NEGATIVE MACRO
#32,719 in the world · #1,520 in France · in the top 72% nationally. 2 official events, 1 matches won and 2 lost.
- 1467±129Rating · margin ±129
- 1496Average field · 17 entr.
- —vs top 5%
What they have done so far
- Their all-time peak is 1,506 points.
How the rating moved
Between 1,467 and 1,495, across 2 events with history.
Last 2 events
| Date | Event | Entrants | Field | Pos. | Record | Rating |
|---|---|---|---|---|---|---|
| 07/02/26 | samedi Evening Spiritforged Pre-Rift Event Lamballe | 17 | 1492 | 16° | 0–1–3 | -28 |
| 06/02/26 | vendredi Evening Spiritforged Pre-Rift Event Trégueux | 16 | 1499 | 11° | 1–1–2 | -5 |
Form and consistency
On a 5-loss streak.
- 16 to 99 2 events 13%
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.
- Ryujinkin FR 1537 0–1
- Souleyk26 FR 1479 0–1
- Santhiep FR 1476 1–0
- TBA Nafecedo FR 1437 0–2
- Only Pirates jb FR 1419 0–1
- xParker FR 1418 0–1
- 1amshony FR 1403 0–1
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 →