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Fashion Legends

By Jungle Tavern

girlsdress-upfashion3dPokiPoki
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Popularity · relative index

Based on public voting signals, not player counts.

— / 100Insufficient history
02550751005,0000 CCU2026-08-02 – 2026-08-04 UTC: approximately 3,000 peak concurrent users2026-08-05 – 2026-08-07 UTC: approximately 3,000 peak concurrent users2026-08-08 – 2026-08-10 UTC: approximately 3,000 peak concurrent users2026-08-11 – 2026-08-13 UTC: approximately 3,000 peak concurrent users2026-08-14 – 2026-08-16 UTC: approximately 3,000 peak concurrent users2026-08-17 – 2026-08-19 UTC: approximately 3,000 peak concurrent users2026-08-20 – 2026-08-22 UTC: approximately 3,000 peak concurrent users2026-08-23 – 2026-08-25 UTC: approximately 3,000 peak concurrent users2026-08-26 – 2026-08-28 UTC: approximately 5,000 peak concurrent users2026-08-29 – 2026-08-31 UTC: approximately 3,000 peak concurrent users2026-09-01 – 2026-09-03 UTC: approximately 3,000 peak concurrent users2026-09-04 – 2026-09-06 UTC: approximately 3,000 peak concurrent users2026-09-07 – 2026-09-09 UTC: approximately 3,000 peak concurrent users2026-09-10 – 2026-09-12 UTC: approximately 3,000 peak concurrent users2026-09-13 – 2026-09-15 UTC: approximately 3,000 peak concurrent users2026-09-16 – 2026-09-18 UTC: approximately 3,000 peak concurrent users2026-09-19 – 2026-09-21 UTC: approximately 3,000 peak concurrent users2026-09-22 – 2026-09-24 UTC: approximately 3,000 peak concurrent users2026-09-25 – 2026-09-27 UTC: approximately 3,000 peak concurrent users2026-09-28 – 2026-09-30 UTC: approximately 3,000 peak concurrent users2026-10-01 – 2026-10-03 UTC: approximately 3,000 peak concurrent users2026-10-04 – 2026-10-06 UTC: approximately 3,000 peak concurrent users2026-10-07 – 2026-10-09 UTC: approximately 3,000 peak concurrent users2026-10-10 – 2026-10-12 UTC: approximately 3,000 peak concurrent users2026-10-13 – 2026-10-15 UTC: approximately 3,000 peak concurrent users2026-10-16 – 2026-10-18 UTC: approximately 3,000 peak concurrent users2026-10-19 – 2026-10-21 UTC: approximately 3,000 peak concurrent users2026-10-22 – 2026-10-24 UTC: approximately 3,000 peak concurrent users2026-10-25 – 2026-10-27 UTC: approximately 3,000 peak concurrent users2026-10-28 – 2026-10-30 UTC: approximately 3,000 peak concurrent users (partial period)2026-08-012026-10-29

━ Popularity · index / 100 (left) · ▥ Estimated peak CCU · concurrent users (right)

Three-day maxima, not averages or daily unique players. Periods use UTC; the last source period is incomplete. Historical zero-filled samples are ambiguous and shown as gaps. Values are approximate tiers. Bars at date-range edges may represent a partly visible full source period; the listed dates and tooltip identify the complete aggregation interval.

