Dhelmise

Mega Evolution · 018/132 ·Common

Illustration: Haru Akasaka →

Market price

£0.74

Price history · RAW

2026-05-23 · £0.65 £0.99 · 2026-09-11

Price per print

🇬🇧 Normal · EN n=6 £0.74

How is this value calculated?

Ladder estimate · English · ~£0.74 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	3	3 mo	£0.74	24.49

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.74 · Σ g = 24.49

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

Ladder estimate · Deutsch · ~£0.71 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.9593 (Sprach-Faktor aus 86 Karten)	3	3 mo	£0.71	1.81

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.71 · Σ g = 1.81

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

Ladder estimate · Français · ~£1.05 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.4044 (Sprach-Faktor aus 68 Karten)	3	3 mo	£1.05	1.22

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.05 · Σ g = 1.22

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

Ladder estimate · Italiano · ~£0.84 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.138 (Sprach-Faktor aus 43 Karten)	3	3 mo	£0.84	2.45

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.84 · Σ g = 2.45

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

PSA Population

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

Recent sales · 6

2026-09-11	EN	RAW NM	Dhelmise 018/132 Common Mega Evolution Pokemon Near Mint · eBay	£0.99
2026-07-22	EN	RAW UNKNOWN	018/132 DHELMISE COMMON MEGA EVOLUTION POKEMON CARD · eBay	£0.99
2026-06-21	EN	RAW NM	Dhelmise 018/132 Common Mega Evolution Pokemon Near Mint · eBay	£0.73
2026-06-06	EN	RAW NM	Dhelmise - 018/132 - Common - Near Mint · eBay	£0.78
2026-05-25	EN	RAW NM	✨Pokemon TCG - Dhelmise - 018/132 - Common - Mega Evolution	£0.65
2026-05-23	EN	RAW UNKNOWN	Dhelmise - 018/132 - Common - Mega Evolution - New Pokemon	£0.85

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.