| ebay.es | n=30 | £1.77 | +49% |
| ebay.de | n=13 | £1.68 | +41% |
| ebay.com | n=51 | £1.19 | — |
How is this value calculated?
Recency-weighted trimmed median of 15 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 | 15 | 2 mo | £1.35 | 122.45 |
| eigene LP-Verkäufe ÷ 0.7341 | 27 | 2 mo | £1.85 | 2.2 |
| de roh NM × 1.1353 (Sprach-Faktor aus 11 Karten) | 3 | 3 mo | £1.28 | 1.57 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 3 mo | £1.13 | 24.49 |
| en roh NM × 0.8808 (Sprach-Faktor aus 11 Karten) | 15 | 2 mo | £1.19 | 2.72 |
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#9 · HR
#60 · U
#097 · SR
#49 · U
#13 · U
#49 · U
#2 · U
#51 · U
#3 · U
#65 · U
#4 · U
#002 · U
#65 · HR
#66 · HRFrequently asked questions
Auction or Buy It Now — which gets more for Skiploom Neo Revelation 52/64?
Across 9 auctions the median was £0.97, across 51 fixed-price sales £1.47. Fixed price therefore fetched about 51 % more — for this card patience with a set price is the better route.
What will I get for Skiploom Neo Revelation 52/64 if I want to sell quickly?
Half of all sales fell between £1.02 and £1.76, with a median of £1.47. 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 Skiploom Neo Revelation 52/64 unrealistic?
The cheapest genuine sales were around £0.74. Offers well below £0.44 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.