Avtomat Kalashnikov 47 — CS2 Stats
RU76561198250627482[U:1:290361754]Steam profile ↗✓ No bans
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingStrong CT-side openerEffective flashesHigh utility contribution
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 85% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: higher utility contribution; 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
Utility. Utility score of 81 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 53% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 630ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | 0.01 | |
| B | 17 | 9–8 | 53% | -0.01 | |
| B | 15 | 7–8 | 47% | -0.03 | |
| B | 13 | 7–6 | 54% | 0.02 | |
| S | 13 | 9–4 | 69% | -0.00 | |
| C | 12 | 5–7 | 42% | 0.00 | |
| — | 2 | 0–2 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 92 | 60% | 0.97 | 14.4 |
| Dust2 | 69 | 49% | 1.13 | 16.2 |
| Inferno | 54 | 44% | 1.09 | 17.6 |
| Anubis | 44 | 43% | 1.06 | 16.3 |
| Ancient | 30 | 57% | 1.02 | 16.8 |
| Nuke | 17 | 29% | 0.85 | 12.8 |
| Train | 17 | 35% | 0.93 | 13.6 |
| Cache | 6 | 67% | 0.98 | 17.5 |
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.
- 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 9.6658% — below the 15% 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 37.4709% — 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.
42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.09 | 10% | 28 Aug → | ||
| 13–9 | -0.03 | 10% | 28 Aug → | ||
| 3–13 | -0.04 | 14% | 28 Aug → | ||
| 9–13 | -0.03 | 4% | 28 Aug → | ||
| 13–10 | -0.02 | 10% | 28 Aug → | ||
| 13–5 | -0.02 | 14% | 28 Aug → | ||
| 13–9 | 0.07 | 10% | 27 Aug → | ||
| 13–2 | 0.19 | 14% | 27 Aug → | ||
| 3–13 | -0.03 | 5% | 27 Aug → | ||
| 13–10 | 0.03 | 14% | 27 Aug → | ||
| 10–13 | -0.01 | 2% | 24 Aug → | ||
| 12–16 | -0.03 | 12% | 24 Aug → | ||
| 15–15 | -0.00 | 13% | 24 Aug → | ||
| 6–13 | -0.08 | 16% | 24 Aug → | ||
| 13–7 | 0.07 | 14% | 24 Aug → | ||
| 13–11 | 0.07 | 12% | 24 Aug → | ||
| 13–10 | 0.02 | 7% | 24 Aug → | ||
| 13–5 | 0.04 | 7% | 24 Aug → | ||
| 5–13 | -0.02 | 11% | 24 Aug → | ||
| 13–10 | 0.07 | 8% | 24 Aug → | ||
| 11–13 | -0.03 | 9% | 23 Aug → | ||
| 13–6 | -0.02 | 2% | 23 Aug → | ||
| 13–11 | 0.04 | 10% | 23 Aug → | ||
| 13–7 | -0.01 | 13% | 23 Aug → | ||
| 8–13 | 0.06 | 7% | 22 Aug → | ||
| 13–7 | -0.01 | 7% | 22 Aug → | ||
| 13–10 | -0.02 | 5% | 22 Aug → | ||
| 5–13 | -0.07 | 14% | 22 Aug → | ||
| 6–13 | 0.01 | 13% | 20 Aug → | ||
| 13–11 | 0.01 | 8% | 20 Aug → | ||
