Ting-Lu ex
| ebay.fr | n=2 | €2,35 | +172% |
| ebay.es | n=28 | €2,08 | +140% |
| ebay.it | n=9 | €1,59 | +84% |
| ebay.de | n=22 | €1,00 | +16% |
| ebay.com | n=19 | €0,93 | +8% |
| ebay.co.uk | n=4 | €0,86 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 11 | 30 d | €1,29 | 89.8 |
| es roh NM × 0.827 (Sprach-Faktor aus 120 Karten) · Set +11% nachgeführt | 6 | 3 mo | €2,08 | 18.68 |
| unknown roh NM × 0.8414 (Sprach-Faktor aus 156 Karten) | 9 | 33 d | €1,00 | 14.14 |
| it roh NM × 0.9339 (Sprach-Faktor aus 67 Karten) · Set +11% nachgeführt | 3 | 49 d | €1,88 | 7.5 |
| de roh NM × 1.2786 (Sprach-Faktor aus 106 Karten) · Set +11% nachgeführt | 6 | 57 d | €1,37 | 3.05 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +12% nachgeführt | 6 | 57 d | €1,08 | 48.98 |
| it roh NM × 0.7813 (Sprach-Faktor aus 64 Karten) · Set +12% nachgeführt | 3 | 49 d | €1,59 | 3.46 |
| unknown roh NM × 0.6791 (Sprach-Faktor aus 105 Karten) | 9 | 33 d | €0,81 | 2.58 |
| en roh NM × 0.7821 (Sprach-Faktor aus 106 Karten) | 11 | 30 d | €1,01 | 2.44 |
| es roh NM × 0.6303 (Sprach-Faktor aus 98 Karten) · Set +12% nachgeführt | 6 | 3 mo | €1,60 | 2.35 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set -12% nachgeführt | 2 | 45 d | €2,22 | 16.33 |
| unknown roh NM × 0.8761 (Sprach-Faktor aus 53 Karten) | 9 | 33 d | €1,04 | 4.42 |
| it roh NM × 0.9491 (Sprach-Faktor aus 39 Karten) · Set -12% nachgeführt | 3 | 49 d | €1,65 | 4.22 |
| en roh NM × 0.9888 (Sprach-Faktor aus 53 Karten) | 11 | 30 d | €1,28 | 4.08 |
| es roh NM × 0.839 (Sprach-Faktor aus 50 Karten) · Set -12% nachgeführt | 6 | 3 mo | €1,82 | 3.91 |
| de roh NM × 1.2948 (Sprach-Faktor aus 48 Karten) · Set -12% nachgeführt | 6 | 57 d | €1,20 | 2.35 |
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set +13% nachgeführt | 3 | 49 d | €2,04 | 24.49 |
| en roh NM × 1.0708 (Sprach-Faktor aus 67 Karten) | 11 | 30 d | €1,38 | 10.37 |
| unknown roh NM × 0.9834 (Sprach-Faktor aus 67 Karten) | 9 | 33 d | €1,17 | 8.57 |
| es roh NM × 0.8974 (Sprach-Faktor aus 63 Karten) · Set +13% nachgeführt | 6 | 3 mo | €2,29 | 6.18 |
| de roh NM × 1.28 (Sprach-Faktor aus 64 Karten) · Set +13% nachgeführt | 6 | 57 d | €1,39 | 3.28 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
Frequently asked questions
Is it worth grading Ting-Lu ex Paldea Evolved 127/193?
A PSA 10 currently sells for about €25,93, raw the card sits at €1,29 — 20,1× as much. Mathematically, submitting returns €25,93 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 Ting-Lu ex Paldea Evolved 127/193?
Across 21 auctions the median was €1,00, across 31 fixed-price sales €2,07. Fixed price therefore fetched about 107 % more — for this card patience with a set price is the better route.
What will I get for Ting-Lu ex Paldea Evolved 127/193 if I want to sell quickly?
Half of all sales fell between €1,00 and €2,08, with a median of €1,45. 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 Ting-Lu ex Paldea Evolved 127/193 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.
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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