xNanoEL6x — CS2 Stats
76561198401232815[U:1:440967087]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 b1t 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 90 — the mechanical foundation is a clear strength.
Areas to improve
T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 33 | 23–10 | 70% | 0.02 | |
| A | 24 | 14–10 | 58% | 0.04 | |
| B | 14 | 7–7 | 50% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.31 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (50% over 14). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 549 | 58% | 1.20 | 15.3 |
| Inferno | 396 | 61% | 1.30 | 15.9 |
| Nuke | 242 | 53% | 1.21 | 16.3 |
| Dust2 | 239 | 49% | 1.11 | 14.2 |
| Overpass | 166 | 57% | 1.21 | 15.6 |
| Anubis | 142 | 47% | 1.13 | 15.3 |
| Mirage | 41 | 32% | 1.09 | 14.9 |
| Train | 36 | 47% | 0.97 | 14.0 |
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 31.8788% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.01 | 24% | 17 Aug → | ||
| 13–6 | 0.01 | 15% | 13 Aug → | ||
| 14–16 | 0.02 | 31% | 11 Aug → | ||
| 13–8 | 0.09 | 24% | 8 Aug → | ||
| 9–13 | -0.03 | 18% | 6 Aug → | ||
| 13–3 | 0.11 | 18% | 30 Jul → | ||
| 13–1 | 0.05 | 30% | 28 Jul → | ||
| 2–13 | 0.02 | 14% | 27 Jul → | ||
| 13–7 | -0.00 | 23% | 10 Jun → | ||
| 13–9 | 0.05 | 22% | 25 May → | ||
| 13–4 | 0.02 | 13% | 23 May → | ||
| 4–13 | -0.01 | 20% | 16 May → | ||
| 13–8 | 0.03 | 40% | 9 May → | ||
| 11–13 | -0.01 | 21% | 3 May → | ||
| 13–8 | 0.09 | 20% | 3 May → | ||
| 7–13 | 0.03 | 14% | 2 May → | ||
| 11–13 | -0.00 | 23% | 29 Apr → | ||
| 13–6 | 0.07 | 14% | 19 Apr → | ||
| 13–6 | 0.07 | 21% | 19 Apr → | ||
| 17–19 | 0.00 | 15% | 15 Apr → | ||
| 13–0 | -0.03 | 21% | 1 Apr → | ||
| 13–2 | 0.01 | 16% | 29 Mar → | ||
| 13–10 | -0.04 | 16% | 28 Mar → | ||
| 8–13 | -0.05 | 36% | 21 Mar → | ||
| 13–8 | 0.02 | 22% | 21 Mar → | ||
| 13–4 | 0.05 | 24% | 15 Mar → | ||
| 13–1 | 0.02 | 36% | 15 Mar → | ||
| 8–13 | 0.07 | 27% | 13 Mar → | ||
| 9–4 | 0.08 | 4% | 12 Mar → | ||
| 7–13 | -0.06 | 14% | 10 Mar → | ||
| 9–4 | 0.14 | 20% | 8 Mar → | ||
| 3–13 | -0.05 | 18% | 8 Mar → | ||
| 5–13 | 0.01 | 15% | 25 Feb → | ||
| 13–16 | 0.01 | 15% | 23 Feb → | ||
| 16–19 | -0.02 | 10% | 19 Feb → | ||
| 17–19 | 0.06 | 17% | 15 Feb → | ||
| 13–6 | 0.06 | 16% | 9 Feb → | ||
| 16–13 | 0.06 | 30% | 6 Feb → | ||
