Browse sets
Market price
$360.93
Price history · RAW
2026-05-01 · $2.33 $487.59 · 2026-08-02
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.com n=2 $368.56 +114%
ebay.de n=3 $171.85 —
How is this value calculated?
Ladder estimate · English · ~$1.69 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe10 2 mo $1.6981.63
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.69 · Σ g = 81.63

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

Ladder estimate · Deutsch · ~$1.90 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1199 (Sprach-Faktor aus 113 Karten)10 2 mo $1.903.23
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.90 · Σ g = 3.23

Measured error for this era×language (backtest): ±22 %

Ladder estimate · Français · ~$2.90 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.708 (Sprach-Faktor aus 66 Karten)10 2 mo $2.902.08
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $2.90 · Σ g = 2.08

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

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

Ladder estimate · Italiano · ~$1.67 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9841 (Sprach-Faktor aus 50 Karten)10 2 mo $1.675.03
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.67 · Σ g = 5.03

Measured error for this era×language (backtest): ±18 %

PSA Population

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

Recent sales · 5
2026-08-02 EN RAW UNKNOWN Pokémon TCG Friends In Sinnoh 131/159 Professor Program Stam · eBay $171.85
2026-07-05 EN RAW UNKNOWN Pokémon TCG Friends In Sinnoh 131/159 Professor Program Stam · eBay $368.10
2026-06-03 EN RAW UNKNOWN Friends in Sinnoh - (2023) 131/159 Professor Program Reverse $487.59
2026-05-31 EN RAW UNKNOWN Pokémon TCG Friends In Sinnoh 131/159 Professor Program Stam $369.02
2026-05-01 EN RAW UNKNOWN Friends in Sinnoh - (2023) [Staff] 131/159 Professor Progra $2.33
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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.