Lokix

Phantasmal Flames · 010/94 ·Uncommon

Illustration: Taiga Kasai →

Market price

£1.17

Price history · RAW

2026-04-21 · £0.52 £1.47 · 2026-07-17

Price per print

🇬🇧 Normal · EN n=6 £1.17

How is this value calculated?

Ladder estimate · English · ~£1.17 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	4	3 mo	£1.17	32.65

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.17 · Σ g = 32.65

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

Ladder estimate · Deutsch · ~£1.02 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.8701 (Sprach-Faktor aus 52 Karten)	4	3 mo	£1.02	2.54

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.02 · Σ g = 2.54

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

Ladder estimate · Français · ~£1.87 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.5945 (Sprach-Faktor aus 46 Karten)	4	3 mo	£1.87	2.79

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.87 · Σ g = 2.79

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

Ladder estimate · Italiano · ~£1.20 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.0255 (Sprach-Faktor aus 33 Karten)	4	3 mo	£1.20	2.62

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.20 · Σ g = 2.62

Measured error for this era×language (backtest): ±15 %

PSA Population

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

Recent sales · 6

2026-07-17	EN	RAW UNKNOWN	Pokemon TCG ME02: Phantasmal Flames Lokix 010/094 · eBay	£0.96
2026-07-08	EN	RAW NM	2025 Near Mint Pokemon Lokix 010/094 Phantasmal Flames PFL · eBay	£1.47
2026-07-01	EN	RAW NM	Lokix 010/094 Uncommon Phantasmal Flames Pokemon Near Mint · eBay	£0.74
2026-06-23	EN	RAW NM	Lokix Uncommon ME02: Phantasmal Flames 010/094 NM · eBay	£1.22
2026-06-08	EN	RAW UNKNOWN	Lokix 010/094 Uncommon Phantasmal Flames · eBay	£0.52
2026-04-21	EN	RAW NM	Lokix - 010/094 - Phantasmal Flames - Common - NM/M	£0.71

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.