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Market price
£147.69
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~£1,294 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe50 9 d £1,301408.16
eigene PSA7-Verkäufe ÷ 1.027433 11 d £1,2622.39
eigene LP-Verkäufe ÷ 0.805855 3 d £932.671.69
eigene PSA8-Verkäufe ÷ 2.550952 8 d £889.271.15
eigene PSA9-Verkäufe ÷ 5.043569 8 d £801.030.77
eigene PSA10-Verkäufe ÷ 37.52611 21 d £1,0820.61
de roh NM × 2.083 (Sprach-Faktor aus 14 Karten)6 4 d £544.130.77
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1,294 · Σ g = 415.54

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

Ladder estimate · Deutsch · ~£259.94 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 4 d £261.2348.98
eigene PSA7-Verkäufe ÷ 1.02744 3 mo £267.782.33
eigene LP-Verkäufe ÷ 0.80586 19 d £242.181.64
eigene PSA8-Verkäufe ÷ 2.55096 2 mo £189.861.14
eigene PSA9-Verkäufe ÷ 5.04354 4 mo £181.960.77
en roh NM × 0.4953 (Sprach-Faktor aus 14 Karten)50 9 d £644.580.48
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £259.94 · 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 · ~£226.47 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 23 d £227.0648.98
eigene LP-Verkäufe ÷ 0.80584 1 d £209.191.62
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £226.47 · Σ g = 50.6

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

Ladder estimate · Italiano · ~£474.29 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe24 6 d £474.29195.92
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £474.29 · 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
2026-07-19 DE RAW MP Gengar 94/102 Triumph Reverse Holo Rare Deutsch Pokemon TCG £147.69
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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.