Aipom

Mysterious Treasures · 70/123 ·Common

イラスト: Kagemaru Himeno →

Market price

€0,93

Price history · RAW

2026-04-24 · €0,54 €1,73 · 2026-07-01

Price per print

🇬🇧 Normal · EN n=4 €0,81

🇩🇪 Normal · DE 1 sales · too few Last sale €1,00

この価格の計算方法

ラダー推定 · English · ~€4,56 gruen reverse_holo

根拠	件数	経過	値 vᵢ	重み gᵢ
eigene rohe NM-Verkäufe	3	52 日	€4,51	24.49
eigene LP-Verkäufe ÷ 0.7681	4	54 日	€5,70	1.43

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €4,56 · Σ g = 25.92

実測誤差（時代×言語のバックテスト）: ±20 %

PSA Population EN Σ 27

PSA 10

9 33%

PSA 9

5 19%

PSA 8

8 30%

PSA ≤7

5 19%

PSA + CGC · as of 2026-08-13

Recent sales · 8

2026-07-01	DE	RAW UNKNOWN	Pokémon Karte Griffel 70/123 Geheimnisvolle Schätze Set • Po	€1,00
2026-06-21	EN	RAW LP	2007 Pokemon Mysterious Treasures Aipom #70 Extremely LP	€0,96
2026-06-19	EN	RAW NM	Aipom Mysterious Treasures 70/123 2007 NM	€1,73
2026-06-13	EN	RAW UNKNOWN	Aipom 70/123 Common - Pokemon Mysterious Treasures 2007 HP	€0,86
2026-06-08	EN	RAW UNKNOWN	Pokémon Cards TGC Aipom 70/123 Diamond & Pearl Mysterious Tr	€0,54
2026-05-29	EN	RAW LP	Aipom 70/123 Common Mysterious Treasures Pokemon Lightly Pla	€1,71
2026-05-02	EN	RAW MP	Aipom 70/123 Common Mysterious Treasures Pokemon Moderately	€1,70
2026-04-24	EN	RAW UNKNOWN	Pokemon Mysterious Treasures- Aipom Card 70/123	€1,28

Frequently asked questions

What will I get for Aipom Mysterious Treasures 70/123 if I want to sell quickly?

Half of all sales fell between €0,96 and €1,70, with a median of €1,28. 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 Aipom Mysterious Treasures 70/123 unrealistic?

The cheapest genuine sales were around €0,86. Offers well below €0,52 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.