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Market price
£0.79
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~£1.50 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe393 3 d £1.503208.16
de roh NM × 0.8223 (Sprach-Faktor aus 102 Karten)9 3 d £1.043.93
fr roh NM × 0.6654 (Sprach-Faktor aus 90 Karten)6 16 d £0.663.64
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.50 · Σ g = 3215.73

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

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

Ladder estimate · Deutsch · ~£1.27 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe9 3 d £1.2773.47
en roh NM × 1.2162 (Sprach-Faktor aus 102 Karten)393 3 d £1.823.74
fr roh NM × 0.8181 (Sprach-Faktor aus 78 Karten)6 16 d £0.812.89
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.27 · Σ g = 80.1

Measured error for this era×language (backtest): ±28 %

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

Ladder estimate · Français · ~£1.09 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 16 d £0.9948.98
en roh NM × 1.503 (Sprach-Faktor aus 90 Karten)393 3 d £2.264.64
de roh NM × 1.2224 (Sprach-Faktor aus 78 Karten)9 3 d £1.553.51
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.09 · Σ g = 57.13

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

Ladder estimate · Italiano · ~£1.12 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
fr roh NM × 0.8009 (Sprach-Faktor aus 18 Karten)6 16 d £0.804.6
de roh NM × 1.0715 (Sprach-Faktor aus 20 Karten)9 3 d £1.373.99
en roh NM × 1.0066 (Sprach-Faktor aus 20 Karten)393 3 d £1.512.57
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.12 · Σ g = 11.16

Measured error for this era×language (backtest): ±169 %

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
2026-09-19 EN RAW NM Greninja EX 021/128 30th Anniversary Stamped £0.79
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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.