Harlequin
| ebay.fr | n=3 | $1.80 | +74% |
| ebay.com | n=15 | $1.04 | — |
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 |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 10 | 3 mo | $1.24 | 81.63 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9161 (Sprach-Faktor aus 97 Karten) · Set +20% nachgeführt | 10 | 3 mo | $1.28 | 5.16 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0879 (Sprach-Faktor aus 60 Karten) | 10 | 3 mo | $1.35 | 3.78 |
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 × 0.8675 (Sprach-Faktor aus 37 Karten) | 10 | 3 mo | $1.07 | 3.0 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
#163 · UR
#083 · U
#172 · BWR
#173 · BWR
#166 · SIR
#169 · SIR
#105 · IR
#103 · IR
#143 · IR
#167 · SIR
#171 · SIR
#107 · IR
#137 · IR
#113 · IRFrequently asked questions
What will I get for Harlequin White Flare 083/86 if I want to sell quickly?
Half of all sales fell between $1.04 and $1.57, with a median of $1.13. 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 Harlequin White Flare 083/86 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.