Volcanion

Mega Evolution · 025/132 ·Uncommon

イラスト: GIDORA →

Market price

€0,87

Price history · RAW

2026-04-06 · €0,37 €14,58 · 2026-07-17

Cross-market · RAW median per marketplace

Spread vs. cheapest market — before shipping/duty/fees

ebay.it	n=2	€2,77	+223%
ebay.com	n=2	€0,86	—

Price per print

🇮🇹 Normal · IT n=2 €0,89

🇬🇧 Normal · EN n=3 €0,87

この価格の計算方法

ラダー推定 · Deutsch · ~€0,89 gruen

根拠	件数	経過	値 vᵢ	重み gᵢ
en roh NM × 0.9699 (Sprach-Faktor aus 83 Karten) · Set +10% nachgeführt	3	2 ヶ月	€0,89	4.14

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,89 · Σ g = 4.14

実測誤差（時代×言語のバックテスト）: ±17 %

ラダー推定 · English · ~€0,87 gruen

根拠	件数	経過	値 vᵢ	重み gᵢ
eigene rohe NM-Verkäufe	3	2 ヶ月	€0,87	24.49

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,87 · Σ g = 24.49

実測誤差（時代×言語のバックテスト）: ±16 %

ラダー推定 · Français · ~€1,04 gruen

根拠	件数	経過	値 vᵢ	重み gᵢ
en roh NM × 1.1977 (Sprach-Faktor aus 77 Karten)	3	2 ヶ月	€1,04	5.4

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,04 · Σ g = 5.4

実測誤差（時代×言語のバックテスト）: ±20 %

ラダー推定 · Italiano · ~€0,89 gruen

根拠	件数	経過	値 vᵢ	重み gᵢ
en roh NM × 1.029 (Sprach-Faktor aus 52 Karten)	3	2 ヶ月	€0,89	8.0

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,89 · Σ g = 8.0

実測誤差（時代×言語のバックテスト）: ±15 %

PSA Population

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

Recent sales · 7

2026-07-17	UNKNOWN	RAW NM	Volcanion MEG ME01: Mega Evolution #025/132 Uncommon NM	€1,67
2026-07-06	EN	RAW NM	Volcanion 025/132 Uncommon Mega Evolution Pokemon Near Mint	€0,87
2026-06-18	IT	RAW UNKNOWN	VOLCANION 2024 Holo FOIL #025/132 Carta Pokemon GRADO 10 TCG	€5,18
2026-06-01	IT	RAW UNKNOWN	Lotto 3 Volcanion Mega Evolution 025/132 viene aperta una nu	€0,37
2026-05-29	EN	RAW NM	Volcanion 025/132 MEG Mega Evolution Common Near Mint	€0,85
2026-04-09	EN	RAW NM	GPC 10 Volcanion 025/132 Mega Evolution Pokemon Graded Card	€14,58
2026-04-06	ES	RAW UNKNOWN	TARJETA POKEMON MEGA EVOLUTION POCO COMÚN VOLCANION 025/132	€1,15

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.