| 13–7 | 0.05 | 44% | 6 Feb → | ||
| 13–10 | 0.08 | 22% | 1 Feb → | ||
| 13–16 | -0.03 | 8% | 24 Jan → | ||
| 13–16 | -0.01 | 14% | 27 Dec → | ||
| 13–8 | 0.05 | 23% | 26 Dec → | ||
| 10–13 | 0.01 | 14% | 20 Dec → | ||
| 13–3 | 0.09 | 13% | 20 Dec → | ||
| 19–16 | -0.05 | 19% | 14 Dec → | ||
| 16–12 | 0.01 | 14% | 14 Dec → | ||
| 13–10 | 0.02 | 19% | 13 Dec → | ||
| 13–2 | 0.09 | 17% | 13 Dec → | ||
| 13–3 | 0.13 | 17% | 5 Dec → | ||
| 16–12 | 0.03 | 7% | 3 Dec → | ||
| 13–1 | 0.04 | 27% | 3 Dec → | ||
| 13–2 | 0.02 | 20% | 3 Dec → | ||
| 9–13 | -0.00 | 34% | 23 Nov → | ||
| 6–13 | -0.02 | 24% | 23 Nov → | ||
| 13–6 | 0.08 | 18% | 19 Nov → | ||
| 5–13 | -0.01 | 29% | 14 Nov → | ||
| 9–13 | 0.03 | 28% | 14 Nov → | ||
| 6–13 | -0.00 | 17% | 14 Nov → | ||
| 8–13 | -0.05 | 30% | 14 Nov → | ||
| 13–9 | 0.03 | 32% | 30 Oct → | ||
| 13–9 | 0.04 | 12% | 22 Oct → | ||
| 13–10 | 0.06 | 14% | 19 Oct → | ||
| 13–9 | -0.05 | 10% | 12 Oct → | ||
| 13–8 | 0.10 | 24% | 10 Oct → | ||
| 16–14 | 0.05 | 15% | 7 Oct → | ||
| 13–3 | 0.03 | 23% | 7 Oct → | ||
| 11–13 | -0.03 | 13% | 20 Sept → | ||
| 10–13 | -0.05 | 24% | 20 Sept → | ||
| 14–16 | 0.02 | 17% | 19 Sept → | ||
| 9–13 | 0.01 | 12% | 19 Sept → | ||
| 5–13 | 0.01 | 16% | 19 Sept → | ||
| 8–13 | -0.02 | 17% | 15 Sept → | ||
| 13–8 | 0.08 | 28% | 12 Sept → | ||
| 13–6 | 0.03 | 12% | 12 Sept → | ||
| 13–11 | -0.00 | 17% | 11 Sept → | ||
| 13–16 | 0.04 | 24% | 6 Sept → | ||
| 13–6 | 0.02 | 19% | 3 Sept → | ||
| 9–1 | 0.31 | 18% | 3 Sept → | ||
| 13–10 | 0.14 | 17% | 24 Aug → | ||
| 16–19 | -0.02 | 18% | 24 Aug → | ||
| 13–16 | -0.02 | 34% | 24 Aug → | ||
| 13–9 | 0.04 | 21% | 23 Aug → | ||
| 13–11 | 0.03 | 20% | 23 Aug → | ||
| 7–13 | -0.05 | 35% | 20 Aug → | ||
| 13–8 | 0.08 | 25% | 20 Aug → | ||
| 13–5 | 0.01 | 14% | 20 Aug → | ||
| 13–4 | 0.02 | 25% | 20 Aug → | ||
| 13–6 | 0.05 | 11% | 20 Aug → | ||
| 13–11 | 0.00 | 21% | 18 Aug → | ||
| 10–13 | 0.03 | 20% | 8 Aug → | ||
| 13–9 | 0.04 | 16% | 2 Aug → | ||
| 16–14 | -0.03 | 11% | 2 Aug → | ||
| 13–9 | 0.05 | 18% | 26 Jul → | ||
| 7–13 | -0.01 | 19% | 15 Jul → | ||
| 10–13 | -0.02 | 35% | 5 Jul → | ||
| 25–22 | 0.03 | 10% | 29 Jun → | ||
| 11–13 | 0.03 | 16% | 29 Jun → | ||
| 7–13 | 0.00 | 19% | 29 Jun → | ||
| 13–0 | 0.11 | 24% | 28 Jun → |
Match data via Leetify.
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