Browse sets
Market price
$1,917
How is this value calculated?
Ladder estimate · English · ~$9.86 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe147 12 d $9.871200.0
eigene PSA9-Verkäufe ÷ 2.81322 42 d $6.762.76
eigene PSA8-Verkäufe ÷ 1.86184 2 mo $9.691.56
eigene PSA10-Verkäufe ÷ 8.186854 2 mo $6.200.46
de roh NM × 0.6743 (Sprach-Faktor aus 29 Karten)8 38 d $11.311.75
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $9.86 · Σ g = 1206.53

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

Ladder estimate · Deutsch · ~$16.49 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe8 38 d $16.7865.31
eigene PSA9-Verkäufe ÷ 2.8132 3 mo $11.912.58
en roh NM × 1.483 (Sprach-Faktor aus 29 Karten)147 12 d $14.632.54
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $16.49 · Σ g = 70.43

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

Ladder estimate · Français · ~$30.52 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 22 d $33.5216.33
de roh NM × 1.1431 (Sprach-Faktor aus 7 Karten)8 38 d $19.171.84
en roh NM × 1.1821 (Sprach-Faktor aus 7 Karten)147 12 d $11.660.7
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $30.52 · Σ g = 18.87

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

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

Ladder estimate · Italiano · ~$12.37 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1191 (Sprach-Faktor aus 308 Karten)147 12 d $11.0511.16
de roh NM × 1.0295 (Sprach-Faktor aus 202 Karten)8 38 d $17.283.81
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $12.37 · Σ g = 14.97

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 $1,260
2026-04-25 EN RAW UNKNOWN Pokemon Nessa Professor Program Vivid Voltage #183 $1,917
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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.