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KhangHaerin

#27,721 in the world · #10,209 in United States · in the top 59% nationally. 3 official events, 4 matches won and 6 lost.

  • 1495±113Rating · margin ±113
  • 1567Average field · 19 entr.
  • 0%vs top 5% (0–2)

What they have done so far

  • Made top 8 2 times in 3 tournaments: 67% of the time.
  • Their all-time peak is 1,536 points.
  • The toughest field they have faced averaged 1,607 points, across 26 entrants.

How the rating moved

Between 1,480 and 1,503, across 3 events with history.

Last 3 events

Date Event Entrants Field Pos. Record Rating
10/01/26 Saturday Afternoon Nexus Nights - 1v1 Orlando 16 1541 2–2 +15
18/12/25 Riftbound Nexus Nights at Cool Stuff Games South Orlando - 12/17 Orlando 16 1554 1–2 -23
09/12/25 Riftbound Nexus Night! Maitland 26 1607 16° 1–2–1 +3

Form and consistency

On a 1-loss streak.

  • 16 to 99 3 events 36%

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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