Browse sets
Market price
€83,81
Price history · RAW
2026-04-25 · €42,31 €176,12 · 2026-07-21
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.it n=2 €110,71 +80%
ebay.co.uk n=2 €61,55
How is this value calculated?
Ladder estimate · English · ~€16,33 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe14 49 d €16,37114.29
eigene LP-Verkäufe ÷ 1.02555 39 d €16,1933.09
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €16,33 · Σ g = 147.38

Measured error for this era×language (backtest): ±16 %

Ladder estimate · Deutsch · ~€18,69 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1417 (Sprach-Faktor aus 31 Karten)14 49 d €18,694.71
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €18,69 · Σ g = 4.71

Measured error for this era×language (backtest): ±17 %

Ladder estimate · Français · ~€21,35 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.3045 (Sprach-Faktor aus 362 Karten)14 49 d €21,353.64
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €21,35 · Σ g = 3.64

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

Ladder estimate · Italiano · ~€21,24 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2974 (Sprach-Faktor aus 12 Karten)14 49 d €21,2468.12
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €21,24 · Σ g = 68.12

Measured error for this era×language (backtest): ±15 %

PSA Population

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

Recent sales · 5
2026-07-21 EN RAW UNKNOWN 2025 Pokemon MEP Black Star Promos Serperior STAFF #064 €88,35
2026-07-01 EN RAW UNKNOWN 2025 Pokemon MEP Black Star Promos Serperior Staff #064 €80,79
2026-05-27 IT RAW UNKNOWN Serperior MEP 064 STAFF Stamped Promos MEP064-67 Perfect Ord €176,12
2026-05-20 IT RAW NM Serperior - [Staff] (#064) - Holofoil ME - Mega Evolution Pr €45,30
2026-04-25 EN RAW NM 1x Serperior [Staff] - MEP64 - MEP Black Star Promos NM-Mint €42,31
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FAQ

Frequently asked questions

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.