| ebay.de | n=2 | €3,30 | +51% |
| ebay.es | n=4 | €2,38 | +9% |
| ebay.com | n=31 | €2,18 | — |
この価格の計算方法
20 件のNM売買の recency 加重トリム中央値（RAW）。
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.5729 (Sprach-Faktor aus 18 Karten) | 22 | 36 日 | €3,29 | 3.76 |
実測誤差（時代×言語のバックテスト）: ±22 %
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 22 | 36 日 | €2,09 | 179.59 |
実測誤差（時代×言語のバックテスト）: ±17 %
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten) | 22 | 36 日 | €2,70 | 4.29 |
実測誤差（時代×言語のバックテスト）: ±20 %
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 |
|---|---|---|---|---|
| en roh NM × 1.0877 (Sprach-Faktor aus 28 Karten) | 22 | 36 日 | €2,27 | 19.8 |
実測誤差（時代×言語のバックテスト）: ±18 %
No PSA numbers for this print yet — in any language.
#101 · HR
#H06 · HR
#2 · HR
#183 · UR
#106 · PRIME
#TG22 · V
#182 · UR
#6 · R
#201 · UR
#5 · RH
#XY56
#81 · R
#102 · RFrequently asked questions
Is it worth grading Cara Liss Shining Fates 67/72?
A PSA 10 currently sells for about €34,33, raw the card sits at €2,08 — 16,5× as much. Mathematically, submitting returns €34,33 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.
What will I get for Cara Liss Shining Fates 67/72 if I want to sell quickly?
Half of all sales fell between €1,84 and €2,79, with a median of €2,32. 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 Cara Liss Shining Fates 67/72 unrealistic?
The cheapest genuine sales were around €1,53. Offers well below €0,92 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.