MrMeeseeks
#29,570 in the world · #232 in Austria · in the top 60% nationally. 2 official events, 1 matches won and 3 lost.
- 1485±176Rating · margin ±176
- 1563Average field · 17 entr.
- 0%vs top 5% (0–1)
What they have done so far
- Their all-time peak is 1,505 points.
- The toughest field they have faced averaged 1,597 points, across 13 entrants.
How the rating moved
Between 1,485 and 1,485, across 2 events with history.
Last 2 events
| Date | Event | Entrants | Field | Pos. | Record | Rating |
|---|---|---|---|---|---|---|
| 03/05/26 | DnB Unleashed Pre-Rift Event Villach | 20 | 1529 | 11° | 1–2 | 0 |
| 08/12/25 | Monday Nexus Afternoon 08.12.2025 Klagenfurt | 13 | 1597 | 12° | 0–1 | -15 |
Form and consistency
On a 2-loss streak.
- 16 to 99 1 events 33%
- Under 16 1 events 0%
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.
- Bezz AT 1762 0–1
- Kyouya AT 1648 0–1
- SmoothNeighbour AT 1588 0–1
- Grinprim AT 1486 1–0
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 →