lastsold Browse sets
Magnemite
Obsidian Flames

Magnemite · Normal

Obsidian Flames · 063/197 ·Common
Reverse Holo · 8 Normal · 8
At a glance
Data basis8 sales
Released2023
Market price
€1,64
Price history · RAW
2026-04-07 · €1,15 €2,08 · 2026-06-15
Price per print
🇬🇧 Normal · EN n=5 €1,57
Recent sales · 16
2026-06-15 ES RAW UNKNOWN TARJETA POKEMON 063/197 MAGNEMITE REVERSO HOLO LLAMAS OBSIDI €1,15
2026-06-11 FR RAW UNKNOWN Carte Pokémon Magnéti 063/197 Reverse EV3 Ecarlate Violet Fl €1,99
2026-05-25 EN RAW NM Magnemite 063/197 Common Obsidian Flames Pokemon Reverse Hol €2,08
2026-05-21 EN RAW NM Pokemon SV03: Obsidian Flames Magnemite Common (OBF) Reverse €2,08
2026-05-17 ES RAW UNKNOWN Magnemite 063/197 Llamas de Obsidiana Comunes Pokemon Hologr €1,77
2026-05-03 ES RAW UNKNOWN POKEMON MAGNEMITE 063/197 LLAMAS OBSIDIANA (HOLO INVERSO, CA €1,36
2026-05-03 EN RAW LP Magnemite - OBF #063/197 SV03: Obsidian Flames Reverse Holof €2,38
2026-05-01 EN RAW NM Magnemite 063/197 Sv03: Obsidian Flames Reverse Holo Pokemon €1,25
2026-04-28 EN RAW UNKNOWN Magnemite #063/197 SV03: Obsidian Flames Common - Pokemon Ca €1,57
2026-04-22 EN RAW NM 🔥Pokemon - Magnemite - Reverse Holo - 063/197 - Obsidian Fla €1,46
2026-04-19 EN RAW UNKNOWN Magnemite #063/197 SV03: Obsidian Flames Common - Pokemon Ca €1,57
2026-04-15 EN RAW NM Magnemite #063/197 SV03: Pokemon Obsidian Flames Reverse Hol €1,82
2026-04-11 EN RAW UNKNOWN Magnemite #063/197 SV03: Obsidian Flames Holograma Inverso C €1,83
2026-04-10 EN RAW UNKNOWN Juego de cartas coleccionables Pokémon Magnemite Sv03: Obsid €1,35
2026-04-07 ES RAW UNKNOWN POKEMON MAGNEMITE 063/197 LLAMAS DE OBSIDIANA COMUNES Se abr €2,01
2026-04-07 EN RAW UNKNOWN Magnemite 063/197 SV03: Obsidian Flames 2023 Se abre en una €2,01

Frequently asked questions

What is Magnemite Obsidian Flames 063/197 worth?

The market value of Magnemite Obsidian Flames 063/197 is currently about €1,64, based on real eBay sales.

How does lastsold determine the market value?

lastsold uses only real eBay sales — 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.