Passimian
Market price
€10,62
Price history · RAW
2026-05-02 · €1,97
€10,53 · 2026-07-09
Price per print
🇬🇧
Normal · EN
n=2
€10,62
How is this value calculated?
Ladder estimate · English
· ~€10,62
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 2 mo | €10,62 | 32.65 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €10,62 · Σ g = 32.65
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€10,69
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0069 (Sprach-Faktor aus 11 Karten) | 4 | 2 mo | €10,69 | 0.26 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €10,69 · Σ g = 0.26
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€12,63
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 4 | 2 mo | €12,63 | 3.54 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €12,63 · Σ g = 3.54
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€12,79
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.204 (Sprach-Faktor aus 32 Karten) | 4 | 2 mo | €12,79 | 4.66 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €12,79 · Σ g = 4.66
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
PSA Population
EN
Σ 16
PSA 9
4
25%
PSA 8
10
62%
PSA ≤7
2
12%
PSA · Sun & Moon Prerelease Staff · as of 2026-08-13
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 2
| 2026-07-09 | EN | RAW NM | Pokemon Card Passimian SM12 Black Star Promo NM | €10,53 |
| 2026-05-02 | EN | RAW NM | Passimian SM12 Sun & Moon Black Star Promo Holo NM Pokémon T | €1,97 |
FAQ
Frequently asked questions
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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