Mahzod — CS2 Stats
EG76561197960475501[U:1:209773]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 96% 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 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 60% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 624ms 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 7.4/10 (Strong), 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 | 31 | 17–14 | 55% | 0.00 | |
| A | 20 | 12–8 | 60% | 0.04 | |
| C | 18 | 7–11 | 39% | -0.00 | |
| S | 9 | 7–2 | 78% | 0.04 | |
| B | 8 | 4–4 | 50% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.04 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 132 | 49% | 1.17 | 16.0 |
| Mirage | 110 | 55% | 1.17 | 17.3 |
| Ancient | 91 | 48% | 1.09 | 16.4 |
| Dust2 | 89 | 51% | 1.12 | 16.8 |
| Inferno | 36 | 50% | 1.06 | 15.6 |
| Vertigo | 24 | 58% | 1.18 | 16.5 |
| Nuke | 12 | 33% | 1.06 | 14.8 |
| Cache | 7 | 86% | 1.35 | 18.6 |
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 32.8035% — 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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.00 | 20% | 22 Jul → | ||
| 1–8 | -0.09 | 7% | 19 Jul → | ||
| 13–11 | 0.01 | 32% | 19 Jul → | ||
| 13–3 | 0.06 | 29% | 19 Jul → | ||
| 13–2 | 0.01 | 25% | 18 Jul → | ||
| 13–1 | 0.18 | 40% | 15 Jul → | ||
| 13–16 | 0.09 | 22% | 4 Jul → | ||
| 13–5 | -0.01 | 22% | 4 Jul → | ||
| 9–13 | -0.06 | 32% | 4 Jul → | ||
| 13–9 | 0.11 | 32% | 3 Jul → | ||
| 11–13 | 0.00 | 49% | 3 Jul → | ||
| 12–16 | -0.01 | 25% | 3 Jul → | ||
| 8–10 | 0.08 | 29% | 2 Jul → | ||
| 12–12 | 0.03 | 30% | 1 Jul → | ||
| 13–8 | 0.05 | 29% | 1 Jul → | ||
| 9–13 | -0.03 | 32% | 1 Jul → | ||
| 13–3 | 0.02 | 20% | 30 Jun → | ||
| 13–7 | -0.02 | 20% | 29 Jun → | ||
| 13–3 | 0.06 | 35% | 29 Jun → | ||
| 13–4 | 0.03 | 36% | 29 Jun → | ||
| 13–5 | 0.05 | 44% | 28 Jun → | ||
| 19–17 | 0.02 | 36% | 24 Jun → | ||
| 13–2 | 0.08 | 16% | 23 Jun → | ||
| 13–5 | 0.03 | 44% | 23 Jun → | ||
| 13–9 | 0.05 | 34% | 23 Jun → | ||
| 6–13 | -0.08 | 32% | 22 Jun → | ||
| 13–10 | 0.04 | 30% | 21 Jun → | ||
| 7–13 | -0.06 | 20% | 21 Jun → | ||
| 9–13 | -0.03 | 21% | 6 Jun → | ||
| 13–4 | 0.01 | 14% | 6 Jun → | ||
| 13–0 | -0.01 | 17% | 6 Jun → | ||
| 13–11 | 0.06 | 27% | 3 Jun → | ||
| 13–2 | 0.02 | 17% | 3 Jun → | ||
| 11–13 | -0.06 | 21% | 3 Jun → | ||
| 13–10 | 0.00 | 24% | 1 Jun → | ||
