| ebay.de | n=13 | £2.08 | +25% |
| ebay.it | n=3 | £2.01 | +20% |
| ebay.fr | n=5 | £1.67 | — |
How is this value calculated?
Recency-weighted trimmed median of 10 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| de roh NM × 1.1158 (Sprach-Faktor aus 74 Karten) | 10 | 3 mo | £2.54 | 1.88 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 10 | 3 mo | £2.28 | 81.63 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| de roh NM × 1.369 (Sprach-Faktor aus 60 Karten) | 10 | 3 mo | £3.11 | 1.72 |
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| de roh NM × 1.3568 (Sprach-Faktor aus 44 Karten) | 10 | 3 mo | £3.09 | 1.25 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#230 · 
#233 · 
#226 · 
#234 · 
#232 · 
#237 · 
#223 · 
#231 · 
#241 · 
#239 · 
#227 · 
#229 · 
#236 · 
#240 · 
#195 · 
Frequently asked questions
What will I get for Team Star Grunt Scarlet & Violet 242/198 if I want to sell quickly?
Half of all sales fell between £1.36 and £2.50, with a median of £1.76. 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 Team Star Grunt Scarlet & Violet 242/198 unrealistic?
The cheapest genuine sales were around £0.84. Offers well below £0.50 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.