Stantler
Market price
€6,86
Price history · RAW
2026-04-24 · €0,62
€8,95 · 2026-08-08
Price per print
🇬🇧
Normal · EN
n=4
€6,86
この価格の計算方法
ラダー推定 · English
· ~€6,86
gelb
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 45 日 | €6,86 | 16.33 |
値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €6,86 · Σ g = 16.33
実測誤差(時代×言語のバックテスト): ±22 %
ゲートが緑でないため価格としては表示されません。
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 9
| 2026-08-08 | IT | RAW UNKNOWN | Stantler 9/17 POP Serie 7 Pokemon comune quasi nuovo TCG | €6,24 |
| 2026-07-21 | EN | RAW LP | Stantler 9/17 Non Holo POP Series 7 - Pokemon Card - LP | €7,28 |
| 2026-07-11 | EN | RAW NM | Pokemon TCG | Stantler 9/17 | POP Series 7 Uncommon | Near M | €7,30 |
| 2026-06-30 | EN | RAW HP | Stantler 9/17 - HP POP Series 7 - 2008 Uncommon Pokemon TCG | €0,62 |
| 2026-05-31 | JA | PSA 9 | Stantler & Brock Anime Series 2 2000 Pocket Monsters Bandai | €13,05 |
| 2026-05-19 | EN | RAW UNKNOWN | Stantler 9/17 - Pop Series - Pokemon Card | €4,29 |
| 2026-05-12 | EN | RAW UNKNOWN | 2008 Pokemon POP Series 7 Stantler #9/17 | €8,95 |
| 2026-04-26 | EN | RAW NM | Stantler - 9/17 - Pop Series 7 - Promo - Uncommon - NM | €5,11 |
| 2026-04-24 | ES | RAW NM | Stantler - 9/17 - Pokemon Pop Series 7 Non-Holo Card NM Se a | €8,81 |
FAQ
Frequently asked questions
What will I get for Stantler POP Series 7 9/17 if I want to sell quickly?
Half of all sales fell between €5,11 and €7,30, with a median of €7,28. 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 Stantler POP Series 7 9/17 unrealistic?
The cheapest genuine sales were around €4,29. Offers well below €2,57 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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