Skip to content
ChasingFoilbetaEvery card, valued.

Forretress #028 Dragon Price

Dragon · #028

Forretress (Dragon #028) is worth $1.66 raw as of October 13, 2026, down 0.6% over the last 30 days.

Forretress #028 — Dragon Pokémon card illustrated by Mitsuhiro Arita

Scroll over the card to resize · click to enlarge ✦

Uncommon

$1.66latest TCGplayer median

Email me if this card drops below…

$

We'll email a confirmation link first. You'll also get a weekly "Biggest movers" email. Unsubscribe anytime.

Card details
Number028
RarityUncommon
FinishNormal
TypePokémon
CharacterForretress
Buy or sell

Buy or sell

Links to third-party marketplaces. ChasingFoil may earn a commission. Prices and availability set by sellers.

Printings

Printings · tap to switch

Price history

Price history (TCGplayer median, ~180 days)

Graded prices

Forretress #028 price, trend & prediction

Forretress #028 (Normal, Uncommon) from Dragon (2003) has a market price of $1.66 raw as of October 13, 2026, the TCGplayer market price for this exact printing. For context, the median Dragon card is $10.59; this one ranks #147 of 188 priced printings. Over the last 30 days the price has held steady (−0.6%), −4.0% in the last week, +1.8% over 90 days. Its 180-day range is $1.26 to $1.78.

Graded copies of Forretress sell for more than raw. A PSA 10 has a recent sale median of $60.00, about 3.0× the raw price (1 recent sale) — thin data, treat as indicative. PSA 9 copies go for around $39.99, about 2.0× the raw price (3 recent sales) — thin data, treat as indicative. Other grades we track: CGC 10 at $44.25, CGC 9 at $9.50. Graded medians come from recent eBay sold listings and refresh daily.

Forretress #028 price prediction: if recent momentum continues, the 30-day trend for this card is downward. Momentum is pointing down: the price is lower across the windows we track (−0.6% over 30 days, −4.0% over 7 days, +1.8% over 90 days). This is a read of past price moves, not a model forecast and not investment advice — see the forecast methodology and public accuracy scoreboard for how our ML outlooks are built and scored.

Related cards