Browse sets
Market price
€30,03
Price history · RAW
2026-04-21 · €4,81 €57,06 · 2026-04-30
How is this value calculated?
Ladder estimate · English · ~€119,18 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe13 57 d €126,78106.12
eigene LP-Verkäufe ÷ 0.98624 37 d €101,745.9
eigene PSA9-Verkäufe ÷ 1.33386 38 d €85,690.92
eigene PSA10-Verkäufe ÷ 7.84477 45 d €39,680.23
unknown roh NM × 0.805 (Sprach-Faktor aus 25 Karten)6 2 mo €92,0118.06
es roh NM × 0.7786 (Sprach-Faktor aus 47 Karten)5 2 mo €115,4212.62
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €119,18 · Σ g = 143.85

Measured error for this era×language (backtest): ±16 %

Ladder estimate · Deutsch · ~€120,38 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9495 (Sprach-Faktor aus 149 Karten)13 57 d €120,383.37
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €120,38 · Σ g = 3.37

Measured error for this era×language (backtest): ±34 %

Gate not green — shown only here, never as the price.

Ladder estimate · Français · ~€150,78 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten)13 57 d €150,783.83
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €150,78 · Σ g = 3.83

Measured error for this era×language (backtest): ±9 %

Gate not green — shown only here, never as the price.

Ladder estimate · Italiano · ~€137,82 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0871 (Sprach-Faktor aus 97 Karten)13 57 d €137,827.91
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €137,82 · Σ g = 7.91

Measured error for this era×language (backtest): ±17 %

Gate not green — shown only here, never as the price.

PSA Population

No PSA numbers for this print yet — in any language.

Recent sales · 2
2026-04-30 EN RAW UNKNOWN 1st, 2nd, 3rd, 4th Place League Lusamine SET Ultra Prism 153 €57,06
2026-04-21 EN RAW UNKNOWN 2019 Pokemon SM Ultra Prism Lusamine League Challenge Stamp €4,81
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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.