Fuglian — CS2 Stats
76561198070992094[U:1:110726366]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 45.1% | 47.0% | 48.5% | 3.5% short |
| Shot accuracy | 15.5% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.42 | 1.07 | 1.07 | above |
| Match win rate | 43.9% | 46.4% | 47.0% | 3.1% short |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: +10pp win rate · -0.00 avg rating
Player DNA
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 NiKo 87% playstyle similarity
Most alike: utility contribution, 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
T-side openings. Opening success drops from 49% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 568ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 28 | 14–14 | 50% | 0.03 | |
| B | 19 | 9–10 | 47% | 0.01 | |
| B | 19 | 9–10 | 47% | 0.03 | |
| C | 13 | 5–8 | 38% | 0.03 | |
| B | 11 | 5–6 | 45% | 0.03 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 2 | 0–2 | 0% | -0.08 | |
| — | 1 | 1–0 | 100% | 0.03 |
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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 29% | 1.12 | 17.7 |
| Inferno | 7 | 86% | 1.32 | 18.1 |
| Ancient | 6 | 50% | 1.31 | 21.2 |
| Anubis | 5 | 60% | 1.21 | 18.4 |
| Nuke | 2 | 0% | 0.96 | 15.0 |
| Train | 1 | 0% | 1.06 | 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 25.5326% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.00 | 13% | 22 Aug → | ||
| 13–9 | 0.01 | 10% | 21 Aug → | ||
| 13–3 | 0.09 | 8% | 21 Aug → | ||
| 13–11 | 0.01 | 10% | 16 Aug → | ||
| 13–5 | 0.03 | 24% | 11 Aug → | ||
| 13–10 | 0.02 | 16% | 11 Aug → | ||
| 14–16 | 0.03 | 21% | 7 Aug → | ||
| 2–13 | -0.01 | 11% | 7 Aug → | ||
| 5–13 | -0.03 | 7% | 6 Aug → | ||
| 15–15 | -0.02 | 13% | 6 Aug → | ||
| 12–3 | 0.00 | 11% | 6 Aug → | ||
| 4–13 | -0.07 | 7% | 6 Aug → | ||
| 3–13 | 0.04 | 11% | 2 Aug → | ||
| 9–13 | 0.08 | 19% | 27 Jul → | ||
| 13–3 | 0.10 | 22% | 26 Jul → | ||
| 13–5 | -0.03 | 17% | 25 Jul → | ||
| 9–13 | 0.02 | 17% | 24 Jul → | ||
| 8–13 | -0.03 | 21% | 23 Jul → | ||
| 8–13 | 0.01 | 19% | 11 Jul → | ||
| 13–10 | 0.04 | 19% | 11 Jul → | ||
| 13–5 | 0.06 | 15% | 9 Jul → | ||
| 12–12 | -0.01 | 14% | 7 Jul → | ||
| 6–13 | -0.05 | 15% | 3 Jul → | ||
| 2–13 | -0.03 | 11% | 28 Jun → | ||
| 4–9 | -0.17 | 8% | 26 Jun → | ||
| 13–9 | 0.02 | 19% | 25 Jun → | ||
| 13–10 | 0.08 | 16% | 23 Jun → | ||
| 12–16 | -0.03 | 21% | 21 Jun → | ||
| 8–13 | -0.06 | 4% | 20 Jun → | ||
| 13–8 | 0.01 | 7% | 12 Jun → | ||
| 16–12 | 0.06 | 23% | 12 Jun → | ||
| 13–3 | 0.04 | 7% | 12 Jun → | ||
