Muty — CS2 Stats
76561198059806476[U:1:99540748]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 54.9% | 52.0% |
| Shot accuracy | 14.6% | 13.7% |
| Kill/death ratio | 1.03 | 1.08 |
| Match win rate | 70.2% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 620ms 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 5.0/10 (Developing), 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 | 34 | 18–16 | 53% | 0.00 | |
| B | 17 | 8–9 | 47% | -0.00 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| B | 10 | 5–5 | 50% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| office | C | 5 | 2–3 | 40% | 0.02 |
| — | 4 | 2–2 | 50% | -0.02 | |
| boulder | — | 1 | 0–1 | 0% | 0.02 |
| shelter | — | 1 | 1–0 | 100% | -0.00 |
| — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 0% | 0.94 | 17.0 |
| Anubis | 4 | 75% | 1.26 | 17.0 |
| Dust2 | 3 | 100% | 1.50 | 21.0 |
| Nuke | 2 | 0% | 0.75 | 11.5 |
| Ancient | 2 | 0% | 0.66 | 9.5 |
| Inferno | 2 | 100% | 1.59 | 17.5 |
| Overpass | 1 | 100% | 0.80 | 20.0 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6663° — above the 12° mark we flag
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 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.03 | 22% | 27 Aug → | ||
| 3–13 | -0.03 | 16% | 27 Aug → | ||
| 13–6 | -0.02 | 14% | 27 Aug → | ||
| 11–13 | 0.04 | 16% | 25 Aug → | ||
| 0–4 | 0.00 | 43% | 19 Aug → | ||
| 13–11 | -0.01 | 13% | 19 Aug → | ||
| 16–12 | 0.02 | 18% | 19 Aug → | ||
| 6–13 | -0.09 | 10% | 18 Aug → | ||
| 13–7 | -0.04 | 17% | 17 Aug → | ||
| 0–13 | -0.11 | 17% | 17 Aug → | ||
| 13–2 | 0.14 | 18% | 16 Aug → | ||
| 13–3 | 0.05 | 25% | 15 Aug → | ||
| 13–16 | 0.03 | 19% | 13 Aug → | ||
| 7–13 | -0.01 | 21% | 13 Aug → | ||
| 3–13 | -0.04 | 16% | 10 Aug → | ||
| 5–13 | -0.03 | 23% | 10 Aug → | ||
| 8–13 | -0.03 | 22% | 10 Aug → | ||
| 10–13 | 0.01 | 20% | 8 Aug → | ||
| 3–13 | 0.00 | 21% | 8 Aug → | ||
| 4–13 | -0.04 | 16% | 8 Aug → | ||
| 2–13 | -0.05 | 18% | 8 Aug → | ||
| 8–13 | -0.08 | 57% | 7 Aug → | ||
| 0–13 | -0.07 | 20% | 7 Aug → | ||
| 3–8 | -0.02 | 14% | 5 Aug → | ||
| 16–13 | -0.07 | 34% | 31 Jul → | ||
| 12–16 | -0.04 | 20% | 31 Jul → | ||
| 13–2 | 0.22 | 21% | 26 Jul → | ||
| boulder | 12–12 | 0.02 | 19% | 22 Jul → | |
| shelter | 13–5 | -0.00 | 31% | 22 Jul → | |
| 13–2 | 0.04 | 19% | 22 Jul → | ||
| 13–7 | 0.03 | 21% | 22 Jul → | ||
| 13–3 | 0.02 | 27% | 18 Jul → | ||
| 13–9 | 0.08 | 17% | 18 Jul → | ||
| 0–2 | 0.01 | 33% | 12 Jul → | ||
