Claydol · Reverse Holo
| ebay.fr | n=3 | £1.56 | +43% |
| ebay.de | n=2 | £1.29 | +18% |
| ebay.com | n=37 | £1.09 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe · Set -21% nachgeführt | 31 | 2 mo | £0.86 | 253.06 |
| fr roh NM × 0.654 (Sprach-Faktor aus 15 Karten) | 3 | 36 d | £1.02 | 4.08 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.912 (Sprach-Faktor aus 14 Karten) · Set -17% nachgeführt | 31 | 2 mo | £0.81 | 2.82 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 36 d | £1.57 | 24.49 |
| en roh NM × 1.5291 (Sprach-Faktor aus 15 Karten) · Set -17% nachgeführt | 31 | 2 mo | £1.36 | 3.09 |
Measured error for this era×language (backtest): ±20 %
No PSA numbers for this print yet — in any language.
#046 · C
#033 · U
#057 · U
#082 · U
#009 · U
#077 · U
#034 · U
#026 · U
#018 · U
#024 · U
#032 · U
#078 · U
#080 · U
#063 · U
#079 · U
#93 · R
#2 · HR
#5 · HR
#24 · U
#15 · HR
#31 · U
#64 · R
#092 · IR
#22 · HR
#15A4
#79 · R
#103 · R
#38 · U
#33 · R
#059 · U
#095 · HR
#145 · R
#094 · U
#58 · RFrequently asked questions
What will I get for Claydol · Reverse Holo Chaos Rising 047/86 if I want to sell quickly?
Half of all sales fell between £0.92 and £1.33, with a median of £1.09. 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 Claydol · Reverse Holo Chaos Rising 047/86 unrealistic?
The cheapest genuine sales were around £0.78. Offers well below £0.47 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 Last Sold determine the market value?
Last Sold 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.