Nehs — CS2 Stats
US76561198274707598[U:1:314441870]Steam profile ↗1 game ban
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 46.6% | 42.5% | 44.2% | above |
| Shot accuracy | 15.1% | 10.9% | 11.2% | above |
| Kill/death ratio | 0.99 | 0.99 | 1.04 | 0.05 short |
| Match win rate | 44.1% | 44.2% | 45.3% | 1.1% short |
This profile matches the typical Level 5 player on 2 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 Twistzz 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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
Areas to improve
T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 5.7/10 (Solid), 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 93 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 |
|---|---|---|---|---|---|
| C | 26 | 11–15 | 42% | -0.01 | |
| B | 19 | 9–10 | 47% | -0.01 | |
| C | 17 | 7–10 | 41% | -0.01 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.01 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.00 |
Across the last 93 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
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 32.6489% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.01 | 40% | 28 Aug → | ||
| 1–13 | -0.06 | 17% | 28 Aug → | ||
| 13–16 | -0.07 | 16% | 13 Jul → | ||
| 16–12 | -0.04 | 21% | 26 Jun → | ||
| 8–13 | -0.01 | 27% | 19 Jun → | ||
| 9–13 | 0.01 | 26% | 11 Jun → | ||
| 13–9 | 0.04 | 27% | 5 May → | ||
| 5–13 | -0.01 | 17% | 2 May → | ||
| 3–13 | -0.05 | 20% | 2 May → | ||
| 13–5 | 0.02 | 15% | 2 May → | ||
| 8–13 | 0.01 | 23% | 2 May → | ||
| 13–5 | 0.06 | 26% | 30 Apr → | ||
| 13–5 | 0.03 | 24% | 28 Apr → | ||
| 13–10 | 0.02 | 47% | 28 Apr → | ||
| 13–10 | -0.00 | 10% | 28 Apr → | ||
| 5–12 | -0.04 | 29% | 23 Apr → | ||
| 13–9 | 0.12 | 33% | 23 Apr → | ||
| 7–13 | -0.01 | 25% | 23 Apr → | ||
| 14–16 | -0.04 | 30% | 19 Apr → | ||
| 8–13 | -0.05 | 20% | 18 Apr → | ||
| 13–6 | -0.02 | 17% | 18 Apr → | ||
| 13–11 | -0.09 | 7% | 15 Apr → | ||
| 13–16 | 0.02 | 29% | 14 Apr → | ||
| 7–13 | -0.02 | 28% | 13 Apr → | ||
| 13–10 | -0.09 | 18% | 13 Apr → | ||
| 10–13 | -0.01 | 20% | 11 Apr → | ||
| 13–7 | 0.02 | 24% | 11 Apr → | ||
| 9–13 | -0.01 | 27% | 11 Apr → | ||
| 4–13 | -0.02 | 29% | 11 Apr → | ||
| 11–13 | 0.06 | 21% | 11 Apr → | ||
| 13–11 | -0.03 | 23% | 9 Apr → | ||
| 10–13 | -0.01 | 26% | 9 Apr → | ||
| 6–13 | -0.02 | 28% | 8 Apr → | ||
| 3–13 | -0.03 | 38% | 8 Apr → | ||
| 13–3 | 0.07 | 11% | 5 Apr → | ||
| 13–7 | 0.04 | 33% | 5 Apr → | ||
| 13–7 | 0.00 | 28% | 5 Apr → | ||
| 13–10 | 0.02 | 33% | 5 Apr → | ||
| 13–11 | 0.06 | 16% | 4 Apr → | ||
| 13–9 | 0.02 | 30% | 2 Apr → | ||
| 9–13 | -0.01 | 20% | 29 Mar → | ||
| 13–11 | 0.01 | 16% | 29 Mar → | ||
| 6–13 | -0.10 | 39% | 29 Mar → | ||
| 16–13 | 0.07 | 28% | 25 Mar → | ||
| 4–13 | -0.06 | 25% | 24 Mar → | ||
| 3–13 | -0.03 | 29% | 23 Mar → | ||
| 11–13 | 0.08 | 29% | 22 Mar → | ||
| 5–13 | 0.02 | 32% | 22 Mar → | ||
| 15–15 | -0.02 | 24% | 22 Mar → | ||
| 14–16 | 0.03 | 34% | 22 Mar → | ||
| 13–9 | 0.02 | 32% | 22 Mar → | ||
| 2–13 | -0.07 | 10% | 22 Mar → | ||
| 8–13 | -0.05 | 44% | 22 Mar → | ||
| 5–13 | -0.06 | 25% | 22 Mar → | ||
| 10–13 | -0.01 | 19% | 22 Mar → | ||
| 12–12 | 0.09 | 43% | 19 Mar → | ||
| 13–4 | 0.04 | 35% | 15 Mar → | ||
| 15–15 | -0.08 | 26% | 15 Mar → | ||
| 6–13 | -0.04 | 20% | 14 Mar → | ||
| 13–11 | -0.01 | 18% | 14 Mar → | ||
| 13–11 | 0.07 | 24% | 14 Mar → | ||
| 9–13 | -0.08 | 21% | 11 Mar → | ||
| 13–4 | 0.01 | 30% | 2 Feb → | ||
| 10–13 | 0.02 | 25% | 12 Jan → | ||
| 9–13 | -0.02 | 17% | 12 Jan → | ||
| 9–13 | -0.01 | 24% | 12 Jan → | ||
| 13–10 | -0.01 | 21% | 7 Jan → | ||
| 7–13 | -0.01 | 31% | 7 Jan → | ||
| 15–15 | 0.01 | 37% | 7 Jan → | ||
| 7–13 | 0.09 | 42% | 7 Jan → | ||
| 13–7 | 0.00 | 34% | 28 Dec → | ||
| 8–13 | -0.01 | 27% | 28 Dec → | ||
| 13–11 | -0.01 | 33% | 27 Dec → | ||
| 13–11 | 0.03 | 30% | 22 Dec → | ||
| 5–13 | -0.04 | 32% | 20 Dec → | ||
| 13–8 | -0.01 | 43% | 20 Dec → | ||
| 7–13 | -0.03 | 33% | 18 Dec → | ||
| 14–16 | -0.00 | 24% | 17 Dec → | ||
| 7–13 | -0.06 | 40% | 17 Dec → | ||
| 13–10 | -0.01 | 29% | 17 Dec → | ||
| 13–9 | 0.03 | 25% | 17 Dec → | ||
| 13–7 | -0.04 | 32% | 17 Dec → | ||
| 5–13 | -0.00 | 42% | 17 Dec → | ||
| 13–4 | 0.05 | 29% | 4 Dec → | ||
| 6–13 | -0.06 | 22% | 18 Nov → | ||
| 13–7 | 0.19 | 27% | 8 Nov → | ||
| 12–6 | 0.04 | 39% | 8 Nov → | ||
| 9–13 | 0.00 | 28% | 20 Oct → | ||
| 13–8 | 0.06 | 29% | 16 May → | ||
| 5–13 | 0.00 | 29% | 17 Mar → | ||
| 10–13 | 0.00 | 16% | 17 Mar → | ||
| 13–6 | 0.00 | 34% | 17 Mar → | ||
| 13–7 | 0.00 | 24% | 26 Jan → |
Match data via Leetify.
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