Browse sets
Market price
£273.42
Price history · RAW
2026-05-01 · £1.77 £369.37 · 2026-08-02
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.com n=2 £279.20 +114%
ebay.de n=3 £130.19 —
How is this value calculated?
Ladder estimate · English · ~£1.28 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe10 2 mo £1.2881.63
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.28 · Σ g = 81.63

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

Ladder estimate · Deutsch · ~£1.44 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1199 (Sprach-Faktor aus 113 Karten)10 2 mo £1.443.23
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.44 · Σ g = 3.23

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

Ladder estimate · Français · ~£2.19 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.708 (Sprach-Faktor aus 66 Karten)10 2 mo £2.192.08
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £2.19 · 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 · ~£1.27 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9841 (Sprach-Faktor aus 50 Karten)10 2 mo £1.275.03
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.27 · 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 £130.19
2026-07-05 EN RAW UNKNOWN Pokémon TCG Friends In Sinnoh 131/159 Professor Program Stam · eBay £278.85
2026-06-03 EN RAW UNKNOWN Friends in Sinnoh - (2023) 131/159 Professor Program Reverse £369.37
2026-05-31 EN RAW UNKNOWN Pokémon TCG Friends In Sinnoh 131/159 Professor Program Stam £279.55
2026-05-01 EN RAW UNKNOWN Friends in Sinnoh - (2023) [Staff] 131/159 Professor Progra £1.77
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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.