Cottonee
Market price
€1,73
Price history · RAW
2026-05-11 · €0,09
€0,92 · 2026-07-14
Price per print
🇬🇧
Normal · EN
n=4
€0,39
How is this value calculated?
Ladder estimate · English
· ~€0,39
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 32 d | €0,39 | 24.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,39 · Σ g = 24.49
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€0,35
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9029 (Sprach-Faktor aus 139 Karten) | 3 | 32 d | €0,35 | 2.34 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,35 · Σ g = 2.34
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Français
· ~€0,42
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.079 (Sprach-Faktor aus 24 Karten) | 3 | 32 d | €0,42 | 3.16 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,42 · Σ g = 3.16
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€0,33
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8646 (Sprach-Faktor aus 35 Karten) | 3 | 32 d | €0,33 | 3.58 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,33 · Σ g = 3.58
Measured error for this era×language (backtest): ±17 %
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 4
| 2026-07-14 | EN | RAW NM | Cottonee 034/091 Common Paldean Fates Pokemon Near Mint Regu | €0,09 |
| 2026-07-13 | EN | RAW NM | Cottonee 034/091 Common Paldean Fates Pokemon Near Mint | €0,87 |
| 2026-05-19 | EN | RAW UNKNOWN | Cottonee 034/091 - Normal Common - PAF | €0,92 |
| 2026-05-11 | EN | RAW NM | Cottonee Normal Common SV: Paldean Fates 034/091 NM | €0,84 |
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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