| ebay.de | n=8 | $1.71 | +66% |
| ebay.co.uk | n=2 | $1.51 | +46% |
| ebay.com | n=9 | $1.03 | — |
How is this value calculated?
Recency-weighted trimmed median of 7 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 | 6 | 2 mo | $1.70 | 48.98 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8974 (Sprach-Faktor aus 68 Karten) | 6 | 2 mo | $1.54 | 1.81 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0793 (Sprach-Faktor aus 44 Karten) | 6 | 2 mo | $1.84 | 1.16 |
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 |
|---|---|---|---|---|
| en roh NM × 1.0439 (Sprach-Faktor aus 31 Karten) · Set -13% nachgeführt | 6 | 2 mo | $1.64 | 5.54 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#074 · C
#075 · C
#076 · C
#279 · SIR
#183 · SIR
#188 · HR
#201 · IR
#194
#237 · UR
#172 · UR
#070 · RR
#053 · RR
#094Frequently asked questions
What will I get for Bellibolt Obsidian Flames 077/197 if I want to sell quickly?
Half of all sales fell between $1.03 and $1.86, with a median of $1.69. 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 Bellibolt Obsidian Flames 077/197 unrealistic?
The cheapest genuine sales were around $1.01. Offers well below $0.61 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.