Latest snapshot: ≈ 3,000 online · 2026-10-29 15:50:00 UTC

Explore the Poki CCU table →
CCU period data · dates and approximate peaks
  • 2026-08-02 – 2026-08-04 UTC: approximately 3,000 peak concurrent users
  • 2026-08-05 – 2026-08-07 UTC: approximately 3,000 peak concurrent users
  • 2026-08-08 – 2026-08-10 UTC: approximately 3,000 peak concurrent users
  • 2026-08-11 – 2026-08-13 UTC: approximately 3,000 peak concurrent users
  • 2026-08-14 – 2026-08-16 UTC: approximately 3,000 peak concurrent users
  • 2026-08-17 – 2026-08-19 UTC: approximately 3,000 peak concurrent users
  • 2026-08-20 – 2026-08-22 UTC: approximately 3,000 peak concurrent users
  • 2026-08-23 – 2026-08-25 UTC: approximately 3,000 peak concurrent users
  • 2026-08-26 – 2026-08-28 UTC: approximately 5,000 peak concurrent users
  • 2026-08-29 – 2026-08-31 UTC: approximately 3,000 peak concurrent users
  • 2026-09-01 – 2026-09-03 UTC: approximately 3,000 peak concurrent users
  • 2026-09-04 – 2026-09-06 UTC: approximately 3,000 peak concurrent users
  • 2026-09-07 – 2026-09-09 UTC: approximately 3,000 peak concurrent users
  • 2026-09-10 – 2026-09-12 UTC: approximately 3,000 peak concurrent users
  • 2026-09-13 – 2026-09-15 UTC: approximately 3,000 peak concurrent users
  • 2026-09-16 – 2026-09-18 UTC: approximately 3,000 peak concurrent users
  • 2026-09-19 – 2026-09-21 UTC: approximately 3,000 peak concurrent users
  • 2026-09-22 – 2026-09-24 UTC: approximately 3,000 peak concurrent users
  • 2026-09-25 – 2026-09-27 UTC: approximately 3,000 peak concurrent users
  • 2026-09-28 – 2026-09-30 UTC: approximately 3,000 peak concurrent users
  • 2026-10-01 – 2026-10-03 UTC: approximately 3,000 peak concurrent users
  • 2026-10-04 – 2026-10-06 UTC: approximately 3,000 peak concurrent users
  • 2026-10-07 – 2026-10-09 UTC: approximately 3,000 peak concurrent users
  • 2026-10-10 – 2026-10-12 UTC: approximately 3,000 peak concurrent users
  • 2026-10-13 – 2026-10-15 UTC: approximately 3,000 peak concurrent users
  • 2026-10-16 – 2026-10-18 UTC: approximately 3,000 peak concurrent users
  • 2026-10-19 – 2026-10-21 UTC: approximately 3,000 peak concurrent users
  • 2026-10-22 – 2026-10-24 UTC: approximately 3,000 peak concurrent users
  • 2026-10-25 – 2026-10-27 UTC: approximately 3,000 peak concurrent users
  • 2026-10-28 – 2026-10-30 UTC: approximately 3,000 peak concurrent users (partial period)
Popularity data · dates and index values
  • 2026-08-01 UTC: 93.9 / 100
  • 2026-08-02 UTC: 94.1 / 100
  • 2026-08-03 UTC: 94.1 / 100
  • 2026-08-04 UTC: 94.1 / 100
  • 2026-08-05 UTC: 94.1 / 100
  • 2026-08-06 UTC: 93.9 / 100
  • 2026-08-07 UTC: 93.9 / 100
  • 2026-08-08 UTC: 93.8 / 100
  • 2026-08-09 UTC: Insufficient data
  • 2026-08-10 UTC: Insufficient data
  • 2026-08-11 UTC: Insufficient data
  • 2026-08-12 UTC: Insufficient data
  • 2026-08-13 UTC: Insufficient data
  • 2026-08-14 UTC: Insufficient data
  • 2026-08-15 UTC: Insufficient data
  • 2026-08-16 UTC: 93.7 / 100
  • 2026-08-17 UTC: 93.5 / 100
  • 2026-08-18 UTC: 93.8 / 100
  • 2026-08-19 UTC: 93.8 / 100
  • 2026-08-20 UTC: 93.8 / 100
  • 2026-08-21 UTC: 94.0 / 100
  • 2026-08-22 UTC: 94.1 / 100
  • 2026-08-23 UTC: 94.2 / 100
  • 2026-08-24 UTC: 94.1 / 100
  • 2026-08-25 UTC: 94.1 / 100
  • 2026-08-26 UTC: 94.0 / 100
  • 2026-08-27 UTC: 93.6 / 100
  • 2026-08-28 UTC: 93.7 / 100
  • 2026-08-29 UTC: 93.7 / 100
  • 2026-08-30 UTC: 93.7 / 100
  • 2026-08-31 UTC: 93.3 / 100
  • 2026-09-01 UTC: 93.3 / 100
  • 2026-09-02 UTC: 93.0 / 100
  • 2026-09-03 UTC: Insufficient data
  • 2026-09-04 UTC: Insufficient data
  • 2026-09-05 UTC: Insufficient data
  • 2026-09-06 UTC: Insufficient data
  • 2026-09-07 UTC: Insufficient data
  • 2026-09-08 UTC: Insufficient data
  • 2026-09-09 UTC: Insufficient data
  • 2026-09-10 UTC: Insufficient data
  • 2026-09-11 UTC: Insufficient data
  • 2026-09-12 UTC: Insufficient data
  • 2026-09-13 UTC: Insufficient data
  • 2026-09-14 UTC: Insufficient data
  • 2026-09-15 UTC: Insufficient data
  • 2026-09-16 UTC: Insufficient data
  • 2026-09-17 UTC: Insufficient data
  • 2026-09-18 UTC: Insufficient data
  • 2026-09-19 UTC: Insufficient data
  • 2026-09-20 UTC: Insufficient data
  • 2026-09-21 UTC: Insufficient data
  • 2026-09-22 UTC: Insufficient data
  • 2026-09-23 UTC: Insufficient data
  • 2026-09-24 UTC: Insufficient data
  • 2026-09-25 UTC: Insufficient data
  • 2026-09-26 UTC: Insufficient data
  • 2026-09-27 UTC: Insufficient data
  • 2026-09-28 UTC: Insufficient data
  • 2026-09-29 UTC: Insufficient data
  • 2026-09-30 UTC: Insufficient data
  • 2026-10-01 UTC: Insufficient data
  • 2026-10-02 UTC: Insufficient data
  • 2026-10-03 UTC: Insufficient data
  • 2026-10-04 UTC: Insufficient data
  • 2026-10-05 UTC: Insufficient data
  • 2026-10-06 UTC: Insufficient data
  • 2026-10-07 UTC: Insufficient data
  • 2026-10-08 UTC: Insufficient data
  • 2026-10-09 UTC: Insufficient data
  • 2026-10-10 UTC: Insufficient data
  • 2026-10-11 UTC: Insufficient data
  • 2026-10-12 UTC: Insufficient data
  • 2026-10-13 UTC: Insufficient data
  • 2026-10-14 UTC: Insufficient data
  • 2026-10-15 UTC: Insufficient data
  • 2026-10-16 UTC: Insufficient data
  • 2026-10-17 UTC: Insufficient data
  • 2026-10-18 UTC: Insufficient data
  • 2026-10-19 UTC: Insufficient data
  • 2026-10-20 UTC: Insufficient data
  • 2026-10-21 UTC: Insufficient data
  • 2026-10-22 UTC: Insufficient data
  • 2026-10-23 UTC: Insufficient data
  • 2026-10-24 UTC: Insufficient data
  • 2026-10-25 UTC: Insufficient data
  • 2026-10-26 UTC: Insufficient data
  • 2026-10-27 UTC: Insufficient data
  • 2026-10-28 UTC: Insufficient data
  • 2026-10-29 UTC: Insufficient data

