Market price
€2,68
Price history · RAW
2026-05-02 · €1,41
€4,29 · 2026-07-03
Price per print
🇬🇧
Normal · EN
n=1
€2,68
How is this value calculated?
Ladder estimate · English
· ~€2,68
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene LP-Verkäufe ÷ 0.8778 | 3 | 58 d | €2,68 | 8.9 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,68 · Σ g = 8.9
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Deutsch
· ~€3,89
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en LP ÷ 0.8778 × 1.4515 | 3 | 58 d | €3,89 | 1.94 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €3,89 · Σ g = 1.94
Measured error for this era×language (backtest): ±43 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€3,32
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en LP ÷ 0.8778 × 1.2403 | 3 | 58 d | €3,32 | 1.88 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €3,32 · Σ g = 1.88
Measured error for this era×language (backtest): ±12 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€2,91
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en LP ÷ 0.8778 × 1.0872 | 3 | 58 d | €2,91 | 5.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,91 · Σ g = 5.49
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 · 4
| 2026-07-03 | EN | RAW LP | Bunnelby 30/39 Kalos Starter Set Pokemon Lightly Played | €1,95 |
| 2026-06-23 | EN | RAW NM | Pokémon TCG Kalos Starter Set "Bunnelby" 30/39 COMMON NM | €1,41 |
| 2026-05-23 | EN | RAW LP | Bunnelby Kalos Starter Set 30/39 LP | €4,29 |
| 2026-05-02 | EN | RAW LP | Pokemon TCG Card 2013 XY Kalos Starter Set Bunnelby 30/39 No | €1,82 |
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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.