MUSTAFA | ζ͜͡ ✯ — CS2 Stats
HU76561198256920908[U:1:296655180]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 34.2% | 42.1% | 42.5% | 8.3% short |
| Shot accuracy | 13.2% | 12.1% | 10.9% | above |
| Kill/death ratio | 0.79 | 0.99 | 0.99 | 0.20 short |
| Match win rate | 40.9% | 43.9% | 44.2% | 3.3% short |
This profile matches the typical Level 4 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 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: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
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 73% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower opening-fight frequency; 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. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.2/10 (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 | 28 | 13–15 | 46% | -0.02 | |
| A | 28 | 18–10 | 64% | -0.01 | |
| office | S | 12 | 8–4 | 67% | 0.03 |
| B | 10 | 5–5 | 50% | -0.01 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| D | 7 | 1–6 | 14% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (14% over 7). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 9 | 44% | 0.85 | 13.7 |
| Anubis | 8 | 38% | 0.59 | 9.1 |
| Ancient | 7 | 57% | 0.80 | 12.4 |
| Mirage | 6 | 33% | 1.07 | 14.3 |
| Nuke | 4 | 75% | 1.19 | 13.0 |
| Inferno | 1 | 100% | 1.20 | 12.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8655 — below the 4 mark we flag
- 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 24.7057% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.10 | 17% | 14 Aug → | ||
| 13–8 | -0.00 | 17% | 14 Aug → | ||
| office | 13–7 | 0.13 | 22% | 4 Aug → | |
| 13–10 | 0.00 | 12% | 28 Jul → | ||
| 6–13 | -0.04 | 17% | 28 Jul → | ||
| 1–13 | -0.04 | 38% | 28 Jul → | ||
| 8–13 | -0.10 | 11% | 28 Jul → | ||
| office | 10–13 | -0.05 | 21% | 27 Jul → | |
| 13–7 | -0.04 | 50% | 27 Jul → | ||
| 13–10 | -0.03 | 16% | 16 Jul → | ||
| 10–4 | -0.05 | 17% | 14 Jul → | ||
| 13–4 | 0.01 | 13% | 14 Jul → | ||
| 13–8 | 0.00 | 0% | 13 Jul → | ||
| 13–10 | -0.02 | 21% | 13 Jul → | ||
| 10–13 | -0.03 | 24% | 12 Jul → | ||
| office | 13–8 | 0.03 | 18% | 7 Jul → | |
| office | 13–9 | 0.07 | 28% | 4 Jul → | |
| office | 3–13 | -0.01 | 17% | 4 Jul → | |
| 6–13 | -0.01 | 15% | 1 Jul → | ||
| 7–13 | -0.05 | 24% | 1 Jul → | ||
| 6–9 | 0.11 | 7% | 12 Jun → | ||
| 8–8 | -0.13 | 25% | 12 Jun → | ||
| 16–12 | -0.01 | 21% | 16 May → | ||
| 13–6 | 0.04 | 11% | 15 May → | ||
| 13–4 | 0.06 | 32% | 15 May → | ||
| 9–13 | -0.03 | 14% | 3 May → | ||
| 13–11 | -0.01 | 20% | 23 Apr → | ||
| 14–16 | -0.01 | 19% | 22 Apr → | ||
| 13–10 | 0.01 | 18% | 21 Apr → | ||
