Centiskorch

Mega Evolution · 030/132 ·Uncommon

Illustration: Shiburingaru →

Market price

£0.85

Price history · RAW

2026-05-03 · £0.08 £1.38 · 2026-07-25

Price per print

🇬🇧 Normal · EN n=4 £0.85

How is this value calculated?

Ladder estimate · English · ~£0.85 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	3	2 mo	£0.85	24.49

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.85 · Σ g = 24.49

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

Ladder estimate · Deutsch · ~£0.82 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.9531 (Sprach-Faktor aus 86 Karten)	3	2 mo	£0.82	1.84

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.82 · Σ g = 1.84

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

Ladder estimate · Français · ~£1.22 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.4289 (Sprach-Faktor aus 68 Karten)	3	2 mo	£1.22	1.1

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.22 · Σ g = 1.1

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

Ladder estimate · Italiano · ~£0.97 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.138 (Sprach-Faktor aus 43 Karten)	3	2 mo	£0.97	2.75

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.97 · Σ g = 2.75

Measured error for this era×language (backtest): ±15 %

PSA Population

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

Recent sales · 6

2026-07-25	EN	RAW NM	Centiskorch 030/132 Uncommon Mega Evolution Pokemon NM · eBay	£0.98
2026-07-23	EN	RAW UNKNOWN	Pokemon Centiskorch 030/132 Mega Evolution · eBay	£1.38
2026-07-11	EN	RAW NM	Centiskorch 030/132 Uncommon Mega Evolution Pokemon Near Min · eBay	£0.74
2026-05-25	EN	RAW NM	Centiskorch 030/132 Uncommon Mega Evolution Pokemon Near Min · eBay	£0.73
2026-05-03	EN	RAW LP	Centiskorch Normal 030/132 2025 Fire LP ME01: Mega Evolution	£0.11
2026-05-03	EN	RAW LP	Centiskorch Normal 030/132 2025 Fire LP ME01: Mega Evolution	£0.05

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.