Torkoal
Market price
€12,05
Price history · RAW
2026-04-09 · €4,77
€18,23 · 2026-07-02
Price per print
🇬🇧
Normal · EN
n=2
€12,05
How is this value calculated?
Ladder estimate · English
· ~€12,05
gelb
| Evidence path | Sales | Age | Value vᵢ | Weight gᵢ |
|---|---|---|---|---|
| eigene rohe NM-Verkäufe | 2 | 49 d | €12,42 | 16.33 |
| eigene PSA8-Verkäufe ÷ 3.0786 | 3 | 2 mo | €6,95 | 0.91 |
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €12,05 · Σ g = 17.24
Measured error for this era×language (backtest): ±22 %
Gate not green — shown only here, never as the price.
PSA Population
EN
Σ 121
PSA 10
74
61%
PSA 9
25
21%
PSA 8
13
11%
PSA ≤7
9
7%
PSA + CGC · as of 2026-08-13
PSA Population
No PSA numbers for this print yet — in any language.
Recent sales · 12
| 2026-07-04 | UNKNOWN | CGC 10 | Pokémon TCG Torkoal POP Series 1 10/17 Non Holo Common CGC 1 | €67,66 |
| 2026-07-02 | UNKNOWN | RAW NM | Torkoal NM/M 10/17 Uncommon Pop Serie 1 Pokemon Wird in neue | €12,17 |
| 2026-06-30 | EN | RAW NM | Torkoal 10/17 Uncommon POP Series 1 Pokemon Near Mint | €14,04 |
| 2026-06-24 | ES | RAW UNKNOWN | POKEMON Torkoal 10/17 POP Serie 1 Poco Común Se abre en una | €12,56 |
| 2026-06-15 | EN | PSA 9 | 2004 POKEMON POP SERIES 1 #10 TORKOAL PSA 9 | €17,67 |
| 2026-05-28 | EN | PSA 8 | 2004 POKEMON POP SERIES 1 #10 TORKOAL PSA 8 | €34,43 |
| 2026-05-21 | EN | RAW NM | Torkoal 10/17 Uncommon POP Series 1 Pokemon NM | €5,94 |
| 2026-05-18 | EN | PSA 8 | 2004 POKEMON POP SERIES 1 #10 TORKOAL PSA 8 | €20,37 |
| 2026-05-10 | EN | PSA 8 | 2004 POKEMON POP SERIES 1 #10 TORKOAL PSA 8 | €7,96 |
| 2026-04-25 | EN | CGC 10 | Pokémon TCG Torkoal POP Series 1 10/17 Non Holo Common CGC 1 | €34,14 |
| 2026-04-23 | ES | RAW UNKNOWN | Torkoal - 10/17 - Uncommon - Pop Series 1 - Pokemon Card Se | €18,23 |
| 2026-04-09 | ES | RAW LP | Torkoal 10/17 Non Holo from Pokemon POP Series 1 LP or Bette | €4,77 |
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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