Raichu

Arceus · 27/99 ·Rare

Illustration: Suwama Chiaki → All Staff Stamp cards →

Staff Stamp £776.76 12 sales Normal £3.83 154 sales

Market price

£541.22

Price history · RAW

2026-01-23 · £217.70 £7,313 · 2026-08-24

Cross-market · RAW median per marketplace

Spread vs. cheapest market — before shipping/duty/fees

ebay.com	n=3	£801.92	+24%
ebay.co.uk	n=2	£644.33	—

How is this value calculated?

Ladder estimate · English · ~£3,071 gelb staff

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	3	5 mo	£3,071	24.49

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £3,071 · Σ g = 24.49

Measured error for this era×language (backtest): ±24 %

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

PSA Population

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

Recent sales · 12

2026-08-24	EN	RAW UNKNOWN	2009 Pokemon Raichu Staff Prerelease Stamped Nintendo Promo · eBay	£801.92
2026-08-23	EN	RAW LP	RAICHU (PRERELEASE) [STAFF] 27/99 PROMO NINTENDO PROMOS POKE · eBay	£312.63
2026-07-20	EN	PSA 7	Pokemon Platinum Arceus 27/99 Raichu Prerelease STAFF PSA 7	£756.47
2026-07-13	EN	CGC 9	2009 Pokemon Raichu “Prerelease - Staff” Stamped” Arceus 27/	£468.93
2026-06-30	EN	RAW UNKNOWN	2009 Pokemon Arceus Staff Prerelease RAICHU Stamped Promo 27	£928.53
2026-06-26	EN	PSA 9	Pokemon Platinum Arceus 27/99 Raichu Prerelease STAFF PSA 9	£1,017
2026-05-31	EN	PSA 9	RAICHU ARCEUS-PRERELEASE-STAFF POKEMON PLATINUM ARCEUS 2009	£812.07
2026-05-15	EN	RAW NM	Pokemon SEALED Raichu Prerelease STAFF Promo Pack 27/99 DP A	£7,313
2026-05-09	EN	RAW NM	Pokemon Raichu Prerelease Staff Promo Card 27/99 Arceus	£360.13
2026-04-13	EN	PSA 9	2009 Pokemon Platinum Arceus Prerelease Staff Raichu #27 PSA	£338.52
2026-01-23	EN	RAW NM	Raichu 27/99 Platinum Arceus Prerelease STAFF Pokemon cards	£217.70
2025-10-13	EN	PSA 9	2009 Pokemon Platinum Arceus Prerelease Staff Raichu #27 PSA	£206.05

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.