mazz — CS2 Stats
76561199261576748[U:1:1301311020]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong T-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 jL 94% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower 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 86 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
CT openings. Opening success drops from 53% on T to 38% on CT — first contacts on the defending side are being lost.
Reaction time. 560ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 30 | 21–9 | 70% | 0.03 | |
| A | 26 | 15–11 | 58% | 0.01 | |
| B | 16 | 8–8 | 50% | 0.00 | |
| A | 11 | 6–5 | 55% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| — | 2 | 2–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 159 | 66% | 1.27 | 17.2 |
| Dust2 | 124 | 46% | 1.06 | 16.6 |
| Ancient | 54 | 50% | 1.05 | 16.9 |
| Inferno | 52 | 46% | 1.14 | 16.8 |
| Anubis | 45 | 56% | 1.19 | 17.1 |
| Nuke | 30 | 47% | 1.07 | 17.0 |
| Overpass | 10 | 20% | 0.83 | 16.0 |
| Cache | 7 | 71% | 1.05 | 14.3 |
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.
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.6417% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 0–5 | -0.06 | 0% | 27 Aug → | ||
| 16–12 | 0.04 | 32% | 26 Aug → | ||
| 3–13 | 0.03 | 27% | 26 Aug → | ||
| 13–7 | 0.00 | 33% | 25 Aug → | ||
| 19–15 | 0.03 | 26% | 25 Aug → | ||
| 6–9 | 0.06 | 23% | 25 Aug → | ||
| 6–13 | -0.07 | 18% | 24 Aug → | ||
| 7–13 | -0.03 | 22% | 24 Aug → | ||
| 13–10 | 0.03 | 19% | 23 Aug → | ||
| 13–7 | 0.03 | 36% | 23 Aug → | ||
| 13–6 | 0.09 | 10% | 23 Aug → | ||
| 13–11 | 0.02 | 26% | 23 Aug → | ||
| 13–11 | 0.01 | 26% | 23 Aug → | ||
| 13–4 | 0.04 | 26% | 23 Aug → | ||
| 11–13 | 0.04 | 25% | 23 Aug → | ||
| 13–7 | -0.02 | 22% | 22 Aug → | ||
| 12–16 | 0.04 | 35% | 22 Aug → | ||
| 6–13 | -0.03 | 28% | 21 Aug → | ||
| 11–13 | 0.01 | 21% | 20 Aug → | ||
| 4–13 | -0.06 | 24% | 20 Aug → | ||
| 13–11 | -0.00 | 31% | 19 Aug → | ||
| 10–13 | 0.01 | 29% | 19 Aug → | ||
| 19–15 | -0.05 | 22% | 19 Aug → | ||
| 8–3 | -0.03 | 17% | 18 Aug → | ||
| 7–13 | -0.08 | 24% | 18 Aug → | ||
| 13–7 | 0.01 | 23% | 18 Aug → | ||
| 8–13 | 0.06 | 37% | 18 Aug → | ||
| 13–7 | 0.03 | 24% | 18 Aug → | ||
| 11–13 | 0.02 | 37% | 18 Aug → | ||
| 13–9 | -0.01 | 22% | 18 Aug → | ||
| 8–13 | 0.03 | 40% | 15 Aug → | ||
| 13–8 | -0.01 | 28% | 15 Aug → | ||
| 13–8 | -0.02 | 33% | 15 Aug → | ||
| 13–6 | 0.01 | 36% | 15 Aug → | ||
