Browse sets
Market price
$8.28
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~$23.63 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe58 9 d $23.64473.47
eigene LP-Verkäufe ÷ 0.728973 12 d $21.374.19
eigene PSA9-Verkäufe ÷ 3.2966 · Set +11% nachgeführt19 2 mo $16.851.5
eigene PSA8-Verkäufe ÷ 1.6238 · Set +11% nachgeführt6 2 mo $31.031.4
eigene PSA7-Verkäufe ÷ 1.32785 18 d $39.581.24
eigene PSA10-Verkäufe ÷ 14.70526 10 d $16.930.15
fr roh NM × 0.4143 (Sprach-Faktor aus 20 Karten)3 32 d $19.961.32
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $23.63 · Σ g = 483.27

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

Ladder estimate · Deutsch · ~$10.72 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 21 d $7.3116.33
fr roh NM × 0.6 (Sprach-Faktor aus 13 Karten)3 32 d $28.915.92
en roh NM × 0.6651 (Sprach-Faktor aus 7 Karten)58 9 d $15.721.04
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $10.72 · Σ g = 23.29

Measured error for this era×language (backtest): ±36 %

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

Ladder estimate · Français · ~$48.93 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe3 32 d $48.1924.49
en roh NM × 2.5352 (Sprach-Faktor aus 20 Karten)58 9 d $59.941.84
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $48.93 · Σ g = 26.33

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

Ladder estimate · Italiano · ~$33.20 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.4041 (Sprach-Faktor aus 17 Karten)58 9 d $33.2015.24
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $33.20 · Σ g = 15.24

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

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
2026-09-30 EN RAW UNKNOWN Moltres Promo #21 + Legendary Birds 2-Card Lot, Pokemon Leag $8.28
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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.