Exeggcute
How is this value calculated?
Recency-weighted trimmed median of 25 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 | 25 | 5 d | £0.94 | 204.08 |
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 × 1.0482 (Sprach-Faktor aus 68 Karten) | 25 | 5 d | £0.98 | 2.47 |
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2614 (Sprach-Faktor aus 50 Karten) | 25 | 5 d | £1.17 | 6.24 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8322 (Sprach-Faktor aus 9 Karten) | 25 | 5 d | £0.77 | 24.39 |
Measured error for this era×language (backtest): ±169 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#102 · SEC
#33 · U
#192 · IR
#77 · C
#SM119 · R
#64 · C
#76 · C
#43 · U
#74 · C
#4 · U
#75 · C
#1 · CFrequently asked questions
What will I get for Exeggcute 30th Celebration 001/128 if I want to sell quickly?
Half of all sales fell between £0.75 and £1.18, with a median of £1.10. 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 Exeggcute 30th Celebration 001/128 unrealistic?
The cheapest genuine sales were around £0.73. 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.