| ebay.de | n=12 | $18.33 | +41% |
| ebay.com | n=28 | $13.00 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 9 | 19 d | $25.97 | 73.47 |
| eigene LP-Verkäufe ÷ 0.9304 | 5 | 26 d | $27.71 | 6.65 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.382 (Sprach-Faktor aus 7 Karten) | 9 | 19 d | $35.89 | 2.66 |
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 9 | 19 d | $30.89 | 3.76 |
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0871 (Sprach-Faktor aus 97 Karten) | 9 | 19 d | $28.23 | 7.66 |
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#55 · U
#224 · UR
#260 · SEC
#223 · UR
#249 · SEC
#158 · UR
#SM125
#121 · UR
#230 · UR
#56 · UR
#108 · R
#160 · UR
#138 · SECFrequently asked questions
What will I get for Naganadel GX Forbidden Light 134/131 if I want to sell quickly?
Half of all sales fell between $11.22 and $20.06, with a median of $15.75. 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 Naganadel GX Forbidden Light 134/131 unrealistic?
The cheapest genuine sales were around $9.25. Offers well below $5.55 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.