Browse sets
Market price
$3.35
Price history · RAW
2026-04-30 · $2.94 $3.50 · 2026-07-15
How is this value calculated?
Ladder estimate · English · ~$1.21 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe18 2 mo $1.20146.94
it roh NM × 0.9927 (Sprach-Faktor aus 32 Karten)5 2 mo $3.501.04
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.21 · Σ g = 147.98

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

Ladder estimate · Deutsch · ~$1.89 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9851 (Sprach-Faktor aus 87 Karten)18 2 mo $1.182.58
it roh NM × 0.9119 (Sprach-Faktor aus 30 Karten)5 2 mo $3.212.27
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.89 · Σ g = 4.85

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

Ladder estimate · Français · ~$2.72 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
it roh NM × 1.236 (Sprach-Faktor aus 19 Karten)5 2 mo $4.361.45
en roh NM × 1.1252 (Sprach-Faktor aus 27 Karten)18 2 mo $1.350.98
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $2.72 · Σ g = 2.43

Measured error for this era×language (backtest): ±25 %

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

Ladder estimate · Italiano · ~$3.35 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe5 2 mo $3.5240.82
en roh NM × 1.0083 (Sprach-Faktor aus 32 Karten)18 2 mo $1.212.11
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.35 · Σ g = 42.93

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

PSA Population

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

Recent sales · 4
2026-07-15 IT RAW NM Drakloak 129/167 Play! Pokemon Prize Pack Cosmo Holo Near Mi · eBay $3.36
2026-06-15 UNKNOWN RAW NM Drakloak 129/167 - Play! Pokemon Prize Pack Series 6 Cosmos $3.31
2026-05-09 UNKNOWN RAW NM Drakloak 129/167 Play! Pokemon Promo Card NM $3.50
2026-04-30 UNKNOWN RAW NM Drakloak 129/167 Play! Pokemon Prize Pack Cosmo Holo Near Mi $2.94
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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.