Hippopotas
Market price
€1,38
Price history · RAW
2026-05-07 · €1,19
€3,45 · 2026-07-13
Price per print
🇬🇧
Normal · EN
n=2
€1,38
How is this value calculated?
Ladder estimate · English
· ~€1,38
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 50 d | €1,38 | 24.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,38 · Σ g = 24.49
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Deutsch
· ~€2,00
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.4515 (Sprach-Faktor aus 33 Karten) | 3 | 50 d | €2,00 | 2.25 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,00 · Σ g = 2.25
Measured error for this era×language (backtest): ±43 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€1,71
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2403 (Sprach-Faktor aus 19 Karten) | 3 | 50 d | €1,71 | 2.17 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,71 · Σ g = 2.17
Measured error for this era×language (backtest): ±12 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€1,79
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2988 (Sprach-Faktor aus 11 Karten) | 3 | 50 d | €1,79 | 12.93 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,79 · Σ g = 12.93
Measured error for this era×language (backtest): ±14 %
Gate not green — shown only here, never as the price.
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 3
| 2026-07-13 | EN | RAW NM | Hippopotas 83/162 Common BREAKthrough Pokemon Near Mint | €1,19 |
| 2026-05-26 | EN | RAW NM | TQG 9 Mint 2015 Pokemon ENG Hippopotas #XY-Bt 83/162 C | €3,45 |
| 2026-05-07 | ES | RAW NM | Hippopotas - 83/162 - Common - Near Mint - BREAKThrough Se a | €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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