✪ mAz — CS2 Stats
US76561198211316047[U:1:251050319]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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: 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. 644ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 22 | 8–14 | 36% | 0.01 | |
| D | 16 | 3–13 | 19% | 0.01 | |
| D | 13 | 4–9 | 31% | 0.01 | |
| S | 10 | 7–3 | 70% | 0.04 | |
| office | B | 10 | 5–5 | 50% | 0.02 |
| B | 10 | 5–5 | 50% | -0.00 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| C | 5 | 2–3 | 40% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Nuke 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 | 123 | 51% | 1.16 | 16.3 |
| Dust2 | 119 | 49% | 1.12 | 16.6 |
| Inferno | 67 | 55% | 1.09 | 16.6 |
| Ancient | 65 | 40% | 1.12 | 16.1 |
| Nuke | 55 | 55% | 1.24 | 18.4 |
| Anubis | 44 | 41% | 1.15 | 15.8 |
| Train | 15 | 47% | 0.96 | 14.8 |
| Cache | 12 | 50% | 1.33 | 19.8 |
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 38.6661% — 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.
19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.02 | 27% | 23 Aug → | ||
| 10–13 | -0.02 | 18% | 7 Aug → | ||
| 16–14 | 0.08 | 19% | 2 Aug → | ||
| 13–11 | 0.14 | 14% | 2 Aug → | ||
| 13–9 | 0.10 | 23% | 2 Aug → | ||
| 8–13 | 0.09 | 24% | 1 Aug → | ||
| 9–13 | -0.04 | 26% | 19 Jul → | ||
| office | 11–13 | 0.04 | 15% | 13 Jul → | |
| office | 8–13 | 0.04 | 38% | 10 Jul → | |
| 11–13 | 0.04 | 12% | 6 Jul → | ||
| 7–13 | 0.04 | 22% | 6 Jul → | ||
| 13–6 | 0.03 | 35% | 5 Jul → | ||
| 7–13 | 0.02 | 20% | 4 Jul → | ||
| 13–9 | -0.00 | 24% | 4 Jul → | ||
| 13–11 | -0.04 | 15% | 28 Jun → | ||
| 5–13 | 0.04 | 15% | 28 Jun → | ||
| 13–10 | -0.01 | 11% | 23 Jun → | ||
| 3–13 | -0.02 | 23% | 23 Jun → | ||
| 16–19 | 0.05 | 19% | 23 Jun → | ||
| 12–16 | 0.00 | 14% | 23 Jun → | ||
| 13–7 | 0.10 | 20% | 23 Jun → | ||
| 7–13 | 0.13 | 34% | 22 Jun → | ||
| 4–13 | 0.03 | 24% | 21 Jun → | ||
| 14–16 | 0.08 | 15% | 21 Jun → | ||
| 11–13 | 0.03 | 13% | 21 Jun → | ||
| 7–13 | -0.02 | 20% | 14 Jun → | ||
| 15–15 | -0.04 | 17% | 11 Jun → | ||
| 13–3 | 0.07 | 16% | 11 Jun → | ||
| 8–13 | -0.05 | 10% | 11 Jun → | ||
| 13–7 | 0.09 | 9% | 7 Jun → | ||
| 4–13 | -0.01 | 21% | 7 Jun → | ||
| 9–13 | -0.03 | 8% | 7 Jun → | ||
| 3–13 | 0.00 | 28% | 31 May → | ||
| 15–15 | -0.01 | 26% | 31 May → | ||
| 13–11 | -0.00 | 18% | 31 May → | ||
| 13–3 | 0.09 | 31% | 31 May → | ||
