Browse sets
Market price
€1.707,65
How is this value calculated?
Ladder estimate · English · ~€10,29 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe98 22 d €10,33800.0
eigene PSA8-Verkäufe ÷ 1.81123 2 mo €5,672.81
eigene PSA9-Verkäufe ÷ 1.898516 35 d €6,370.79
eigene PSA10-Verkäufe ÷ 7.432148 23 d €8,620.66
de roh NM × 0.9029 (Sprach-Faktor aus 21 Karten)6 56 d €8,395.47
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €10,29 · Σ g = 809.73

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

Ladder estimate · Deutsch · ~€8,90 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe · Set -11% nachgeführt6 56 d €8,6248.98
eigene PSA9-Verkäufe ÷ 1.8985 · Set -11% nachgeführt2 2 mo €14,900.78
en roh NM × 1.1076 (Sprach-Faktor aus 21 Karten)98 22 d €11,444.6
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €8,90 · Σ g = 54.36

Measured error for this era×language (backtest): ±22 %

Ladder estimate · Français · ~€12,72 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2597 (Sprach-Faktor aus 6 Karten)98 22 d €13,025.2
de roh NM × 1.3203 (Sprach-Faktor aus 6 Karten)6 56 d €12,273.41
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €12,72 · Σ g = 8.61

Measured error for this era×language (backtest): ±20 %

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

Ladder estimate · Italiano · ~€10,39 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0839 (Sprach-Faktor aus 5 Karten)98 22 d €11,204.11
de roh NM × 1.0295 (Sprach-Faktor aus 202 Karten)6 56 d €9,573.74
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €10,39 · Σ g = 7.85

Measured error for this era×language (backtest): ±18 %

PSA Population

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

Recent sales · 2
2026-04-26 EN CGC 10 Pokemon Nessa Professor Program TPCI Award Vivid Voltage #18 €1.122,86
2026-04-25 EN RAW UNKNOWN Pokemon Nessa Professor Program Vivid Voltage #183 €1.707,65
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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.