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Kasumi

#36,535 in the world · #2,052 in Australia · in the top 75% nationally. 4 official events, 1 matches won and 5 lost.

  • 1444±137Rating · margin ±137
  • 1556Average field · 41 entr.
  • vs top 5%

What they have done so far

  • Their all-time peak is 1,500 points.
  • The toughest field they have faced averaged 1,583 points, across 25 entrants.

How the rating moved

Between 1,444 and 1,484, across 4 events with history.

Last 4 events

Date Event Entrants Field Pos. Record Rating
09/02/26 Monday Evening Riftbound Open Play Macgregor 43 1546 28° 0–1 -13
08/02/26 Sunday Afternoon Spiritforged Pre-Rift Event Macgregor 61 1542 56° 0–1–1 -12
01/12/25 Monday Afternoon Nexus Nights - 1v1 Macgregor 25 1583 25° 0–1 -15
24/11/25 Monday Evening Nexus Nights - 1v1 Macgregor 33 1552 23° 1–2 -16

Form and consistency

On a 4-loss streak.

  • 16 to 99 4 events 14%

The overall win rate hides this difference: some players dominate at their store and vanish at regionals. Here you can see it.

Toughest opponents faced

Sorted by the opponent's rating, with the head-to-head record. Beating a 1900-rated player counts for more than six wins against a regular at your local store.

What the Field column means

Two columns Elo alone cannot give you. Field is the average rating of the opponents a player actually faced, with how many entrants their events had on average: the same score can be built grinding eight-player events against unrated opposition, or playing 200-player regionals. When the field stays around 1500 or events run under 16 entrants, the number is flagged. vs top 5% answers the same question match by match: how many they won against the 2,503 players rated above 1700. The gap is stark — some sit at 59%, others with a higher Elo sit at 30%. Computing these takes the full entry list of every event plus a rating system: sites that start from decklists cannot.

Ratings recomputed on 2026-09-02 05:41. The calculation runs twice a day on public standings from UVS Games events: between runs the scores do not change. How we compute the ranking →

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