Browse sets
Market price
€0,93
Price history · RAW
2026-04-11 · €0,86 €2,09 · 2026-07-26
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.es n=4 €1,73 +88%
ebay.com n=3 €0,92
Price per print
🇬🇧 Normal · EN n=2 €0,93
How is this value calculated?
Ladder estimate · English · ~€0,93 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 20 d €0,9316.33
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,93 · Σ g = 16.33

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

PSA Population

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

Recent sales · 8
2026-07-26 EN RAW NM Tadbulb OBF 075/197 Pokémon SV03: Obsidian Flames Common EN €0,93
2026-07-05 EN RAW NM Tadbulb 075/197 Common Obsidian Flames Pokemon Near Mint €0,86
2026-06-26 ES RAW UNKNOWN Tadbulb 075/197 - Holograma inverso - Pokémon - Llamas de ob €1,31
2026-06-18 UNKNOWN RAW UNKNOWN Têtampoule - EV3:Obsidianische Flammen - 075/197 - Französis €1,90
2026-05-31 ES RAW UNKNOWN Tadbulb 075/197 Llamas de Obsidiana Comunes Pokemon Hologram €2,09
2026-05-20 ES RAW UNKNOWN TADBULB 075/197 OBSIDIAN FLAMES POKEMON (HOLO INVERSO, CASI €1,36
2026-05-12 EN RAW LP Tadbulb - 075/197 - Common - Lightly Played €0,92
2026-04-11 ES RAW UNKNOWN Tadbulb 075/197 Llamas de Obsidiana Comunes Pokemon Hologram €2,09
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FAQ

Frequently asked questions

What will I get for Tadbulb Obsidian Flames 075/197 if I want to sell quickly?

Half of all sales fell between €0,93 and €1,90, with a median of €1,36. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.

Below which price is an offer for Tadbulb Obsidian Flames 075/197 unrealistic?

The cheapest genuine sales were around €0,92. Offers well below €0,55 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.

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.