Bounsweet

Obsidian Flames · 016/197 ·Common

Illustration: Kurata So →

Cosmos Holo £2.10 21 sales Reverse Holo £1.31 26 sales Normal £0.78 19 sales

Market price

£0.78

Price history · RAW

2026-04-13 · £0.70 £13.43 · 2026-08-02

Cross-market · RAW median per marketplace

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

ebay.de	n=2	£7.60	+927%
ebay.es	n=7	£1.23	+67%
ebay.com	n=8	£0.74	—

Price per print

🇫🇷 Normal · FR n=1 £1.05

🇬🇧 Normal · EN n=15 £0.78

How is this value calculated?

Ladder estimate · English · ~£0.78 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	8	2 mo	£0.78	65.31

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.78 · Σ g = 65.31

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

Ladder estimate · Deutsch · ~£0.69 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.8832 (Sprach-Faktor aus 64 Karten)	8	2 mo	£0.69	3.47

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.69 · Σ g = 3.47

Measured error for this era×language (backtest): ±19 %

Ladder estimate · Français · ~£1.05 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.251 (Sprach-Faktor aus 40 Karten) · Set +10% nachgeführt	8	2 mo	£1.05	3.73

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.05 · Σ g = 3.73

Measured error for this era×language (backtest): ±25 %

Gate not green — shown only here, never as the price.

Ladder estimate · Italiano · ~£0.87 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.1051 (Sprach-Faktor aus 30 Karten)	8	2 mo	£0.87	2.07

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.87 · Σ g = 2.07

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

PSA Population

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

Recent sales · 19

2026-08-02	EN	RAW UNKNOWN	Pokemon TCG - Bounsweet (Cosmo Holo) - [016/197] Obsidian Fl · eBay	£13.43
2026-07-18	EN	RAW NM	Bounsweet Normal Common SV03: Obsidian Flames 016/197 NM · eBay	£0.74
2026-07-14	EN	RAW NM	Bounsweet - 016/197 - Common - Near Mint · eBay	£0.78
2026-07-13	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon Near Mint · eBay	£0.74
2026-07-11	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon NM · eBay	£0.99
2026-07-07	EN	RAW NM	Bounsweet 016/197 Common English Near Mint Pokemon TCG · eBay	£0.78
2026-06-30	EN	RAW UNKNOWN	Bounsweet 016/197 Obsidian Flames English Holo	£0.74
2026-06-18	UNKNOWN	RAW NM	Bounsweet 016/197 Miscellaneous Cards & Products Pokemon TCG	£1.77
2026-06-05	EN	RAW UNKNOWN	Pokémon comunes Bounsweet Obsidian Flames 016/197 casi como	£1.23
2026-06-04	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon Near Mint	£0.72
2026-05-22	EN	RAW LP	Bounsweet - 016/197 - Common - Lightly Played	£0.78
2026-05-20	EN	RAW NM	🔥Pokemon TCG - Bounsweet - 016/197 - Common - Obsidian Flame	£0.70
2026-05-15	EN	RAW UNKNOWN	Pokémon comunes Bounsweet Obsidian Flames 016/197 casi como	£1.15
2026-05-14	EN	RAW NM	Bounsweet Cosmo Holo Obsidian Flames Pokemon TCG OBF 016/197	£12.75
2026-05-12	FR	RAW NM	carte pokemon croquine promo holo 016/197 flammes obsidienne	£4.17
2026-05-02	EN	RAW UNKNOWN	Pokémon Bounsweet 016/197 Obsidian Flames 2023 ligeramente j	£1.76
2026-04-25	ES	RAW UNKNOWN	TARJETA POKEMON LLAMAS OBSIDIANA 016/197 BOUNSWEET \| COMÚN \|	£0.98
2026-04-17	EN	RAW UNKNOWN	Bounsweet 016/197 SV03: Obsidian Flames Regular	£1.11
2026-04-13	EN	RAW UNKNOWN	Pokemon Obsidian Flames Cosmo Holo 016/197 Bounsweet Caja Co	£3.38

Frequently asked questions

What will I get for Bounsweet Obsidian Flames 016/197 if I want to sell quickly?

Half of all sales fell between £0.74 and £1.77, with a median of £0.99. 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 Bounsweet Obsidian Flames 016/197 unrealistic?

The cheapest genuine sales were around £0.74. Offers well below £0.44 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.