| 13–10 | 0.00 | 12% | 20 Aug → | ||
| 13–11 | 0.03 | 13% | 16 Aug → | ||
| 14–16 | 0.01 | 7% | 16 Aug → | ||
| 13–11 | -0.03 | 11% | 16 Aug → | ||
| 4–13 | -0.04 | 8% | 16 Aug → | ||
| 16–13 | 0.08 | 11% | 14 Aug → | ||
| 13–6 | 0.02 | 10% | 14 Aug → | ||
| 7–13 | 0.01 | 5% | 9 Aug → | ||
| 9–13 | -0.00 | 15% | 9 Aug → | ||
| 13–10 | -0.07 | 10% | 9 Aug → | ||
| 11–13 | 0.01 | 8% | 9 Aug → | ||
| 9–13 | 0.05 | 7% | 8 Aug → | ||
| 9–13 | -0.04 | 7% | 8 Aug → | ||
| 13–10 | 0.05 | 8% | 8 Aug → | ||
| 13–9 | 0.07 | 8% | 7 Aug → | ||
| 4–13 | -0.04 | 8% | 7 Aug → | ||
| 8–13 | 0.00 | 12% | 6 Aug → | ||
| 13–9 | -0.02 | 9% | 6 Aug → | ||
| 1–13 | -0.07 | 12% | 5 Aug → | ||
| 13–6 | -0.07 | 6% | 5 Aug → | ||
| 13–11 | -0.04 | 11% | 4 Aug → | ||
| 13–4 | 0.08 | 17% | 4 Aug → | ||
| 13–11 | 0.00 | 10% | 4 Aug → | ||
| 13–10 | 0.05 | 13% | 3 Aug → | ||
| 10–13 | 0.04 | 11% | 3 Aug → | ||
| 13–4 | 0.04 | 22% | 3 Aug → | ||
| 7–13 | -0.02 | 12% | 2 Aug → | ||
| 13–11 | -0.04 | 9% | 2 Aug → | ||
| 13–5 | -0.09 | 7% | 2 Aug → | ||
| 5–13 | -0.06 | 8% | 1 Aug → | ||
| 13–10 | 0.02 | 8% | 1 Aug → | ||
| 6–13 | -0.06 | 7% | 1 Aug → | ||
| 15–15 | -0.02 | 9% | 1 Aug → | ||
| 13–8 | -0.04 | 15% | 1 Aug → | ||
| 15–15 | -0.07 | 10% | 31 Jul → | ||
| 13–8 | 0.04 | 8% | 31 Jul → | ||
| 5–13 | -0.01 | 16% | 30 Jul → | ||
| 10–13 | -0.00 | 12% | 30 Jul → | ||
| 13–16 | -0.04 | 12% | 29 Jul → | ||
| 13–9 | -0.02 | 26% | 29 Jul → | ||
| 13–6 | 0.05 | 20% | 29 Jul → | ||
| 3–13 | -0.04 | 16% | 29 Jul → | ||
| 1–13 | -0.00 | 11% | 28 Jul → | ||
| 13–4 | 0.10 | 18% | 28 Jul → | ||
| 13–3 | 0.09 | 23% | 27 Jul → | ||
| 5–13 | -0.04 | 10% | 27 Jul → | ||
| 6–13 | -0.06 | 13% | 27 Jul → | ||
| 13–11 | 0.00 | 18% | 27 Jul → | ||
| 9–13 | -0.04 | 8% | 27 Jul → | ||
| 13–11 | -0.01 | 16% | 27 Jul → | ||
| 5–13 | 0.01 | 9% | 26 Jul → | ||
| 11–13 | 0.04 | 13% | 26 Jul → | ||
| 5–13 | -0.02 | 12% | 26 Jul → | ||
| 13–11 | 0.02 | 13% | 26 Jul → | ||
| 13–11 | 0.01 | 7% | 25 Jul → | ||
| 15–15 | -0.02 | 7% | 25 Jul → | ||
| 13–4 | 0.02 | 9% | 25 Jul → | ||
| 13–16 | 0.05 | 18% | 25 Jul → | ||
| 8–13 | -0.03 | 23% | 24 Jul → | ||
| 5–11 | -0.07 | 21% | 24 Jul → | ||
| 13–6 | -0.00 | 9% | 24 Jul → | ||
| 13–3 | 0.03 | 13% | 24 Jul → | ||
| 9–13 | 0.04 | 10% | 23 Jul → | ||
| 5–13 | -0.02 | 11% | 23 Jul → | ||
| 8–13 | -0.10 | 18% | 23 Jul → | ||
| 5–13 | -0.07 | 13% | 23 Jul → | ||
| 13–11 | -0.05 | 18% | 23 Jul → | ||
| 13–10 | -0.00 | 17% | 22 Jul → | ||
| 13–4 | 0.01 | 5% | 22 Jul → | ||
| 13–5 | 0.02 | 14% | 21 Jul → |
Match data via Leetify.