| 1–13 | -0.10 | 27% | 12 Jul → | ||
| 13–9 | 0.09 | 18% | 12 Jul → | ||
| 13–6 | -0.00 | 9% | 9 Jul → | ||
| 13–1 | 0.02 | 16% | 9 Jul → | ||
| 9–1 | -0.00 | 44% | 9 Jul → | ||
| office | 3–5 | 0.04 | 100% | 8 Jul → | |
| 12–3 | 0.03 | 10% | 8 Jul → | ||
| 13–7 | -0.00 | 22% | 8 Jul → | ||
| 13–6 | 0.10 | 27% | 5 Jul → | ||
| 13–2 | 0.04 | 17% | 4 Jul → | ||
| 0–2 | 0.05 | 100% | 3 Jul → | ||
| 2–5 | -0.06 | 15% | 3 Jul → | ||
| 6–13 | 0.01 | 21% | 18 Jun → | ||
| 13–11 | 0.00 | 26% | 18 Jun → | ||
| 13–3 | -0.02 | 29% | 17 Jun → | ||
| 10–13 | -0.07 | 22% | 17 Jun → | ||
| 7–13 | -0.02 | 18% | 17 Jun → | ||
| 13–6 | 0.11 | 23% | 14 Jun → | ||
| 11–13 | -0.06 | 17% | 10 Jun → | ||
| 11–13 | -0.04 | 36% | 10 Jun → | ||
| 13–4 | 0.02 | 48% | 10 Jun → | ||
| 11–13 | -0.03 | 19% | 9 Jun → | ||
| 8–13 | 0.01 | 42% | 3 Jun → | ||
| 13–11 | 0.04 | 21% | 3 Jun → | ||
| 11–13 | 0.04 | 17% | 27 May → | ||
| 13–2 | 0.01 | 11% | 27 May → | ||
| 13–9 | -0.01 | 19% | 27 May → | ||
| 9–13 | -0.00 | 23% | 22 May → | ||
| 2–0 | -0.01 | 0% | 22 May → | ||
| 13–5 | 0.02 | 15% | 22 May → | ||
| 13–11 | -0.02 | 27% | 20 May → | ||
| 12–12 | -0.01 | 21% | 20 May → | ||
| 13–3 | 0.06 | 32% | 20 May → | ||
| 13–3 | 0.04 | 26% | 20 May → | ||
| office | 13–9 | 0.03 | 25% | 13 May → | |
| office | 9–13 | 0.03 | 27% | 13 May → | |
| 13–7 | 0.01 | 14% | 13 May → | ||
| 13–11 | -0.00 | 20% | 12 May → | ||
| 12–12 | -0.00 | 25% | 12 May → | ||
| 9–13 | -0.01 | 19% | 5 May → | ||
| 10–13 | -0.06 | 25% | 5 May → | ||
| 1–13 | 0.01 | 26% | 5 May → | ||
| 3–13 | -0.08 | 16% | 5 May → | ||
| 12–12 | 0.02 | 20% | 2 May → | ||
| 8–13 | -0.03 | 20% | 23 Apr → | ||
| 2–13 | -0.05 | 5% | 23 Apr → | ||
| 13–9 | -0.02 | 14% | 21 Apr → | ||
| 13–11 | -0.02 | 7% | 21 Apr → | ||
| 13–6 | -0.07 | 19% | 20 Apr → | ||
| 4–13 | -0.04 | 15% | 12 Apr → | ||
| 13–7 | -0.01 | 23% | 12 Apr → | ||
| 13–11 | -0.04 | 16% | 12 Apr → | ||
| 6–13 | -0.02 | 29% | 3 Apr → | ||
| 6–13 | -0.01 | 22% | 3 Apr → | ||
| 13–7 | 0.05 | 22% | 3 Apr → | ||
| 13–9 | 0.15 | 22% | 3 Apr → | ||
| 10–13 | 0.08 | 16% | 3 Apr → | ||
| 13–8 | -0.05 | 17% | 29 Mar → | ||
| 13–11 | 0.10 | 22% | 29 Mar → | ||
| 13–10 | 0.01 | 13% | 29 Mar → | ||
| 13–4 | -0.04 | 9% | 28 Mar → | ||
| 10–13 | 0.05 | 31% | 28 Mar → | ||
| 6–13 | -0.03 | 14% | 26 Mar → | ||
| 13–4 | -0.00 | 19% | 21 Mar → | ||
| office | 13–9 | -0.01 | 15% | 20 Mar → | |
| office | 12–12 | 0.00 | 11% | 20 Mar → |
Match data via Leetify.