Avtomat Kalashnikova — CS2 Stats
76561198171093681[U:1:210827953]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.05 avg rating
Player DNA
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 iM 91% playstyle similarity
Most alike: positioning profile, opening-fight frequency.
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
Areas to improve
Reaction time. 566ms 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 5.3/10 (Developing), 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 |
|---|---|---|---|---|---|
| office | B | 36 | 18–18 | 50% | 0.04 |
 inferno | D | 16 | 5–11 | 31% | 0.00 |
 cache | B | 15 | 8–7 | 53% | 0.03 |
 nuke | A | 12 | 7–5 | 58% | 0.01 |
 mirage | D | 8 | 1–7 | 13% | 0.01 |
 ancient | — | 3 | 1–2 | 33% | 0.03 |
 dust2 | — | 3 | 2–1 | 67% | -0.00 |
 train | — | 2 | 1–1 | 50% | 0.01 |
 anubis | — | 2 | 0–2 | 0% | 0.01 |
| italy | — | 1 | 0–1 | 0% | -0.03 |
 vertigo | — | 1 | 0–1 | 0% | 0.04 |
 overpass | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 3 | 67% | 0.85 | 15.7 |
| Nuke | 2 | 100% | 1.42 | 17.0 |
| Ancient | 2 | 50% | 2.34 | 13.5 |
| Dust2 | 1 | 100% | 1.20 | 18.0 |
| Anubis | 1 | 0% | 1.07 | 16.0 |
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.
- 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 12.2195% — 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 38.4386% — 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.
13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–9 | -0.01 | 9% | 20 Aug → | |
| office | 13–3 | 0.00 | 10% | 20 Aug → | |
| office | 13–10 | 0.02 | 18% | 19 Aug → | |
| inferno | 8–13 | -0.05 | 10% | 19 Aug → | |
| nuke | 13–5 | -0.01 | 8% | 19 Aug → | |
| office | 10–13 | 0.05 | 9% | 19 Aug → | |
| inferno | 3–13 | -0.11 | 8% | 3 Aug → | |
| office | 11–13 | 0.05 | 21% | 3 Aug → | |
| cache | 13–7 | -0.02 | 7% | 31 Jul → | |
| office | 13–8 | -0.01 | 15% | 31 Jul → | |
| inferno | 13–11 | 0.01 | 8% | 29 Jul → | |
| cache | 5–13 | 0.06 | 17% | 28 Jul → | |
| inferno | 8–13 | -0.02 | 10% | 25 Jul → | |
| office | 8–13 | 0.11 | 10% | 19 Jul → | |
| office | 10–13 | 0.07 | 9% | 17 Jul → | |
| mirage | 12–12 | 0.02 | 13% | 17 Jul → | |
| nuke | 12–12 | 0.00 | 12% | 15 Jul → | |
| cache | 13–7 | 0.01 | 20% | 15 Jul → | |
| inferno | 1–13 | -0.01 | 17% | 4 Jul → | |
| cache | 13–5 | 0.12 | 16% | 4 Jul → | |
| mirage | 10–13 | 0.03 | 4% | 4 Jul → | |
| ancient | 12–12 | -0.03 | 12% | 4 Jul → | |
| office | 5–13 | -0.03 | 13% | 30 Jun → | |
| mirage | 4–13 | -0.06 | 10% | 29 Jun → | |
| nuke | 13–9 | -0.05 | 9% | 22 Jun → | |
| office | 10–13 | -0.04 | 12% | 22 Jun → | |
| office | 13–8 | -0.02 | 19% | 16 Jun → | |
| inferno | 7–13 | -0.00 | 12% | 7 Jun → | |
| cache | 12–12 | 0.01 | 15% | 7 Jun → | |
| cache | 13–1 | 0.01 | 12% | 6 Jun → | |
| office | 13–2 | 0.08 | 17% | 6 Jun → | |
| office | 7–13 | -0.00 | 7% | 2 Jun → | |
| office | 13–5 | 0.09 | 7% | 2 Jun → | |
