qwertyiopasd — CS2 Stats
76561199042179399[U:1:1081913671]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 95% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 93 — 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.
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 7.1/10 (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 | 31 | 21–10 | 68% | 0.06 | |
| A | 29 | 18–11 | 62% | 0.05 | |
| B | 17 | 8–9 | 47% | 0.08 | |
| S | 7 | 6–1 | 86% | 0.07 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.02 | |
| shelter | — | 1 | 0–1 | 0% | 0.01 |
| — | 1 | 0–1 | 0% | -0.04 | |
| — | 1 | 1–0 | 100% | 0.24 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 306 | 50% | 1.35 | 20.5 |
| Ancient | 161 | 55% | 1.33 | 20.2 |
| Dust2 | 146 | 55% | 1.41 | 20.0 |
| Anubis | 145 | 50% | 1.23 | 18.8 |
| Inferno | 51 | 61% | 1.33 | 19.2 |
| Vertigo | 34 | 68% | 1.30 | 18.9 |
| Nuke | 29 | 69% | 1.15 | 17.1 |
| Overpass | 14 | 43% | 1.23 | 19.1 |
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 38.1476% — 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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 26% | 9 Jul → | ||
| 4–13 | 0.11 | 24% | 9 Jul → | ||
| shelter | 7–13 | 0.01 | 25% | 9 Jul → | |
| 13–7 | 0.01 | 14% | 24 Jun → | ||
| 13–10 | 0.08 | 28% | 24 Jun → | ||
| 6–13 | -0.04 | 24% | 10 Jun → | ||
| 13–3 | 0.06 | 20% | 10 Jun → | ||
| 0–13 | -0.07 | 75% | 10 Jun → | ||
| 9–13 | -0.01 | 34% | 10 Jun → | ||
| 13–10 | -0.02 | 27% | 10 Jun → | ||
| 8–13 | -0.06 | 23% | 9 Jun → | ||
| 7–13 | 0.09 | 34% | 6 Jun → | ||
| 12–12 | 0.11 | 23% | 5 Jun → | ||
| 8–0 | 0.24 | 35% | 5 Jun → | ||
| 13–7 | 0.01 | 38% | 31 May → | ||
| 13–3 | 0.07 | 29% | 30 May → | ||
| 13–0 | 0.10 | 22% | 30 May → | ||
| 13–2 | 0.07 | 18% | 30 May → | ||
| 11–13 | -0.04 | 19% | 25 May → | ||
| 16–12 | -0.01 | 21% | 24 May → | ||
| 13–9 | 0.06 | 23% | 24 May → | ||
| 3–13 | 0.06 | 31% | 18 May → | ||
| 5–13 | 0.06 | 35% | 18 May → | ||
| 7–13 | 0.02 | 21% | 16 May → | ||
| 7–13 | 0.15 | 24% | 16 May → | ||
| 11–13 | -0.00 | 23% | 15 May → | ||
| 10–13 | 0.04 | 31% | 15 May → | ||
| 11–13 | 0.01 | 21% | 14 May → | ||
| 16–12 | 0.03 | 19% | 12 May → | ||
| 13–8 | 0.03 | 29% | 11 May → | ||
| 2–13 | -0.02 | 25% | 8 May → | ||
| 11–13 | -0.01 | 35% | 8 May → | ||
| 8–13 | -0.01 | 19% | 7 May → | ||
| 8–13 | -0.03 | 30% | 7 May → | ||
