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Market price
£2.22
based on 2 sales
Price history · RAW
2026-06-01 · £1.20 £5.10 · 2026-06-06
How is this value calculated?
Ladder estimate · English · ~£5.21 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe203 9 d £5.231657.14
eigene LP-Verkäufe ÷ 0.913510 52 d £1.766.39
eigene PSA9-Verkäufe ÷ 2.844314 32 d £7.330.53
eigene PSA10-Verkäufe ÷ 9.252721 25 d £5.230.15
de roh NM × 0.7242 (Sprach-Faktor aus 25 Karten)12 11 d £5.536.34
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £5.21 · Σ g = 1670.55

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

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

Ladder estimate · Deutsch · ~£7.61 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe12 11 d £7.6497.96
en roh NM × 1.3809 (Sprach-Faktor aus 25 Karten)203 9 d £7.227.39
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £7.61 · Σ g = 105.35

Measured error for this era×language (backtest): ±28 %

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

Ladder estimate · Français · ~£20.92 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 4 mo £21.2216.33
en roh NM × 2.0889 (Sprach-Faktor aus 8 Karten)203 9 d £10.920.36
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £20.92 · Σ g = 16.69

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

Ladder estimate · Italiano · ~£12.12 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten)203 9 d £12.122.03
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £12.12 · Σ g = 2.03

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 · 2
2026-06-06 EN RAW UNKNOWN 2021 Pokemon Celebrations 25th Tapu Lele GX 60 /145 Confetti £1.20
2026-06-01 EN RAW UNKNOWN 2021 Pokemon Celebrations 25th Tapu Lele GX 60 /145 Confetti £5.10
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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.