Ninetales · Reverse Holo
| ebay.fr | n=4 | £1.75 | +72% |
| ebay.es | n=19 | £1.68 | +65% |
| ebay.co.uk | n=4 | £1.49 | +47% |
| ebay.com | n=34 | £1.25 | +23% |
| ebay.it | n=4 | £1.15 | +13% |
| ebay.de | n=2 | £1.02 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 38 | 3 mo | £1.35 | 310.2 |
| eigene LP-Verkäufe ÷ 0.8972 | 3 | 3 mo | £2.60 | 5.15 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 4 mo | £1.13 | 16.33 |
| en roh NM × 0.9573 (Sprach-Faktor aus 8 Karten) | 38 | 3 mo | £1.29 | 4.76 |
Measured error for this era×language (backtest): ±19 %
No PSA numbers for this print yet — in any language.
#026 · C
#107 · C
#132 · C
#041 · C
#069 · C
#036 · C
#083 · C
#078 · C
#103 · C
#144 · C
#128 · C
#004 · C
#047 · C
#089 · C
#113 · C
#H19 · HR
#3
#21 · HR
#96 · HR
#8 · HR
#BW66 · C
#7 · RH
#17 · R
#17 · HR
#25 · R
#177 · UR
#13 · HR
#199 · IR
#12 · HR
#57 · R
#50 · U
#19 · R
#19 · R
#20 · R
#186 · UR
#38 · U
#36 · R
#32 · R
#22 · HR
#13 · UR
#15 · R
#16 · UR
#26 · V
#21 · R
#25 · R
#038 · RR
#009 · U
#21 · R
#30 · U
#018 · U
#16 · R
#23 · R
#017 · U
#31 · UFrequently asked questions
What will I get for Ninetales · Reverse Holo Twilight Masquerade 027/167 if I want to sell quickly?
Half of all sales fell between £1.10 and £1.68, with a median of £1.37. 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 Ninetales · Reverse Holo Twilight Masquerade 027/167 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.