| 9–13 | 0.11 | 36% | 7 May → | ||
| 13–6 | 0.11 | 33% | 6 May → | ||
| 7–13 | -0.01 | 20% | 5 May → | ||
| 13–1 | 0.10 | 35% | 5 May → | ||
| 10–13 | 0.01 | 18% | 2 May → | ||
| 10–13 | -0.03 | 43% | 1 May → | ||
| 31–29 | 0.03 | 27% | 30 Apr → | ||
| 5–13 | 0.04 | 32% | 29 Apr → | ||
| 13–11 | 0.09 | 33% | 27 Apr → | ||
| 13–3 | 0.15 | 50% | 27 Apr → | ||
| 8–8 | 0.10 | 15% | 25 Apr → | ||
| 9–5 | 0.12 | 34% | 25 Apr → | ||
| 3–9 | 0.03 | 28% | 25 Apr → | ||
| 13–5 | 0.16 | 24% | 24 Apr → | ||
| 13–9 | 0.03 | 16% | 24 Apr → | ||
| 13–9 | 0.23 | 36% | 24 Apr → | ||
| 4–13 | 0.03 | 32% | 24 Apr → | ||
| 13–10 | 0.04 | 24% | 24 Apr → | ||
| 13–2 | 0.14 | 8% | 23 Apr → | ||
| 13–8 | 0.12 | 30% | 23 Apr → | ||
| 13–1 | 0.12 | 27% | 23 Apr → | ||
| 3–11 | -0.00 | 21% | 23 Apr → | ||
| 11–13 | -0.01 | 33% | 23 Apr → | ||
| 13–9 | 0.02 | 24% | 23 Apr → | ||
| 8–13 | 0.03 | 25% | 22 Apr → | ||
| 13–11 | 0.05 | 27% | 21 Apr → | ||
| 13–8 | 0.09 | 20% | 21 Apr → | ||
| 13–11 | 0.07 | 43% | 21 Apr → | ||
| 13–5 | 0.14 | 24% | 24 Mar → | ||
| 7–13 | 0.09 | 29% | 14 Mar → | ||
| 13–11 | 0.08 | 33% | 14 Mar → | ||
| 8–13 | 0.02 | 42% | 13 Mar → | ||
| 13–9 | 0.07 | 33% | 13 Mar → | ||
| 13–6 | 0.05 | 32% | 13 Mar → | ||
| 13–8 | 0.04 | 34% | 13 Mar → | ||
| 8–13 | -0.02 | 10% | 13 Mar → | ||
| 13–11 | -0.01 | 48% | 13 Mar → | ||
| 13–3 | -0.00 | 29% | 13 Mar → | ||
| 3–0 | -0.03 | 14% | 13 Mar → | ||
| 13–4 | 0.06 | 47% | 13 Mar → | ||
| 13–1 | 0.08 | 17% | 13 Mar → | ||
| 13–2 | 0.11 | 20% | 13 Mar → | ||
| 13–6 | 0.06 | 27% | 13 Mar → | ||
| 9–13 | 0.07 | 29% | 12 Mar → | ||
| 15–15 | -0.05 | 13% | 12 Mar → | ||
| 13–4 | 0.05 | 34% | 11 Mar → | ||
| 16–14 | 0.09 | 23% | 11 Mar → | ||
| 11–13 | 0.01 | 24% | 11 Mar → | ||
| 7–13 | -0.02 | 22% | 9 Mar → | ||
| 8–13 | 0.01 | 49% | 6 Mar → | ||
| 13–2 | 0.08 | 19% | 6 Mar → | ||
| 13–10 | 0.02 | 23% | 6 Mar → | ||
| 13–3 | 0.03 | 15% | 6 Mar → | ||
| 11–13 | 0.06 | 23% | 6 Mar → | ||
| 13–1 | 0.03 | 36% | 6 Mar → | ||
| 13–11 | 0.06 | 21% | 6 Mar → | ||
| 4–13 | -0.02 | 20% | 6 Mar → | ||
| 9–13 | 0.09 | 27% | 6 Mar → | ||
| 8–8 | 0.01 | 28% | 2 Mar → | ||
| 9–1 | 0.27 | 19% | 2 Mar → | ||
| 9–3 | 0.27 | 13% | 2 Mar → | ||
| 9–2 | 0.28 | 24% | 2 Mar → | ||
| 9–5 | 0.07 | 27% | 2 Mar → | ||
| 13–9 | 0.17 | 27% | 1 Mar → | ||
| 13–11 | 0.04 | 34% | 1 Mar → | ||
| 9–4 | 0.15 | 33% | 28 Feb → |
Match data via Leetify.