Scraggy
| ebay.de | n=2 | $9.41 | +550% |
| ebay.com | n=47 | $1.45 | — |
How is this value calculated?
Recency-weighted trimmed median of 36 NM sales (RAW; outliers trimmed against the median, newer sales weigh more, dynamic half-life).
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 34 | 7 d | $1.46 | 277.55 |
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0482 (Sprach-Faktor aus 68 Karten) | 34 | 7 d | $1.53 | 2.48 |
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2614 (Sprach-Faktor aus 50 Karten) | 34 | 7 d | $1.84 | 6.3 |
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8322 (Sprach-Faktor aus 9 Karten) | 34 | 7 d | $1.21 | 25.19 |
Measured error for this era×language (backtest): ±169 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#138 · 
#BW25 · 
#85 · 
#66 · 
#50
#134 · 
#58 · 
#67 · 
#137 · 
#68 · Frequently asked questions
What will I get for Scraggy 30th Celebration 094/128 if I want to sell quickly?
Half of all sales fell between $1.23 and $1.93, with a median of $1.46. 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 Scraggy 30th Celebration 094/128 unrealistic?
The cheapest genuine sales were around $0.98. Offers well below $0.59 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.