lastsold Browse sets
Pawniard
Obsidian Flames

Pawniard · Normal

Obsidian Flames · 148/197 ·Common
Reverse Holo · 2 Normal · 14
At a glance
Data basis14 sales
Released2023
Market price
€1,61
Price history · RAW
2026-04-04 · €1,31 €2,42 · 2026-06-11
Price per print
🇬🇧 Normal · EN n=11 €1,68
Recent sales · 16
2026-06-11 FR RAW UNKNOWN Carte Pokémon Scalpion 148/197 Reverse EV3 Ecarlate Violet F €1,99
2026-06-10 EN RAW NM Pawniard 148/197 Cosmos Holo Obsidian Flames Promo Pokemon N €1,71
2026-06-03 EN RAW UNKNOWN PAWNIARD 148/197 OBSIDIAN FLAMES POKEMON (HOLO INVERSO, CASI €1,36
2026-05-26 EN RAW UNKNOWN Pawniard 148/197 Cosmos Holo Promo Obsidian Flames Pokemon T €2,08
2026-05-24 EN RAW UNKNOWN Pawniard 148/197 COSMOS Holofoil PROMO SV03 Obsidian Flames €1,62
2026-05-22 EN RAW UNKNOWN Pawniard 148/197 - Cosmos Holo - Obsidian Flames - Common - €1,57
2026-05-12 EN RAW UNKNOWN Pokemon Pawniard 148/197 Cosmos Holo Promo Raro S&V Obsidian €2,42
2026-05-08 ES RAW UNKNOWN Pawniard 148/197 Cosmos Holo Común Escarlata y Violeta Obsid €1,31
2026-04-22 EN RAW NM Pawniard - 148/197 - Pokemon Obsidian Flames Cosmos Holo Rar €2,40
2026-04-20 ES RAW UNKNOWN Holo llamas de obsidiana Pawniard 148/197 COSMOS Se abre en €1,43
2026-04-18 EN RAW UNKNOWN Pokemon PAWNIARD 148/197 Obsidian Flames HOLO PROMO - - COMO €1,31
2026-04-13 EN RAW UNKNOWN Pokemon Obsidian Flames Cosmo Holo 148/197 Pawniard Nieuw ve €2,08
2026-04-06 EN RAW UNKNOWN Pokemon Obsidian Flames 148/197 Pawniard Holograma Inverso S €1,40
2026-04-05 EN RAW UNKNOWN Pawniard 148/197 Reverse Holo Cosmo Swirl Obsidian Flames Po €2,05
2026-04-04 EN RAW LP Pokemon - Obsidian Flames - Pawniard 148/197 (Cosmo Holo) LP €1,57
2026-04-04 EN RAW UNKNOWN Tarjeta Pokémon Promocional Pawniard - Cosmos Holo - Obsidia €1,98

Frequently asked questions

What is Pawniard Obsidian Flames 148/197 worth?

The market value of Pawniard Obsidian Flames 148/197 is currently about €1,61, 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.