← France

GoldenApe

#760 in the world · #36 in France · in the top 2% nationally. 28 official events, 95 matches won and 41 lost.

  • 1762±30Rating · margin ±30
  • 1574Average field · 376 entr.
  • 44%vs top 5% (19–24)

What they have done so far

  • Has won 5 tournaments. The biggest one had 35 players entered.
  • Made top 8 11 times in 28 tournaments: 39% of the time.
  • Their best run is 7 tournaments in a row with the rating going up.
  • Their all-time peak is 1,811 points.
  • The toughest field they have faced averaged 1,640 points, across 20 entrants.
  • They are 14 points away from the top 25: France.

How the rating moved

Between 1,459 and 1,802, across 28 events with history.

Last 28 events

Date Event Entrants Field Pos. Record Rating
23/08/26 Secretlab Regional Rebound - RQ Barcelona Sunday 11am Sants-Montjuïc 1,076 1589 928° 0–1 -21
22/08/26 Riftbound Regional Qualifier - Barcelona Sants-Montjuïc 2,387 1625 108° 8–3–1 +31
21/08/26 Pre-Regional Challenge - RQ Barcelona Friday 1pm Sants-Montjuïc 2,058 1623 395° 3–2 +4
19/08/26 Prepa RQ Barcelona Nîmes 20 1640 3–0 +26
16/08/26 Rift tour Phase 1 N.3 Montpellier 70 1597 36° 2–2–1 -24
09/08/26 ENA Split BOX Unleash & Vendetta Nîmes 24 1612 12° 2–2–1 -14
26/07/26 Rift Tour phase 1 N.2 Montpellier 72 1589 16° 4–2 -11
27/06/26 samedi Afternoon Summoner Skirmish - July 530 Rue des Chênes 19 1618 2–2 -22
20/06/26 Summoner Skirmish - June Salon-de-Provence 13 1543 4–1–1 -9
01/05/26 Pre-Rift Event Unleashed vendredi Soir Nîmes 21 1589 4–0 +26
19/04/26 Regional Rebound - RQ Lille Sunday 10am 1 Bd des Cités Unies 915 1591 238° 4–2 -6
18/04/26 Riftbound Regional Qualifier: Lille 1 Bd des Cités Unies 1,949 1598 413° 4–3 -18
20/03/26 vendredi Evening Nexus Nights - 1v1 Nîmes 13 1561 3–0 +13
13/03/26 vendredi Evening Nexus Nights - 1v1 Nîmes 14 1588 4–0 +27
01/03/26 Win 4 Box Riftbound Nîmes 35 1539 7–0–2 +69
22/02/26 Regional Rebound - RQ Bologna Bologna 636 1584 173° 4–2 +6
21/02/26 Super Saturday Standard Challenge - RQ Bologna Bologna 505 1565 23° 5–1–1 +37
14/02/26 Saturday Morning Riftbound Open Play Montpellier 41 1591 14° 3–2–1 +2
07/02/26 samedi Morning Spiritforged Pre-Rift Event Nîmes 16 1585 4–0 +50
06/02/26 événement de pré-Rift Spiritforged Nîmes 32 1553 14° 3–2–1 -5
26/12/25 vendredi Evening Nexus Nights - 1v1 Nîmes 15 1543 3–1 +15
14/12/25 Skirmish de l'antre Montpellier 49 1513 5–2 +27
07/12/25 dimanche Afternoon Summoner Skirmish - December Nîmes 30 1560 4–2 +25
04/12/25 Weekly Riftbound 04-12 Montpellier 27 1538 2–1–2 +14
27/11/25 Rift à l'antre Jeudi Montpellier 35 1520 27° 1–2 -26
20/11/25 Rift à l'antre jeudi Montpellier 38 1525 10° 2–1–1 +32
13/11/25 Jeudi à L'antre Montpellier 41 1530 10° 4–2 +55
07/11/25 vendredi Evening Nexus Night Nîmes 14 13° 1–3 -41

Form and consistency

On a 2-loss streak.

  • Events with 100+ entrants 7 events 64%
  • 16 to 99 16 events 63%
  • Under 16 5 events 71%

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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