Surskit
Market price
€2,18
Price history · RAW
2026-04-12 · €1,00
€2,40 · 2026-07-14
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
| ebay.co.uk | n=3 | €2,03 | +29% |
| ebay.com | n=3 | €1,57 | — |
Price per print
🇬🇧
Normal · EN
n=4
€2,18
この価格の計算方法
ラダー推定 · English
· ~€2,18
gruen
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 2 ヶ月 | €2,18 | 16.33 |
値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,18 · Σ g = 16.33
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
| 2026-07-14 | UNKNOWN | RAW UNKNOWN | Pokemon 15/168 Gehweiher - Sturm am Firmament | €1,00 |
| 2026-07-11 | EN | RAW LP | Surskit - 15/168 - Common - Lightly Played | €1,25 |
| 2026-07-01 | EN | RAW LP | 2018 Lightly Played Pokemon Surskit 15/168 Celestial Storm | €1,74 |
| 2026-06-24 | EN | RAW UNKNOWN | Surskit 15 Celestial Storm Common 168 Pokemon | €1,57 |
| 2026-06-11 | EN | RAW UNKNOWN | Surskit - 15/168 - Common - Pokemon Celestial Storm | €1,15 |
| 2026-06-09 | EN | RAW NM | Pokemon - Surskit 15/168 - Celestial Storm - Common - Near M | €2,03 |
| 2026-06-08 | ES | RAW UNKNOWN | Surskit - 15/168 - Común - Casi Como Nuevo Se abre en una nu | €1,56 |
| 2026-04-12 | EN | RAW NM | TQG 9.5 MINT+ 2018 Pokemon ENG Surskit 15/168 C | €2,40 |
FAQ
Frequently asked questions
What will I get for Surskit 裂空のカリスマ 15/168 if I want to sell quickly?
Half of all sales fell between €1,25 and €1,74, with a median of €1,57. 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 Surskit 裂空のカリスマ 15/168 unrealistic?
The cheapest genuine sales were around €1,15. Offers well below €0,69 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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