Suspicious Food Tin
Market price
€2,23
Price history · RAW
2026-05-30 · €1,39
€1,63 · 2026-07-25
Price per print
🇬🇧
Normal · EN
n=3
€2,23
How is this value calculated?
Ladder estimate · English
· ~€2,23
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 22 | 31 d | €2,23 | 179.59 |
| eigene PSA10-Verkäufe ÷ 7.874 | 4 | 37 d | €3,22 | 0.16 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,23 · Σ g = 179.75
Measured error for this era×language (backtest): ±17 %
Ladder estimate · Deutsch
· ~€2,30
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0301 (Sprach-Faktor aus 723 Karten) | 22 | 31 d | €2,30 | 4.79 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,30 · Σ g = 4.79
Measured error for this era×language (backtest): ±22 %
Ladder estimate · Français
· ~€2,88
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten) | 22 | 31 d | €2,88 | 4.29 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,88 · Σ g = 4.29
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€2,49
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1191 (Sprach-Faktor aus 308 Karten) | 22 | 31 d | €2,49 | 10.6 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,49 · Σ g = 10.6
Measured error for this era×language (backtest): ±18 %
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 3
| 2026-07-25 | EN | RAW NM | Suspicious Food Tin 066/073 Uncommon Champion's Path Pokemon | €1,63 |
| 2026-06-10 | EN | RAW NM | POKEMON CHAMPION'S PATH SUSPICIOUS FOOD TIN 066/073 NM/MINT | €1,39 |
| 2026-05-30 | EN | RAW NM | Suspicious Food Tin 066/073 Uncommon Near Mint Pokemon Champ | €1,57 |
FAQ
Frequently asked questions
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.
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