superex — CS2 Stats
AR76561198094351137[U:1:134085409]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerEffective flashes
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like s1mple 98% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Strengths
Aim. Aim score of 96 — the mechanical foundation is a clear strength.
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 8.7/10 (Elite), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| S | 43 | 31–12 | 72% | 0.10 | |
| S | 36 | 31–5 | 86% | 0.10 | |
| S | 6 | 6–0 | 100% | 0.11 | |
| C | 5 | 2–3 | 40% | 0.08 | |
| — | 3 | 3–0 | 100% | 0.10 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| italy | — | 1 | 1–0 | 100% | 0.09 |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 167 | 60% | 1.57 | 21.7 |
| Dust2 | 83 | 59% | 1.79 | 21.8 |
| Ancient | 45 | 62% | 1.41 | 19.6 |
| Anubis | 34 | 56% | 1.46 | 19.9 |
| Nuke | 29 | 55% | 1.38 | 15.9 |
| Inferno | 27 | 48% | 1.43 | 20.3 |
| Overpass | 12 | 75% | 1.45 | 19.4 |
| Vertigo | 4 | 25% | 0.95 | 16.5 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.16 | 45% | 28 Aug → | ||
| 12–12 | 0.08 | 31% | 28 Aug → | ||
| 12–12 | 0.05 | 24% | 26 Aug → | ||
| 13–5 | -0.00 | 18% | 25 Aug → | ||
| 6–13 | 0.10 | 25% | 25 Aug → | ||
| 13–10 | 0.18 | 46% | 24 Aug → | ||
| 13–5 | 0.06 | 29% | 23 Aug → | ||
| 11–13 | 0.03 | 39% | 23 Aug → | ||
| 13–1 | 0.18 | 46% | 22 Aug → | ||
| 11–13 | 0.04 | 22% | 21 Aug → | ||
| 13–4 | 0.11 | 28% | 21 Aug → | ||
| 8–13 | -0.03 | 25% | 15 Aug → | ||
| 13–7 | 0.07 | 36% | 15 Aug → | ||
| 13–2 | 0.11 | 38% | 14 Aug → | ||
| 8–13 | -0.00 | 39% | 14 Aug → | ||
| 13–8 | 0.25 | 33% | 14 Aug → | ||
| 13–7 | 0.13 | 33% | 14 Aug → | ||
| 12–12 | 0.18 | 32% | 11 Aug → | ||
| 13–4 | 0.04 | 61% | 11 Aug → | ||
| 13–1 | 0.18 | 33% | 11 Aug → | ||
| 13–2 | 0.08 | 39% | 11 Aug → | ||
| 13–3 | 0.12 | 41% | 11 Aug → | ||
| 13–9 | 0.09 | 30% | 10 Aug → | ||
| 13–6 | 0.18 | 39% | 10 Aug → | ||
| 13–4 | 0.17 | 47% | 10 Aug → | ||
| 13–10 | 0.08 | 34% | 6 Aug → | ||
| 13–5 | 0.13 | 29% | 6 Aug → | ||
| 13–11 | 0.03 | 36% | 6 Aug → | ||
| 13–5 | 0.08 | 45% | 1 Aug → | ||
| 13–7 | 0.07 | 34% | 29 Jul → | ||
| 13–0 | 0.10 | 54% | 29 Jul → | ||
| 12–12 | 0.14 | 33% | 29 Jul → | ||
| 13–11 | 0.10 | 43% | 29 Jul → | ||
| 13–10 | 0.10 | 30% | 24 Jul → | ||
| 13–9 | 0.21 | 44% | 23 Jul → | ||
