| ebay.co.uk | n=26 | £15.73 | +99% |
| ebay.de | n=32 | £14.34 | +82% |
| ebay.it | n=12 | £11.38 | +44% |
| ebay.es | n=26 | £10.52 | +33% |
| ebay.nl | n=9 | £8.87 | +12% |
| ebay.com | n=64 | £7.89 | — |
How is this value calculated?
Recency-weighted trimmed median of 44 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 | 45 | 24 d | £11.26 | 367.35 |
| eigene LP-Verkäufe ÷ 0.9523 | 4 | 40 d | £20.34 | 5.98 |
| eigene PSA10-Verkäufe ÷ 8.4276 | 2 | 5 mo | £4.21 | 0.23 |
| es roh NM × 0.8012 (Sprach-Faktor aus 35 Karten) | 5 | 3 mo | £12.10 | 9.61 |
| unknown roh NM × 0.7193 (Sprach-Faktor aus 38 Karten) | 5 | 38 d | £26.84 | 4.92 |
| de roh NM × 0.8143 (Sprach-Faktor aus 46 Karten) | 12 | 31 d | £21.36 | 2.41 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 12 | 31 d | £26.24 | 97.96 |
| unknown roh NM × 0.9778 (Sprach-Faktor aus 30 Karten) | 5 | 38 d | £36.49 | 2.47 |
| en roh NM × 1.2281 (Sprach-Faktor aus 46 Karten) | 45 | 24 d | £13.82 | 1.6 |
| es roh NM × 0.9321 (Sprach-Faktor aus 27 Karten) | 5 | 3 mo | £14.08 | 1.32 |
Measured error for this era×language (backtest): ±22 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| es roh NM × 1.1679 (Sprach-Faktor aus 15 Karten) | 5 | 3 mo | £17.65 | 3.94 |
| en roh NM × 1.283 (Sprach-Faktor aus 26 Karten) | 45 | 24 d | £14.44 | 3.34 |
| unknown roh NM × 0.985 (Sprach-Faktor aus 17 Karten) | 5 | 38 d | £36.75 | 2.98 |
| de roh NM × 0.9657 (Sprach-Faktor aus 23 Karten) | 12 | 31 d | £25.34 | 2.18 |
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 |
|---|---|---|---|---|
| unknown roh NM × 0.9039 (Sprach-Faktor aus 20 Karten) | 5 | 38 d | £33.73 | 8.6 |
| es roh NM × 0.9927 (Sprach-Faktor aus 17 Karten) | 5 | 3 mo | £15.00 | 3.21 |
| en roh NM × 1.1952 (Sprach-Faktor aus 25 Karten) | 45 | 24 d | £13.45 | 3.11 |
| de roh NM × 0.9083 (Sprach-Faktor aus 22 Karten) | 12 | 31 d | £23.83 | 2.53 |
Measured error for this era×language (backtest): ±18 %
No PSA numbers for this print yet — in any language.
#224 · SEC
#SM192
#203 · UR
#120 · UR
#SM181
#SM178 · R
#129 · R
#075 · UR
#048 · VMAX
#104
#153 · RR
#046 · RH
#189 · RH
#104 · HRFrequently asked questions
Is it worth grading Melmetal VMAX Pokémon GO 080/78?
A PSA 10 currently sells for about £35.49, raw the card sits at £11.54 — 3,1× as much. Mathematically, submitting returns £35.49 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.
Auction or Buy It Now — which gets more for Melmetal VMAX Pokémon GO 080/78?
Across 10 auctions the median was £7.06, across 93 fixed-price sales £12.81. Fixed price therefore fetched about 81 % more — for this card patience with a set price is the better route.
What will I get for Melmetal VMAX Pokémon GO 080/78 if I want to sell quickly?
Half of all sales fell between £7.89 and £14.62, with a median of £10.02. 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 Melmetal VMAX Pokémon GO 080/78 unrealistic?
The cheapest genuine sales were around £6.79. Offers well below £4.07 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 Melmetal VMAX Pokémon GO 080/78 worth more?
From real sales: German £10.79 (11), English £10.72 (119). The difference is small — language barely matters here.
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.