WolfInABarrel
#17,220 in the world · #6,320 in United States · in the top 37% nationally. 2 official events, 4 matches won and 1 lost.
- 1553±143Rating · margin ±143
- 1466Average field · 25 entr.
- —vs top 5%
What they have done so far
- The toughest field they have faced averaged 1,507 points, across 27 entrants.
How the rating moved
Between 1,534 and 1,553, across 2 events with history.
Last 2 events
| Date | Event | Entrants | Field | Pos. | Record | Rating |
|---|---|---|---|---|---|---|
| 08/08/26 | Geeksphere - Saturday 1pm Nexus Night Wichita | 27 | 1507 | 22° | 1–0 | +19 |
| 01/08/26 | Geeksphere - Saturday 1pm Nexus Night Wichita | 23 | 1424 | 6° | 3–1–1 | +34 |
Form and consistency
On a 1-win streak.
- 16 to 99 2 events 67%
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.
- Sir Mouse US 1590 0–1
- gundore US 1457 1–0
- jhoogy40 US 1424 0–1
- Kuroma US 1424 1–0
- spencermerrill US 1419 1–0
- wolfstorm99 US 1409 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 →