Azamat_ — CS2 Stats
AZ76561198981944681[U:1:1021678953]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 | 38.6% | 52.8% |
| Shot accuracy | 12.5% | 13.7% |
| Kill/death ratio | 0.98 | 1.08 |
| Match win rate | 42.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +60pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 b1t 90% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Strengths
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 584ms 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 5.4/10 (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 | 29 | 15–14 | 52% | -0.01 | |
| S | 18 | 13–5 | 72% | -0.01 | |
| A | 16 | 9–7 | 56% | -0.00 | |
| A | 14 | 8–6 | 57% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.02 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 250 | 53% | 1.13 | 15.8 |
| Anubis | 236 | 50% | 1.16 | 16.4 |
| Ancient | 216 | 50% | 1.11 | 16.4 |
| Inferno | 173 | 50% | 1.13 | 16.6 |
| Dust2 | 123 | 44% | 0.98 | 14.5 |
| Vertigo | 111 | 52% | 1.12 | 15.8 |
| Nuke | 77 | 56% | 1.19 | 16.6 |
| Overpass | 31 | 55% | 1.14 | 17.3 |
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 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 38.1676% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.02 | 8% | 28 Aug → | ||
| 13–8 | 0.04 | 11% | 28 Aug → | ||
| 13–4 | 0.03 | 24% | 28 Aug → | ||
| 13–7 | 0.02 | 17% | 28 Aug → | ||
| 13–4 | 0.02 | 50% | 28 Aug → | ||
| 13–7 | 0.04 | 15% | 27 Aug → | ||
| 16–12 | 0.04 | 21% | 27 Aug → | ||
| 11–13 | -0.06 | 18% | 21 Aug → | ||
| 12–16 | -0.04 | 26% | 19 Aug → | ||
| 13–3 | 0.06 | 19% | 19 Aug → | ||
| 8–13 | -0.05 | 17% | 19 Aug → | ||
| 14–16 | -0.04 | 21% | 18 Aug → | ||
| 13–11 | -0.01 | 10% | 18 Aug → | ||
| 14–16 | 0.01 | 21% | 18 Aug → | ||
| 8–13 | -0.02 | 32% | 30 Jul → | ||
| 5–13 | -0.08 | 10% | 30 Jul → | ||
| 13–6 | 0.06 | 20% | 30 Jul → | ||
| 10–13 | -0.02 | 15% | 29 Jul → | ||
| 6–13 | -0.09 | 12% | 29 Jul → | ||
| 5–13 | -0.01 | 18% | 29 Jul → | ||
| 9–13 | -0.04 | 12% | 29 Jul → | ||
| 11–13 | -0.01 | 22% | 29 Jul → | ||
| 8–13 | -0.07 | 15% | 28 Jul → | ||
| 11–13 | 0.06 | 30% | 28 Jul → | ||
| 8–13 | -0.10 | 15% | 28 Jul → | ||
| 8–13 | -0.02 | 6% | 28 Jul → | ||
| 9–13 | -0.04 | 11% | 27 Jul → | ||
| 9–13 | -0.02 | 10% | 27 Jul → | ||
| 2–7 | 0.04 | 14% | 27 Jul → | ||
| 13–10 | -0.04 | 19% | 27 Jul → | ||
| 4–13 | 0.09 | 36% | 27 Jul → | ||
| 10–13 | 0.01 | 18% | 27 Jul → | ||
| 13–2 | 0.03 | 17% | 27 Jul → | ||
