Ne6n — CS2 Stats
76561198322178248[U:1:361912520]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.06 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 97% 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 93 — the mechanical foundation is a clear strength.
CT openings. 78% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 78% on CT to 34% 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 8.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 27 | 14–13 | 52% | 0.06 | |
| A | 15 | 9–6 | 60% | 0.06 | |
| C | 15 | 6–9 | 40% | 0.06 | |
| B | 14 | 7–7 | 50% | 0.07 | |
| B | 10 | 5–5 | 50% | 0.08 | |
| D | 6 | 2–4 | 33% | 0.07 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.06 | |
| — | 1 | 0–1 | 0% | 0.08 | |
| office | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 217 | 57% | 1.24 | 16.9 |
| Anubis | 95 | 53% | 1.22 | 16.4 |
| Ancient | 88 | 61% | 1.22 | 16.7 |
| Dust2 | 87 | 48% | 1.04 | 14.9 |
| Inferno | 50 | 64% | 1.25 | 16.3 |
| Vertigo | 41 | 63% | 1.26 | 20.1 |
| Nuke | 35 | 46% | 1.06 | 17.5 |
| Overpass | 19 | 58% | 1.20 | 18.4 |
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 34.4048% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.09 | 50% | 28 Aug → | ||
| 6–13 | -0.06 | 40% | 28 Aug → | ||
| 13–8 | 0.00 | 21% | 28 Aug → | ||
| 9–13 | 0.08 | 29% | 28 Aug → | ||
| 13–11 | 0.12 | 28% | 27 Aug → | ||
| 13–6 | -0.00 | 26% | 27 Aug → | ||
| 13–1 | 0.22 | 35% | 27 Aug → | ||
| 7–13 | 0.02 | 24% | 27 Aug → | ||
| 10–13 | 0.06 | 16% | 26 Aug → | ||
| 13–8 | 0.08 | 32% | 26 Aug → | ||
| 13–3 | 0.09 | 17% | 26 Aug → | ||
| 12–12 | 0.12 | 32% | 25 Aug → | ||
| 13–10 | 0.19 | 39% | 25 Aug → | ||
| 13–6 | 0.01 | 23% | 25 Aug → | ||
| 4–9 | 0.04 | 31% | 24 Aug → | ||
| 7–9 | 0.11 | 22% | 24 Aug → | ||
| 9–1 | 0.38 | 26% | 24 Aug → | ||
| 2–13 | 0.15 | 37% | 23 Aug → | ||
| 13–5 | 0.04 | 25% | 23 Aug → | ||
| 12–12 | 0.06 | 35% | 23 Aug → | ||
| 13–4 | 0.11 | 31% | 23 Aug → | ||
| 7–13 | 0.13 | 42% | 22 Aug → | ||
| 6–9 | -0.07 | 29% | 22 Aug → | ||
| 12–12 | 0.05 | 28% | 22 Aug → | ||
| 13–11 | 0.05 | 34% | 22 Aug → | ||
| 12–12 | 0.05 | 31% | 21 Aug → | ||
| 13–5 | 0.07 | 32% | 21 Aug → | ||
| 13–8 | 0.02 | 33% | 21 Aug → | ||
| 10–13 | 0.07 | 36% | 21 Aug → | ||
| 4–0 | -0.08 | 100% | 21 Aug → | ||
| 12–12 | 0.07 | 23% | 21 Aug → | ||
| 13–8 | 0.14 | 48% | 21 Aug → | ||
| 12–12 | 0.05 | 20% | 20 Aug → | ||
| 13–11 | 0.08 | 32% | 20 Aug → | ||
