promos SM66/248 if I want to sell quickly?
Half of all sales fell between €6,11 and €11,54, with a median of €8,53. 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 Pheromosa GX SM Black Star Promos SM66/248 unrealistic?
The cheapest genuine sales were around €4,92. Offers well below €2,95 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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