Skip to content
ChasingFoilbetaEvery card, valued.

Giovanni #104 Gym Challenge Unlimited Price

Gym Challenge · #104 · Unlimited

Giovanni Unlimited (Gym Challenge #104) is worth $5.68 raw as of October 12, 2026, down 5.8% over the last 30 days.

Giovanni #104 — Gym Challenge Pokémon card illustrated by Ken Sugimori

Scroll over the card to resize · click to enlarge ✦

Rare

$5.68latest 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
Number104
RarityRare
FinishUnlimited
TypeTrainer
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

Giovanni #104 price, trend & prediction

Giovanni #104 (Unlimited, Rare) from Gym Challenge (2000) has a market price of $5.68 raw as of October 12, 2026, the TCGplayer market price for this exact printing. For context, the median Gym Challenge card is $6.00; this one ranks #138 of 263 priced printings. Over the last 30 days the price has eased (−5.8%), −2.7% in the last week, −5.8% over 90 days. Its 180-day range is $4.74 to $6.25.

Graded copies of Giovanni sell for more than raw. A PSA 10 has a recent sale median of $166.45, about 10× the raw price (6 recent sales) — thin data, treat as indicative. PSA 9 copies go for around $40.50, about 2.5× the raw price (7 recent sales) — thin data, treat as indicative. Other grades we track: SGC 10 at $112.49, PSA 8 at $42.00, PSA 6 at $40.00. Graded medians come from recent eBay sold listings and refresh daily.

Giovanni #104 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 (−5.8% over 30 days, −2.7% over 7 days, −5.8% 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