Browse sets
Market price
$1.39
Price history · RAW
2026-04-17 · $0.22 $1.89 · 2026-09-11
Price per print
🇬🇧 Normal · EN n=6 $1.39
🇩🇪 Normal · DE n=1 $1.34
How is this value calculated?
Ladder estimate · English · ~$1.39 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe5 2 mo $1.3940.82
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.39 · Σ g = 40.82

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

Ladder estimate · Deutsch · ~$1.34 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9589 (Sprach-Faktor aus 18 Karten)5 2 mo $1.341.83
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.34 · Σ g = 1.83

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

Ladder estimate · Français · ~$1.80 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten)5 2 mo $1.803.97
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.80 · Σ g = 3.97

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

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

Ladder estimate · Italiano · ~$1.64 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.1763 (Sprach-Faktor aus 10 Karten)5 2 mo $1.6424.0
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.64 · Σ g = 24.0

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

PSA Population

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

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FAQ

Frequently asked questions

What will I get for Ferrothorn Sword & Shield 131/202 if I want to sell quickly?

Half of all sales fell between $0.98 and $1.63, with a median of $1.48. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.

Below which price is an offer for Ferrothorn Sword & Shield 131/202 unrealistic?

The cheapest genuine sales were around $0.97. Offers well below $0.58 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.

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.