Market price
€7,22
Price history · RAW
2026-04-29 · €3,11
€6,74 · 2026-06-07
How is this value calculated?
Ladder estimate · English
· ~€7,22
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 6 | 44 d | €7,15 | 48.98 |
| eigene LP-Verkäufe ÷ 0.5822 | 5 | 59 d | €10,13 | 1.45 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €7,22 · Σ g = 50.43
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
Ladder estimate · Deutsch
· ~€8,60
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.203 (Sprach-Faktor aus 29 Karten) | 6 | 44 d | €8,60 | 2.19 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €8,60 · Σ g = 2.19
Measured error for this era×language (backtest): ±28 %
Gate not green — shown only here, never as the price.
Ladder estimate · Français
· ~€14,93
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.0889 (Sprach-Faktor aus 8 Karten) | 6 | 44 d | €14,93 | 0.35 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €14,93 · Σ g = 0.35
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~€16,57
rot
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 2.3186 (Sprach-Faktor aus 8 Karten) | 6 | 44 d | €16,57 | 1.95 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €16,57 · Σ g = 1.95
Measured error for this era×language (backtest): ±169 %
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
| 2026-06-07 | EN | RAW LP | Pokemon TCG Swirlix McDonalds 2014 Promo 9/12 Confetti Holo | €6,74 |
| 2026-05-12 | EN | RAW LP | Pokemon - Swirlix - McDonalds 2014 Promo 9/12 - Confetti Hol | €6,16 |
| 2026-04-29 | EN | RAW LP | Pokemon - Swirlix - McDonalds 2014 Promo 9/12 - Confetti Hol | €3,11 |
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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.