Nervosity — CS2 Stats
CA76561198018722753[U:1:58457025]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 37.8% | 46.1% | 47.0% | 9.2% short |
| Shot accuracy | 17.6% | 12.6% | 12.7% | above |
| Kill/death ratio | 1.31 | 1.05 | 1.07 | above |
| Match win rate | 49.4% | 45.7% | 46.4% | above |
This profile matches the typical Level 8 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 8 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: -30pp win rate · -0.04 avg rating
Player DNA
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 81% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
Areas to improve
Reaction time. 645ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 24 | 12–12 | 50% | 0.03 | |
| A | 22 | 12–10 | 55% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| B | 12 | 6–6 | 50% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 17 | 41% | 0.97 | 15.3 |
| Inferno | 17 | 24% | 1.07 | 16.0 |
| Mirage | 17 | 53% | 1.09 | 17.6 |
| Dust2 | 15 | 33% | 0.97 | 15.2 |
| Anubis | 7 | 43% | 1.13 | 16.7 |
| Nuke | 6 | 67% | 1.46 | 22.0 |
| Train | 5 | 60% | 2.05 | 21.4 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.1277° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6223% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–13 | -0.08 | 19% | 5 Jul → | ||
| 13–9 | 0.01 | 28% | 5 Jul → | ||
| 9–13 | -0.02 | 38% | 5 Jul → | ||
| 8–13 | -0.10 | 0% | 5 Jul → | ||
| 10–13 | -0.00 | 14% | 19 Jun → | ||
| 13–7 | -0.03 | 9% | 9 May → | ||
| 6–13 | -0.08 | 7% | 15 Mar → | ||
| 13–11 | 0.01 | 14% | 15 Mar → | ||
| 5–13 | -0.01 | 14% | 14 Mar → | ||
| 13–16 | -0.01 | 17% | 9 Mar → | ||
| 5–13 | 0.00 | 7% | 23 Feb → | ||
| 13–7 | 0.03 | 16% | 23 Feb → | ||
| 13–6 | -0.01 | 13% | 22 Feb → | ||
| 13–9 | 0.06 | 14% | 22 Feb → | ||
| 12–12 | -0.06 | 13% | 21 Feb → | ||
| 13–8 | 0.04 | 19% | 21 Feb → | ||
| 13–2 | 0.04 | 12% | 21 Feb → | ||
| 2–13 | -0.05 | 18% | 20 Feb → | ||
| 13–3 | 0.04 | 2% | 19 Feb → | ||
| 7–13 | 0.03 | 15% | 19 Feb → | ||
| 11–13 | -0.02 | 10% | 18 Feb → | ||
| 13–6 | 0.05 | 5% | 18 Feb → | ||
| 13–7 | -0.00 | 13% | 17 Feb → | ||
| 12–12 | -0.03 | 6% | 17 Feb → | ||
| 13–7 | -0.09 | 8% | 17 Feb → | ||
| 13–4 | 0.05 | 9% | 17 Feb → | ||
| 13–11 | -0.04 | 3% | 16 Feb → | ||
| 13–5 | -0.06 | 7% | 15 Feb → | ||
| 11–13 | 0.02 | 14% | 15 Feb → | ||
| 13–6 | 0.03 | 10% | 15 Feb → | ||
| 13–10 | 0.07 | 13% | 15 Feb → | ||
| 9–13 | -0.03 | 10% | 14 Feb → | ||
| 13–7 | 0.04 | 10% | 14 Feb → | ||
