Browse sets
Market price
£7.93
Price history · RAW
2026-04-04 · £7.26 £35.76 · 2026-06-28
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.es n=2 £7.93 +8%
ebay.com n=3 £7.34 —
How is this value calculated?
Ladder estimate · English · ~£1.52 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe8 52 d £1.5265.31
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.52 · Σ g = 65.31

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

Ladder estimate · Deutsch · ~£1.45 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.952 (Sprach-Faktor aus 18 Karten)8 52 d £1.451.84
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.45 · Σ g = 1.84

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

Ladder estimate · Français · ~£1.96 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten)8 52 d £1.964.12
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.96 · Σ g = 4.12

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

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

Ladder estimate · Italiano · ~£1.79 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1763 (Sprach-Faktor aus 10 Karten)8 52 d £1.7930.79
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.79 · Σ g = 30.79

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

PSA Population

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

Recent sales · 5
2026-06-28 EN RAW UNKNOWN Frosmoth - 064/202 - 1st 2nd 3rd 4th Place - Pokemon League · eBay £35.76
2026-06-02 ES RAW UNKNOWN Frosmoth - 64/202 - 3er Lugar - League Challenge Reverse Hol · eBay £7.96
2026-06-01 EN RAW UNKNOWN Frosmoth - 64/202 - 2nd Place - League Challenge Reverse Hol · eBay £7.26
2026-05-28 ES RAW UNKNOWN Frosmoth - 64/202 - 1st Place League Challenge Reverse Holo £7.89
2026-04-04 EN RAW UNKNOWN Frosmoth - 64/202 - 4th Place - League Challenge Reverse Hol £7.34
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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.