Browse sets
Market price
$7.59
based on 3 sales
Price history · RAW
2026-07-06 · $6.78 $9.36 · 2026-08-13
How is this value calculated?
Ladder estimate · English · ~$3.07 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe265 58 d $3.072163.27
eigene LP-Verkäufe ÷ 0.995510 2 mo $3.837.51
eigene PSA10-Verkäufe ÷ 8.4622 4 mo $5.030.16
de roh NM × 0.9742 (Sprach-Faktor aus 87 Karten)30 33 d $3.251.96
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.07 · Σ g = 2172.9

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

Ladder estimate · Deutsch · ~$3.33 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe30 33 d $3.33244.9
en roh NM × 1.0265 (Sprach-Faktor aus 87 Karten)265 58 d $3.152.02
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.33 · Σ g = 246.92

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

Ladder estimate · Français · ~$4.35 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
de roh NM × 1.4442 (Sprach-Faktor aus 30 Karten)30 33 d $4.822.29
en roh NM × 1.1878 (Sprach-Faktor aus 30 Karten)265 58 d $3.641.31
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $4.35 · Σ g = 3.6

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

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

Ladder estimate · Italiano · ~$3.91 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2326 (Sprach-Faktor aus 35 Karten)265 58 d $3.782.99
de roh NM × 1.2475 (Sprach-Faktor aus 33 Karten)30 33 d $4.161.55
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $3.91 · Σ g = 4.54

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

PSA Population

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

Recent sales · 3
2026-08-13 EN RAW UNKNOWN *Play! Pokémon Stamped* Teal Mask Ogerpon ex 025/167 Ultra R $6.78
2026-07-30 EN RAW UNKNOWN teal mask ogerpon ex 025/167 /Prize Pack4 /Play Pokemon/Stam $8.29
2026-07-06 EN RAW LP Teal Mask Ogerpon ex 025/167 Play Pokemon Prize Pack Series $9.36
You might also like
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.