Bayan — CS2 Stats
US76561199021613642[U:1:1061347914]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 55.5% | 49.0% | 52.0% | above |
| Shot accuracy | 10.1% | 13.1% | 13.7% | 3.6% short |
| Kill/death ratio | 1.30 | 1.08 | 1.08 | above |
| Match win rate | 55.0% | 46.9% | 48.8% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerExcellent counter-strafing
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 s1mple 94% 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 85 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 611ms 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 (×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 |
|---|---|---|---|---|---|
| B | 32 | 15–17 | 47% | 0.04 | |
| S | 25 | 17–8 | 68% | 0.03 | |
| S | 16 | 11–5 | 69% | 0.06 | |
| B | 10 | 5–5 | 50% | 0.03 | |
| D | 9 | 3–6 | 33% | 0.05 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 34 | 59% | 1.53 | 22.4 |
| Ancient | 21 | 62% | 1.60 | 25.5 |
| Inferno | 17 | 65% | 1.92 | 21.0 |
| Overpass | 7 | 57% | 1.47 | 23.3 |
| Vertigo | 7 | 86% | 1.40 | 20.0 |
| Anubis | 5 | 40% | 1.38 | 18.4 |
| Dust2 | 5 | 80% | 1.55 | 23.8 |
| Nuke | 2 | 0% | 0.91 | 21.0 |
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
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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | -0.02 | 47% | 12 Aug → | ||
| 13–8 | -0.03 | 13% | 2 Aug → | ||
| 14–16 | 0.02 | 23% | 24 Jul → | ||
| 13–11 | 0.04 | 32% | 21 Jul → | ||
| 3–13 | -0.04 | 21% | 16 Jun → | ||
| 13–8 | 0.03 | 33% | 10 Jun → | ||
| 13–9 | 0.08 | 21% | 9 Jun → | ||
| 13–10 | 0.02 | 34% | 4 Jun → | ||
| 16–12 | 0.07 | 25% | 4 Jun → | ||
| 15–15 | 0.01 | 21% | 3 Jun → | ||
| 8–13 | -0.07 | 17% | 31 May → | ||
| 16–13 | -0.01 | 15% | 31 May → | ||
| 13–11 | 0.00 | 30% | 30 May → | ||
| 8–13 | -0.00 | 32% | 27 May → | ||
| 11–13 | 0.03 | 23% | 23 May → | ||
| 13–10 | 0.05 | 28% | 22 May → | ||
| 14–16 | 0.01 | 31% | 20 May → | ||
| 13–9 | 0.03 | 27% | 20 May → | ||
| 11–13 | 0.03 | 22% | 19 May → | ||
| 13–10 | 0.06 | 22% | 12 May → | ||
| 13–11 | -0.06 | 27% | 12 May → | ||
| 13–9 | 0.09 | 51% | 11 May → | ||
| 13–8 | 0.03 | 24% | 11 May → | ||
| 13–5 | 0.09 | 16% | 11 May → | ||
| 13–5 | 0.08 | 16% | 11 May → | ||
| 13–6 | 0.07 | 31% | 11 May → | ||
| 11–13 | -0.01 | 43% | 10 May → | ||
| 13–3 | -0.07 | 31% | 8 May → | ||
| 13–11 | 0.11 | 28% | 7 May → | ||
| 6–13 | 0.07 | 24% | 7 May → | ||
| 13–10 | 0.01 | 35% | 4 May → | ||
| 8–13 | -0.02 | 19% | 4 May → | ||
