Fearow

Sun & Moon · 98/149 ·Common

イラスト: Hideki Ishikawa →

Market price

€1,47

Price history · RAW

2026-04-30 · €0,85 €1,85 · 2026-07-15

Cross-market · RAW median per marketplace

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

ebay.de	n=3	€1,35	+47%
ebay.com	n=5	€0,92	—

Price per print

🇬🇧 Normal · EN n=2 €1,47

🇩🇪 Normal · DE 1 sales · too few Last sale €1,50

この価格の計算方法

ラダー推定 · English · ~€1,47 gruen reverse_holo

根拠	件数	経過	値 vᵢ	重み gᵢ
eigene rohe NM-Verkäufe	3	38 日	€1,56	24.49
eigene LP-Verkäufe ÷ 0.9401	4	45 日	€1,30	11.72

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,47 · Σ g = 36.21

実測誤差（時代×言語のバックテスト）: ±16 %

PSA Population

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

Recent sales · 8

2026-07-15	UNKNOWN	RAW UNKNOWN	Pokemon TCG SM Base Set Fearow 98/149	€1,35
2026-06-23	DE	RAW UNKNOWN	Pokemon Karte Ibitak 98/149 Sonne und Mond Deutsch	€1,50
2026-06-09	EN	RAW LP	Fearow - 98/149 - Common - Lightly Played	€0,85
2026-06-04	EN	RAW MP	Fearow 98/149 Pokemon Common SM Base Set Card MP	€0,70
2026-06-04	EN	RAW UNKNOWN	Fearow - Rev-Holo - Pokemon TCG - Sun and Moon - Base set -	€1,51
2026-05-31	UNKNOWN	RAW UNKNOWN	98/149 Ibitak - Sonne und Mond	€1,00
2026-05-18	EN	RAW LP	Fearow 98/149 Common SM Base Set Pokemon Lightly Played	€1,85
2026-04-30	EN	RAW UNKNOWN	Pokémon TCG - FEAROW - 98/149 - Sun & Moon (Base Set) - 2017	€0,92

Frequently asked questions

What will I get for Fearow Sun & Moon 98/149 if I want to sell quickly?

Half of all sales fell between €0,92 and €1,50, with a median of €1,35. 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 Fearow Sun & Moon 98/149 unrealistic?

The cheapest genuine sales were around €0,85. Offers well below €0,51 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.