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Foxy

#39,833 in the world · #2,255 in Australia · in the top 83% nationally. 27 official events, 19 matches won and 41 lost.

  • 1421±39Rating · margin ±39
  • 1531Average field · 48 entr.
  • 50%vs top 5% (3–3)

What they have done so far

  • Has won 1 tournament. The biggest one had 12 players entered.
  • Made top 8 7 times in 27 tournaments: 26% of the time.
  • Their best run is 3 tournaments in a row with the rating going up.
  • Their all-time peak is 1,500 points.
  • The toughest field they have faced averaged 1,577 points, across 13 entrants.
  • They are 125 points away from the top 1,000: Australia.

How the rating moved

Between 1,400 and 1,479, across 27 events with history.

Last 27 events

Date Event Entrants Field Pos. Record Rating
21/08/26 [Shuffled LGS Daw Park] Weekly Nexus Night Daw Park 16 1480 13° 0–2–1 -28
13/08/26 Dragons Lair Thursday Nexus Night 30 Furness Ave 13 1513 1–1–1 +2
08/08/26 [SDP] Nexus Night (But on Saturday) Daw Park 17 1527 12° 1–2–1 -9
15/05/26 Super Nexus Night - RQ Sydney Friday 8pm Grand Parade 713 1523 573° 1–3 -18
06/04/26 [ADELAIDE] Riftbound TCG - Easter Double Nexus Adelaide 29 1528 16° 2–3 -5
03/04/26 Friday Morning Nexus Nights - 1v1 ADELAIDE 15 1567 0–0–2 +4
02/04/26 Dragons Lair Thursday Nexus Night 30 Furness Ave 12 1562 3–0 +52
20/03/26 GGA Riftbound Nexus Night ADELAIDE 26 1526 10° 1–1–1 +15
18/03/26 Wednesday night Nexus Nights - 1v1 Norwood 13 1577 10° 0–2 -12
13/03/26 GG Adelaide Nexus Night Friday ADELAIDE 24 1542 16° 0–2 -13
12/03/26 Dragons Lair Thursday Nexus Night 30 Furness Ave 12 1501 1–1–1 +3
10/03/26 Table Top Warfare Weekly Nexus Night Adelaide 13 1536 2–0–1 +25
06/03/26 Friday Evening Nexus Nights - 1v1 ADELAIDE 31 1557 31° 0–1–1 -6
04/03/26 Mayhem Nexus Night Norwood 14 1536 12° 0–2–1 -11
27/02/26 Friday Afternoon Nexus Nights - 1v1 ADELAIDE 36 1523 21° 1–1 +14
20/02/26 Friday Evening Nexus Nights - 1v1 ADELAIDE 27 1529 20° 0–1–2 +2
18/02/26 Mayhem Nexus Night Norwood 19 1533 15° 0–1 -4
13/02/26 Friday Evening Nexus Nights - 1v1 ADELAIDE 27 1573 16° 1–1–1 +10
06/02/26 [Shuffled Daw Park] Spiritforged Pre-Rift Event FRIDAY 06/02 Daw Park 35 1521 28° 0–2–1 -20
31/01/26 [Shuffled Salisbury] Summoner Skirmish - 31/01/26 Salisbury 33 1559 27° 0–3–1 -17
28/01/26 Mayhem Nexus Night 92 The Parade 14 1531 1–1–1 +9
04/12/25 Dragon's Lair Weekly Riftbound Nexus Event 30 Furness Ave 13 1560 1–1–2 +14
27/11/25 Dragon's Lair Thursday Night Nexus 30 Furness Ave 15 1477 12° 0–1–2 -12
25/11/25 Tuesday Evening Nexus Nights - 1v1 Christies Beach 19 1525 11° 1–2 -11
21/11/25 Friday Evening Nexus Nights - 1v1 Daw Park 32 1479 22° 1–2–2 -1
15/11/25 Riftbound Win-A-Box 15/11 Salisbury 34 1530 22° 1–3–2 -22
07/11/25 [Shuffled Daw Park] Riftbound Release Event Daw Park 24 16° 0–2–2 -40

Form and consistency

On a 3-loss streak.

  • Events with 100+ entrants 1 events 25%
  • 16 to 99 16 events 17%
  • Under 16 10 events 31%

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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