StyuL — CS2 Stats
US76561198353713485[U:1:393447757]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 |
|---|---|---|
| Headshot rate | 67.1% | 52.8% |
| Shot accuracy | 10.7% | 13.7% |
| Kill/death ratio | 0.87 | 1.08 |
| Match win rate | 38.6% | 49.2% |
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerEffective 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 b1t 94% playstyle similarity
Most alike: aim profile, opening-fight frequency.
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 95 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.81 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 62% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
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 7.8/10 (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 |
|---|---|---|---|---|---|
| C | 26 | 10–16 | 38% | 0.02 | |
| B | 24 | 11–13 | 46% | 0.00 | |
| A | 16 | 10–6 | 63% | 0.04 | |
| B | 16 | 8–8 | 50% | 0.03 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| S | 5 | 4–1 | 80% | 0.03 | |
| — | 4 | 2–2 | 50% | -0.00 | |
| — | 3 | 3–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 63 | 52% | 1.13 | 16.1 |
| Dust2 | 51 | 69% | 1.26 | 16.8 |
| Ancient | 32 | 50% | 1.12 | 17.1 |
| Anubis | 24 | 79% | 1.16 | 15.9 |
| Inferno | 22 | 50% | 1.31 | 18.9 |
| Nuke | 14 | 79% | 1.15 | 15.4 |
| Vertigo | 5 | 40% | 1.18 | 16.0 |
| Train | 2 | 50% | 1.08 | 19.0 |
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 30.2012% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | 0.04 | 20% | 30 Jul → | ||
| 13–7 | 0.03 | 15% | 24 Jul → | ||
| 13–3 | 0.11 | 33% | 23 Jul → | ||
| 13–1 | 0.01 | 22% | 23 Jul → | ||
| 11–13 | 0.05 | 27% | 23 Jul → | ||
| 2–0 | 0.00 | 0% | 17 Jul → | ||
| 6–13 | -0.02 | 27% | 17 Jul → | ||
| 1–13 | -0.01 | 33% | 17 Jul → | ||
| 0–13 | -0.08 | 100% | 16 Jul → | ||
| 13–4 | 0.01 | 24% | 15 Jul → | ||
| 1–13 | -0.00 | 30% | 14 Jul → | ||
| 8–13 | -0.06 | 17% | 14 Jul → | ||
| 13–7 | 0.03 | 27% | 13 Jul → | ||
| 10–13 | 0.04 | 20% | 13 Jul → | ||
| 2–13 | -0.08 | 12% | 13 Jul → | ||
| 13–4 | 0.08 | 16% | 12 Jul → | ||
| 13–8 | 0.03 | 14% | 11 Jul → | ||
| 11–13 | 0.05 | 29% | 11 Jul → | ||
| 13–4 | 0.05 | 14% | 11 Jul → | ||
| 0–13 | -0.03 | 0% | 10 Jul → | ||
| 13–7 | 0.08 | 37% | 10 Jul → | ||
| 13–2 | -0.02 | 29% | 10 Jul → | ||
| 13–6 | 0.03 | 28% | 10 Jul → | ||
| 4–13 | 0.01 | 9% | 10 Jul → | ||
| 13–10 | 0.03 | 12% | 10 Jul → | ||
| 13–7 | 0.09 | 21% | 4 Jul → | ||
| 13–10 | 0.02 | 19% | 4 Jul → | ||
| 11–13 | -0.06 | 18% | 4 Jul → | ||
| 9–13 | -0.02 | 24% | 4 Jul → | ||
