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Professor Elm #003 Best of Game Reverse Holofoil Price

Best of Game · #003 · Reverse Holofoil

Professor Elm Reverse Holofoil (Best of Game #003) is worth $32.71 raw as of October 14, 2026, up 7.5% over the last 30 days.

Professor Elm #003 — Best of Game Pokémon card illustrated by Ken Sugimori

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About the artwork

Professor Elm, a man with glasses and a white lab coat, joyfully holds up a blue and yellow Pokémon. He is smiling broadly, with his mouth open, and his eyes are wide with excitement. The background shows what appears to be a laboratory setting with various equipment.

Anime-inspired illustrationJoyfulExcitedCuriousScientific

Generated by AI vision — may contain mistakes.

Promo✦ Foil

$32.71latest TCGplayer median

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Card details
Number003
RarityPromo
FinishReverse Holofoil
TypeTrainer
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Price history

Price history (TCGplayer median, ~180 days)

Graded prices

Professor Elm #003 price, trend & prediction

Professor Elm #003 (Reverse Holofoil, Promo) from Best of Game (2002) has a market price of $32.71 raw as of October 14, 2026, the TCGplayer market price for this exact printing. It is the #8 most valuable of 9 priced printings in Best of Game. Over the last 30 days the price has edged up (+7.5%), +9.5% over 90 days. Its 180-day range is $27.25 to $32.71 — it is trading near the top of that range.

Graded copies of Professor Elm sell for more than raw. PSA 9 copies go for around $85.18, about 2.6× the raw price (5 recent sales) — thin data, treat as indicative. Other grades we track: CGC 9.5 at $140.00, CGC 10 at $110.00, PSA 8 at $50.00. Graded medians come from recent eBay sold listings and refresh daily.

Professor Elm #003 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 (+7.5% over 30 days, +1.6% over 7 days, +9.5% 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.

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