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Arcanine · Play! Pokémon
Rising Rivals

Arcanine · Play! Pokémon

Rising Rivals · 1/111 ·Rare Holo
Market value · English · Near Mint
£98.46

What is Arcanine · Play! Pokémon 1/111 (Rising Rivals) worth?

As of 2026-10-25: In Near Mint, an English copy of Arcanine · Play! Pokémon 1/111 is worth about £98.46, based on 1 real sales.

  1. 1
    Real sales

    1 completed Near Mint sales from eBay, Goldin and Fanatics, each one checked on the listing page.

  2. 2
    Outliers out

    Prices far above or below the median are dropped: lots, fakes, mismatched cards.

  3. 3
    Recent counts more

    Newer sales weigh more than old ones, so the value follows the market, not the yearly average.

No estimate, no asking prices. Paid sales only.
Market price
£98.46
based on 1 sales
How is this value calculated?
Ladder estimate · English · ~£47.31 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe33 9 d £47.52269.39
eigene PSA7-Verkäufe ÷ 1.8467 · Set +10% nachgeführt5 58 d £61.473.78
eigene PSA8-Verkäufe ÷ 3.7159 · Set +10% nachgeführt12 2 mo £29.682.95
eigene PSA9-Verkäufe ÷ 6.6525 · Set +10% nachgeführt6 2 mo £38.752.47
eigene LP-Verkäufe ÷ 0.77349 8 d £45.362.1
de roh NM × 4.3568 (Sprach-Faktor aus 14 Karten)3 12 d £40.341.47
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £47.31 · Σ g = 282.16

Measured error for this era×language (backtest): ±24 %

Gate not green — shown only here, never as the price.

Ladder estimate · Deutsch · ~£8.93 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe3 12 d £9.2624.49
eigene LP-Verkäufe ÷ 0.7734 9 d £5.572.0
en roh NM × 0.2295 (Sprach-Faktor aus 14 Karten)33 9 d £10.910.31
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £8.93 · Σ g = 26.8

Gate not green — shown only here, never as the price.

PSA Population

No PSA numbers for this print yet — in any language.

More from Rising Rivals
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FAQ

Frequently asked questions

How does Last Sold determine the market value?

Last Sold 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.