Browse sets
Market price
€0,91
Price history · RAW
2025-12-28 · €0,73 €1,85 · 2026-07-17
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.es n=2 €1,58 +32%
ebay.com n=6 €1,20
How is this value calculated?
Ladder estimate · English · ~€0,91 gruen reverse_holo
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe4 29 d €0,9132.65
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,91 · Σ g = 32.65

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

PSA Population

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

Recent sales · 8
2026-07-17 EN RAW NM Pokemon TCG Squawkabilly 162/198 Scarlet & Violet Reverse Ho €0,91
2026-07-16 EN RAW NM Squawkabilly 162/198 - Reverse Holo - Pokemon - Scarlet & Vi €0,86
2026-06-30 EN RAW NM Squawkabilly 162/198 Common Scarlet & Violet Pokemon Reverse €1,75
2026-06-17 ES RAW UNKNOWN Squawkabilly 162/198 SV01: Scarlet & Violet Pokemon TCG Reve €1,58
2026-06-16 EN RAW UNKNOWN Reverse Holofoil Squawkabilly 162/198 Pokemon Common SV01: S €0,73
2026-06-15 EN RAW NM Squawkabilly 162/198 Common Scarlet & Violet Pokemon Reverse €1,85
2026-06-07 ES RAW UNKNOWN Juego de cartas coleccionables Pokémon Squawkabilly 162/198 €1,57
2025-12-28 EN RAW LP Squawkabilly SV01: Scarlet & Violet Base Set #162/198 Common €1,48
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FAQ

Frequently asked questions

What will I get for Squawkabilly Scarlet & Violet 162/198 if I want to sell quickly?

Half of all sales fell between €0,91 and €1,58, with a median of €1,57. 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 Squawkabilly Scarlet & Violet 162/198 unrealistic?

The cheapest genuine sales were around €0,86. Offers well below €0,52 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.