| 13–0 | -0.01 | 16% | 26 Jul → | ||
| 13–1 | -0.02 | 0% | 26 Jul → | ||
| 3–0 | 0.06 | 100% | 26 Jul → | ||
| 13–1 | 0.01 | 20% | 26 Jul → | ||
| 10–13 | -0.05 | 16% | 26 Jul → | ||
| 2–13 | -0.06 | 0% | 25 Jul → | ||
| 13–9 | 0.03 | 13% | 25 Jul → | ||
| 16–14 | 0.01 | 15% | 24 Jul → | ||
| 13–10 | 0.04 | 27% | 24 Jul → | ||
| 11–13 | 0.00 | 16% | 24 Jul → | ||
| 13–11 | -0.01 | 20% | 24 Jul → | ||
| 13–11 | -0.02 | 17% | 24 Jul → | ||
| 13–11 | 0.06 | 22% | 21 Jul → | ||
| 13–7 | -0.10 | 18% | 21 Jul → | ||
| 13–6 | -0.04 | 8% | 21 Jul → | ||
| 13–4 | -0.02 | 11% | 21 Jul → | ||
| 13–6 | -0.02 | 14% | 21 Jul → | ||
| 5–13 | -0.08 | 30% | 21 Jul → | ||
| 6–13 | -0.02 | 7% | 21 Jul → | ||
| 13–6 | 0.04 | 14% | 20 Jul → | ||
| 13–10 | -0.03 | 12% | 20 Jul → | ||
| 13–10 | 0.03 | 25% | 20 Jul → | ||
| 13–5 | -0.04 | 17% | 19 Jul → | ||
| 4–13 | -0.08 | 29% | 19 Jul → | ||
| 13–7 | 0.04 | 15% | 19 Jul → | ||
| 13–9 | -0.00 | 19% | 19 Jul → | ||
| 7–13 | -0.01 | 7% | 19 Jul → | ||
| 13–6 | -0.03 | 30% | 18 Jul → | ||
| 13–4 | 0.13 | 29% | 18 Jul → | ||
| 15–15 | 0.04 | 17% | 18 Jul → | ||
| 8–13 | -0.05 | 14% | 17 Jul → | ||
| 13–2 | -0.01 | 15% | 17 Jul → | ||
| 15–15 | 0.06 | 16% | 17 Jul → | ||
| 6–13 | -0.02 | 12% | 17 Jul → | ||
| 13–3 | -0.00 | 10% | 17 Jul → | ||
| 13–6 | -0.00 | 19% | 17 Jul → | ||
| 13–5 | 0.21 | 13% | 16 Jul → | ||
| 16–14 | 0.04 | 15% | 16 Jul → | ||
| 13–3 | 0.06 | 26% | 15 Jul → | ||
| 13–9 | 0.05 | 16% | 15 Jul → | ||
| 13–4 | 0.05 | 9% | 15 Jul → | ||
| 5–13 | -0.06 | 14% | 14 Jul → | ||
| 13–11 | 0.04 | 18% | 14 Jul → | ||
| 5–13 | -0.05 | 17% | 14 Jul → | ||
| 13–6 | 0.01 | 13% | 14 Jul → | ||
| 13–6 | 0.01 | 22% | 14 Jul → | ||
| 13–7 | 0.13 | 6% | 13 Jul → | ||
| 8–13 | -0.07 | 5% | 13 Jul → | ||
| 13–4 | -0.01 | 14% | 13 Jul → | ||
| 13–6 | 0.01 | 9% | 13 Jul → | ||
| 13–1 | -0.03 | 33% | 13 Jul → | ||
| 0–13 | -0.06 | 33% | 13 Jul → | ||
| 13–6 | 0.07 | 30% | 13 Jul → | ||
| 7–13 | 0.00 | 19% | 12 Jul → | ||
| 11–13 | -0.02 | 19% | 12 Jul → | ||
| 13–4 | 0.01 | 59% | 12 Jul → | ||
| 4–13 | -0.00 | 24% | 12 Jul → | ||
| 13–11 | 0.13 | 21% | 12 Jul → | ||
| 13–3 | 0.06 | 16% | 11 Jul → | ||
| 5–13 | 0.00 | 14% | 11 Jul → | ||
| 13–3 | 0.09 | 11% | 11 Jul → | ||
| 8–13 | -0.00 | 6% | 11 Jul → | ||
| 5–13 | -0.01 | 35% | 11 Jul → | ||
| 13–3 | 0.02 | 12% | 11 Jul → | ||
| 13–7 | 0.03 | 26% | 10 Jul → | ||
| 1–3 | -0.15 | 0% | 10 Jul → | ||
| 6–13 | -0.04 | 16% | 10 Jul → |
Match data via Leetify.