Browse sets
Market price
$1.04
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~$1.98 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe393 3 d $1.983208.16
de roh NM × 0.8223 (Sprach-Faktor aus 102 Karten)9 3 d $1.373.93
fr roh NM × 0.6654 (Sprach-Faktor aus 90 Karten)6 16 d $0.873.64
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.98 · 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 · ~$1.68 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe9 3 d $1.6873.47
en roh NM × 1.2162 (Sprach-Faktor aus 102 Karten)393 3 d $2.403.74
fr roh NM × 0.8181 (Sprach-Faktor aus 78 Karten)6 16 d $1.072.89
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.68 · 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 · ~$1.44 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 16 d $1.3148.98
en roh NM × 1.503 (Sprach-Faktor aus 90 Karten)393 3 d $2.974.64
de roh NM × 1.2224 (Sprach-Faktor aus 78 Karten)9 3 d $2.053.51
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.44 · Σ g = 57.13

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

Ladder estimate · Italiano · ~$1.48 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
fr roh NM × 0.8009 (Sprach-Faktor aus 18 Karten)6 16 d $1.054.6
de roh NM × 1.0715 (Sprach-Faktor aus 20 Karten)9 3 d $1.803.99
en roh NM × 1.0066 (Sprach-Faktor aus 20 Karten)393 3 d $1.992.57
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.48 · 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 $1.04
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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.