Skip to content
ChasingFoilbetaEvery card, valued.

Moltres #009 Fates Collide Price

Fates Collide · #009

Moltres (Fates Collide #009) is worth $1.80 raw as of October 8, 2026, up 9.8% over the last 30 days.

Moltres #009 — Fates Collide Pokémon card illustrated by OOYAMA

Scroll over the card to resize · click to enlarge ✦

Rare

$1.80latest 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
Number009
RarityRare
FinishNormal
TypePokémon
CharacterMoltres
ArtistOOYAMA
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

Moltres #009 price, trend & prediction

Moltres #009 (Normal, Rare) from Fates Collide (2016) has a market price of $1.80 raw as of October 8, 2026, the TCGplayer market price for this exact printing. It sits well above the set's median card ($0.51), ranking #50 of 224 priced printings. Over the last 30 days the price has climbed (+9.8%), +25.0% in the last week, +38.5% over 90 days. Its 180-day range is $0.99 to $2.25.

Graded copies of Moltres sell for more than raw. A PSA 10 has a recent sale median of $351.00, about 34× the raw price (1 recent sale) — thin data, treat as indicative. PSA 9 copies go for around $33.24, about 3.2× the raw price (4 recent sales) — thin data, treat as indicative. Other grades we track: PSA 8 at $17.50. Graded medians come from recent eBay sold listings and refresh daily.

Moltres #009 price prediction: if recent momentum continues, the 30-day trend for this card is upward. Momentum is pointing up: the price is higher across the windows we track (+9.8% over 30 days, +25.0% over 7 days, +38.5% 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