Doctor Doom, King of Latveria card art

Doctor Doom, King of Latveria

Legendary Creature — Human Noble Villain MV 4

Tracked across real Commander games played through TurnZero HQ.

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What it doesAs a commanderIn the 99Every version

What it does

Whenever you discard one or more land cards, each opponent loses 2 life.

At the beginning of combat on your turn, target Villain you control gains menace until end of turn. It connives. (Draw a card, then discard a card. If you discarded a nonland card, put a +1/+1 counter on that creature.)

Covered in our set guide Marvel Super Heroes Power-Up, Teamwork and Plan, all ten draft archetypes and the four precons. Released Jun 26, 2026 Read the guide →

As a commander

Decks built with Doctor Doom, King of Latveria in the command zone.

Decks led 3
Games played 1
Wins 0
Win rate — Fewer than 5 completed games — not enough to publish a rate yet.

In the 99

Every deck whose current list includes Doctor Doom, King of Latveria, whatever its commander.

Decks running it 1
Games played 0
Win rate — Fewer than 5 completed games — not enough to publish a rate yet.
Confirmed on board 0 Games where a board photo caught it actually in play.

Most played under

Commander Decks Games Win rate
Jodah, the Unifier 1 0 —

Colors it shows up in

  • Five-Color 1 deck

Every version of Doctor Doom, King of Latveria

2 printings, newest first. Prices are the market figures Scryfall publishes, refreshed nightly — a printing with no figure shows a dash rather than a zero, because Scryfall genuinely publishes none for some of them.

Prices from Scryfall, which tracks the TCGplayer and Cardmarket markets. They move daily and are a guide rather than a quote. Search TCGplayer for Doctor Doom, King of Latveria — a name search across every version, for the printings TCGplayer publishes no direct link to.

Aggregated from Commander games tracked in TurnZero HQ. Every figure counts decks and games only — no individual deck list, player or playgroup is identified. Win rates are withheld below 5 completed games, where the sample is too small to mean anything.