Fractalize
Tracked across real Commander games played through TurnZero HQ.
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What it does
Until end of turn, target creature becomes a green and blue Fractal with base power and toughness each equal to X plus 1. (It loses all other colors and creature types.)
In the 99
Every deck whose current list includes Fractalize, whatever its commander.
Most played under
| Commander | Decks | Games | Win rate |
|---|---|---|---|
| Grand Arbiter Augustin IV | 1 | 0 | — |
Colors it shows up in
- Azorius 1 deck
Fractalize price history
The Secrets of Strixhaven #51 printing, as Scryfall reports the TCGplayer market. Updated nightly. Click any version below to chart its price.
Every recorded price change
| Date | Non-foil | Foil |
|---|---|---|
| Oct 26, 2026 | $0.23 | $0.28 |
| Oct 23, 2026 | $0.23 | $0.28 |
| Oct 22, 2026 | $0.22 | $0.28 |
| Oct 21, 2026 | $0.21 | $0.30 |
| Oct 17, 2026 | $0.21 | $0.29 |
| Oct 11, 2026 | $0.20 | $0.29 |
| Oct 9, 2026 | $0.21 | $0.29 |
| Oct 8, 2026 | $0.20 | $0.29 |
| Oct 7, 2026 | $0.19 | $0.29 |
| Oct 4, 2026 | $0.20 | $0.28 |
| Oct 2, 2026 | $0.21 | $0.28 |
| Sep 30, 2026 | $0.18 | $0.28 |
| Sep 29, 2026 | $0.18 | $0.27 |
| Sep 28, 2026 | $0.18 | $0.24 |
A row is recorded only on nights the price moved, so each price held until the row above it.
Every version of Fractalize
1 printing, 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.
Secrets of Strixhaven
- Normal
- $0.23
- Foil
- $0.28
Prices from Scryfall, which tracks the TCGplayer and Cardmarket markets. They move daily and are a guide rather than a quote. Search TCGplayer for Fractalize. 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.
