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Market price
$14.82
based on 2 sales
Price history · RAW
2026-06-09 · $10.47 $15.91 · 2026-07-08
How is this value calculated?
Ladder estimate · English · ~$14.67 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe104 2 mo $14.64848.98
eigene LP-Verkäufe ÷ 0.91356 3 mo $14.646.11
eigene PSA9-Verkäufe ÷ 2.84432 3 mo $24.810.53
eigene PSA10-Verkäufe ÷ 9.25272 2 mo $13.580.15
de roh NM × 0.7242 (Sprach-Faktor aus 25 Karten)6 3 mo $21.045.96
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $14.67 · Σ g = 861.73

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

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

Ladder estimate · Deutsch · ~$27.68 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 3 mo $29.0548.98
eigene PSA10-Verkäufe ÷ 9.25272 3 mo $16.720.15
en roh NM × 1.3809 (Sprach-Faktor aus 25 Karten)104 2 mo $20.227.36
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $27.68 · Σ g = 56.49

Measured error for this era×language (backtest): ±28 %

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

Ladder estimate · Français · ~$30.57 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 2.0889 (Sprach-Faktor aus 8 Karten)104 2 mo $30.570.36
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $30.57 · Σ g = 0.36

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

Ladder estimate · Italiano · ~$33.93 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten)104 2 mo $33.932.03
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $33.93 · Σ g = 2.03

Measured error for this era×language (backtest): ±169 %

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

PSA Population

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

Recent sales · 2
2026-07-08 EN RAW UNKNOWN Pokemon TCG Venusaur 15/102 Holo Celebrations 25th Anniversa $15.91
2026-06-09 EN RAW UNKNOWN Pokemon TCG Celebrations Classic Collection Venusaur Holo RA $10.47
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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.