nekatsim — CS2 Stats
US76561198020583355[U:1:60317627]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 49.6% | 52.8% |
| Shot accuracy | 1.7% | 13.7% |
| Kill/death ratio | 1.01 | 1.08 |
| Match win rate | 49.6% | 49.2% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 ZywOo 96% playstyle similarity
Most alike: opening-duel success, 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 86 — the mechanical foundation is a clear strength.
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 7.5/10 (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 |
|---|---|---|---|---|---|
| C | 27 | 12–15 | 44% | 0.02 | |
| C | 24 | 9–15 | 38% | 0.00 | |
| C | 12 | 5–7 | 42% | 0.02 | |
| B | 12 | 6–6 | 50% | 0.01 | |
| S | 11 | 10–1 | 91% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.04 | |
| S | 6 | 5–1 | 83% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Mirage 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 285 | 48% | 0.99 | 14.2 |
| Dust2 | 251 | 54% | 1.10 | 15.8 |
| Ancient | 183 | 56% | 1.04 | 14.9 |
| Inferno | 139 | 44% | 1.03 | 15.3 |
| Anubis | 107 | 44% | 1.04 | 14.6 |
| Nuke | 61 | 61% | 1.07 | 14.6 |
| Overpass | 24 | 54% | 1.03 | 17.7 |
| Vertigo | 21 | 52% | 1.23 | 15.6 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.08 | 22% | 28 Aug → | ||
| 13–11 | 0.01 | 24% | 28 Aug → | ||
| 9–13 | -0.01 | 17% | 27 Aug → | ||
| 13–5 | 0.07 | 30% | 27 Aug → | ||
| 13–10 | 0.01 | 23% | 27 Aug → | ||
| 9–13 | -0.01 | 33% | 26 Aug → | ||
| 13–11 | -0.01 | 20% | 25 Aug → | ||
| 13–5 | 0.05 | 30% | 25 Aug → | ||
| 13–3 | 0.04 | 20% | 25 Aug → | ||
| 13–3 | 0.06 | 26% | 25 Aug → | ||
| 9–13 | 0.01 | 16% | 24 Aug → | ||
| 12–12 | 0.08 | 31% | 24 Aug → | ||
| 9–13 | -0.06 | 27% | 24 Aug → | ||
| 13–2 | -0.02 | 25% | 21 Aug → | ||
| 13–3 | 0.07 | 41% | 21 Aug → | ||
| 13–2 | 0.07 | 19% | 21 Aug → | ||
| 7–13 | -0.01 | 27% | 21 Aug → | ||
| 4–13 | 0.03 | 24% | 21 Aug → | ||
| 13–1 | 0.02 | 16% | 20 Aug → | ||
| 13–3 | 0.03 | 24% | 20 Aug → | ||
| 9–13 | 0.13 | 22% | 20 Aug → | ||
| 13–10 | 0.05 | 22% | 20 Aug → | ||
| 13–8 | 0.07 | 17% | 19 Aug → | ||
| 8–13 | 0.02 | 26% | 19 Aug → | ||
| 13–3 | 0.05 | 22% | 18 Aug → | ||
| 10–13 | 0.01 | 19% | 17 Aug → | ||
| 11–13 | -0.03 | 29% | 17 Aug → | ||
| 13–5 | 0.03 | 26% | 16 Aug → | ||
| 13–9 | 0.01 | 33% | 16 Aug → | ||
| 13–7 | 0.02 | 41% | 16 Aug → | ||
| 11–13 | -0.07 | 10% | 13 Aug → | ||
| 13–6 | 0.09 | 24% | 13 Aug → | ||
| 13–10 | 0.07 | 23% | 12 Aug → | ||