| 9–13 | 0.04 | 38% | 20 Aug → | ||
| 12–12 | 0.01 | 30% | 19 Aug → | ||
| 3–13 | 0.04 | 20% | 19 Aug → | ||
| 10–13 | 0.04 | 27% | 19 Aug → | ||
| 13–0 | 0.09 | 24% | 19 Aug → | ||
| 6–13 | 0.01 | 25% | 19 Aug → | ||
| 9–13 | 0.06 | 49% | 19 Aug → | ||
| 13–11 | 0.01 | 15% | 18 Aug → | ||
| 13–5 | 0.03 | 39% | 18 Aug → | ||
| 13–4 | 0.02 | 45% | 18 Aug → | ||
| 13–6 | -0.01 | 28% | 18 Aug → | ||
| 13–7 | 0.05 | 29% | 18 Aug → | ||
| 13–5 | 0.05 | 23% | 18 Aug → | ||
| 7–13 | 0.03 | 38% | 18 Aug → | ||
| 13–7 | 0.21 | 34% | 18 Aug → | ||
| 10–13 | -0.05 | 18% | 18 Aug → | ||
| 5–13 | 0.03 | 16% | 18 Aug → | ||
| 11–13 | 0.03 | 34% | 18 Aug → | ||
| 9–13 | 0.03 | 36% | 16 Aug → | ||
| 10–13 | 0.05 | 28% | 16 Aug → | ||
| 2–13 | 0.02 | 37% | 15 Aug → | ||
| office | 5–13 | -0.01 | 38% | 15 Aug → | |
| 9–13 | 0.03 | 23% | 15 Aug → | ||
| 12–12 | 0.01 | 30% | 15 Aug → | ||
| 4–13 | 0.02 | 55% | 14 Aug → | ||
| 10–13 | 0.02 | 18% | 14 Aug → | ||
| 12–12 | 0.05 | 30% | 14 Aug → | ||
| 10–13 | 0.08 | 33% | 14 Aug → | ||
| 12–12 | 0.16 | 35% | 13 Aug → | ||
| 13–6 | 0.03 | 37% | 13 Aug → | ||
| 8–13 | 0.03 | 20% | 13 Aug → | ||
| 13–1 | 0.15 | 20% | 13 Aug → | ||
| 2–13 | 0.10 | 43% | 13 Aug → | ||
| 13–5 | 0.15 | 40% | 13 Aug → | ||
| 2–13 | -0.00 | 40% | 13 Aug → | ||
| 13–4 | 0.15 | 30% | 12 Aug → | ||
| 13–9 | 0.04 | 34% | 12 Aug → | ||
| 7–2 | 0.00 | 35% | 12 Aug → | ||
| 13–5 | 0.15 | 25% | 12 Aug → | ||
| 2–13 | 0.06 | 21% | 12 Aug → | ||
| 13–4 | 0.01 | 18% | 11 Aug → | ||
| 13–8 | 0.03 | 15% | 11 Aug → | ||
| 13–2 | 0.08 | 36% | 11 Aug → | ||
| 13–9 | 0.02 | 31% | 11 Aug → | ||
| 9–13 | 0.04 | 33% | 11 Aug → | ||
| 13–8 | 0.03 | 17% | 11 Aug → | ||
| 11–13 | 0.11 | 30% | 11 Aug → | ||
| 13–9 | 0.10 | 41% | 10 Aug → | ||
| 13–11 | 0.11 | 35% | 10 Aug → | ||
| 0–13 | -0.01 | 28% | 10 Aug → | ||
| 9–13 | 0.15 | 38% | 10 Aug → | ||
| 11–13 | 0.14 | 29% | 10 Aug → | ||
| 9–13 | 0.04 | 25% | 10 Aug → | ||
| 8–13 | 0.01 | 23% | 9 Aug → | ||
| 13–8 | 0.03 | 39% | 9 Aug → | ||
| 3–13 | -0.02 | 29% | 9 Aug → | ||
| 13–0 | 0.10 | 16% | 9 Aug → | ||
| 13–6 | 0.01 | 35% | 9 Aug → | ||
| 13–5 | 0.05 | 12% | 9 Aug → | ||
| 0–13 | 0.02 | 55% | 8 Aug → | ||
| 13–9 | 0.07 | 31% | 8 Aug → | ||
| 13–6 | 0.08 | 43% | 8 Aug → | ||
| 13–11 | 0.07 | 31% | 7 Aug → | ||
| 13–3 | 0.07 | 43% | 6 Aug → | ||
| 4–13 | 0.09 | 44% | 6 Aug → | ||
| 13–4 | 0.10 | 26% | 6 Aug → |
Match data via Leetify.