セットを見る
Market price
€6,32
Price history · RAW
2025-12-12 · €5,41 €13,05 · 2026-07-21
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.de n=2 €12,03 +70%
ebay.es n=3 €10,44 +48%
ebay.com n=2 €7,08
この価格の計算方法
ラダー推定 · English · ~€6,32 gruen
根拠件数経過値 vᵢ重み gᵢ
eigene rohe NM-Verkäufe2 39 日 €5,6716.33
eigene LP-Verkäufe ÷ 0.7749 · Set +13% nachgeführt9 55 日 €9,024.95
値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €6,32 · Σ g = 21.28

実測誤差(時代×言語のバックテスト): ±16 %

PSA Population

No PSA numbers for this print yet — in any language.

Recent sales · 8
2026-07-21 UNKNOWN RAW NM Pokemon Unown [Q] 59/105 - 1st Edition Neo Destiny Uncommon €12,55
2026-07-20 UNKNOWN RAW UNKNOWN Pokemon Card - Unown [Q] Neo Destiny 59/105 1st Edition Unco €11,50
2026-07-13 EN RAW LP Pokemon Card - Unown [Q] Neo Destiny 59/105 1st Edition Unco €8,74
2026-06-09 UNKNOWN RAW UNKNOWN Pokemon Card - Unown [Q] Neo Destiny 59/105 1st Edition Unco €11,49
2026-05-29 ES RAW UNKNOWN Unown [Q] 59/105 Poco Común Neo Destino Pokemon 1ª Edición L €10,44
2026-05-08 ES RAW LP Unown [Q] 59/105 Neo Destiny Regular 1st Edition Lp Se abre €10,44
2026-05-08 ES RAW UNKNOWN Neo: Destiny Unown [Q] - 59/105 - Poco común - 1ª edición x1 €15,67
2025-12-12 EN RAW HP Unown [Q] - 59/105 - Uncommon - 1st Edition HP, English Poke €5,41
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FAQ

Frequently asked questions

What will I get for Unown [Q] 闇、そして光へ... 59/105 if I want to sell quickly?

Half of all sales fell between €10,44 and €11,50, with a median of €11,49. 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 Unown [Q] 闇、そして光へ... 59/105 unrealistic?

The cheapest genuine sales were around €8,74. Offers well below €5,24 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.