Lightning Energy
Market price
€1,99
Price history · RAW
2026-04-29 · €1,18
€1,85 · 2026-05-20
Price per print
🇬🇧
Normal · EN
n=3
€1,99
How is this value calculated?
Ladder estimate · English
· ~€1,99
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 9 | 27 d | €1,73 | 73.47 |
| eigene LP-Verkäufe ÷ 0.9693 | 3 | 35 d | €2,98 | 25.08 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,99 · Σ g = 98.55
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€1,53
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.8856 (Sprach-Faktor aus 1557 Karten) | 9 | 27 d | €1,53 | 4.93 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,53 · Σ g = 4.93
Measured error for this era×language (backtest): ±19 %
Ladder estimate · Français
· ~€2,15
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2407 (Sprach-Faktor aus 811 Karten) | 9 | 27 d | €2,15 | 2.59 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €2,15 · Σ g = 2.59
Measured error for this era×language (backtest): ±25 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€1,81
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0476 (Sprach-Faktor aus 581 Karten) | 9 | 27 d | €1,81 | 6.45 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,81 · Σ g = 6.45
Measured error for this era×language (backtest): ±17 %
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 3
| 2026-05-20 | EN | RAW NM | Basic Lightning Energy [#020] - Holo NM/M - Pokémon TCG: Sca | €1,73 |
| 2026-04-30 | EN | RAW UNKNOWN | Pokémon TCG - Basic Lightning Energy - 2025 Scarlet & Violet | €1,85 |
| 2026-04-29 | EN | RAW UNKNOWN | Pokemon - Scarlet & Violet Energies - Basic Lightning Energy | €1,18 |
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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