| office | 13–4 | -0.03 | 16% | 31 May → | |
| office | 13–9 | -0.03 | 13% | 31 May → | |
| office | 13–8 | 0.04 | 11% | 25 May → | |
| cache | 6–13 | 0.05 | 14% | 25 May → | |
| office | 13–7 | 0.13 | 9% | 25 May → | |
| cache | 6–13 | 0.02 | 30% | 18 May → | |
| office | 10–13 | -0.01 | 22% | 18 May → | |
| office | 12–12 | 0.11 | 19% | 4 May → | |
| cache | 12–12 | 0.07 | 11% | 4 May → | |
| inferno | 6–13 | 0.01 | 14% | 4 May → | |
| cache | 13–9 | 0.04 | 21% | 4 May → | |
| cache | 4–13 | -0.07 | 14% | 3 May → | |
| cache | 13–4 | 0.10 | 20% | 3 May → | |
| cache | 13–7 | -0.02 | 4% | 2 May → | |
| cache | 4–13 | -0.04 | 16% | 29 Apr → | |
| cache | 13–4 | 0.07 | 17% | 29 Apr → | |
| italy | 10–13 | -0.03 | 7% | 27 Apr → | |
| office | 3–2 | 0.00 | 25% | 27 Apr → | |
| office | 13–3 | 0.02 | 14% | 27 Apr → | |
| ancient | 6–1 | 0.09 | 25% | 26 Apr → | |
| office | 12–12 | 0.04 | 12% | 26 Apr → | |
| nuke | 13–5 | 0.20 | 16% | 26 Apr → | |
| office | 10–13 | 0.02 | 13% | 22 Apr → | |
| mirage | 12–12 | 0.09 | 15% | 20 Apr → | |
| dust2 | 12–12 | -0.03 | 12% | 16 Apr → | |
| inferno | 8–13 | -0.00 | 11% | 16 Apr → | |
| office | 6–13 | -0.02 | 3% | 16 Apr → | |
| nuke | 4–13 | -0.04 | 9% | 13 Apr → | |
| office | 9–13 | 0.08 | 9% | 13 Apr → | |
| office | 10–13 | 0.06 | 7% | 13 Apr → | |
| inferno | 5–13 | -0.01 | 6% | 12 Apr → | |
| office | 13–8 | -0.01 | 9% | 12 Apr → | |
| office | 12–12 | 0.14 | 7% | 12 Apr → | |
| nuke | 4–13 | -0.00 | 11% | 11 Apr → | |
| train | 5–13 | -0.04 | 14% | 11 Apr → | |
| inferno | 13–9 | -0.02 | 6% | 10 Apr → | |
| nuke | 13–11 | 0.00 | 14% | 10 Apr → | |
| mirage | 11–13 | -0.00 | 10% | 10 Apr → | |
| ancient | 12–12 | 0.02 | 9% | 9 Apr → | |
| inferno | 3–13 | 0.10 | 12% | 9 Apr → | |
| mirage | 13–7 | 0.11 | 13% | 9 Apr → | |
| nuke | 13–6 | 0.04 | 14% | 9 Apr → | |
| dust2 | 13–10 | 0.05 | 12% | 8 Apr → | |
| office | 12–12 | 0.09 | 12% | 8 Apr → | |
| nuke | 8–13 | 0.02 | 13% | 8 Apr → | |
| office | 5–13 | 0.01 | 10% | 7 Apr → | |
| anubis | 10–13 | -0.00 | 18% | 7 Apr → | |
| inferno | 13–7 | 0.06 | 14% | 7 Apr → | |
| mirage | 0–13 | -0.02 | 9% | 7 Apr → | |
| office | 13–11 | 0.04 | 9% | 7 Apr → | |
| nuke | 13–9 | -0.06 | 15% | 7 Apr → | |
| inferno | 9–13 | 0.04 | 21% | 7 Apr → | |
| office | 13–8 | 0.06 | 15% | 6 Apr → | |
| inferno | 11–13 | -0.01 | 10% | 6 Apr → | |
| mirage | 3–13 | -0.07 | 6% | 6 Apr → | |
| train | 13–3 | 0.06 | 10% | 6 Apr → | |
| office | 5–13 | -0.03 | 7% | 6 Apr → | |
| nuke | 6–13 | 0.01 | 8% | 6 Apr → | |
| office | 13–6 | -0.04 | 4% | 5 Apr → | |
| vertigo | 12–12 | 0.04 | 11% | 5 Apr → | |
| inferno | 13–9 | 0.07 | 13% | 5 Apr → | |
| nuke | 13–10 | 0.08 | 17% | 5 Apr → | |
| office | 13–11 | 0.13 | 11% | 3 Apr → | |
| overpass | 4–13 | -0.07 | 17% | 3 Apr → | |
| office | 13–6 | 0.11 | 5% | 3 Apr → | |
| dust2 | 13–10 | -0.04 | 16% | 3 Apr → | |
| anubis | 11–13 | 0.03 | 12% | 2 Apr → |
Match data via Leetify.
