| ebay.de | n=2 | £2.81 | +51% |
| ebay.es | n=4 | £2.02 | +9% |
| ebay.com | n=31 | £1.85 | — |
How is this value calculated?
Recency-weighted trimmed median of 22 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 | 22 | 2 mo | £1.73 | 179.59 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2625 (Sprach-Faktor aus 31 Karten) | 22 | 2 mo | £2.18 | 1.28 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.6582 (Sprach-Faktor aus 6 Karten) | 22 | 2 mo | £2.86 | 0.97 |
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 |
|---|---|---|---|---|
| en roh NM × 1.1191 (Sprach-Faktor aus 308 Karten) | 22 | 2 mo | £1.93 | 10.6 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#H06 · HR
#101 · HR
#2 · HR
#106 · PRIME
#183 · UR
#TG22 · V
#5 · RH
#6 · R
#182 · UR
#201 · UR
#XY56
#81 · R
#102 · R
#22 · RFrequently asked questions
What will I get for Cara Liss Shining Fates 67/72 if I want to sell quickly?
Half of all sales fell between £1.56 and £2.37, with a median of £1.97. 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 £1.30. Offers well below £0.78 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.