Unown T

Mysterious Treasures · 67/123 ·Uncommon

Illustration: Kazuyuki Kano →

Market price

£2.40

based on 1 sales

Price history · RAW

2026-04-22 · £1.01 £3.60 · 2026-07-26

Cross-market · RAW median per marketplace

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

ebay.de	n=2	£2.37	+72%
ebay.com	n=6	£1.38	—

Price per print

🇬🇧 Normal · EN n=3 £1.94

🇩🇪 Normal · DE 1 sales · too few Last sale £3.60

How is this value calculated?

PSA Population EN Σ 5

PSA 9

1 20%

PSA 8

2 40%

PSA ≤7

2 40%

PSA · as of 2026-10-07

Recent sales · 8

2026-07-26	EN	RAW LP	Pokémon-Unown T-Mysterious Treasures-67/123-LP · eBay	£1.15
2026-07-25	EN	RAW UNKNOWN	2007 Pokemon Diamond and Pearl Mysterious Treasures #67 Unow · eBay	£1.85
2026-07-04	EN	RAW HP	Unown T - 67/123 - Uncommon HP English Pokemon Mysterious Tr · eBay	£1.02
2026-07-01	EN	RAW UNKNOWN	2007 Pokemon Diamond and Pearl Mysterious Treasures #67 Unow · eBay	£1.48
2026-06-22	EN	RAW NM	Unown T 67/123 \| Diamond & Pearl Mysterious Treasures \| Poke · eBay	£2.40
2026-06-03	DE	RAW UNKNOWN	Pokemon Icognito T 67/123 Geheimnisvolle Schätze Deutsch · eBay	£3.60
2026-06-01	EN	RAW MP	Unown T - 67/123 - Uncommon MP English Pokemon Mysterious Tr · eBay	£1.01
2026-04-22	EN	RAW LP	Unown T - 67/123 - Uncommon LP English Pokemon Mysterious Tr · eBay	£1.28

Frequently asked questions

What will I get for Unown T Mysterious Treasures 67/123 if I want to sell quickly?

Half of all sales fell between £1.15 and £1.85, with a median of £1.48. 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 Unown T Mysterious Treasures 67/123 unrealistic?

The cheapest genuine sales were around £1.02. Offers well below £0.61 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.