| 6–13 | 0.01 | 19% | 12 Jun → | ||
| 13–4 | 0.03 | 19% | 11 Jun → | ||
| 13–9 | 0.08 | 12% | 10 Jun → | ||
| 2–13 | -0.05 | 14% | 6 Jun → | ||
| 10–13 | 0.04 | 23% | 6 Jun → | ||
| 11–5 | 0.06 | 16% | 6 Jun → | ||
| 6–13 | -0.04 | 32% | 2 Jun → | ||
| 2–13 | -0.06 | 22% | 2 Jun → | ||
| 13–11 | 0.07 | 22% | 1 Jun → | ||
| 13–10 | 0.06 | 32% | 1 Jun → | ||
| 8–13 | -0.02 | 16% | 1 Jun → | ||
| 13–9 | -0.02 | 17% | 30 May → | ||
| 4–13 | 0.01 | 6% | 30 May → | ||
| 13–8 | 0.16 | 17% | 29 May → | ||
| 13–11 | 0.01 | 8% | 28 May → | ||
| 13–7 | 0.02 | 14% | 14 May → | ||
| 8–13 | 0.02 | 19% | 14 May → | ||
| 3–13 | -0.01 | 27% | 13 May → | ||
| 13–3 | 0.03 | 28% | 13 May → | ||
| 3–13 | -0.00 | 13% | 13 May → | ||
| 7–13 | 0.01 | 16% | 2 May → | ||
| 12–12 | -0.00 | 13% | 29 Apr → | ||
| 10–13 | -0.02 | 11% | 27 Apr → | ||
| 13–8 | 0.05 | 16% | 25 Apr → | ||
| 7–13 | 0.02 | 31% | 25 Apr → | ||
| 8–13 | 0.05 | 16% | 24 Apr → | ||
| 13–11 | 0.07 | 19% | 12 Apr → | ||
| 13–10 | -0.04 | 9% | 12 Apr → | ||
| 8–13 | 0.01 | 19% | 10 Apr → | ||
| 13–6 | 0.05 | 17% | 10 Apr → | ||
| 13–11 | 0.16 | 26% | 10 Apr → | ||
| 8–13 | -0.01 | 17% | 5 Apr → | ||
| 4–13 | -0.02 | 20% | 5 Apr → | ||
| 3–13 | -0.06 | 20% | 4 Apr → | ||
| 3–13 | -0.03 | 17% | 22 Mar → | ||
| 9–13 | 0.05 | 22% | 22 Mar → | ||
| 13–6 | 0.08 | 7% | 22 Mar → | ||
| 7–13 | 0.04 | 16% | 21 Mar → | ||
| 7–13 | 0.04 | 17% | 14 Mar → | ||
| 4–13 | -0.03 | 23% | 13 Mar → | ||
| 7–13 | 0.06 | 18% | 13 Mar → | ||
| 16–12 | 0.07 | 14% | 13 Mar → | ||
| 13–6 | -0.00 | 13% | 13 Mar → | ||
| 13–3 | 0.09 | 16% | 13 Mar → | ||
| 11–13 | 0.00 | 26% | 13 Mar → | ||
| 7–13 | -0.05 | 13% | 13 Mar → | ||
| 5–13 | -0.03 | 9% | 11 Mar → | ||
| 13–6 | 0.07 | 20% | 11 Mar → | ||
| 5–13 | 0.10 | 16% | 10 Mar → | ||
| 12–16 | 0.01 | 17% | 9 Mar → | ||
| 13–6 | 0.15 | 16% | 8 Mar → | ||
| 11–13 | -0.02 | 17% | 8 Mar → | ||
| 13–9 | 0.13 | 19% | 7 Mar → | ||
| 13–11 | 0.06 | 24% | 7 Mar → | ||
| 14–16 | 0.10 | 14% | 4 Mar → | ||
| 13–10 | 0.04 | 15% | 2 Mar → | ||
| 10–13 | 0.02 | 18% | 2 Mar → | ||
| 16–12 | 0.01 | 23% | 21 Feb → | ||
| 13–9 | 0.04 | 14% | 15 Feb → | ||
| 8–13 | 0.06 | 11% | 14 Feb → | ||
| 13–10 | 0.02 | 8% | 14 Feb → | ||
| 13–3 | 0.11 | 15% | 14 Feb → | ||
| 5–13 | 0.06 | 20% | 13 Feb → | ||
| 13–9 | 0.02 | 16% | 13 Feb → | ||
| 11–13 | -0.03 | 5% | 13 Feb → | ||
| 13–10 | -0.02 | 18% | 12 Feb → | ||
| 13–9 | -0.01 | 15% | 12 Feb → | ||
| 8–13 | 0.02 | 16% | 11 Feb → |
Match data via Leetify.
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