| ebay.es | n=2 | £1.65 | +112% |
| ebay.nl | n=2 | £1.30 | +67% |
| ebay.com | n=5 | £0.78 | — |
How is this value calculated?
Recency-weighted trimmed median of 6 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
No PSA numbers for this print yet — in any language.
| 2026-07-23 | EN | RAW NM | Crushing Hammer 168/198 Reverse Holo Pokemon Scarlet & Viole · eBay | £1.11 |
| 2026-06-23 | DE | RAW NM | Schmetterhammer 168/198 Scarlet & Violet Pokemon Reverse Hol · eBay | £0.85 |
| 2026-06-19 | EN | RAW NM | Crushing Hammer 168/198 REVERSE HOLO Scarlet & Violet NM · eBay | £1.54 |
| 2026-06-17 | EN | RAW NM | Pokemon TCG * Scarlet & Violet * 168/198 Crushing Hammer REV · eBay | £1.93 |
| 2026-06-14 | EN | RAW UNKNOWN | Crushing Hammer 168/198 - Scarlet & Violet Base Set Reverse · eBay | £1.76 |
| 2026-06-08 | EN | RAW NM | CRUSHING HAMMER 168/198 COMMON SCARLET & VIOLET POKEMON REVE · eBay | £1.76 |
| 2026-06-06 | EN | RAW NM | Crushing Hammer Reverse Holo Common SV01: Scarlet & Violet B · eBay | £0.72 |
| 2026-06-05 | EN | RAW NM | Crushing Hammer Reverse Holo SV01: Scarlet & Violet Base Set · eBay | £0.78 |
| 2026-05-11 | EN | RAW UNKNOWN | Reverse Holo Crushing Hammer 168/198 Common Scarlet & Violet · eBay | £0.78 |
Frequently asked questions
What will I get for Crushing Hammer · Reverse Holo Scarlet & Violet 168/198 if I want to sell quickly?
Half of all sales fell between £0.78 and £1.76, with a median of £1.11. 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 Crushing Hammer · Reverse Holo Scarlet & Violet 168/198 unrealistic?
The cheapest genuine sales were around £0.78. Offers well below £0.47 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 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.
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