Pikachu

Name: Pikachu POP Series 2 16/17
Brand: Pokémon
SKU: pop2-16

POP Series 2 · 16/17 ·Common

Illustration: Yuka Morii → All Snowflake Stamp cards →

Pokémon Day €30,50 1 sales Snowflake Stamp €46,00 2 sales Normal €48,97 183 sales

Market price

€48,97

Price history · RAW

2026-05-04 · €30,00 €50,00 · 2026-07-23

How is this value calculated?

Ladder estimate · English · ~€48,97 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	29	32 d	€49,14	236.73
eigene LP-Verkäufe ÷ 0.6934	11	33 d	€59,55	3.87
eigene PSA9-Verkäufe ÷ 7.1277	8	56 d	€32,70	0.66
eigene PSA10-Verkäufe ÷ 26.787	2	3 mo	€47,16	0.26
de roh NM × 1.0303 (Sprach-Faktor aus 42 Karten)	5	2 mo	€22,52	1.62

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €48,97 · Σ g = 243.14

Measured error for this era×language (backtest): ±22 %

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

Ladder estimate · Deutsch · ~€22,84 rot

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	5	2 mo	€21,86	40.82
en roh NM × 0.9854 (Sprach-Faktor aus 42 Karten)	29	32 d	€48,42	2.4

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €22,84 · Σ g = 43.22

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

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

Ladder estimate · Français · ~€56,20 rot

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	2	2 mo	€58,55	16.33
en roh NM × 1.0288 (Sprach-Faktor aus 9 Karten)	29	32 d	€50,55	6.33

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €56,20 · Σ g = 22.66

Measured error for this era×language (backtest): ±2 %

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

PSA Population

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

Recent sales · 2

2026-07-23	UNKNOWN	RAW UNKNOWN	Pokemon Karte Pikachu Lv.15 (DPPR 16) DP Black Star Promos S	€50,00
2026-05-04	DE	RAW NM	Pokemon Karten Promo Diamant Perl DP16 Pikachu Stamp Schneef	€30,00

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.