| 8–13 | 0.07 | 25% | 3 Jul → | ||
| 13–16 | -0.01 | 15% | 3 Jul → | ||
| 8–13 | 0.03 | 15% | 3 Jul → | ||
| 0–13 | -0.11 | 19% | 3 Jul → | ||
| 9–13 | -0.05 | 10% | 3 Jul → | ||
| 13–6 | 0.06 | 14% | 29 Jun → | ||
| 14–16 | 0.01 | 31% | 29 Jun → | ||
| 13–11 | 0.02 | 19% | 28 Jun → | ||
| 13–4 | -0.01 | 23% | 28 Jun → | ||
| 13–5 | 0.08 | 52% | 28 Jun → | ||
| 13–4 | 0.04 | 36% | 28 Jun → | ||
| 13–3 | -0.02 | 23% | 27 Jun → | ||
| 2–13 | 0.08 | 38% | 26 Jun → | ||
| 13–11 | -0.03 | 19% | 26 Jun → | ||
| 1–13 | -0.01 | 42% | 25 Jun → | ||
| 13–6 | 0.04 | 30% | 20 Jun → | ||
| 6–13 | 0.01 | 23% | 19 Jun → | ||
| 16–14 | 0.04 | 21% | 18 Jun → | ||
| 14–16 | -0.00 | 18% | 18 Jun → | ||
| 16–14 | 0.01 | 23% | 13 Jun → | ||
| 16–14 | -0.03 | 30% | 12 Jun → | ||
| 16–14 | 0.07 | 32% | 12 Jun → | ||
| 3–13 | -0.03 | 21% | 12 Jun → | ||
| 15–15 | -0.01 | 15% | 11 Jun → | ||
| 13–10 | -0.01 | 13% | 8 Jun → | ||
| 13–11 | 0.05 | 36% | 6 Jun → | ||
| 10–13 | -0.01 | 17% | 6 Jun → | ||
| 11–13 | 0.06 | 30% | 6 Jun → | ||
| 9–13 | -0.00 | 25% | 5 Jun → | ||
| 13–2 | -0.05 | 21% | 5 Jun → | ||
| 13–2 | 0.08 | 26% | 4 Jun → | ||
| 2–13 | -0.02 | 15% | 4 Jun → | ||
| 3–13 | -0.02 | 25% | 4 Jun → | ||
| 10–13 | -0.03 | 19% | 4 Jun → | ||
| 9–13 | -0.08 | 16% | 4 Jun → | ||
| 11–13 | 0.04 | 21% | 4 Jun → | ||
| 13–11 | 0.00 | 37% | 30 May → | ||
| 7–13 | -0.06 | 21% | 30 May → | ||
| 13–2 | 0.02 | 44% | 23 May → | ||
| 13–8 | 0.13 | 31% | 22 May → | ||
| 1–13 | -0.02 | 39% | 22 May → | ||
| 4–13 | 0.19 | 31% | 22 May → | ||
| 13–11 | 0.12 | 30% | 21 May → | ||
| 5–13 | 0.04 | 22% | 16 May → | ||
| 7–13 | 0.02 | 30% | 16 May → | ||
| 2–13 | 0.05 | 26% | 16 May → | ||
| 0–13 | -0.06 | 100% | 15 May → | ||
| 13–5 | 0.03 | 33% | 10 May → | ||
| 13–8 | 0.08 | 28% | 10 May → | ||
| 13–9 | 0.09 | 24% | 9 May → | ||
| 9–13 | 0.03 | 24% | 9 May → | ||
| 4–13 | -0.00 | 15% | 9 May → | ||
| 7–13 | -0.03 | 27% | 9 May → | ||
| 13–6 | 0.10 | 37% | 8 May → | ||
| 13–4 | -0.01 | 27% | 8 May → | ||
| 13–8 | -0.02 | 20% | 7 May → | ||
| 10–13 | -0.06 | 22% | 3 May → | ||
| 13–9 | 0.05 | 27% | 3 May → | ||
| 15–15 | 0.03 | 23% | 30 Apr → | ||
| 12–12 | -0.02 | 21% | 26 Apr → | ||
| 13–6 | 0.11 | 25% | 26 Apr → | ||
| 13–7 | -0.00 | 21% | 25 Apr → | ||
| 3–13 | -0.01 | 26% | 25 Apr → | ||
| 13–5 | 0.07 | 27% | 24 Apr → | ||
| 13–6 | 0.14 | 32% | 24 Apr → | ||
| 13–11 | 0.01 | 20% | 23 Apr → | ||
| 6–13 | 0.03 | 27% | 21 Apr → | ||
| 12–12 | 0.14 | 31% | 21 Apr → | ||
| 8–13 | -0.03 | 21% | 21 Apr → | ||
| 13–8 | 0.03 | 28% | 21 Apr → | ||
| 13–3 | 0.24 | 39% | 21 Apr → |
Match data via Leetify.