Market price
€8,61
How is this value calculated?
Ladder estimate · English
· ~€1,44
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 4 | 36 d | €1,45 | 32.65 |
| unknown LP ÷ 0.9159 × 0.8014 | 3 | 21 d | €1,35 | 3.47 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,44 · Σ g = 36.12
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€1,37
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.9272 (Sprach-Faktor aus 13 Karten) | 4 | 36 d | €1,35 | 1.32 |
| unknown LP ÷ 0.9159 × 0.8356 | 3 | 21 d | €1,41 | 1.08 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,37 · Σ g = 2.4
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€1,73
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 4 | 36 d | €1,73 | 3.54 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,73 · Σ g = 3.54
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€1,92
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.3424 (Sprach-Faktor aus 15 Karten) | 4 | 36 d | €1,95 | 7.78 |
| unknown LP ÷ 0.9159 × 1.0819 | 3 | 21 d | €1,83 | 2.61 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,92 · Σ g = 10.39
Measured error for this era×language (backtest): ±17 %
Gate not green — shown only here, never as the price.
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 2
| 2026-06-15 | EN | RAW LP | Acerola 4th Place 112a/147 League Promo Pokemon TCG Burning | €8,61 |
| 2026-06-08 | ES | CGC 9 | 2017 BURNING SHADOWS 2ND PLACE POKEMON LEAGUE CHALLENGE #112 | €33,44 |
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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