Ting-Lu
| ebay.de | n=18 | $1.67 | +37% |
| ebay.com | n=26 | $1.22 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 19 | 3 mo | $1.35 | 155.1 |
| de roh NM × 0.996 (Sprach-Faktor aus 87 Karten) | 4 | 38 d | $2.09 | 3.93 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 38 d | $2.09 | 32.65 |
| en roh NM × 1.004 (Sprach-Faktor aus 87 Karten) | 19 | 3 mo | $1.36 | 4.38 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| de roh NM × 1.4015 (Sprach-Faktor aus 27 Karten) | 4 | 38 d | $2.93 | 1.69 |
| en roh NM × 1.1379 (Sprach-Faktor aus 27 Karten) | 19 | 3 mo | $1.54 | 1.04 |
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 |
|---|---|---|---|---|
| en roh NM × 1.0775 (Sprach-Faktor aus 33 Karten) | 19 | 3 mo | $1.45 | 3.44 |
| de roh NM × 1.1786 (Sprach-Faktor aus 31 Karten) | 4 | 38 d | $2.47 | 2.62 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
Frequently asked questions
What will I get for Ting-Lu Twilight Masquerade 110/167 if I want to sell quickly?
Half of all sales fell between $1.10 and $1.95, with a median of $1.52. 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 Twilight Masquerade 110/167 unrealistic?
The cheapest genuine sales were around $1.00. Offers well below $0.60 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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