Bounsweet

Obsidian Flames · 016/197 ·Common

Illustration: Kurata So →

Cosmos Holo $2.77 21 sales Reverse Holo $1.73 26 sales Normal $1.03 19 sales

Market price

$1.03

Price history · RAW

2026-04-13 · $0.92 $17.72 · 2026-08-02

Cross-market · RAW median per marketplace

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

ebay.de	n=2	$10.03	+927%
ebay.es	n=7	$1.63	+67%
ebay.com	n=8	$0.98	—

Price per print

🇫🇷 Normal · FR n=1 $1.38

🇬🇧 Normal · EN n=15 $1.03

How is this value calculated?

Ladder estimate · English · ~$1.03 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	8	2 mo	$1.03	65.31

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.03 · Σ g = 65.31

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

Ladder estimate · Deutsch · ~$0.91 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.8832 (Sprach-Faktor aus 64 Karten)	8	2 mo	$0.91	3.47

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $0.91 · Σ g = 3.47

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

Ladder estimate · Français · ~$1.38 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	$1.38	3.73

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.38 · 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 · ~$1.14 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.1051 (Sprach-Faktor aus 30 Karten)	8	2 mo	$1.14	2.07

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.14 · 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	$17.72
2026-07-18	EN	RAW NM	Bounsweet Normal Common SV03: Obsidian Flames 016/197 NM · eBay	$0.98
2026-07-14	EN	RAW NM	Bounsweet - 016/197 - Common - Near Mint · eBay	$1.03
2026-07-13	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon Near Mint · eBay	$0.98
2026-07-11	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon NM · eBay	$1.30
2026-07-07	EN	RAW NM	Bounsweet 016/197 Common English Near Mint Pokemon TCG · eBay	$1.03
2026-06-30	EN	RAW UNKNOWN	Bounsweet 016/197 Obsidian Flames English Holo	$0.98
2026-06-18	UNKNOWN	RAW NM	Bounsweet 016/197 Miscellaneous Cards & Products Pokemon TCG	$2.33
2026-06-05	EN	RAW UNKNOWN	Pokémon comunes Bounsweet Obsidian Flames 016/197 casi como	$1.63
2026-06-04	EN	RAW NM	Bounsweet 016/197 Common Obsidian Flames Pokemon Near Mint	$0.95
2026-05-22	EN	RAW LP	Bounsweet - 016/197 - Common - Lightly Played	$1.03
2026-05-20	EN	RAW NM	🔥Pokemon TCG - Bounsweet - 016/197 - Common - Obsidian Flame	$0.92
2026-05-15	EN	RAW UNKNOWN	Pokémon comunes Bounsweet Obsidian Flames 016/197 casi como	$1.52
2026-05-14	EN	RAW NM	Bounsweet Cosmo Holo Obsidian Flames Pokemon TCG OBF 016/197	$16.83
2026-05-12	FR	RAW NM	carte pokemon croquine promo holo 016/197 flammes obsidienne	$5.50
2026-05-02	EN	RAW UNKNOWN	Pokémon Bounsweet 016/197 Obsidian Flames 2023 ligeramente j	$2.32
2026-04-25	ES	RAW UNKNOWN	TARJETA POKEMON LLAMAS OBSIDIANA 016/197 BOUNSWEET \| COMÚN \|	$1.29
2026-04-17	EN	RAW UNKNOWN	Bounsweet 016/197 SV03: Obsidian Flames Regular	$1.47
2026-04-13	EN	RAW UNKNOWN	Pokemon Obsidian Flames Cosmo Holo 016/197 Bounsweet Caja Co	$4.46

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 $0.98 and $2.33, with a median of $1.30. 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 $0.98. Offers well below $0.59 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.