| 13–11 | 0.04 | 31% | 4 May → | ||
| 10–13 | 0.04 | 30% | 4 May → | ||
| 6–13 | 0.03 | 16% | 4 May → | ||
| 12–12 | -0.01 | 16% | 29 Apr → | ||
| 16–13 | 0.03 | 17% | 29 Apr → | ||
| 10–13 | 0.14 | 35% | 29 Apr → | ||
| 14–16 | 0.08 | 37% | 23 Apr → | ||
| 6–13 | 0.11 | 24% | 23 Apr → | ||
| 5–13 | 0.01 | 24% | 21 Apr → | ||
| 13–11 | 0.02 | 26% | 21 Apr → | ||
| 13–11 | -0.01 | 30% | 16 Apr → | ||
| 13–9 | 0.03 | 36% | 14 Apr → | ||
| 13–10 | 0.08 | 24% | 14 Apr → | ||
| 11–13 | 0.01 | 29% | 12 Apr → | ||
| 11–13 | -0.03 | 26% | 12 Apr → | ||
| 7–13 | 0.09 | 27% | 4 Apr → | ||
| 13–11 | -0.01 | 39% | 31 Mar → | ||
| 16–14 | 0.10 | 29% | 30 Mar → | ||
| 8–13 | -0.00 | 20% | 30 Mar → | ||
| 6–13 | 0.10 | 29% | 28 Mar → | ||
| 13–7 | 0.07 | 29% | 22 Mar → | ||
| 13–3 | 0.19 | 33% | 22 Mar → | ||
| 14–16 | 0.04 | 30% | 17 Mar → | ||
| 8–13 | 0.07 | 20% | 16 Mar → | ||
| 10–13 | 0.01 | 29% | 13 Mar → | ||
| 13–10 | -0.03 | 17% | 12 Mar → | ||
| 13–8 | 0.10 | 38% | 12 Mar → | ||
| 13–10 | 0.12 | 24% | 12 Mar → | ||
| 13–2 | 0.04 | 17% | 12 Mar → | ||
| 13–11 | 0.05 | 22% | 11 Mar → | ||
| 13–5 | -0.03 | 32% | 11 Mar → | ||
| 13–6 | 0.04 | 31% | 11 Mar → | ||
| 4–13 | -0.01 | 41% | 4 Mar → | ||
| 7–13 | 0.02 | 22% | 4 Mar → | ||
| 13–10 | 0.05 | 32% | 4 Mar → | ||
| 13–5 | 0.09 | 37% | 3 Mar → | ||
| 10–13 | 0.01 | 28% | 3 Mar → | ||
| 13–4 | 0.09 | 20% | 25 Feb → | ||
| 13–11 | -0.01 | 27% | 25 Feb → | ||
| 13–11 | 0.04 | 40% | 24 Feb → | ||
| 6–13 | 0.05 | 15% | 24 Feb → | ||
| 10–13 | -0.00 | 12% | 24 Feb → | ||
| 15–15 | 0.00 | 17% | 23 Feb → | ||
| 13–7 | -0.02 | 29% | 23 Feb → | ||
| 13–16 | 0.02 | 24% | 21 Feb → | ||
| 15–15 | 0.09 | 26% | 19 Feb → | ||
| 13–2 | 0.19 | 18% | 19 Feb → | ||
| 9–13 | 0.01 | 18% | 18 Feb → | ||
| 11–13 | -0.01 | 16% | 18 Feb → | ||
| 13–6 | 0.02 | 23% | 18 Feb → | ||
| 0–9 | -0.01 | 35% | 18 Feb → | ||
| 15–15 | 0.04 | 26% | 18 Feb → | ||
| 10–13 | -0.03 | 28% | 17 Feb → | ||
| 13–10 | 0.00 | 17% | 17 Feb → | ||
| 3–13 | 0.11 | 23% | 17 Feb → | ||
| 13–9 | 0.19 | 23% | 17 Feb → | ||
| 13–7 | 0.08 | 19% | 17 Feb → | ||
| 11–13 | 0.04 | 37% | 17 Feb → | ||
| 13–8 | -0.02 | 28% | 16 Feb → | ||
| 13–10 | 0.09 | 37% | 15 Feb → | ||
| 13–5 | 0.05 | 17% | 15 Feb → | ||
| 5–13 | 0.07 | 19% | 15 Feb → | ||
| 9–13 | -0.05 | 24% | 21 Jan → | ||
| 8–13 | -0.05 | 22% | 20 Jan → | ||
| 13–9 | 0.06 | 31% | 20 Jan → | ||
| 4–13 | 0.04 | 33% | 11 Jan → | ||
| 13–6 | 0.07 | 29% | 7 Jan → | ||
| 13–16 | 0.08 | 16% | 7 Jan → |
Match data via Leetify.