Browse sets
Market price
£8.45
based on 2 sales
Price history · RAW
2026-04-20 · £1.96 £34.39 · 2026-07-07
How is this value calculated?
Ladder estimate · English · ~£1.73 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe90 2 mo £1.74734.69
eigene LP-Verkäufe ÷ 0.96284 3 mo £0.694.41
de roh NM × 1.1988 (Sprach-Faktor aus 87 Karten)14 3 d £1.292.79
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.73 · Σ g = 741.89

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

Ladder estimate · Deutsch · ~£1.08 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe14 3 d £1.08114.29
en roh NM × 0.8342 (Sprach-Faktor aus 87 Karten)90 2 mo £1.452.08
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.08 · Σ g = 116.37

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

Ladder estimate · Français · ~£1.29 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 1 d £1.2716.33
de roh NM × 1.2061 (Sprach-Faktor aus 30 Karten)14 3 d £1.303.34
en roh NM × 0.8668 (Sprach-Faktor aus 31 Karten)90 2 mo £1.512.16
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.29 · Σ g = 21.83

Measured error for this era×language (backtest): ±25 %

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

Ladder estimate · Italiano · ~£1.77 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0868 (Sprach-Faktor aus 34 Karten)90 2 mo £1.893.38
de roh NM × 1.4041 (Sprach-Faktor aus 32 Karten)14 3 d £1.511.45
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.77 · Σ g = 4.83

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

PSA Population

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

Recent sales · 2
2026-07-07 EN RAW UNKNOWN IRON THORNS EX (LEAGUE STAMP) 077/167 HOLO PRIZE PACK SERIES £1.96
2026-04-20 EN RAW UNKNOWN Pokémon Iron Thorns Ex 077/167 Southeast Asia League Stamp P £34.39
More from Twilight Masquerade
More Iron Thorns cards
FAQ

Frequently asked questions

How does Last Sold determine the market value?

Last Sold 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.