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Pal Pad
Flashfire

Pal Pad

Flashfire · 92/106 ·Uncommon
Market price
€3,29
Price history · RAW
2026-04-15 · €0,66 €4,63 · 2026-07-26
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.co.uk n=3 €2,53 +199%
ebay.com n=4 €0,84
Price per print
🇬🇧 Normal · EN n=4 €3,28
How is this value calculated?
Ladder estimate · English · ~€1,01 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe · Set +16% nachgeführt2 2 mo €1,0116.33
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,01 · Σ g = 16.33

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

PSA Population

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

Recent sales · 8
2026-07-26 EN RAW UNKNOWN Pokémon TCG PAL Pad Flashfire Trainer Uncommon Card 92/106 G €3,33
2026-07-15 EN RAW MP Pal Pad 92/106 Uncommon Flashfire Pokemon MP PLANETA €0,66
2026-07-01 EN RAW UNKNOWN Pal Pad Russian Pokemon XY Flashfire #92 €3,27
2026-06-16 EN RAW NM Pal Pad Uncommon XY - Flashfire 92/106 NM €0,85
2026-06-02 ES RAW UNKNOWN Tarjeta única Pokemon Flash Fire PAL Pad Holo 92/106 Se abre €4,63
2026-05-05 EN RAW LP Pal Pad Uncommon XY - Flashfire 92/106 LP €2,53
2026-04-24 EN RAW MP Pokémon TCG Pal Pad Flashfire 92/106 Regular Uncommon MP €2,18
2026-04-15 EN RAW NM Pal Pad - 92/106 - Uncommon - Near Mint - XY FlashFire €0,84
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FAQ

Frequently asked questions

What will I get for Pal Pad Flashfire 92/106 if I want to sell quickly?

Half of all sales fell between €0,85 and €3,27, with a median of €2,53. 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 Pal Pad Flashfire 92/106 unrealistic?

The cheapest genuine sales were around €0,84. Offers well below €0,50 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.