| ebay.fr | n=4 | €2,95 | +228% |
| ebay.it | n=6 | €2,89 | +221% |
| ebay.nl | n=2 | €2,56 | +185% |
| ebay.es | n=27 | €2,04 | +127% |
| ebay.de | n=28 | €1,71 | +89% |
| ebay.co.uk | n=5 | €1,34 | +49% |
| ebay.com | n=34 | €0,90 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 22 | 28 d | €1,32 | 179.59 |
| es roh NM × 0.8597 (Sprach-Faktor aus 43 Karten) | 10 | 2 mo | €1,57 | 14.72 |
| unknown roh NM × 0.8727 (Sprach-Faktor aus 82 Karten) | 12 | 15 d | €1,90 | 8.78 |
| fr roh NM × 0.8488 (Sprach-Faktor aus 50 Karten) | 4 | 30 d | €2,28 | 7.07 |
| it roh NM × 0.9456 (Sprach-Faktor aus 44 Karten) | 5 | 2 mo | €2,75 | 5.64 |
| de roh NM × 1.0879 (Sprach-Faktor aus 89 Karten) | 7 | 2 mo | €1,10 | 3.58 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 7 | 2 mo | €1,01 | 57.14 |
| en roh NM × 0.9192 (Sprach-Faktor aus 89 Karten) | 22 | 28 d | €1,22 | 3.35 |
| es roh NM × 0.8025 (Sprach-Faktor aus 41 Karten) | 10 | 2 mo | €1,47 | 2.71 |
| fr roh NM × 0.9521 (Sprach-Faktor aus 44 Karten) | 4 | 30 d | €2,56 | 2.66 |
| unknown roh NM × 0.89 (Sprach-Faktor aus 70 Karten) | 12 | 15 d | €1,94 | 2.53 |
| it roh NM × 0.8232 (Sprach-Faktor aus 42 Karten) | 5 | 2 mo | €2,39 | 1.29 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 30 d | €2,68 | 32.65 |
| en roh NM × 1.1782 (Sprach-Faktor aus 50 Karten) | 22 | 28 d | €1,56 | 9.6 |
| es roh NM × 0.95 (Sprach-Faktor aus 23 Karten) | 10 | 2 mo | €1,74 | 6.57 |
| it roh NM × 1.1559 (Sprach-Faktor aus 29 Karten) | 5 | 2 mo | €3,36 | 5.64 |
| unknown roh NM × 1.0134 (Sprach-Faktor aus 45 Karten) | 12 | 15 d | €2,21 | 3.98 |
| de roh NM × 1.0503 (Sprach-Faktor aus 44 Karten) | 7 | 2 mo | €1,06 | 2.51 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +25% nachgeführt | 5 | 2 mo | €3,37 | 40.82 |
| en roh NM × 1.0579 (Sprach-Faktor aus 44 Karten) | 22 | 28 d | €1,40 | 8.59 |
| unknown roh NM × 1.0294 (Sprach-Faktor aus 40 Karten) | 12 | 15 d | €2,24 | 5.99 |
| es roh NM × 0.8886 (Sprach-Faktor aus 23 Karten) · Set +25% nachgeführt | 10 | 2 mo | €1,89 | 4.74 |
| fr roh NM × 0.8652 (Sprach-Faktor aus 29 Karten) | 4 | 30 d | €2,32 | 3.64 |
| de roh NM × 1.2147 (Sprach-Faktor aus 42 Karten) · Set +25% nachgeführt | 7 | 2 mo | €1,43 | 1.63 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#GG37 · UR
#100 · IR
#16 · R
#22 · U
#023 · VSTAR
#23 · R
#022 · V
#17 · U
#38 · U
#20 · U
#19 · R
#27 · U
#24 · R
#015 · UFrequently asked questions
Auction or Buy It Now — which gets more for Simisear V Brilliant Stars 027/172?
Across 25 auctions the median was €0,88, across 40 fixed-price sales €1,77. Fixed price therefore fetched about 101 % more — for this card patience with a set price is the better route.
What will I get for Simisear V Brilliant Stars 027/172 if I want to sell quickly?
Half of all sales fell between €1,00 and €2,21, with a median of €1,50. 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 Simisear V Brilliant Stars 027/172 unrealistic?
The cheapest genuine sales were around €0,85. Offers well below €0,51 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
Is the English or the German Simisear V Brilliant Stars 027/172 worth more?
From real sales: German €1,50 (11), English €1,18 (38). German fetches about 27 % more.
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.