nixoon — CS2 Stats
76561198133084404[U:1:172818676]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective 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 NiKo 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile.
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
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 630ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| B | 29 | 15–14 | 52% | -0.01 | |
| A | 22 | 12–10 | 55% | -0.01 | |
| B | 18 | 9–9 | 50% | -0.01 | |
| A | 12 | 7–5 | 58% | -0.01 | |
| A | 7 | 4–3 | 57% | -0.04 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 197 | 62% | 0.90 | 14.8 |
| Dust2 | 184 | 58% | 0.95 | 14.9 |
| Nuke | 107 | 54% | 0.97 | 14.3 |
| Inferno | 54 | 65% | 1.03 | 14.5 |
| Ancient | 30 | 57% | 1.12 | 15.7 |
| Train | 24 | 67% | 1.05 | 14.0 |
| Anubis | 22 | 41% | 0.85 | 14.8 |
| Overpass | 9 | 78% | 1.08 | 17.9 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 32.3444% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.04 | 11% | 12 May → | ||
| 8–13 | -0.04 | 15% | 26 Apr → | ||
| 2–13 | -0.02 | 11% | 26 Apr → | ||
| 16–14 | 0.07 | 13% | 8 Apr → | ||
| 5–13 | -0.04 | 13% | 7 Mar → | ||
| 13–10 | 0.01 | 13% | 24 Feb → | ||
| 7–13 | 0.05 | 21% | 11 Feb → | ||
| 3–13 | -0.08 | 8% | 11 Feb → | ||
| 11–13 | -0.04 | 11% | 10 Feb → | ||
| 10–13 | 0.02 | 16% | 7 Feb → | ||
| 19–22 | -0.04 | 17% | 7 Feb → | ||
| 3–13 | -0.03 | 25% | 2 Feb → | ||
| 5–13 | -0.02 | 20% | 31 Jan → | ||
| 13–6 | -0.00 | 10% | 30 Jan → | ||
| 13–9 | 0.06 | 27% | 25 Jan → | ||
| 16–14 | -0.00 | 17% | 11 Jan → | ||
| 13–16 | -0.03 | 19% | 10 Jan → | ||
| 7–13 | 0.02 | 40% | 7 Jan → | ||
| 10–13 | 0.02 | 14% | 3 Jan → | ||
| 13–1 | 0.02 | 18% | 2 Jan → | ||
| 16–14 | -0.04 | 16% | 19 Dec → | ||
| 14–16 | -0.01 | 18% | 11 Dec → | ||
| 20–22 | -0.02 | 16% | 2 Dec → | ||
| 13–5 | -0.01 | 11% | 29 Nov → | ||
| 13–8 | 0.01 | 50% | 28 Nov → | ||
| 10–13 | -0.04 | 14% | 23 Nov → | ||
| 3–13 | 0.00 | 26% | 14 Nov → | ||
| 9–13 | -0.06 | 18% | 23 Oct → | ||
| 19–17 | -0.00 | 18% | 29 Sept → | ||
| 13–10 | 0.02 | 23% | 29 Aug → | ||
| 13–6 | -0.05 | 17% | 10 Aug → | ||
| 13–7 | 0.03 | 24% | 10 Aug → | ||
| 13–5 | -0.01 | 27% | 8 Aug → | ||
| 13–6 | 0.01 | 32% | 8 Aug → | ||
| 13–4 | 0.04 | 36% | 8 Aug → | ||
| 11–13 | 0.00 | 19% | 3 Aug → | ||
| 11–13 | -0.06 | 20% | 25 Jul → | ||
