How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| ja roh NM × 1.5935 (Sprach-Faktor aus 17 Karten) | 3 | 9 d | £9.52 | 3.07 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
| 2026-10-17 | JA | RAW NM | Pokemon TCG Slowking ex 086/071 Sv2p: Snow Hazard Holo Japan · eBay | £5.98 |
| 2026-10-12 | JA | RAW LP | Pokemon Card Slowking EX sv2p 086/071 SR Snow Hazard Japanes · eBay | £5.45 |
| 2026-10-10 | JA | RAW UNKNOWN | Pokemon Card Japanese Slowking ex SR 086/071 SV2P Snow Hazar · eBay | £6.94 |
| 2026-10-09 | JA | RAW UNKNOWN | Pokemon Card Slowking ex 086/071 SV2P Snow Hazard SR Japanes · eBay | £5.62 |
| 2026-10-07 | JA | RAW UNKNOWN | Slowking ex 086/071 Sv2p: Snow Hazard Holo (Japanese) · eBay | £5.05 |
| 2026-10-06 | JA | RAW NM | Slowking ex SR 086/071 Snow Hazard SV2P Pokemon Card Japanes · eBay | £6.43 |
| 2026-10-06 | JA | RAW NM | Pokemon Card Slowking EX sv2p 086/071 SR Snow Hazard Japanes · eBay | £5.93 |
| 2026-10-01 | JA | CGC 10 | Pokemon TCG CGC Pristine 10 Slowking ex 086/071 Snow Hazard · eBay | £26.17 |
| 2026-09-30 | JA | RAW UNKNOWN | Slowking ex 086/071 Sv2p: Snow Hazard Holo (Japanese) · eBay | £3.44 |
Frequently asked questions
What will I get for Slowking ex Snow Hazard 086/71 if I want to sell quickly?
Half of all sales fell between £5.45 and £5.98, with a median of £5.93. Selling fast lands you nearer the lower end; with patience, good photos and a complete title the upper end is achievable.
Below which price is an offer for Slowking ex Snow Hazard 086/71 unrealistic?
The cheapest genuine sales were around £5.05. Offers well below £3.03 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
How does Last Sold determine the market value?
Last Sold 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.