Camerupt

Unified Minds · 24/236 ·Rare

Illustration: Masakazu Fukuda →

Market price

£1.48

Price history · RAW

2026-04-12 · £1.09 £1.77 · 2026-09-11

Price per print

🇬🇧 Normal · EN n=3 £1.48

How is this value calculated?

Ladder estimate · English · ~£1.48 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	3	4 mo	£1.48	24.49

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.48 · Σ g = 24.49

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

Ladder estimate · Deutsch · ~£1.28 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.7709 (Sprach-Faktor aus 27 Karten) · Set +18% nachgeführt	3	4 mo	£1.28	1.36

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.28 · Σ g = 1.36

Measured error for this era×language (backtest): ±34 %

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

Ladder estimate · Français · ~£1.76 rot

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten)	3	4 mo	£1.76	3.41

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.76 · Σ g = 3.41

Measured error for this era×language (backtest): ±9 %

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

Ladder estimate · Italiano · ~£1.34 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.9041 (Sprach-Faktor aus 8 Karten)	3	4 mo	£1.34	1.76

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.34 · Σ g = 1.76

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

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

PSA Population

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

Recent sales · 4

2026-09-11	UNKNOWN	RAW NM	Carte Pokemon CAMERUPT 24/236 RARE Soleil et Lune 11 SL11 FR · eBay	£1.62
2026-06-07	EN	RAW NM	Pokemon Camerupt - 24/236 - Rare NM-Mint Unified Minds · eBay	£1.09
2026-05-08	EN	RAW NM	Camerupt - 24/236 - Rare Near Mint Unified Minds · eBay	£1.69
2026-04-12	EN	RAW NM	Camerupt 24/236 Rare Regular SM - Unified Minds NM · eBay	£1.77

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.