| ebay.nl | n=2 | €3,42 | +85% |
| ebay.com | n=16 | €1,85 | — |
How is this value calculated?
Recency-weighted trimmed median of 13 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 | €2,07 | 48.98 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.5779 (Sprach-Faktor aus 17 Karten) | 6 | 2 mo | €3,26 | 4.85 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten) | 6 | 2 mo | €2,67 | 4.03 |
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 × 1.0877 (Sprach-Faktor aus 28 Karten) · Set +11% nachgeführt | 6 | 2 mo | €2,40 | 15.3 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#233 · UR
#100 · SEC
#69 · U
#191 · UR
#92a · U
#92 · U
#192 · U
#158 · U
#59 · U
#SV107 · SR
#SV039 · SR
#SV119 · SR
#SV022 · SR
#72 · URFrequently asked questions
What will I get for Gym Trainer Shining Fates 68/72 if I want to sell quickly?
Half of all sales fell between €1,44 and €2,61, with a median of €1,85. 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 Gym Trainer Shining Fates 68/72 unrealistic?
The cheapest genuine sales were around €1,16. Offers well below €0,70 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.