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Ditto · Reverse Holo
Pokémon GO

Ditto · Reverse Holo

Pokémon GO · 053/78 ·Holo Rare
Market value · English · Near Mint
£8.37

What is Ditto · Reverse Holo 053/78 (Pokémon GO) worth?

As of 2026-10-22: In Near Mint, an English copy of Ditto · Reverse Holo 053/78 is worth about £8.37, based on 2 real sales.

  1. 1
    Real sales

    2 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
£8.37
based on 2 sales
Price history · RAW
2026-04-20 · £8.37 £10.88 · 2026-05-24
How is this value calculated?
Ladder estimate · English · ~£8.37 gruen reverse_holo
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 5 mo £8.3716.33
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £8.37 · Σ g = 16.33

Measured error for this era×language (backtest): ±17 %

Ladder estimate · Deutsch · ~£3.98 gruen reverse_holo
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe2 6 mo £10.4216.33
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = £10.42 · Σ g = 16.33

Cap: 4× no buyer from £4.19 € → clamped to £4.19 × 0.95 = £3.98 € (ladder said £10.42 €).

Measured error for this era×language (backtest): ±22 %

PSA Population

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

Recent sales · 4
2026-05-24 EN RAW NM Ditto Bidiza Reverse Holo Unpeeled Pokémon GO 053/078 NM DE £8.37
2026-05-24 EN RAW NM Ditto Webarak Reverse Holo Unpeeled Pokémon GO 053/078 NM DE £8.37
2026-04-25 DE RAW NM Pokémon Ditto Bidiza Reverse unpeeled Pokémon GO 053/078 NM £10.04
2026-04-20 DE RAW NM Pokémon Ditto Camaub Reverse unpeeled Pokémon GO 053/078 NM £10.88
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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.