← Italy

Mariod35

#45,671 in the world · #3,879 in Italy · in the top 93% nationally. 29 official events, 12 matches won and 44 lost.

  • 1354±39Rating · margin ±39
  • 1493Average field · 9 entr.
  • vs top 5%

What they have done so far

  • Made top 8 20 times in 29 tournaments: 69% of the time.
  • Their best run is 3 tournaments in a row with the rating going up.
  • Their peak is 1,500 points, reached in January 2026: today they sit 146 points below it.
  • The toughest field they have faced averaged 1,513 points, across 11 entrants.
  • They are 123 points away from the top 2,500: Italy.

How the rating moved

Between 1,332 and 1,500, across 29 events with history.

Last 29 events

Date Event Entrants Field Pos. Record Rating
01/09/26 Tuesday Morning Nexus Nights - 1v1 Palermo 10 1491 0–2–2 -10
19/08/26 Wednesday Afternoon Vendetta Summoner Skirmish I Palermo 9 1486 0–1–3 +6
06/08/26 Thursday Morning Nexus Nights - 1v1 Palermo 10 1491 1–1–2 +18
28/07/26 Tuesday Afternoon Nexus Nights - Multiplayer Palermo 10 1491 10° 0–0–1 +8
23/07/26 Thursday Afternoon Nexus Nights - 1v1 Palermo 10 1491 10° 0–2–2 -9
17/07/26 Friday Morning Nexus Nights - Multiplayer Palermo 9 1504 0–0–1 +8
09/07/26 Monday Afternoon Summoner Skirmish - July Palermo 9 1491 0–3 -16
02/07/26 La scimmia nerd Nexus Nights - Multiplayer Palermo 9 1491 1–2 -6
24/06/26 Wednesday Evening Nexus Nights - 1v1 Palermo 9 1491 0–2–1 -10
18/06/26 Monday Afternoon Summoner Skirmish - June Palermo 9 1491 1–1–2 +11
27/05/26 Wednesday Evening Nexus Nights - 1v1 Palermo 10 1491 0–3–1 -19
20/05/26 Wednesday Evening Nexus Nights - Multiplayer Palermo 10 1491 0–0–1 +8
13/05/26 Wednesday Afternoon Nexus Nights - 1v1 Palermo 7 1515 2–1 +28
04/05/26 Monday Afternoon Unleashed Pre-Rift Event Palermo 8 1494 1–2 +5
03/05/26 Friday Afternoon Unleashed Pre-Rift Event Palermo 9 1504 0–2–1 -6
28/04/26 Tuesday Afternoon Riftbound Open Play Palermo 10 1484 10° 0–4 -42
21/04/26 martedì Afternoon Summoner Skirmish - April Palermo 10 1484 10° 0–4 -42
09/04/26 Thursday Morning Learn-to-Play Event Palermo 9 1486 0–0–1 +5
25/03/26 mercoledì Afternoon Summoner Skirmish - March Palermo 10 1474 1–2–1 -3
07/03/26 Saturday Afternoon Nexus Nights - 1v1 Palermo 8 1473 1–2 -5
25/02/26 Wednesday Afternoon Nexus Nights - 1v1 Palermo 7 1493 0–1–2 -4
17/02/26 Tuesday Evening Nexus Nights - 1v1 Palermo 6 1514 1–2 -5
06/02/26 venerdì Afternoon Spiritforged Pre-Rift Event Palermo 11 1513 11° 1–3–1 -26
23/01/26 Friday Evening Nexus Nights - 1v1 Palermo 6 1–2 -19
21/01/26 mercoledì Afternoon Learn-to-Play Event Palermo 6 0–0–1 +1
15/01/26 giovedì Evening Nexus Nights - 1v1 Palermo 6 1–2 -22
12/01/26 martedì Afternoon Learn-to-Play Event Palermo 6 0–0–1 0
08/01/26 giovedì Afternoon Learn-to-Play Event Palermo 6 0–0–1 0
03/01/26 sabato Morning Riftbound Open Play Palermo 6 0–0–1 0

Form and consistency

On a 9-loss streak.

  • Under 16 29 events 15%

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.

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 →

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