Browse sets
Market price
$15.64
Price history · RAW
2026-06-09 · $10.43 $15.85 · 2026-07-08
How is this value calculated?
Ladder estimate · English · ~$15.64 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe105 2 mo $15.63857.14
eigene LP-Verkäufe ÷ 0.86386 3 mo $14.665.28
eigene PSA9-Verkäufe ÷ 3.19762 2 mo $21.990.58
eigene PSA10-Verkäufe ÷ 9.87172 2 mo $12.670.16
de roh NM × 0.6878 (Sprach-Faktor aus 25 Karten)6 3 mo $19.424.0
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $15.64 · Σ g = 867.16

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

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

Ladder estimate · Deutsch · ~$27.49 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe6 3 mo $28.2348.98
eigene PSA10-Verkäufe ÷ 9.87172 3 mo $15.610.16
en roh NM × 1.4539 (Sprach-Faktor aus 25 Karten)105 2 mo $22.726.33
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $27.49 · Σ g = 55.47

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

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

Ladder estimate · Français · ~$32.64 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 2.0889 (Sprach-Faktor aus 8 Karten)105 2 mo $32.640.36
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $32.64 · Σ g = 0.36

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

Ladder estimate · Italiano · ~$36.23 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten)105 2 mo $36.232.03
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $36.23 · 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 $15.85
2026-06-09 EN RAW UNKNOWN Pokemon TCG Celebrations Classic Collection Venusaur Holo RA $10.43
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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.