| 7–13 | -0.02 | 20% | 12 Aug → | ||
| 25–23 | 0.00 | 27% | 10 Aug → | ||
| 2–13 | -0.07 | 23% | 9 Aug → | ||
| 10–13 | -0.08 | 15% | 8 Aug → | ||
| 13–7 | -0.00 | 12% | 7 Aug → | ||
| 1–13 | -0.10 | 7% | 6 Aug → | ||
| 12–16 | 0.00 | 26% | 6 Aug → | ||
| 10–13 | -0.04 | 18% | 6 Aug → | ||
| 8–13 | -0.00 | 26% | 6 Aug → | ||
| 13–8 | -0.03 | 9% | 6 Aug → | ||
| 1–13 | -0.03 | 27% | 4 Aug → | ||
| 2–13 | -0.07 | 10% | 4 Aug → | ||
| 13–8 | 0.04 | 26% | 2 Aug → | ||
| 13–7 | -0.02 | 10% | 2 Aug → | ||
| 13–11 | -0.03 | 17% | 2 Aug → | ||
| 5–13 | 0.00 | 22% | 1 Aug → | ||
| 11–13 | 0.07 | 23% | 1 Aug → | ||
| 15–15 | 0.11 | 17% | 1 Aug → | ||
| 13–10 | -0.03 | 20% | 1 Aug → | ||
| 11–13 | -0.02 | 28% | 1 Aug → | ||
| 11–13 | 0.04 | 21% | 31 Jul → | ||
| 13–5 | 0.18 | 35% | 31 Jul → | ||
| 13–4 | 0.10 | 31% | 31 Jul → | ||
| 6–13 | 0.02 | 20% | 31 Jul → | ||
| 13–5 | 0.08 | 31% | 31 Jul → | ||
| 7–13 | 0.02 | 15% | 30 Jul → | ||
| 13–8 | 0.01 | 27% | 30 Jul → | ||
| 6–13 | -0.01 | 27% | 30 Jul → | ||
| 13–10 | 0.10 | 16% | 29 Jul → | ||
| 8–13 | 0.08 | 22% | 29 Jul → | ||
| 8–13 | 0.03 | 26% | 29 Jul → | ||
| 13–4 | 0.02 | 31% | 29 Jul → | ||
| 13–6 | 0.01 | 16% | 29 Jul → | ||
| 13–4 | 0.02 | 38% | 29 Jul → | ||
| 13–10 | 0.01 | 18% | 29 Jul → | ||
| 11–13 | 0.02 | 19% | 29 Jul → | ||
| 13–5 | 0.07 | 23% | 27 Jul → | ||
| 13–10 | 0.08 | 28% | 27 Jul → | ||
| 10–13 | 0.08 | 18% | 27 Jul → | ||
| 11–13 | 0.06 | 27% | 26 Jul → | ||
| 13–4 | 0.01 | 18% | 26 Jul → | ||
| 10–13 | -0.02 | 25% | 26 Jul → | ||
| 13–6 | -0.00 | 18% | 26 Jul → | ||
| 13–10 | 0.08 | 23% | 26 Jul → | ||
| 13–11 | 0.04 | 15% | 26 Jul → | ||
| 5–13 | -0.03 | 41% | 26 Jul → | ||
| 13–8 | 0.01 | 26% | 26 Jul → | ||
| 4–13 | -0.07 | 25% | 26 Jul → | ||
| 10–13 | 0.03 | 24% | 26 Jul → | ||
| 13–5 | 0.08 | 21% | 26 Jul → | ||
| 13–11 | 0.01 | 23% | 26 Jul → | ||
| 13–16 | 0.01 | 24% | 26 Jul → | ||
| 4–13 | -0.07 | 9% | 26 Jul → | ||
| 6–13 | -0.09 | 21% | 26 Jul → | ||
| 13–2 | 0.04 | 31% | 26 Jul → | ||
| 13–9 | 0.04 | 9% | 26 Jul → | ||
| 5–13 | -0.01 | 17% | 26 Jul → | ||
| 7–13 | 0.02 | 23% | 25 Jul → | ||
| 7–13 | -0.00 | 22% | 25 Jul → | ||
| 13–4 | -0.02 | 46% | 25 Jul → | ||
| 5–13 | -0.06 | 19% | 25 Jul → | ||
| 5–13 | -0.02 | 20% | 25 Jul → | ||
| 16–14 | -0.00 | 21% | 25 Jul → | ||
| 13–6 | 0.07 | 12% | 25 Jul → | ||
| 11–13 | -0.04 | 22% | 24 Jul → | ||
| 13–11 | -0.06 | 15% | 24 Jul → | ||
| 13–2 | -0.01 | 31% | 24 Jul → |
Match data via Leetify.