Browse sets
Market price
€1,19
Price history · RAW
2026-05-03 · €0,87 €2,33 · 2026-07-03
How is this value calculated?
Ladder estimate · English · ~€1,19 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe28 27 d €1,17228.57
unknown roh NM × 1.0728 (Sprach-Faktor aus 92 Karten)4 40 d €2,076.38
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,19 · Σ g = 234.95

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

Ladder estimate · Deutsch · ~€1,27 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 18 d €1,2416.33
en roh NM × 0.9135 (Sprach-Faktor aus 93 Karten)28 27 d €1,078.98
unknown roh NM × 0.9594 (Sprach-Faktor aus 86 Karten)4 40 d €1,855.31
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,27 · Σ g = 30.62

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

Ladder estimate · Français · ~€1,59 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
unknown roh NM × 1.0382 (Sprach-Faktor aus 55 Karten)4 40 d €2,003.01
en roh NM × 0.9972 (Sprach-Faktor aus 59 Karten)28 27 d €1,162.19
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,59 · Σ g = 5.2

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

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

Ladder estimate · Italiano · ~€1,64 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
unknown roh NM × 1.1236 (Sprach-Faktor aus 50 Karten)4 40 d €2,167.37
en roh NM × 1.0546 (Sprach-Faktor aus 54 Karten)28 27 d €1,237.0
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,64 · Σ g = 14.37

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

PSA Population

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

Recent sales · 3
2026-07-03 UNKNOWN RAW NM Emboar (Poke Ball Pattern) 013/086 Rare WHT White Flare Poke €2,33
2026-06-01 UNKNOWN RAW UNKNOWN Flambirex 013/086 - Pokeball Reverse - (WHT 013) - Pokemon K €1,49
2026-05-03 EN RAW NM Emboar (Poke Ball Pattern) Holo 013/086 SV: White Flare NM €0,87
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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.