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Pansear
Paradox Rift

Pansear

Paradox Rift · 020/182 ·Common
Market price
€0,88
Price history · RAW
2026-04-18 · €0,08 €2,03 · 2026-07-31
Price per print
🇬🇧 Normal · EN n=5 €0,88
How is this value calculated?
Ladder estimate · English · ~€0,88 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe3 58 d €0,8824.49
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,88 · Σ g = 24.49

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

Ladder estimate · Deutsch · ~€0,86 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.8851 (Sprach-Faktor aus 110 Karten) · Set +16% nachgeführt3 58 d €0,864.48
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,86 · Σ g = 4.48

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

Ladder estimate · Français · ~€1,17 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2184 (Sprach-Faktor aus 63 Karten) · Set +14% nachgeführt3 58 d €1,172.45
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,17 · Σ g = 2.45

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

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

Ladder estimate · Italiano · ~€0,98 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1084 (Sprach-Faktor aus 58 Karten)3 58 d €0,985.23
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,98 · Σ g = 5.23

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

PSA Population

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

Recent sales · 6
2026-07-31 UNKNOWN RAW UNKNOWN Pokemon Karmesin & Purpur Paradoxrift - Grillmak 020/182 €1,00
2026-06-28 EN RAW NM 💥Pokemon TCG - Pansear - 020/182 - Common - Paradox Rift - N €0,78
2026-06-26 EN RAW UNKNOWN 2023 Scarlet & Violet Series - Paradox Rift Pansear Holo #20 €1,74
2026-06-14 EN RAW NM Pansear 020/182 Common Paradox Rift Pokemon Near Mint €0,86
2026-05-08 EN RAW UNKNOWN SV04: Paradox Rift #020/182 Pansear €0,08
2026-04-18 EN RAW NM Pansear 020/182 Common Normal PAR NM €2,03
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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.