Browse sets
Market price
$1,261
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~$1,719 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe50 9 d $1,728408.16
eigene PSA7-Verkäufe ÷ 1.027433 11 d $1,6752.39
eigene LP-Verkäufe ÷ 0.805855 3 d $1,2381.69
eigene PSA8-Verkäufe ÷ 2.550952 8 d $1,1811.15
eigene PSA9-Verkäufe ÷ 5.043569 8 d $1,0630.77
eigene PSA10-Verkäufe ÷ 37.52611 21 d $1,4360.61
de roh NM × 2.083 (Sprach-Faktor aus 14 Karten)6 4 d $722.410.77
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1,719 · Σ g = 415.54

Measured error for this era×language (backtest): ±19 %

Ladder estimate · Deutsch · ~$345.11 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 4 d $346.8148.98
eigene PSA7-Verkäufe ÷ 1.02744 3 mo $355.512.33
eigene LP-Verkäufe ÷ 0.80586 19 d $321.531.64
eigene PSA8-Verkäufe ÷ 2.55096 2 mo $252.071.14
eigene PSA9-Verkäufe ÷ 5.04354 4 mo $241.570.77
en roh NM × 0.4953 (Sprach-Faktor aus 14 Karten)50 9 d $855.770.48
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $345.11 · Σ g = 55.34

Measured error for this era×language (backtest): ±27 %

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

Ladder estimate · Français · ~$300.67 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 23 d $301.4648.98
eigene LP-Verkäufe ÷ 0.80584 1 d $277.721.62
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $300.67 · Σ g = 50.6

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

Ladder estimate · Italiano · ~$629.69 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe24 6 d $629.69195.92
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $629.69 · Σ g = 195.92

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

PSA Population

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

Recent sales · 1
2026-09-11 EN RAW UNKNOWN MNT 8.5 GRADED COSMOS HOLO GENGAR 94/102 HGSS TRIUMPHANT POK $1,261
You might also like
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.