Dreepy · Reverse Holo

Rebel Clash · 89/192 ·Common

Illustration: Akira Komayama →

Variant Normal · 89 $1.40

Japanese edition · 2020 VMAX Rising · 039 —

Market price

$2.43

based on 3 sales

Price history · RAW

2026-07-10 · $0.93 $2.96 · 2026-10-14

How is this value calculated?

Ladder estimate · English · ~$1.40 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
eigene rohe NM-Verkäufe	4	28 d	$1.40	32.65

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.40 · Σ g = 32.65

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

Ladder estimate · Deutsch · ~$1.01 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 0.7208 (Sprach-Faktor aus 16 Karten)	4	28 d	$1.01	1.33

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.01 · Σ g = 1.33

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

Ladder estimate · Français · ~$1.81 gelb

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.2931 (Sprach-Faktor aus 234 Karten)	4	28 d	$1.81	3.87

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.81 · Σ g = 3.87

Measured error for this era×language (backtest): ±20 %

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

Ladder estimate · Italiano · ~$1.57 gruen

Evidence path	Sales	Age	Value vᵢ	Weight gᵢ
en roh NM × 1.1191 (Sprach-Faktor aus 308 Karten)	4	28 d	$1.57	8.37

value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = $1.57 · Σ g = 8.37

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

PSA Population EN Σ 3

PSA 9

2 67%

PSA 8

1 33%

PSA · as of 2026-10-13

Recent sales · 4

2026-10-14	EN	RAW NM	Dreepy 089/192 Scontro Ribelle Comune Pokemon Reverse Holo N · eBay	$2.32
2026-10-12	EN	RAW NM	Dreepy Reverse Holo 089/192 comune SWSH02: Pokemon scontro r · eBay	$2.96
2026-07-31	EN	RAW UNKNOWN	Dreepy [Reverse Holo] #89 Pokemon Rebel Clash · eBay	$1.30
2026-07-10	EN	RAW NM	2020 Dreepy 89/192 - Reverse Holo - Rebel Clash - NM Pokémon · eBay	$0.93

More from Rebel Clash

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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.