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Hugh · Reverse Holo
Boundaries Crossed

Hugh · Reverse Holo

Boundaries Crossed · 130/149 ·Uncommon
Market value · English · Near Mint
$2.73

What is Hugh · Reverse Holo 130/149 (Boundaries Crossed) worth?

As of 2026-10-21: In Near Mint, an English copy of Hugh · Reverse Holo 130/149 is worth about $2.73, 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
$2.73
based on 1 sales
Price history · RAW
2026-04-05 · $2.36 $4.93 · 2026-10-08
Cross-market · RAW median per marketplace
Spread vs. cheapest market — before shipping/duty/fees
ebay.com n=2 $3.66 +41%
ebay.es n=2 $3.41 +31%
ebay.it n=2 $2.59 —
How is this value calculated?
Ladder estimate · English · ~$2.21 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe7 2 mo $2.2157.14
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $2.21 · Σ g = 57.14

Measured error for this era×language (backtest): ±18 %

Ladder estimate · Deutsch · ~$2.24 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0178 (Sprach-Faktor aus 8 Karten)7 2 mo $2.242.32
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $2.24 · Σ g = 2.32

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

Ladder estimate · Italiano · ~$4.34 rot
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.963 (Sprach-Faktor aus 11 Karten)7 2 mo $4.341.44
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $4.34 · Σ g = 1.44

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

PSA Population

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

More from Boundaries Crossed
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.