Tapu Bulu
| ebay.es | n=4 | £1.11 | +31% |
| ebay.com | n=77 | £0.97 | +15% |
| ebay.de | n=3 | £0.85 | — |
How is this value calculated?
Recency-weighted trimmed median of 47 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 | 47 | 25 d | £0.99 | 383.67 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.6894 (Sprach-Faktor aus 42 Karten) | 47 | 25 d | £0.69 | 3.97 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2939 (Sprach-Faktor aus 24 Karten) | 47 | 25 d | £1.29 | 1.19 |
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 × 1.1266 (Sprach-Faktor aus 14 Karten) | 47 | 25 d | £1.12 | 3.5 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#149 · SEC
#065 · IR
#130 · UR
#065 · IR
#37 · R
#SM32 · R
#SM61 · R
#16 · RH
#006 · HR
#098 · HR
#078 · IR
#066 · IR
#067 · IRFrequently asked questions
What will I get for Tapu Bulu Shrouded Fable 006/64 if I want to sell quickly?
Half of all sales fell between £0.78 and £1.25, with a median of £0.97. 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 Tapu Bulu Shrouded Fable 006/64 unrealistic?
The cheapest genuine sales were around £0.72. Offers well below £0.43 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.