Browse sets
Market price
€54,95
Price history · RAW
2026-07-13 · €46,03 €52,96 · 2026-07-14
How is this value calculated?
Ladder estimate · English · ~€2,03 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe36 26 d €1,97293.88
eigene LP-Verkäufe ÷ 0.96983 30 d €6,359.4
unknown roh NM × 0.8566 (Sprach-Faktor aus 92 Karten)4 23 d €1,375.94
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,03 · Σ g = 309.22

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

Ladder estimate · Deutsch · ~€1,44 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.8295 (Sprach-Faktor aus 72 Karten)36 26 d €1,637.17
unknown roh NM × 0.7649 (Sprach-Faktor aus 61 Karten)4 23 d €1,225.79
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,44 · Σ g = 12.96

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

Ladder estimate · Français · ~€2,07 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1484 (Sprach-Faktor aus 53 Karten)36 26 d €2,2610.85
unknown roh NM × 1.1176 (Sprach-Faktor aus 50 Karten)4 23 d €1,796.78
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,07 · Σ g = 17.63

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

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

Ladder estimate · Italiano · ~€2,07 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1556 (Sprach-Faktor aus 52 Karten)36 26 d €2,2812.22
unknown roh NM × 1.0459 (Sprach-Faktor aus 47 Karten)4 23 d €1,675.34
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,07 · Σ g = 17.56

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

PSA Population

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

Recent sales · 3
2026-07-14 EN RAW UNKNOWN Pokemon Miraidon (Pokemon Center Exclusive) 013 Holo Scarlet €65,76
2026-07-14 EN RAW UNKNOWN Pokemon TCG Miraidon 013 SV Scarlet & Violet Promo Pokémon C €26,30
2026-07-13 EN RAW NM Pokemon TCG - Miraidon 013 Pokemon Center Exclusive Scarlet €52,96
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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.