Exeggcute
How is this value calculated?
Recency-weighted trimmed median of 26 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 | 29 | 6 d | £1.10 | 236.73 |
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 × 1.1672 (Sprach-Faktor aus 104 Karten) | 29 | 6 d | £1.29 | 3.49 |
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 × 1.4546 (Sprach-Faktor aus 75 Karten) | 29 | 6 d | £1.60 | 4.41 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0126 (Sprach-Faktor aus 28 Karten) | 29 | 6 d | £1.12 | 5.94 |
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
#77 · C
#192 · IR
#SM119 · R
#4 · U
#43 · U
#74 · C
#75 · C
#1 · C
#1 · C
#63 · 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 £0.91 and £1.25, 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 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.