Жмакс — CS2 Stats
RU76561198332117041[U:1:371851313]Steam profile ↗
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 49.1% | 52.8% | 3.6% short |
| Shot accuracy | 14.2% | 13.7% | above |
| Kill/death ratio | 0.88 | 1.08 | 0.20 short |
| Match win rate | 45.7% | 49.2% | 3.5% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 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: -20pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingEffective 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 Twistzz 97% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.
Reaction time. 569ms 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 6.5/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 93 | 42–51 | 45% | 0.00 |
 cache | — | 3 | 2–1 | 67% | 0.00 |
 ancient | — | 2 | 1–1 | 50% | 0.03 |
 anubis | — | 1 | 1–0 | 100% | -0.01 |
 mirage | — | 1 | 0–1 | 0% | 0.01 |
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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 165 | 61% | 1.15 | 16.7 |
| Anubis | 85 | 46% | 1.09 | 14.0 |
| Mirage | 78 | 42% | 1.07 | 14.5 |
| Ancient | 74 | 43% | 1.09 | 15.9 |
| Nuke | 20 | 35% | 0.96 | 15.7 |
| Inferno | 15 | 33% | 1.00 | 13.7 |
| Vertigo | 12 | 42% | 0.91 | 14.3 |
| Train | 4 | 50% | 1.12 | 21.3 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–8 | 0.03 | 32% | 28 Aug → | |
| dust2 | 1–13 | -0.04 | 9% | 27 Aug → | |
| dust2 | 7–13 | 0.01 | 16% | 27 Aug → | |
| dust2 | 8–13 | 0.01 | 15% | 26 Aug → | |
| dust2 | 3–13 | -0.12 | 25% | 26 Aug → | |
| dust2 | 13–10 | 0.05 | 23% | 25 Aug → | |
| dust2 | 12–12 | 0.00 | 39% | 24 Aug → | |
| dust2 | 13–9 | 0.01 | 16% | 24 Aug → | |
| dust2 | 7–13 | -0.05 | 31% | 21 Aug → | |
| dust2 | 10–13 | 0.02 | 9% | 21 Aug → | |
| dust2 | 8–13 | -0.03 | 24% | 21 Aug → | |
| dust2 | 13–10 | 0.04 | 20% | 20 Aug → | |
| dust2 | 12–12 | 0.03 | 17% | 20 Aug → | |
| dust2 | 13–11 | 0.04 | 28% | 19 Aug → | |
| dust2 | 13–3 | -0.00 | 23% | 18 Aug → | |
| dust2 | 13–10 | -0.05 | 27% | 18 Aug → | |
| dust2 | 8–13 | -0.10 | 26% | 17 Aug → | |
| dust2 | 11–13 | 0.02 | 11% | 16 Aug → | |
| dust2 | 1–9 | -0.08 | 13% | 16 Aug → | |
| dust2 | 13–7 | 0.02 | 21% | 15 Aug → | |
| dust2 | 5–13 | -0.01 | 13% | 14 Aug → | |
| dust2 | 8–13 | 0.05 | 27% | 13 Aug → | |
| dust2 | 12–12 | 0.05 | 21% | 12 Aug → | |
| dust2 | 7–13 | 0.02 | 19% | 12 Aug → | |
| dust2 | 13–6 | -0.02 | 28% | 12 Aug → | |
| dust2 | 1–5 | 0.02 | 67% | 12 Aug → | |
| dust2 | 9–13 | -0.04 | 22% | 9 Aug → | |
| dust2 | 7–13 | -0.02 | 26% | 7 Aug → | |
| dust2 | 12–12 | -0.01 | 27% | 7 Aug → | |
| dust2 | 11–13 | -0.10 | 23% | 4 Aug → | |
| dust2 | 13–9 | 0.05 | 17% | 4 Aug → | |
| dust2 | 8–0 | 0.09 | 36% | 3 Aug → | |
| dust2 | 13–6 | -0.00 | 20% | 3 Aug → | |
| dust2 | 2–13 | -0.05 | 22% | 3 Aug → | |
| dust2 | 13–5 | 0.05 | 16% | 3 Aug → | |