| 12–12 | 0.04 | 30% | 31 May → | ||
| 3–13 | -0.00 | 28% | 31 May → | ||
| 8–13 | 0.00 | 27% | 31 May → | ||
| 2–10 | 0.05 | 22% | 31 May → | ||
| 9–13 | -0.07 | 30% | 30 May → | ||
| 5–13 | -0.00 | 31% | 30 May → | ||
| 13–2 | 0.03 | 33% | 30 May → | ||
| 6–13 | 0.01 | 21% | 30 May → | ||
| 13–8 | 0.06 | 29% | 25 May → | ||
| 10–13 | -0.04 | 41% | 7 May → | ||
| 13–11 | 0.02 | 25% | 2 May → | ||
| 8–13 | 0.05 | 24% | 1 May → | ||
| 13–4 | 0.08 | 23% | 1 May → | ||
| 13–4 | 0.01 | 33% | 1 May → | ||
| 12–12 | 0.08 | 48% | 29 Apr → | ||
| 13–3 | 0.03 | 23% | 28 Apr → | ||
| 13–10 | 0.12 | 18% | 28 Apr → | ||
| 13–7 | 0.03 | 30% | 25 Apr → | ||
| 14–16 | -0.00 | 16% | 24 Apr → | ||
| 13–11 | -0.01 | 32% | 24 Apr → | ||
| 13–10 | -0.05 | 21% | 24 Apr → | ||
| 14–16 | 0.02 | 32% | 24 Apr → | ||
| 11–13 | 0.07 | 32% | 24 Apr → | ||
| 11–13 | 0.02 | 22% | 21 Apr → | ||
| 13–8 | -0.02 | 33% | 21 Apr → | ||
| 9–13 | -0.07 | 35% | 21 Apr → | ||
| 11–13 | -0.05 | 22% | 11 Apr → | ||
| 5–13 | 0.00 | 32% | 11 Apr → | ||
| 10–13 | -0.03 | 23% | 6 Apr → | ||
| 5–13 | 0.08 | 27% | 5 Apr → | ||
| 10–13 | -0.05 | 33% | 5 Apr → | ||
| 13–10 | 0.04 | 38% | 5 Apr → | ||
| 13–11 | 0.16 | 20% | 5 Apr → | ||
| 13–10 | 0.01 | 18% | 4 Apr → | ||
| 8–13 | -0.02 | 16% | 4 Apr → | ||
| 13–4 | 0.07 | 26% | 29 Mar → | ||
| 16–14 | 0.00 | 13% | 29 Mar → | ||
| 13–9 | 0.04 | 23% | 10 Mar → | ||
| 13–5 | 0.02 | 26% | 10 Mar → | ||
| 13–10 | -0.00 | 21% | 9 Mar → | ||
| 7–13 | -0.04 | 26% | 9 Mar → | ||
| 13–10 | 0.04 | 25% | 9 Mar → | ||
| 13–1 | 0.05 | 18% | 9 Mar → | ||
| 7–13 | 0.01 | 24% | 9 Mar → | ||
| 13–10 | 0.09 | 29% | 13 Feb → | ||
| 7–13 | -0.03 | 15% | 13 Feb → | ||
| 10–13 | 0.03 | 19% | 1 Feb → | ||
| 13–4 | 0.04 | 10% | 1 Feb → | ||
| 13–10 | 0.04 | 16% | 1 Feb → | ||
| 15–15 | 0.04 | 25% | 29 Jan → | ||
| 6–13 | -0.02 | 26% | 27 Jan → | ||
| 11–13 | -0.00 | 24% | 27 Jan → | ||
| 13–11 | 0.03 | 24% | 25 Jan → | ||
| 9–13 | 0.00 | 29% | 24 Jan → | ||
| 13–11 | 0.01 | 28% | 24 Jan → | ||
| 13–8 | 0.06 | 17% | 24 Jan → | ||
| 0–13 | -0.03 | 29% | 24 Jan → | ||
| 13–11 | 0.06 | 31% | 24 Jan → | ||
| 13–6 | 0.00 | 31% | 24 Jan → | ||
| 13–7 | 0.02 | 14% | 24 Jan → | ||
| 13–1 | -0.02 | 5% | 23 Jan → | ||
| 13–10 | 0.07 | 18% | 23 Jan → | ||
| 8–13 | 0.01 | 36% | 9 Jan → | ||
| 13–2 | 0.06 | 11% | 8 Jan → | ||
| 9–13 | -0.01 | 23% | 8 Jan → |
Match data via Leetify.