Kingambit

Ascended Heroes · 148/217 ·Rare Holo

Illustration: Teeziro → All Poké Ball cards →

Poké Ball €0,92 79 sales Holo €0,95 76 sales

Market price

€0,95

Price history · RAW

2026-05-06 · €0,01 €1,63 · 2026-06-02

How is this value calculated?

Ladder estimate · English · ~€0,95 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	24	28 d	€0,92	195.92
unknown roh NM × 0.9048 (Sprach-Faktor aus 118 Karten)	24	28 d	€1,73	11.14

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,95 · Σ g = 207.06

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

Ladder estimate · Deutsch · ~€1,27 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
unknown roh NM × 0.8449 (Sprach-Faktor aus 107 Karten)	24	28 d	€1,61	6.76
en roh NM × 0.8274 (Sprach-Faktor aus 148 Karten)	24	28 d	€0,76	3.17

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,27 · Σ g = 9.93

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

Ladder estimate · Français · ~€1,35 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.1471 (Sprach-Faktor aus 129 Karten)	24	28 d	€1,06	16.07
unknown roh NM × 1.0841 (Sprach-Faktor aus 101 Karten)	24	28 d	€2,07	9.19

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,35 · Σ g = 25.26

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

Ladder estimate · Italiano · ~€1,31 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
unknown roh NM × 0.9203 (Sprach-Faktor aus 82 Karten)	24	28 d	€1,76	8.98
en roh NM × 1.0374 (Sprach-Faktor aus 93 Karten)	24	28 d	€0,96	8.52

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,31 · Σ g = 17.5

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

PSA Population

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

Recent sales · 2

2026-06-02	UNKNOWN	RAW UNKNOWN	Kingambit 148/217 Pokeball Reverse Holo Ascended Heroes Poke	€0,01
2026-05-06	UNKNOWN	RAW UNKNOWN	Kingambit (Poke Ball) 148/217 Ascended Heroes Pokemon Revers	€1,63

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.