Browse sets
Market price
$1.69
Price history · RAW
2026-05-13 · $0.98 $4.65 · 2026-07-17
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.co.uk n=2 $3.82 +140%
ebay.com n=6 $1.59 —
Price per print
🇬🇧 Normal · EN n=5 $3.66
How is this value calculated?
Ladder estimate · English · ~$3.66 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe · Set +13% nachgeführt3 2 mo $3.6624.49
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.66 · Σ g = 24.49

Measured error for this era×language (backtest): ±20 %

Ladder estimate · Deutsch · ~$1.49 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.4902 (Sprach-Faktor aus 15 Karten) · Set -16% nachgeführt3 2 mo $1.493.62
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.49 · Σ g = 3.62

Gate not green — shown only here, never as the price.

PSA Population

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

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FAQ

Frequently asked questions

Is it worth grading Glameow Great Encounters 68/106?

A PSA 10 currently sells for about $314.75, raw the card sits at $3.65 — 86,3× as much. Mathematically, submitting returns $314.75 on average, before fees and shipping. Rule of thumb: submit when the value at a realistic grade is at least double the raw value — which is the case here. Centering decides it: an off-centre card will not get a 10.

What will I get for Glameow Great Encounters 68/106 if I want to sell quickly?

Half of all sales fell between $1.44 and $2.23, with a median of $1.94. 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 Glameow Great Encounters 68/106 unrealistic?

The cheapest genuine sales were around $0.98. Offers well below $0.59 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.