| 5–13 | -0.03 | 26% | 15 Aug → | ||
| 11–13 | -0.01 | 23% | 15 Aug → | ||
| 13–7 | -0.05 | 22% | 14 Aug → | ||
| 13–9 | 0.08 | 28% | 14 Aug → | ||
| 13–7 | 0.14 | 21% | 13 Aug → | ||
| 10–13 | 0.04 | 23% | 13 Aug → | ||
| 13–11 | 0.10 | 27% | 13 Aug → | ||
| 10–13 | -0.01 | 19% | 30 Jul → | ||
| 4–0 | -0.02 | 0% | 30 Jul → | ||
| 13–6 | 0.01 | 45% | 30 Jul → | ||
| 13–5 | -0.00 | 17% | 30 Jul → | ||
| 7–13 | -0.07 | 36% | 30 Jul → | ||
| 13–10 | 0.02 | 40% | 29 Jul → | ||
| 13–11 | 0.04 | 32% | 29 Jul → | ||
| 13–16 | -0.00 | 28% | 29 Jul → | ||
| 5–13 | 0.01 | 31% | 29 Jul → | ||
| 16–12 | -0.02 | 24% | 29 Jul → | ||
| 16–13 | -0.01 | 31% | 29 Jul → | ||
| 13–6 | 0.04 | 30% | 28 Jul → | ||
| 13–11 | -0.01 | 36% | 28 Jul → | ||
| 13–3 | 0.10 | 22% | 28 Jul → | ||
| 16–14 | -0.01 | 19% | 28 Jul → | ||
| 6–10 | 0.02 | 17% | 28 Jul → | ||
| 15–15 | 0.03 | 34% | 28 Jul → | ||
| 13–4 | -0.03 | 13% | 27 Jul → | ||
| 1–4 | -0.00 | 33% | 27 Jul → | ||
| 13–7 | 0.04 | 30% | 27 Jul → | ||
| 14–16 | 0.03 | 27% | 27 Jul → | ||
| 5–13 | -0.01 | 23% | 27 Jul → | ||
| 7–13 | 0.00 | 34% | 26 Jul → | ||
| 13–2 | 0.05 | 31% | 26 Jul → | ||
| 13–10 | 0.03 | 20% | 26 Jul → | ||
| 13–10 | 0.04 | 25% | 26 Jul → | ||
| 6–13 | 0.05 | 26% | 26 Jul → | ||
| 13–7 | 0.07 | 25% | 26 Jul → | ||
| 6–13 | 0.02 | 51% | 26 Jul → | ||
| 7–13 | -0.03 | 23% | 25 Jul → | ||
| 13–4 | -0.03 | 41% | 25 Jul → | ||
| 13–5 | -0.02 | 25% | 25 Jul → | ||
| 13–6 | 0.03 | 33% | 25 Jul → | ||
| 13–5 | 0.13 | 24% | 25 Jul → | ||
| 3–13 | -0.03 | 35% | 25 Jul → | ||
| 13–6 | 0.05 | 39% | 25 Jul → | ||
| 9–13 | 0.00 | 18% | 25 Jul → | ||
| 13–7 | 0.05 | 35% | 25 Jul → | ||
| 13–3 | 0.02 | 33% | 25 Jul → | ||
| 9–13 | 0.03 | 33% | 25 Jul → | ||
| 13–11 | -0.04 | 29% | 25 Jul → | ||
| 13–8 | 0.03 | 41% | 25 Jul → | ||
| 13–6 | 0.07 | 46% | 25 Jul → | ||
| 13–8 | 0.11 | 30% | 25 Jul → | ||
| 13–11 | 0.05 | 36% | 25 Jul → | ||
| 13–1 | 0.10 | 30% | 25 Jul → | ||
| 2–13 | -0.02 | 27% | 24 Jul → | ||
| 14–16 | 0.02 | 31% | 24 Jul → | ||
| 13–4 | 0.06 | 23% | 24 Jul → | ||
| 13–6 | 0.05 | 21% | 24 Jul → | ||
| 0–13 | -0.02 | 38% | 24 Jul → | ||
| 2–13 | 0.05 | 32% | 23 Jul → | ||
| 13–9 | 0.05 | 29% | 23 Jul → | ||
| 13–8 | 0.04 | 32% | 23 Jul → | ||
| 16–12 | 0.02 | 22% | 23 Jul → | ||
| 10–13 | -0.00 | 38% | 23 Jul → | ||
| 13–11 | -0.02 | 25% | 23 Jul → | ||
| 13–5 | 0.02 | 23% | 23 Jul → | ||
| 13–6 | 0.02 | 26% | 23 Jul → |
Match data via Leetify.