| 7–13 | -0.01 | 15% | 14 Feb → | ||
| 5–13 | -0.03 | 12% | 14 Feb → | ||
| 10–13 | -0.05 | 13% | 14 Feb → | ||
| 10–13 | 0.02 | 7% | 14 Feb → | ||
| 6–13 | 0.02 | 11% | 13 Feb → | ||
| 8–13 | -0.05 | 12% | 13 Feb → | ||
| 13–16 | -0.06 | 5% | 12 Feb → | ||
| 8–13 | -0.01 | 15% | 12 Feb → | ||
| 6–13 | -0.01 | 13% | 12 Feb → | ||
| 10–13 | 0.04 | 12% | 12 Feb → | ||
| 13–8 | 0.06 | 13% | 10 Feb → | ||
| 9–13 | -0.07 | 10% | 8 Feb → | ||
| 11–13 | -0.06 | 15% | 8 Feb → | ||
| 13–11 | -0.01 | 23% | 8 Feb → | ||
| 13–6 | -0.05 | 19% | 8 Feb → | ||
| 6–13 | -0.06 | 3% | 8 Feb → | ||
| 11–13 | 0.02 | 17% | 7 Feb → | ||
| 13–6 | 0.02 | 7% | 7 Feb → | ||
| 13–8 | 0.04 | 10% | 7 Feb → | ||
| 13–6 | -0.06 | 8% | 7 Feb → | ||
| 13–6 | 0.00 | 18% | 7 Feb → | ||
| 13–8 | 0.01 | 11% | 7 Feb → | ||
| 13–5 | -0.08 | 10% | 7 Feb → | ||
| 13–3 | 0.09 | 14% | 7 Feb → | ||
| 9–4 | 0.06 | 20% | 7 Feb → | ||
| 9–1 | 0.14 | 12% | 7 Feb → | ||
| 11–13 | -0.06 | 16% | 5 Feb → | ||
| 8–13 | 0.03 | 9% | 5 Feb → | ||
| 7–13 | -0.03 | 18% | 4 Feb → | ||
| 13–16 | -0.04 | 5% | 4 Feb → | ||
| 5–13 | -0.04 | 11% | 4 Feb → | ||
| 16–13 | -0.03 | 1% | 3 Feb → | ||
| 13–6 | 0.04 | 5% | 3 Feb → | ||
| 15–15 | -0.02 | 8% | 1 Feb → | ||
| 9–13 | -0.05 | 11% | 1 Feb → | ||
| 13–9 | -0.05 | 19% | 1 Feb → | ||
| 13–6 | -0.08 | 16% | 1 Feb → | ||
| 13–7 | 0.01 | 11% | 1 Feb → | ||
| 13–7 | 0.03 | 7% | 31 Jan → | ||
| 11–13 | 0.03 | 17% | 31 Jan → | ||
| 9–13 | -0.02 | 13% | 31 Jan → | ||
| 13–11 | -0.00 | 9% | 31 Jan → | ||
| 9–13 | 0.07 | 18% | 31 Jan → | ||
| 11–13 | -0.03 | 24% | 31 Jan → | ||
| 13–7 | 0.06 | 11% | 31 Jan → | ||
| 13–9 | 0.01 | 14% | 31 Jan → | ||
| 13–9 | -0.02 | 19% | 30 Jan → | ||
| 13–10 | 0.05 | 13% | 29 Jan → | ||
| 15–15 | 0.06 | 9% | 29 Jan → | ||
| 13–10 | 0.06 | 8% | 29 Jan → | ||
| 13–7 | -0.05 | 19% | 28 Jan → | ||
| 9–13 | 0.00 | 15% | 27 Jan → | ||
| 16–12 | 0.03 | 11% | 27 Jan → | ||
| 7–13 | -0.07 | 8% | 26 Jan → | ||
| 8–13 | -0.02 | 14% | 26 Jan → | ||
| 13–5 | 0.03 | 22% | 26 Jan → | ||
| 13–4 | 0.04 | 12% | 25 Jan → | ||
| 16–14 | 0.06 | 15% | 25 Jan → | ||
| 13–7 | -0.01 | 11% | 25 Jan → | ||
| 9–13 | -0.06 | 12% | 25 Jan → | ||
| 15–15 | 0.05 | 11% | 25 Jan → | ||
| 12–16 | 0.02 | 5% | 25 Jan → | ||
| 5–9 | -0.01 | 7% | 24 Jan → | ||
| 6–13 | -0.04 | 11% | 24 Jan → | ||
| 15–15 | -0.07 | 7% | 24 Jan → | ||
| 13–16 | -0.01 | 12% | 24 Jan → | ||
| 13–10 | 0.00 | 17% | 24 Jan → |
Match data via Leetify.