| 13–9 | -0.00 | 23% | 25 May → | ||
| 1–13 | 0.04 | 26% | 25 May → | ||
| 15–15 | 0.00 | 19% | 25 May → | ||
| 6–13 | 0.00 | 34% | 25 May → | ||
| 13–11 | 0.04 | 24% | 8 May → | ||
| 13–10 | 0.06 | 24% | 8 May → | ||
| office | 13–11 | 0.02 | 30% | 7 May → | |
| 13–7 | 0.06 | 12% | 5 May → | ||
| 13–10 | 0.03 | 24% | 2 May → | ||
| 13–11 | -0.00 | 18% | 1 May → | ||
| 14–16 | 0.02 | 16% | 1 May → | ||
| 3–13 | -0.00 | 11% | 24 Apr → | ||
| 8–13 | 0.01 | 24% | 19 Apr → | ||
| 13–0 | 0.05 | 14% | 19 Apr → | ||
| 13–8 | 0.01 | 16% | 18 Apr → | ||
| 13–10 | -0.02 | 20% | 17 Apr → | ||
| 13–16 | -0.01 | 9% | 13 Mar → | ||
| 6–13 | 0.04 | 13% | 13 Mar → | ||
| 9–13 | 0.03 | 23% | 28 Feb → | ||
| 7–13 | -0.03 | 10% | 22 Feb → | ||
| 9–13 | 0.04 | 23% | 18 Feb → | ||
| 13–8 | -0.03 | 13% | 15 Feb → | ||
| 13–9 | 0.02 | 16% | 15 Feb → | ||
| 8–13 | -0.00 | 23% | 15 Feb → | ||
| 13–8 | -0.01 | 17% | 15 Feb → | ||
| 11–13 | 0.04 | 17% | 13 Feb → | ||
| 13–10 | 0.03 | 17% | 31 Jan → | ||
| office | 13–9 | 0.04 | 15% | 22 Nov → | |
| 13–8 | -0.02 | 13% | 19 Nov → | ||
| 13–9 | 0.03 | 22% | 17 Nov → | ||
| 11–13 | -0.04 | 20% | 14 Nov → | ||
| 8–13 | -0.04 | 14% | 11 Nov → | ||
| 13–6 | 0.06 | 17% | 11 Nov → | ||
| 13–5 | -0.01 | 19% | 10 Nov → | ||
| 9–13 | -0.02 | 16% | 10 Nov → | ||
| 10–13 | -0.05 | 12% | 5 Nov → | ||
| office | 13–3 | 0.00 | 7% | 5 Nov → | |
| 13–11 | 0.06 | 15% | 1 Nov → | ||
| office | 9–13 | -0.04 | 23% | 1 Nov → | |
| 10–13 | -0.04 | 18% | 31 Oct → | ||
| 8–13 | 0.02 | 24% | 31 Oct → | ||
| 6–13 | 0.00 | 19% | 30 Oct → | ||
| 1–13 | -0.12 | 14% | 29 Oct → | ||
| 13–9 | -0.02 | 23% | 29 Oct → | ||
| 13–10 | 0.09 | 25% | 26 Oct → | ||
| 6–13 | 0.03 | 28% | 26 Oct → | ||
| 1–13 | 0.08 | 22% | 26 Oct → | ||
| 13–6 | -0.02 | 24% | 26 Oct → | ||
| office | 5–6 | 0.01 | 38% | 26 Oct → | |
| 14–16 | -0.03 | 16% | 22 Oct → | ||
| 2–7 | 0.04 | 22% | 22 Oct → | ||
| office | 13–8 | 0.06 | 10% | 19 Oct → | |
| office | 13–11 | -0.00 | 17% | 18 Oct → | |
| office | 5–13 | 0.04 | 27% | 18 Oct → | |
| 12–12 | -0.02 | 26% | 18 Oct → | ||
| 12–12 | 0.00 | 12% | 17 Oct → | ||
| 11–13 | 0.05 | 21% | 17 Oct → | ||
| 3–13 | 0.01 | 14% | 15 Oct → | ||
| 7–13 | 0.01 | 19% | 15 Oct → | ||
| 6–13 | 0.00 | 26% | 15 Oct → | ||
| 9–13 | 0.02 | 13% | 5 Oct → | ||
| 5–13 | 0.01 | 18% | 5 Oct → | ||
| 13–8 | -0.00 | 33% | 5 Oct → | ||
| 13–10 | -0.01 | 17% | 5 Oct → |
Match data via Leetify.