| ebay.com | n=3 | €239,50 | +214% |
| ebay.de | n=4 | €76,29 | — |
How is this value calculated?
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 2 mo | €253,71 | 24.49 |
| eigene LP-Verkäufe ÷ 0.8142 | 5 | 2 mo | €229,15 | 6.09 |
| eigene PSA8-Verkäufe ÷ 2.1219 | 7 | 27 d | €196,27 | 2.61 |
| eigene PSA7-Verkäufe ÷ 1.6816 | 2 | 40 d | €107,54 | 2.5 |
| eigene PSA9-Verkäufe ÷ 3.3071 | 4 | 33 d | €196,89 | 1.8 |
| eigene PSA10-Verkäufe ÷ 13.744 | 6 | 35 d | €211,31 | 0.23 |
Measured error for this era×language (backtest): ±17 %
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.7825 (Sprach-Faktor aus 9 Karten) | 3 | 2 mo | €198,53 | 8.71 |
Measured error for this era×language (backtest): ±24 %
Gate not green — shown only here, never as the price.
No PSA numbers for this print yet — in any language.
#79 · C
#197 · UR
#96 · R
#196 · UR
#220 · SEC
#61 · UR
#23 · R
#16 · HR
#11 · HR
#157 · SEC
#26 · R
#16 · HR
#13 · HR
#138 · URFrequently asked questions
Is it worth grading Muk Aquapolis H17/H32?
A PSA 10 currently sells for about €2.303,64, raw the card sits at €140,63 — 16,4× as much. Of 645 copies already graded, 12 % received a 10 and 30 % a 9. Mathematically, submitting returns €825,13 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 Muk Aquapolis H17/H32?
Across 8 auctions the median was €262,81, across 12 fixed-price sales €481,19. Fixed price therefore fetched about 83 % more — for this card patience with a set price is the better route.
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.