Market price
€1,55
How is this value calculated?
Ladder estimate · English
· ~€1,55
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 70 | 24 d | €1,54 | 571.43 |
| eigene LP-Verkäufe ÷ 1.0034 | 3 | 30 d | €1,89 | 9.21 |
| es roh NM × 0.7121 (Sprach-Faktor aus 135 Karten) | 3 | 12 d | €1,84 | 5.02 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,55 · Σ g = 585.66
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€1,45
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8639 (Sprach-Faktor aus 142 Karten) | 70 | 24 d | €1,33 | 3.51 |
| es roh NM × 0.6275 (Sprach-Faktor aus 84 Karten) | 3 | 12 d | €1,63 | 2.8 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,45 · Σ g = 6.31
Measured error for this era×language (backtest): ±17 %
Ladder estimate · Français
· ~€1,99
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1685 (Sprach-Faktor aus 139 Karten) | 70 | 24 d | €1,80 | 10.16 |
| es roh NM × 0.8891 (Sprach-Faktor aus 79 Karten) | 3 | 12 d | €2,30 | 7.04 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,99 · Σ g = 17.2
Measured error for this era×language (backtest): ±20 %
Ladder estimate · Italiano
· ~€1,71
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.044 (Sprach-Faktor aus 99 Karten) | 70 | 24 d | €1,61 | 7.17 |
| es roh NM × 0.7242 (Sprach-Faktor aus 62 Karten) | 3 | 12 d | €1,88 | 4.82 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,71 · Σ g = 11.99
Measured error for this era×language (backtest): ±15 %
PSA Population
No PSA numbers for this print yet — in any language.
FAQ
Frequently asked questions
Is the English or the German Team Rocket's Mimikyu Ascended Heroes 097/217 worth more?
From real sales: French €2,07 (32), English €1,81 (76). French fetches about 14 % more.
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.
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