Carmelo Z
#25,817 in the world · #2,063 in Italy · in the top 50% nationally. 2 official events, 5 matches won and 5 lost.
- 1505±120Rating · margin ±120
- —Field
- 0%vs top 5% (0–3)
What they have done so far
- Their all-time peak is 1,524 points.
How the rating moved
Between 1,500 and 1,505, across 2 events with history.
Last 2 events
| Date | Event | Entrants | Field | Pos. | Record | Rating |
|---|---|---|---|---|---|---|
| 09/11/25 | ManaTrust Release Event Catania | 38 | — | 16° | 3–3 | +5 |
| 31/10/25 | Riftbound Release Event 31-10-2025 Catania | 16 | — | 8° | 2–2 | 0 |
Form and consistency
On a 1-loss streak.
- 16 to 99 2 events 50%
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.
- Unforgiven IT 1745 0–1
- Teoritta IT 1739 0–1
- Luxord IT 1705 0–1
- StefanoCT IT 1635 0–1
- flavio sharko IT 1528 1–0
- Just Joshua IT 1501 1–0
- KounterX IT 1495 0–1
- Jacknygma IT 1452 1–0
- Ecliptyc IT 1434 1–0
- Sanku IT 1358 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 →