| ebay.nl | n=2 | €8,84 | +195% |
| ebay.co.uk | n=8 | €5,14 | +71% |
| ebay.es | n=31 | €4,97 | +66% |
| ebay.de | n=65 | €4,18 | +39% |
| ebay.com | n=56 | €3,50 | +17% |
| ebay.fr | n=5 | €3,00 | — |
この価格の計算方法
| 根拠 | 件数 | 経過 | 値 vᵢ | 重み gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9854 (Sprach-Faktor aus 42 Karten) | 12 | 38 日 | €5,84 | 2.37 |
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 | 12 | 38 日 | €5,92 | 97.96 |
| eigene LP-Verkäufe ÷ 0.7495 | 17 | 34 日 | €4,08 | 2.9 |
| unknown roh NM × 0.9027 (Sprach-Faktor aus 12 Karten) | 11 | 40 日 | €6,34 | 2.46 |
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) | 12 | 38 日 | €6,09 | 6.1 |
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.
#91 · HR
#92 · HR
#90 · HR
#83 · HR
#93 · HR
#87 · HR
#5 · HR
#85 · HR
#84 · HR
#86 · HR
#7 · HR
#8 · HR
#14 · HR
#1 · HRFrequently asked questions
Auction or Buy It Now — which gets more for Fieldworker Legend Maker 73/92?
Across 10 auctions the median was €1,96, across 71 fixed-price sales €4,36. Fixed price therefore fetched about 122 % more — for this card patience with a set price is the better route.
What will I get for Fieldworker Legend Maker 73/92 if I want to sell quickly?
Half of all sales fell between €2,62 and €5,39, with a median of €4,03. 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 Fieldworker Legend Maker 73/92 unrealistic?
The cheapest genuine sales were around €1,92. Offers well below €1,15 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.