Deerling

White Flare · 006/86 ·Common

Illustration: Narano → All Poké Ball cards →

Master Ball £4.46 14 sales Poké Ball £1.56 23 sales Normal £0.78 18 sales

Market price

£0.78

Price history · RAW

2026-04-25 · £1.22 £1.99 · 2026-05-17

How is this value calculated?

Ladder estimate · English · ~£0.78 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	8	2 mo	£0.78	65.31

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.78 · Σ g = 65.31

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 × 0.9243 (Sprach-Faktor aus 97 Karten) · Set +20% nachgeführt	8	2 mo	£0.82	5.76

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.82 · Σ g = 5.76

Measured error for this era×language (backtest): ±19 %

Ladder estimate · Français · ~£0.91 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.0849 (Sprach-Faktor aus 58 Karten) · Set +10% nachgeführt	8	2 mo	£0.91	2.41

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.91 · Σ g = 2.41

Measured error for this era×language (backtest): ±25 %

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

Ladder estimate · Italiano · ~£0.73 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.8717 (Sprach-Faktor aus 37 Karten) · Set +10% nachgeführt	8	2 mo	£0.73	3.17

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.73 · Σ g = 3.17

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

PSA Population

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

Recent sales · 4

2026-05-17	EN	RAW UNKNOWN	Pokemon S&V White Flare Deerling 006/086 Pokeball Reverse Ho	£1.22
2026-05-03	EN	RAW NM	Deerling 006/086 Common White Flare Pokemon Reverse Holo pok	£1.93
2026-04-29	EN	RAW UNKNOWN	Pokemon TCG: White Flare - PokeBall Reverse Holo - 006/086 -	£1.99
2026-04-25	JA	RAW NM	Deerling 006/086 Poke Ball White Flare Pokemon Japanese NM	£1.88

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.