Balloon Berry

Deoxys · 84/107 ·Uncommon

イラスト: Keiji Kinebuchi →

Market price

€7,61

Price history · RAW

2026-04-15 · €1,47 €8,36 · 2026-07-08

Cross-market · RAW median per marketplace

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

ebay.es	n=4	€4,78	+29%
ebay.com	n=3	€3,71	—

Price per print

🇬🇧 Normal · EN n=2 €2,79

この価格の計算方法

ラダー推定 · English · ~€2,79 gelb

根拠	件数	経過	値 vᵢ	重み gᵢ
eigene rohe NM-Verkäufe	2	35 日	€2,79	16.33

値 = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,79 · Σ g = 16.33

実測誤差（時代×言語のバックテスト）: ±22 %

ゲートが緑でないため価格としては表示されません。

PSA Population

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

Recent sales · 8

2026-07-08	EN	RAW NM	Pokemon TCG - Balloon Berry - 84/107 - EX Deoxys - NM Uncomm	€3,71
2026-07-06	EN	RAW NM	Balloon Berry Uncommon Deoxys 84/107 NM	€1,74
2026-07-04	UNKNOWN	RAW UNKNOWN	Pokemon EX Karte Deoxys 84/107 - Balloon Berry Wird in neuem	€1,54
2026-06-12	ES	RAW UNKNOWN	Balloon Berry 84/107 Poco Común Deoxys Pokemon Holo Inverso	€8,36
2026-06-11	ES	RAW UNKNOWN	Balloon Berry Uncommon Deoxys 84/107 casi nuevo Se abre en u	€1,98
2026-06-02	ES	RAW UNKNOWN	Pokemon Balloon Berry Deoxys 84/107 Se abre en una nueva ven	€1,47
2026-05-07	ES	RAW UNKNOWN	Pokémon TCG Balloon Berry Deoxys 84/107 Holo STAMPED Se abre	€7,58
2026-04-15	EN	RAW LP	Pokemon Balloon Berry Uncommon Deoxys 84/107 LP	€6,79

Frequently asked questions

What will I get for Balloon Berry Deoxys 84/107 if I want to sell quickly?

Half of all sales fell between €1,74 and €6,79, with a median of €3,71. 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 Balloon Berry Deoxys 84/107 unrealistic?

The cheapest genuine sales were around €1,54. Offers well below €0,92 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.