| ebay.nl | n=3 | €78,40 | +58% |
| ebay.co.uk | n=9 | €70,00 | +41% |
| ebay.es | n=13 | €59,90 | +20% |
| ebay.com | n=46 | €51,30 | +3% |
| ebay.de | n=6 | €49,77 | — |
この価格の計算方法
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 0.6422 (Sprach-Faktor aus 5 Karten) | 11 | 42 日 | €43,55 | 2.16 |
実測誤差（時代×言語のバックテスト）: ±20 %
ゲートが緑でないため価格としては表示されません。
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 11 | 42 日 | €67,81 | 89.8 |
| eigene LP-Verkäufe ÷ 0.8694 | 8 | 2 ヶ月 | €74,75 | 6.34 |
| eigene PSA8-Verkäufe ÷ 2.353 | 6 | 59 日 | €61,29 | 4.19 |
| eigene PSA9-Verkäufe ÷ 4.541 | 6 | 2 ヶ月 | €72,83 | 1.38 |
実測誤差（時代×言語のバックテスト）: ±22 %
ゲートが緑でないため価格としては表示されません。
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0288 (Sprach-Faktor aus 9 Karten) | 11 | 42 日 | €69,76 | 6.07 |
実測誤差（時代×言語のバックテスト）: ±2 %
ゲートが緑でないため価格としては表示されません。
No PSA numbers for this print yet — in any language.
#110 · HR
#173 · SEC
#156 · UR
#6 · HR
#179 · IR
#47 · R
#DP22 · C
#22 · R
#59 · U
#95b
#95a
#27 · R
#56 · UR
#67 · URFrequently asked questions
Auction or Buy It Now — which gets more for Mr. Mime ex FireRed & LeafGreen 111/112?
Across 29 auctions the median was €61,82, across 53 fixed-price sales €60,36. There is no meaningful difference — what matters here is how fast you want to sell.
What will I get for Mr. Mime ex FireRed & LeafGreen 111/112 if I want to sell quickly?
Half of all sales fell between €35,08 and €78,40, with a median of €54,22. 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 Mr. Mime ex FireRed & LeafGreen 111/112 unrealistic?
The cheapest genuine sales were around €17,53. Offers well below €10,52 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.