Browse sets
Market price
€9,32
Price history · RAW
2026-04-04 · €8,54 €20,81 · 2026-07-04
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.es n=2 €9,32 +8%
ebay.com n=3 €8,63
How is this value calculated?
Ladder estimate · English · ~€2,66 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe4 48 d €2,6632.65
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,66 · Σ g = 32.65

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

Ladder estimate · Deutsch · ~€2,82 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0579 (Sprach-Faktor aus 11 Karten)4 48 d €2,821.94
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,82 · Σ g = 1.94

Measured error for this era×language (backtest): ±22 %

Ladder estimate · Français · ~€3,44 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten)4 48 d €3,443.87
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €3,44 · Σ g = 3.87

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

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

Ladder estimate · Italiano · ~€3,09 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1618 (Sprach-Faktor aus 9 Karten)4 48 d €3,099.61
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €3,09 · Σ g = 9.61

Measured error for this era×language (backtest): ±18 %

PSA Population

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

Recent sales · 5
2026-07-04 EN RAW UNKNOWN Frosmoth (Pokemon League First Place) Sword & Shield #064 €20,81
2026-06-02 ES RAW UNKNOWN Frosmoth - 64/202 - 3er Lugar - League Challenge Reverse Hol €9,36
2026-06-01 EN RAW UNKNOWN Frosmoth - 64/202 - 2nd Place - League Challenge Reverse Hol €8,54
2026-05-28 ES RAW UNKNOWN Frosmoth - 64/202 - 1st Place League Challenge Reverse Holo €9,28
2026-04-04 EN RAW UNKNOWN Frosmoth - 64/202 - 4th Place - League Challenge Reverse Hol €8,63
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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.