| 13–5 | 0.03 | 29% | 25 Jul → | ||
| 13–6 | 0.07 | 21% | 25 Jul → | ||
| 13–11 | -0.02 | 11% | 24 Jul → | ||
| 7–13 | -0.03 | 29% | 21 Jul → | ||
| 13–3 | 0.04 | 33% | 21 Jul → | ||
| 6–13 | -0.07 | 27% | 20 Jul → | ||
| 13–6 | 0.00 | 21% | 20 Jul → | ||
| 11–13 | -0.02 | 16% | 19 Jul → | ||
| 7–13 | 0.01 | 19% | 15 Jul → | ||
| 16–14 | 0.01 | 23% | 14 Jul → | ||
| 13–5 | 0.04 | 23% | 11 Jul → | ||
| 13–9 | -0.02 | 18% | 11 Jul → | ||
| 11–13 | -0.02 | 19% | 6 Jul → | ||
| 13–10 | -0.02 | 28% | 6 Jul → | ||
| 13–11 | -0.02 | 24% | 4 Jul → | ||
| 13–5 | 0.07 | 23% | 29 Jun → | ||
| 7–13 | 0.01 | 22% | 29 Jun → | ||
| 13–8 | 0.04 | 24% | 29 Jun → | ||
| 8–13 | -0.03 | 25% | 29 Jun → | ||
| 6–13 | 0.02 | 28% | 26 Jun → | ||
| 13–7 | 0.06 | 25% | 22 Jun → | ||
| 13–6 | -0.05 | 26% | 22 Jun → | ||
| 13–9 | 0.02 | 26% | 22 Jun → | ||
| 3–13 | -0.06 | 17% | 8 Jun → | ||
| 13–10 | 0.03 | 20% | 8 Jun → | ||
| 3–13 | -0.06 | 30% | 8 Jun → | ||
| 13–3 | 0.03 | 21% | 11 May → | ||
| 11–13 | -0.02 | 28% | 6 May → | ||
| 7–13 | -0.06 | 31% | 27 Apr → | ||
| 13–7 | -0.01 | 16% | 20 Apr → | ||
| 13–4 | 0.01 | 44% | 9 Apr → | ||
| 16–13 | 0.01 | 26% | 23 Mar → | ||
| 5–13 | -0.02 | 15% | 5 Jan → | ||
| 3–13 | -0.03 | 18% | 22 Dec → | ||
| 11–13 | 0.01 | 44% | 22 Dec → | ||
| 13–9 | -0.05 | 18% | 28 Aug → | ||
| 13–7 | -0.02 | 48% | 28 Aug → | ||
| 13–16 | -0.13 | 16% | 14 Aug → | ||
| 11–13 | -0.03 | 21% | 14 Aug → | ||
| 13–7 | -0.02 | 38% | 7 Aug → | ||
| 13–7 | -0.01 | 37% | 8 Mar → | ||
| 7–13 | -0.01 | 29% | 8 Mar → | ||
| 13–5 | 0.01 | 18% | 2 Mar → | ||
| 13–5 | -0.03 | 30% | 2 Mar → | ||
| 13–7 | 0.02 | 43% | 2 Mar → | ||
| 9–13 | -0.06 | 37% | 25 Feb → | ||
| 13–9 | -0.03 | 32% | 25 Feb → | ||
| 13–10 | -0.07 | 24% | 22 Feb → | ||
| 13–11 | -0.02 | 26% | 18 Feb → | ||
| 13–8 | -0.01 | 19% | 18 Feb → | ||
| 13–4 | -0.04 | 18% | 18 Feb → | ||
| 8–13 | -0.07 | 29% | 18 Feb → | ||
| 10–13 | -0.04 | 26% | 17 Feb → | ||
| 19–22 | -0.09 | 18% | 16 Feb → | ||
| 13–10 | -0.02 | 38% | 16 Feb → | ||
| 13–7 | 0.01 | 30% | 13 Feb → | ||
| 16–13 | 0.03 | 17% | 10 Feb → | ||
| 13–11 | -0.04 | 37% | 10 Feb → | ||
| 17–19 | 0.04 | 24% | 10 Feb → | ||
| 13–3 | -0.02 | 40% | 27 Jan → | ||
| 13–6 | 0.00 | 45% | 27 Jan → | ||
| 13–8 | 0.01 | 29% | 19 Jan → | ||
| 13–9 | -0.02 | 23% | 6 Jan → |
Match data via Leetify.
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