| 13–7 | -0.02 | 14% | 16 Apr → | ||
| 13–9 | -0.02 | 18% | 9 Apr → | ||
| 5–13 | -0.08 | 23% | 8 Apr → | ||
| 9–13 | 0.09 | 18% | 8 Apr → | ||
| 4–13 | -0.02 | 13% | 3 Apr → | ||
| office | 13–10 | -0.03 | 19% | 3 Apr → | |
| 2–13 | -0.03 | 10% | 2 Apr → | ||
| 5–13 | -0.03 | 8% | 2 Apr → | ||
| 8–13 | 0.03 | 13% | 2 Apr → | ||
| 9–13 | -0.02 | 22% | 1 Apr → | ||
| 10–13 | 0.03 | 13% | 30 Mar → | ||
| 8–13 | -0.02 | 12% | 21 Mar → | ||
| 10–13 | -0.05 | 10% | 20 Mar → | ||
| 2–13 | -0.11 | 18% | 20 Mar → | ||
| 13–3 | -0.01 | 19% | 14 Mar → | ||
| 13–0 | -0.01 | 10% | 14 Mar → | ||
| 13–11 | -0.01 | 24% | 13 Mar → | ||
| 16–12 | 0.00 | 12% | 11 Mar → | ||
| 2–13 | 0.05 | 26% | 11 Mar → | ||
| 6–13 | 0.01 | 17% | 11 Mar → | ||
| 16–13 | -0.01 | 28% | 9 Mar → | ||
| 7–13 | -0.04 | 23% | 8 Mar → | ||
| 11–13 | -0.02 | 19% | 7 Mar → | ||
| 11–13 | 0.01 | 10% | 5 Mar → | ||
| 13–0 | 0.07 | 27% | 25 Feb → | ||
| 13–2 | -0.05 | 19% | 20 Feb → | ||
| 13–11 | 0.05 | 13% | 18 Feb → | ||
| 15–15 | 0.01 | 10% | 15 Feb → | ||
| 13–4 | 0.06 | 7% | 14 Feb → | ||
| 13–11 | -0.01 | 15% | 13 Feb → | ||
| 4–13 | -0.14 | 11% | 11 Feb → | ||
| 11–13 | 0.02 | 22% | 11 Feb → | ||
| 13–11 | -0.00 | 19% | 11 Feb → | ||
| 13–8 | -0.04 | 26% | 10 Feb → | ||
| 5–13 | -0.09 | 7% | 10 Feb → | ||
| 13–3 | -0.01 | 9% | 8 Feb → | ||
| 11–13 | -0.01 | 19% | 5 Feb → | ||
| 16–14 | 0.04 | 16% | 5 Feb → | ||
| 13–9 | 0.01 | 15% | 5 Feb → | ||
| 16–13 | 0.07 | 20% | 3 Feb → | ||
| 13–11 | 0.03 | 19% | 3 Feb → | ||
| 13–11 | -0.09 | 11% | 3 Feb → | ||
| 9–13 | -0.05 | 8% | 1 Feb → | ||
| office | 10–13 | -0.06 | 15% | 31 Jan → | |
| office | 2–13 | -0.01 | 11% | 31 Jan → | |
| 13–4 | 0.09 | 5% | 31 Jan → | ||
| 4–13 | -0.06 | 10% | 29 Jan → | ||
| 3–9 | -0.11 | 12% | 28 Jan → | ||
| 13–16 | 0.02 | 15% | 27 Jan → | ||
| 13–7 | 0.06 | 22% | 27 Jan → | ||
| 2–9 | -0.22 | 22% | 27 Jan → | ||
| 13–7 | -0.02 | 13% | 25 Jan → | ||
| 11–13 | -0.07 | 15% | 25 Jan → | ||
| 9–13 | -0.03 | 9% | 25 Jan → | ||
| 7–13 | -0.07 | 7% | 25 Jan → | ||
| 8–13 | -0.07 | 17% | 24 Jan → | ||
| 9–13 | -0.01 | 13% | 24 Jan → | ||
| office | 13–11 | 0.08 | 13% | 22 Jan → | |
| office | 13–11 | -0.02 | 10% | 21 Jan → | |
| office | 13–5 | 0.19 | 22% | 21 Jan → | |
| 4–9 | -0.08 | 29% | 21 Jan → | ||
| 9–7 | 0.10 | 25% | 20 Jan → | ||
| 9–4 | 0.06 | 6% | 20 Jan → | ||
| 13–6 | 0.05 | 18% | 19 Jan → | ||
| office | 13–10 | 0.06 | 15% | 14 Jan → | |
| 9–6 | 0.08 | 11% | 14 Jan → | ||
| 9–1 | 0.22 | 22% | 13 Jan → | ||
| 13–10 | 0.02 | 11% | 12 Jan → | ||
| 10–13 | -0.04 | 13% | 7 Jan → | ||
| 16–12 | -0.05 | 16% | 7 Jan → | ||
| 13–4 | 0.02 | 15% | 6 Jan → |
Match data via Leetify.