Fighting Memory
Market price
€0,99
Price history · RAW
2026-05-20 · €0,62
€1,63 · 2026-07-12
Price per print
🇬🇧
Normal · EN
n=3
€0,99
How is this value calculated?
Ladder estimate · English
· ~€0,99
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 44 d | €0,99 | 24.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,99 · Σ g = 24.49
Measured error for this era×language (backtest): ±16 %
Ladder estimate · Deutsch
· ~€1,23
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2529 (Sprach-Faktor aus 6 Karten) | 3 | 44 d | €1,23 | 2.79 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,23 · Σ g = 2.79
Measured error for this era×language (backtest): ±34 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€1,17
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1893 (Sprach-Faktor aus 36 Karten) | 3 | 44 d | €1,17 | 3.41 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,17 · Σ g = 3.41
Measured error for this era×language (backtest): ±9 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€1,07
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.0871 (Sprach-Faktor aus 97 Karten) | 3 | 44 d | €1,07 | 6.34 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €1,07 · Σ g = 6.34
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 · 3
| 2026-07-12 | EN | RAW NM | Fighting Memory Uncommon SM - Crimson Invasion 94/111 NM | €0,62 |
| 2026-06-22 | EN | RAW NM | Pokemon Fighting Memory 94/111 SM - Crimson Invasion Non-Hol | €1,31 |
| 2026-05-20 | EN | RAW NM | Fighting Memory Uncommon SM - Crimson Invasion 94/111 NM | €1,63 |
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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