Victini
この価格の計算方法
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0178 (Sprach-Faktor aus 8 Karten) | 18 | 31 日 | €14,29 | 2.38 |
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 | 18 | 31 日 | €14,04 | 146.94 |
| eigene LP-Verkäufe ÷ 0.7538 | 9 | 50 日 | €9,83 | 6.89 |
| eigene PSA9-Verkäufe ÷ 11.147 | 2 | 2 ヶ月 | €11,84 | 0.98 |
実測誤差(時代×言語のバックテスト): ±18 %
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.963 (Sprach-Faktor aus 11 Karten) | 18 | 31 日 | €27,56 | 1.47 |
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 Victini BW Black Star Promos BW32/101?
A PSA 10 currently sells for about €74,02, raw the card sits at €14,92 — 5,0× as much. Mathematically, submitting returns €74,02 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.
Auction or Buy It Now — which gets more for Victini BW Black Star Promos BW32/101?
Across 7 auctions the median was €13,58, across 29 fixed-price sales €11,40. Auctions therefore fetched about 19 % more — worth it mainly for sought-after cards with several bidders.
What will I get for Victini BW Black Star Promos BW32/101 if I want to sell quickly?
Half of all sales fell between €4,98 and €11,40, with a median of €8,11. 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 Victini BW Black Star Promos BW32/101 unrealistic?
The cheapest genuine sales were around €3,29. Offers well below €1,97 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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