N New label observed

The recorded Poki feed provides new-label observations only; hot and staff-picked observations are not available from this source.

Markers are positive daily observations from the portal API, not entry or exit dates or continuous placement. Hot does not prove a popular-list position; staff-picked does not prove homepage placement. These observations do not establish a cause for popularity changes.

No recorded label observations in this range. This does not prove that the game was never listed.

Last observed: Coverage 3/31 days546 comparable games
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About Fashion Legends

Fashion Legends is a dress-up game where you collect your clothes as you walk! Walk your character over a long catwalk filled with clothes and gems. Make sure to pick up the right clothes for the assignment that you see on the top of your screen. Dress up as a princess, your favorite character from a movie or series, in pajamas or as a Duck? You can find gems along the way that you can collect. At the end you can do upgrades to receive extra likes or gems. Unlock new skins and themes as you play. Are you ready to dress-up?

How to play Fashion Legends?

Drag left/right to move (desktop: A/D or Arrow Keys).

Who created Fashion Legends?

Fashion Legends is created by Jungle Tavern. This is their third game on Poki! Play their other games on Poki: Count Control Legends and Neon Challenge Legends !

How can I play Fashion Legends for free?

You can play Count Control Legends for free on Poki.

Can I play Fashionl Legends on mobile devices and desktop?

Fashion Legends can be played on your computer and mobile devices like phones and tablets.

Description from poki.com ↗

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7.5K CCU
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