Gilt-Leaf Palace card art

Gilt-Leaf Palace

Land MV 0

Tracked across real Commander games played through TurnZero HQ.

What it does

As this land enters, you may reveal an Elf card from your hand. If you don't, this land enters tapped.

T: Add or .

In the 99

Every deck whose current list includes Gilt-Leaf Palace, whatever its commander.

Decks running it 1
Games played 9
Win rate 33.3%
Confirmed on board 0 Games where a board photo caught it actually in play.

Most played under

Commander Decks Games Win rate
Henry Wu, InGen Geneticist 1 9 33.3%

Colors it shows up in

  • Sultai 1 deck

Gilt-Leaf Palace price history

The Lorwyn #268 printing, as Scryfall reports the TCGplayer market. Updated nightly.

Non-foil today$8.93▼ $0.06 (0.7%)
Low $8.70 · High $9.04Tracked since Sep 28, 2026
Every recorded price change
DateNon-foilFoil
Nov 11, 2026$8.93$26.69
Nov 9, 2026$8.93$26.69
Nov 2, 2026$9.02$26.69
Oct 26, 2026$8.70$26.69
Oct 24, 2026$8.76$26.69
Oct 14, 2026$8.99$26.69
Oct 9, 2026$8.99$23.92
Oct 8, 2026$9.03$25.53
Oct 7, 2026$9.03$23.92
Oct 6, 2026$9.04$23.92
Oct 1, 2026$8.97$23.92
Sep 30, 2026$8.97$26.69
Sep 29, 2026$8.97$23.92
Sep 28, 2026$8.99$23.92

A row is recorded only on nights the price moved, so each price held until the row above it.

Every version of Gilt-Leaf Palace

3 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 publishes none for some of them. Click a card's art to chart that version's price above.

Prices from Scryfall, which tracks the TCGplayer and Cardmarket markets. They move daily and are a guide rather than a quote. Search TCGplayer for Gilt-Leaf Palace. It runs a name search across every version, which covers 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.