| ebay.es | n=23 | £34.34 | +33% |
| ebay.it | n=14 | £32.24 | +25% |
| ebay.de | n=40 | £31.52 | +22% |
| ebay.fr | n=11 | £30.46 | +18% |
| ebay.co.uk | n=54 | £26.44 | +3% |
| ebay.nl | n=2 | £25.86 | — |
| ebay.com | n=198 | £25.76 | — |
How is this value calculated?
Recency-weighted trimmed median of 113 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 | 115 | 13 d | £26.94 | 938.78 |
| eigene LP-Verkäufe ÷ 0.9242 | 4 | 10 d | £42.39 | 4.65 |
| eigene PSA8-Verkäufe ÷ 1.3836 | 8 | 3 mo | £18.10 | 1.11 |
| eigene PSA9-Verkäufe ÷ 2.2337 | 38 | 49 d | £16.59 | 1.03 |
| eigene PSA10-Verkäufe ÷ 7.676 | 76 | 28 d | £18.12 | 0.27 |
| it roh NM × 0.8097 (Sprach-Faktor aus 29 Karten) | 5 | 2 mo | £29.43 | 5.84 |
| de roh NM × 1.0677 (Sprach-Faktor aus 101 Karten) | 8 | 16 d | £22.97 | 2.38 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 8 | 16 d | £21.50 | 65.31 |
| it roh NM × 0.8843 (Sprach-Faktor aus 24 Karten) | 5 | 2 mo | £32.14 | 3.85 |
| en roh NM × 0.9366 (Sprach-Faktor aus 101 Karten) | 115 | 13 d | £25.23 | 1.77 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| de roh NM × 1.829 (Sprach-Faktor aus 48 Karten) | 8 | 16 d | £39.34 | 2.97 |
| en roh NM × 1.8048 (Sprach-Faktor aus 51 Karten) | 115 | 13 d | £48.61 | 2.36 |
| it roh NM × 1.3843 (Sprach-Faktor aus 19 Karten) · Set +46% nachgeführt | 5 | 2 mo | £65.14 | 1.18 |
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 |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 5 | 2 mo | £36.35 | 40.82 |
| en roh NM × 1.2351 (Sprach-Faktor aus 29 Karten) | 115 | 13 d | £33.26 | 8.83 |
| de roh NM × 1.1328 (Sprach-Faktor aus 24 Karten) | 8 | 16 d | £24.36 | 4.61 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#149 · HR
#SL7 · R
#134 · UR
#105 · HR
#186 · UR
#9 · HR
#227 · SEC
#15 · R
#94 · UR
#113 · LEG
#114 · LEG
#207 · UR
#HGSS02 · CFrequently asked questions
Is it worth grading Lugia VSTAR Silver Tempest 202/195?
A PSA 10 currently sells for about £139.12, raw the card sits at £26.87 — 5,2× as much. Of 5.730 copies already graded, 51 % received a 10 and 35 % a 9. Mathematically, submitting returns £90.88 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. The grade distribution comes from the PSA Population Report; people pre-sort before submitting, so your own hit rate may differ.
Auction or Buy It Now — which gets more for Lugia VSTAR Silver Tempest 202/195?
Across 92 auctions the median was £25.23, across 275 fixed-price sales £29.85. Fixed price therefore fetched about 18 % more — for this card patience with a set price is the better route.
What will I get for Lugia VSTAR Silver Tempest 202/195 if I want to sell quickly?
Half of all sales fell between £22.92 and £31.23, with a median of £26.39. 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 Lugia VSTAR Silver Tempest 202/195 unrealistic?
The cheapest genuine sales were around £18.31. Offers well below £10.98 are typically fakes, mislabelled cards or a different variant — ask for photos of all four borders and a close-up of the surface.
Is the English or the German Lugia VSTAR Silver Tempest 202/195 worth more?
From real sales: English £25.98 (308), German £20.97 (10). English fetches about 24 % more.
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.