| ebay.nl | n=2 | $3.83 | +85% |
| ebay.de | n=2 | $2.30 | +11% |
| ebay.com | n=16 | $2.08 | — |
How is this value calculated?
Recency-weighted trimmed median of 17 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 | 17 | 2 mo | $2.08 | 138.78 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.4714 (Sprach-Faktor aus 29 Karten) | 17 | 2 mo | $3.05 | 1.44 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.4768 (Sprach-Faktor aus 7 Karten) | 17 | 2 mo | $3.06 | 0.69 |
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 × 1.1191 (Sprach-Faktor aus 308 Karten) | 17 | 2 mo | $2.32 | 10.42 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#233 · UR
#100 · SEC
#191 · UR
#192 · U
#92a · U
#92 · U
#69 · U
#158 · U
#59 · U
#SV107 · SR
#SV044 · SR
#SV039 · SR
#SV119 · 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 $1.56 and $2.93, with a median of $2.08. 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 $1.30. Offers well below $0.78 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.