| ebay.it | n=7 | €3,01 | +56% |
| ebay.de | n=23 | €2,93 | +52% |
| ebay.co.uk | n=9 | €2,69 | +39% |
| ebay.es | n=47 | €2,61 | +35% |
| ebay.com | n=58 | €1,93 | — |
How is this value calculated?
Recency-weighted trimmed median of 42 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 42 | 35 d | €2,39 | 342.86 |
| es roh NM × 0.8954 (Sprach-Faktor aus 28 Karten) | 25 | 2 mo | €2,80 | 24.62 |
| unknown roh NM × 0.8717 (Sprach-Faktor aus 40 Karten) | 12 | 16 d | €2,49 | 12.19 |
| it roh NM × 0.8447 (Sprach-Faktor aus 17 Karten) | 4 | 3 mo | €2,45 | 9.41 |
| de roh NM × 0.9622 (Sprach-Faktor aus 38 Karten) | 4 | 2 mo | €2,95 | 5.45 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +12% nachgeführt | 4 | 2 mo | €3,29 | 32.65 |
| unknown roh NM × 0.976 (Sprach-Faktor aus 22 Karten) | 12 | 16 d | €2,79 | 10.28 |
| en roh NM × 1.0393 (Sprach-Faktor aus 38 Karten) | 42 | 35 d | €2,48 | 7.0 |
| it roh NM × 0.8302 (Sprach-Faktor aus 13 Karten) · Set +12% nachgeführt | 4 | 3 mo | €2,59 | 5.71 |
| es roh NM × 0.8415 (Sprach-Faktor aus 17 Karten) · Set +12% nachgeführt | 25 | 2 mo | €2,83 | 5.7 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1135 (Sprach-Faktor aus 15 Karten) | 42 | 35 d | €2,66 | 23.09 |
| es roh NM × 1.0354 (Sprach-Faktor aus 8 Karten) | 25 | 2 mo | €3,24 | 23.09 |
| unknown roh NM × 1.0368 (Sprach-Faktor aus 10 Karten) | 12 | 16 d | €2,96 | 14.24 |
| it roh NM × 1.0682 (Sprach-Faktor aus 8 Karten) | 4 | 3 mo | €3,10 | 6.5 |
| de roh NM × 1.0544 (Sprach-Faktor aus 14 Karten) | 4 | 2 mo | €3,23 | 2.36 |
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 | 4 | 3 mo | €2,90 | 32.65 |
| en roh NM × 1.1839 (Sprach-Faktor aus 17 Karten) | 42 | 35 d | €2,82 | 16.79 |
| es roh NM × 0.8474 (Sprach-Faktor aus 12 Karten) | 25 | 2 mo | €2,65 | 13.03 |
| unknown roh NM × 0.9527 (Sprach-Faktor aus 16 Karten) | 12 | 16 d | €2,72 | 9.03 |
| de roh NM × 1.2046 (Sprach-Faktor aus 13 Karten) | 4 | 2 mo | €3,69 | 7.03 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#220 · UR
#19 · R
#SM56 · R
#20 · R
#SM26 · R
#046 · RR
#016 · RAD
#018 · U
#21 · V
#15 · R
#271 · SEC
#270 · SEC
#269 · SEC
#251 · URFrequently asked questions
Is it worth grading Tsareena V Fusion Strike 246/264?
A PSA 10 currently sells for about €88,60, raw the card sits at €2,56 — 34,6× as much. Mathematically, submitting returns €88,60 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.
Auction or Buy It Now — which gets more for Tsareena V Fusion Strike 246/264?
Across 19 auctions the median was €1,35, across 83 fixed-price sales €2,62. Fixed price therefore fetched about 94 % more — for this card patience with a set price is the better route.
What will I get for Tsareena V Fusion Strike 246/264 if I want to sell quickly?
Half of all sales fell between €1,83 and €3,13, with a median of €2,57. 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 Tsareena V Fusion Strike 246/264 unrealistic?
The cheapest genuine sales were around €1,35. Offers well below €0,81 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.