| dust2 | 11–13 | -0.08 | 17% | 2 Aug → | |
| dust2 | 8–13 | -0.04 | 27% | 31 Jul → | |
| dust2 | 13–8 | -0.08 | 15% | 28 Jul → | |
| dust2 | 13–10 | 0.02 | 26% | 28 Jul → | |
| dust2 | 13–8 | -0.01 | 22% | 28 Jul → | |
| dust2 | 13–8 | 0.04 | 25% | 26 Jul → | |
| dust2 | 4–13 | 0.02 | 29% | 20 Jul → | |
| dust2 | 12–12 | 0.00 | 28% | 16 Jul → | |
| dust2 | 13–4 | 0.01 | 22% | 13 Jul → | |
| dust2 | 7–13 | 0.03 | 25% | 13 Jul → | |
| anubis | 13–9 | -0.01 | 21% | 9 Jul → | |
| dust2 | 12–12 | 0.02 | 23% | 7 Jul → | |
| dust2 | 13–4 | 0.10 | 13% | 6 Jul → | |
| ancient | 16–14 | 0.03 | 15% | 6 Jul → | |
| mirage | 2–13 | 0.01 | 28% | 5 Jul → | |
| dust2 | 10–13 | -0.01 | 33% | 3 Jul → | |
| dust2 | 5–13 | -0.04 | 25% | 3 Jul → | |
| dust2 | 9–1 | 0.03 | 18% | 29 Jun → | |
| dust2 | 12–12 | 0.07 | 23% | 26 Jun → | |
| dust2 | 6–13 | 0.04 | 25% | 25 Jun → | |
| dust2 | 13–6 | 0.02 | 20% | 24 Jun → | |
| dust2 | 16–14 | -0.02 | 25% | 24 Jun → | |
| dust2 | 8–13 | 0.02 | 27% | 22 Jun → | |
| dust2 | 10–13 | -0.02 | 24% | 22 Jun → | |
| dust2 | 13–2 | 0.11 | 25% | 21 Jun → | |
| dust2 | 13–6 | -0.04 | 29% | 17 Jun → | |
| dust2 | 10–13 | 0.01 | 25% | 15 Jun → | |
| dust2 | 12–12 | -0.01 | 24% | 13 Jun → | |
| dust2 | 5–13 | -0.05 | 29% | 11 Jun → | |
| dust2 | 13–4 | 0.08 | 27% | 9 Jun → | |
| dust2 | 7–13 | -0.07 | 31% | 8 Jun → | |
| dust2 | 5–13 | -0.01 | 25% | 8 Jun → | |
| dust2 | 13–6 | 0.04 | 39% | 3 Jun → | |
| dust2 | 13–9 | 0.06 | 22% | 29 May → | |
| dust2 | 13–9 | 0.11 | 26% | 29 May → | |
| cache | 13–5 | 0.03 | 34% | 29 May → | |
| dust2 | 5–13 | 0.11 | 42% | 29 May → | |
| dust2 | 13–7 | -0.02 | 20% | 27 May → | |
| dust2 | 13–10 | -0.03 | 16% | 27 May → | |
| dust2 | 13–8 | -0.02 | 15% | 21 May → | |
| dust2 | 6–13 | 0.03 | 24% | 20 May → | |
| dust2 | 13–6 | 0.06 | 15% | 20 May → | |
| dust2 | 13–3 | 0.07 | 22% | 18 May → | |
| dust2 | 13–7 | 0.03 | 29% | 14 May → | |
| dust2 | 9–13 | -0.03 | 22% | 14 May → | |
| dust2 | 13–8 | -0.03 | 19% | 12 May → | |
| dust2 | 12–12 | -0.02 | 27% | 12 May → | |
| dust2 | 13–5 | 0.08 | 27% | 11 May → | |
| dust2 | 2–13 | -0.08 | 14% | 11 May → | |
| dust2 | 9–13 | -0.01 | 22% | 10 May → | |
| dust2 | 5–13 | -0.02 | 38% | 9 May → | |
| dust2 | 13–7 | 0.15 | 32% | 8 May → | |
| dust2 | 2–13 | -0.01 | 19% | 8 May → | |
| dust2 | 9–2 | 0.08 | 21% | 5 May → | |
| dust2 | 13–9 | -0.02 | 51% | 4 May → | |
| cache | 7–13 | -0.02 | 43% | 29 Apr → | |
| cache | 13–4 | 0.00 | 26% | 28 Apr → | |
| dust2 | 13–3 | -0.04 | 20% | 28 Apr → | |
| dust2 | 7–13 | 0.03 | 30% | 27 Apr → | |
| dust2 | 13–7 | -0.05 | 17% | 27 Apr → | |
| dust2 | 13–11 | -0.02 | 29% | 22 Apr → | |
| dust2 | 12–12 | -0.04 | 23% | 21 Apr → | |
| dust2 | 11–13 | -0.03 | 25% | 20 Apr → | |
| dust2 | 10–13 | -0.01 | 21% | 19 Apr → | |
| ancient | 9–13 | 0.04 | 22% | 18 Apr → |
Match data via Leetify.