Poké Ball
Market price
£1.33
Price history · RAW
2026-06-09 · £1.16
£55.11 · 2026-09-10
Price per print
🇬🇧
Normal · EN
n=3
£1.21
How is this value calculated?
Ladder estimate · English
· ~£0.33
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 3 | 23 d | £1.21 | 24.49 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.21 · Σ g = 24.49
Cap: 2× no buyer from £0.35 € → clamped to £0.35 × 0.95 = £0.33 € (ladder said £1.21 €).
Measured error for this era×language (backtest): ±17 %
Ladder estimate · Deutsch
· ~£0.94
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 0.7756 (Sprach-Faktor aus 14 Karten) | 3 | 23 d | £0.94 | 1.09 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £0.94 · Σ g = 1.09
Measured error for this era×language (backtest): ±22 %
Ladder estimate · Français
· ~£1.56
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten) | 3 | 23 d | £1.56 | 3.73 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.56 · Σ g = 3.73
Measured error for this era×language (backtest): ±20 %
Gate not green — shown only here, never as the price.
Ladder estimate · Italiano
· ~£1.35
gruen
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| en roh NM × 1.1191 (Sprach-Faktor aus 308 Karten) | 3 | 23 d | £1.35 | 7.71 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £1.35 · Σ g = 7.71
Measured error for this era×language (backtest): ±18 %
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 3
| 2026-09-10 | EN | RAW NM | Poké Ball 164/192 Rebel Clash MINT Condition · eBay | £1.34 |
| 2026-09-10 | EN | RAW NM | Poké Ball 164/192 Uncommon Rebel Clash Pokemon · eBay | £0.99 |
| 2026-06-09 | EN | RAW NM | Pokémon Poké Ball Tin, English, D21 COSMIC ECLIPSE , REBEL C · eBay | £55.11 |
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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