| 13–8 | 0.07 | 43% | 19 Jul → | ||
| 13–3 | 0.17 | 41% | 19 Jul → | ||
| 13–9 | 0.14 | 39% | 18 Jul → | ||
| 13–10 | 0.13 | 37% | 17 Jul → | ||
| 2–13 | -0.03 | 44% | 9 Jul → | ||
| 13–11 | 0.13 | 27% | 9 Jul → | ||
| 13–10 | 0.04 | 30% | 5 Jul → | ||
| 13–3 | 0.09 | 45% | 5 Jul → | ||
| italy | 13–9 | 0.09 | 23% | 5 Jul → | |
| 11–13 | 0.04 | 40% | 29 Jun → | ||
| 13–8 | 0.04 | 33% | 29 Jun → | ||
| 13–1 | 0.16 | 30% | 29 Jun → | ||
| 13–7 | 0.12 | 36% | 27 Jun → | ||
| 13–4 | 0.08 | 56% | 27 Jun → | ||
| 13–6 | 0.19 | 32% | 24 Jun → | ||
| 13–3 | 0.05 | 23% | 24 Jun → | ||
| 13–9 | 0.13 | 34% | 23 Jun → | ||
| 13–3 | 0.08 | 44% | 19 Jun → | ||
| 13–3 | 0.16 | 46% | 19 Jun → | ||
| 13–10 | 0.07 | 40% | 19 Jun → | ||
| 13–7 | 0.08 | 48% | 18 Jun → | ||
| 13–1 | 0.22 | 40% | 15 Jun → | ||
| 13–6 | 0.10 | 36% | 15 Jun → | ||
| 13–11 | 0.10 | 41% | 15 Jun → | ||
| 13–10 | 0.08 | 40% | 15 Jun → | ||
| 10–13 | 0.06 | 19% | 8 Jun → | ||
| 13–3 | 0.16 | 24% | 7 Jun → | ||
| 13–4 | 0.09 | 31% | 6 Jun → | ||
| 12–12 | 0.08 | 27% | 6 Jun → | ||
| 13–3 | 0.15 | 32% | 3 Jun → | ||
| 10–13 | 0.09 | 37% | 3 Jun → | ||
| 13–1 | 0.05 | 38% | 3 Jun → | ||
| 12–12 | 0.07 | 31% | 3 Jun → | ||
| 13–8 | 0.16 | 71% | 2 Jun → | ||
| 12–12 | 0.06 | 47% | 2 Jun → | ||
| 9–13 | 0.09 | 35% | 1 Jun → | ||
| 11–13 | 0.01 | 37% | 1 Jun → | ||
| 13–6 | 0.10 | 35% | 1 Jun → | ||
| 13–9 | -0.00 | 32% | 1 Jun → | ||
| 13–6 | 0.19 | 34% | 28 May → | ||
| 13–3 | 0.16 | 38% | 28 May → | ||
| 13–1 | 0.12 | 46% | 28 May → | ||
| 4–13 | -0.05 | 30% | 27 May → | ||
| 12–16 | -0.00 | 33% | 27 May → | ||
| 13–5 | 0.01 | 48% | 27 May → | ||
| 13–2 | 0.05 | 35% | 27 May → | ||
| 9–13 | 0.03 | 48% | 26 May → | ||
| 13–10 | 0.15 | 37% | 25 May → | ||
| 13–7 | -0.01 | 38% | 25 May → | ||
| 13–4 | 0.12 | 36% | 24 May → | ||
| 12–12 | 0.09 | 30% | 24 May → | ||
| 13–7 | 0.15 | 42% | 21 May → | ||
| 13–8 | 0.07 | 43% | 21 May → | ||
| 13–6 | 0.11 | 38% | 18 May → | ||
| 13–5 | -0.00 | 31% | 18 May → | ||
| 13–1 | 0.14 | 33% | 18 May → | ||
| 12–12 | 0.16 | 44% | 17 May → | ||
| 13–0 | 0.05 | 35% | 17 May → | ||
| 13–0 | 0.13 | 32% | 17 May → | ||
| 13–8 | 0.13 | 39% | 17 May → | ||
| 9–2 | 0.04 | 26% | 17 May → | ||
| 12–1 | 0.08 | 55% | 16 May → | ||
| 10–13 | 0.13 | 51% | 16 May → | ||
| 13–1 | 0.09 | 34% | 16 May → | ||
| 13–1 | 0.14 | 33% | 15 May → |
Match data via Leetify.