How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene PSA9-Verkäufe ÷ 2.1571 | 5 | 55 d | €97,09 | 0.64 |
Measured error for this era×language (backtest): ±16 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en PSA9 ÷ 2.1571 × 0.9703 | 5 | 55 d | €94,21 | 0.54 |
Measured error for this era×language (backtest): ±19 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en PSA9 ÷ 2.1571 × 1.3369 · Set +21% nachgeführt | 5 | 55 d | €146,87 | 0.47 |
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 PSA9 ÷ 2.1571 × 1.1207 · Set -17% nachgeführt | 5 | 55 d | €96,67 | 0.57 |
Measured error for this era×language (backtest): ±17 %
No PSA numbers for this print yet — in any language.
| 2026-06-25 | EN | RAW UNKNOWN | 2025 Pokémon Worlds Anaheim Staff Stamped Paradise Resort Pr | €264,50 |
| 2026-06-22 | EN | RAW UNKNOWN | Pokemon Anaheim Worlds 2025 Staff stamped Paradise Resort bl | €248,78 |
| 2026-05-29 | EN | PSA 10 | PSA 10 Pokemon Worlds 2025 STAFF Paradise Resort SVP 224 Ana | €2.066,46 |
| 2026-05-23 | EN | RAW UNKNOWN | 2025 Pokémon Worlds Anaheim Staff Stamped Paradise Resort Pr | €310,47 |
| 2026-04-26 | EN | RAW NM | Pokemon Paradise Resort STAFF SVP224 NM English Card | €300,57 |
Frequently asked questions
Is it worth grading Paradise Resort SVP Black Star Promos 224/225?
A PSA 10 currently sells for about €2.066,46, raw the card sits at €300,57 — 6,9× as much. Mathematically, submitting returns €2.066,46 on average, before fees and shipping. Rule of thumb: submit when the value at a realistic grade is at least double the raw value — which is the case here. Centering decides it: an off-centre card will not get a 10.
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.
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