← Italy

Paranoid Gamer

#34,201 in the world · #2,759 in Italy · in the top 66% nationally. 34 official events, 33 matches won and 55 lost.

  • 1458±38Rating · margin ±38
  • 1495Average field · 16 entr.
  • 13%vs top 5% (1–7)

What they have done so far

  • Has won 3 tournaments. The biggest one had 9 players entered.
  • Made top 8 26 times in 34 tournaments: 76% of the time.
  • Their all-time peak is 1,500 points.
  • The toughest field they have faced averaged 1,595 points, across 9 entrants.
  • They are 19 points away from the top 2,500: Italy.

How the rating moved

Between 1,390 and 1,482, across 34 events with history.

Last 34 events

Date Event Entrants Field Pos. Record Rating
03/08/26 TCG CLUB Nexus Night Torino 10 1511 2–2 +12
31/07/26 TCGCLUB Pre-Rift Vendetta Torino 6 1484 2–0–1 +35
27/07/26 TCGCLUB 5 Tappa RUNESLEAGUE Torino 6 1471 0–3 -40
24/07/26 TCGCLUB Pre-Rift Vendetta Torino 11 1498 2–1 +17
20/07/26 TCG Club Nexus Night Torino 6 1512 1–1–1 +12
06/07/26 3 Tappa RunesLeague TCGClub Torino 8 1523 0–2–1 -22
29/06/26 2' TAPPA RUNESLEAGUE TCGCLUB Torino 5 1511 0–1–1 -10
21/06/26 Summoner Skirmish - June Torino 9 1595 0–3 -23
15/06/26 Nexus Night TCGClub Torino 9 1533 3–0–1 +54
08/06/26 1 TAPPA RUNESLEAGUE TCGCLUB Torino 8 1535 1–2 -1
04/06/26 TCG CLUB Nexus Nights - 1v1 Torino 6 1453 1–2 -8
25/05/26 TCGCLUB Nexus Night Torino 8 1572 1–2 +4
21/05/26 TCG CLUB WIN A BOX 1v1 Torino 8 1512 1–2 -3
12/05/26 PRE RIFT @TCG CLUB Torino 10 1494 1–2 -3
10/05/26 Nexus Afternoon @Kaboom Torino 11 1482 2–2 +3
01/05/26 venerdì Afternoon Unleashed Pre-Rift Event Torino 6 1470 3–0 +41
01/04/26 Nexus Night @Kaboom Torino 9 1460 1–2 -6
25/03/26 Nexus Night @Kaboom Torino 9 1488 1–1 -3
18/03/26 Nexus Night @Kaboom Torino 14 1498 12° 0–1 -9
11/03/26 Nexus Night @Kaboom Torino 6 1439 2–1 +12
06/03/26 Nexus Nights - 1v1 Torino 4 1463 0–0–1 0
25/02/26 Nexus Night @Kaboom Torino 8 1477 1–2 +2
22/02/26 Full Box Sealed - RQ Bologna 1pm Sunday Bologna 127 1541 96° 1–3–1 -2
21/02/26 Full Box Sealed - RQ Bologna 4pm Saturday Bologna 127 1514 114° 0–1–1 -4
11/02/26 mercoledì Evening Nexus Nights - 1v1 Torino 5 1470 1–1 +5
07/02/26 Spiritforged Prerelease Sabato Pomeriggio - Jolly Joker Dante Torino 15 1464 10° 1–2–1 0
06/02/26 Venerdì Afternoon Spiritforged Pre-Rift Event Torino 9 1518 0–3–1 -25
28/01/26 Wednesday Evening Nexus Nights - 1v1 Torino 5 1502 0–2 -15
21/01/26 Wednesday Night Nexus Nights - 1v1 Torino 4 1461 1–0–1 +33
19/11/25 mercoledì Evening Nexus Nights - 1v1 Torino 15 1488 10° 1–2 -7
14/11/25 Nexus Nights - 1v1 @ Fumetteria Neotokyo Torino 9 1472 1–2 -12
12/11/25 mercoledì Evening Nexus Nights - 1v1 Torino 7 1439 1–1–1 +12
05/11/25 05/11 Nexus Night Torino 10 10° 0–4 -73
31/10/25 Riftbound Release Event Torino 18 13° 1–2–2 -18

Form and consistency

On a 1-win streak.

  • Events with 100+ entrants 2 events 14%
  • 16 to 99 1 events 20%
  • Under 16 31 events 34%

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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