Browse sets
Market price
£1.49
Price history · RAW
2026-04-24 · £0.56 £72.28 · 2026-08-02
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.es n=23 £1.73 +58%
ebay.de n=14 £1.59 +44%
ebay.com n=38 £1.30 +18%
ebay.it n=2 £1.10 —
Price per print
🇮🇹 Normal · IT n=2 £1.64
🇬🇧 Normal · EN n=59 £1.49
🇩🇪 Normal · DE n=2 £1.29
How is this value calculated?
Ladder estimate · English · ~£1.49 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe38 2 mo £1.49310.2
eigene LP-Verkäufe ÷ 0.9865 2 mo £1.438.04
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.49 · Σ g = 318.24

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

Ladder estimate · Deutsch · ~£1.29 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.8711 (Sprach-Faktor aus 64 Karten)38 2 mo £1.294.06
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.29 · Σ g = 4.06

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

Ladder estimate · Français · ~£1.96 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.237 (Sprach-Faktor aus 40 Karten) · Set +10% nachgeführt38 2 mo £1.963.81
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.96 · Σ g = 3.81

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

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

Ladder estimate · Italiano · ~£1.64 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1051 (Sprach-Faktor aus 30 Karten)38 2 mo £1.642.12
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.64 · Σ g = 2.12

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

PSA Population

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

Recent sales · 77
2026-08-02 EN RAW NM Lillipup Common SV03: Obsidian Flames 170/197 NM Yuka Morii · eBay £2.02
2026-07-31 EN RAW NM Lillipup 170/197 Common Obsidian Flames Pokemon Near Mint · eBay £1.31
2026-07-28 EN RAW NM Lillipup 170/197 Obsidian Flames Common Pokemon NM/M · eBay £1.59
2026-07-28 EN RAW NM Lillipup Common SV03: Obsidian Flames 170/197 NM · eBay £1.75
2026-07-27 EN RAW LP 170/197 Lillipup : Common Card : SV03 Obsidian Flames Lp Yuk · eBay £1.41
2026-07-26 EN RAW NM Pokemon Lillipup 170/197 Common Obsidian Flames NM Yuka Mori · eBay £1.58
2026-07-25 EN RAW NM #170/197 Lillipup Normal Common - Pokémon TCG SV03: Obsidian · eBay £1.16
2026-07-22 EN RAW NM LILLIPUP 170/197 - NM - OBF OBSIDIAN FLAMES ENGLISH POKEMON · eBay £1.56
2026-07-21 EN RAW NM Lillipup 170/197 Common Obsidian Flames Pokemon Near Mint · eBay £1.42
2026-07-20 EN RAW NM Lillipup 170/197 NM / M - Yuka Morii Clay Art - Obsidian Fla · eBay £0.74
2026-07-20 EN RAW NM Lillipup OBF 170/197 Pokémon SV03: Obsidian Flames Common EN £0.75
2026-07-19 EN RAW NM LILLIPUP 170/197 COMMON OBSIDIAN FLAMES POKEMON NM/M YUKA MO £1.33
2026-07-18 EN RAW NM Lillipup 170/197 Obsidian Flames Yuka Morii Pokemon NM £1.49
2026-07-18 EN RAW NM Lillipup Common SV03: Obsidian Flames 170/197 NM £0.74
2026-07-18 EN RAW NM Lillipup (Yuka Morii Artist!) Regular 170/197 NM - Obsidian £1.39
2026-07-15 EN RAW NM Lillipup 170/197 C Obsidian Flames NM £1.48
2026-07-15 EN RAW NM Lillipup Common SV03: Obsidian Flames 170/197 NM £1.30
2026-07-12 EN RAW LP Lillipup Common SV03: Obsidian Flames 170/197 LP *Yuka Morii £1.40
2026-07-12 EN RAW UNKNOWN Pokemon TCG Lillipup Yorkleff IR Holo Englisch Weiße Flammen £16.58
2026-07-11 EN RAW NM ▸ Lillipup | SV03: Obsidian Flames | Common | 170/197 | NM £1.29
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FAQ

Frequently asked questions

What will I get for Lillipup Obsidian Flames 170/197 if I want to sell quickly?

Half of all sales fell between £1.11 and £1.75, with a median of £1.42. 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 Lillipup Obsidian Flames 170/197 unrealistic?

The cheapest genuine sales were around £0.78. Offers well below £0.47 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.