UndercoverHipp0
#36,677 in the world · in the top 78% worldwide. 1 official events, 3 matches won and 7 lost.
- 1443±105Rating · margin ±105
- 1573Average field · 710 entr.
- 0%vs top 5% (0–2)
What they have done so far
- Their all-time peak is 1,507 points.
- The toughest field they have faced averaged 1,573 points, across 710 entrants.
Last 1 events
| Date | Event | Entrants | Field | Pos. | Record | Rating |
|---|---|---|---|---|---|---|
| 22/08/26 | Riftbound Showdown Series Milwaukee | 710 | 1573 | 481° | 3–7–1 | -57 |
Form and consistency
On a 1-win streak.
- Events with 100+ entrants 1 events 27%
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.
- GingerBrute US 1761 0–1
- R650 Cash US 1723 0–1
- Scylith US 1696 0–1
- SirMike77 US 1497 0–1
- WARP Atom US 1491 0–1
- Straw Hat Brody US 1461 0–1
- SirFenixTheCrazy US 1448 0–1
- Murglo US 1448 0–1
- TenaciousDJ US 1410 1–0
- Meowmixlord US 1384 1–0
- MsfMimzy US 1373 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 →