sly — CS2 Stats
76561198433293595[U:1:473027867]✓ No bans
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 51.4% | 52.8% | 1.4% short |
| Shot accuracy | 9.8% | 13.7% | 3.9% short |
| Kill/death ratio | 2.68 | 1.08 | above |
| Match win rate | 52.9% | 49.2% | above |
This profile matches the typical Level 10 player on 2 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: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 89% 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
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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 26 | 14–12 | 54% | 0.00 | |
| A | 18 | 10–8 | 56% | 0.00 | |
| B | 14 | 7–7 | 50% | 0.04 | |
| D | 12 | 3–9 | 25% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.03 | |
| C | 9 | 4–5 | 44% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.00 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.08 |
| office | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 38 | 74% | 1.32 | 18.5 |
| Dust2 | 31 | 58% | 1.36 | 17.7 |
| Nuke | 18 | 44% | 1.29 | 16.7 |
| Inferno | 13 | 38% | 1.32 | 18.0 |
| Anubis | 13 | 62% | 1.09 | 16.7 |
| Ancient | 12 | 42% | 1.05 | 14.9 |
| Cache | 11 | 73% | 1.39 | 20.6 |
| Overpass | 2 | 50% | 1.00 | 16.0 |
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 30.4808% — 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.
25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 11% | 27 Aug → | ||
| 2–13 | -0.05 | 11% | 26 Aug → | ||
| 9–7 | 0.01 | 25% | 26 Aug → | ||
| 13–4 | 0.16 | 19% | 24 Aug → | ||
| 5–13 | 0.01 | 12% | 23 Aug → | ||
| 13–8 | 0.03 | 11% | 23 Aug → | ||
| 16–14 | 0.09 | 13% | 23 Aug → | ||
| 9–13 | -0.06 | 19% | 23 Aug → | ||
| 8–13 | -0.00 | 10% | 23 Aug → | ||
| 16–13 | 0.12 | 17% | 22 Aug → | ||
| 10–13 | 0.06 | 20% | 22 Aug → | ||
| 13–5 | 0.02 | 14% | 22 Aug → | ||
| 13–16 | 0.03 | 10% | 21 Aug → | ||
| 3–13 | -0.07 | 16% | 21 Aug → | ||
| 13–11 | 0.03 | 10% | 21 Aug → | ||
| 13–7 | -0.04 | 16% | 20 Aug → | ||
| 13–4 | 0.03 | 22% | 20 Aug → | ||
| 11–13 | 0.00 | 37% | 20 Aug → | ||
| 13–5 | -0.00 | 18% | 19 Aug → | ||
| 8–13 | -0.02 | 16% | 19 Aug → | ||
| 4–10 | -0.04 | 14% | 19 Aug → | ||
| 13–9 | 0.05 | 6% | 19 Aug → | ||
| 6–13 | -0.07 | 18% | 18 Aug → | ||
| 13–4 | 0.06 | 18% | 16 Aug → | ||
| 13–6 | 0.14 | 14% | 16 Aug → | ||
| 0–9 | -0.08 | 19% | 16 Aug → | ||
| 13–6 | 0.07 | 11% | 16 Aug → | ||
| 8–13 | -0.00 | 7% | 15 Aug → | ||
| 10–13 | 0.01 | 21% | 15 Aug → | ||
| 13–3 | -0.01 | 8% | 15 Aug → | ||
| 22–19 | 0.03 | 17% | 14 Aug → | ||
| 9–13 | -0.05 | 7% | 14 Aug → | ||
| 13–6 | 0.03 | 30% | 14 Aug → | ||
| 9–2 | 0.04 | 21% | 14 Aug → | ||
| 13–8 | 0.07 | 22% | 13 Aug → | ||
| 11–13 | -0.05 | 19% | 12 Aug → | ||
| 9–13 | -0.03 | 17% | 11 Aug → | ||
| 13–11 | 0.06 | 13% | 8 Aug → | ||
| 2–13 | 0.02 | 17% | 7 Aug → | ||
| 9–13 | 0.05 | 25% | 7 Aug → | ||
| 13–1 | 0.01 | 18% | 7 Aug → | ||
| 6–13 | -0.00 | 20% | 6 Aug → | ||
| 13–5 | 0.05 | 12% | 6 Aug → | ||
| 5–13 | -0.10 | 23% | 6 Aug → | ||
| 13–8 | 0.07 | 20% | 6 Aug → | ||
| 13–9 | -0.03 | 17% | 4 Aug → | ||
| 7–13 | -0.04 | 27% | 3 Aug → | ||
| 16–13 | -0.01 | 26% | 2 Aug → | ||
| 13–3 | 0.00 | 24% | 2 Aug → | ||
| 15–15 | 0.03 | 18% | 1 Aug → | ||
| 13–6 | 0.04 | 30% | 1 Aug → | ||
| 6–13 | -0.01 | 34% | 1 Aug → | ||
| 13–11 | 0.05 | 21% | 1 Aug → | ||
| 11–13 | -0.01 | 26% | 1 Aug → | ||
| 3–13 | -0.05 | 10% | 31 Jul → | ||
| 13–11 | -0.01 | 23% | 31 Jul → | ||
| 2–9 | -0.09 | 21% | 31 Jul → | ||
| 5–9 | 0.00 | 20% | 31 Jul → | ||
| 13–7 | 0.02 | 13% | 30 Jul → | ||
| 13–9 | 0.01 | 15% | 30 Jul → | ||
| 13–7 | 0.01 | 13% | 30 Jul → | ||
| 13–8 | -0.01 | 14% | 30 Jul → | ||
| 13–9 | 0.11 | 9% | 29 Jul → | ||
| 10–13 | -0.02 | 8% | 29 Jul → | ||
| 0–4 | -0.08 | 0% | 28 Jul → | ||
| 13–9 | 0.03 | 17% | 28 Jul → | ||
| 6–13 | -0.04 | 10% | 28 Jul → | ||
| 13–3 | 0.15 | 23% | 28 Jul → | ||
| 5–13 | 0.03 | 17% | 28 Jul → | ||
| 13–10 | 0.05 | 21% | 28 Jul → | ||
| 13–5 | -0.00 | 29% | 27 Jul → | ||
| 13–3 | 0.04 | 19% | 27 Jul → | ||
| 2–13 | -0.04 | 24% | 27 Jul → | ||
| 16–14 | 0.09 | 14% | 27 Jul → | ||
| fachwerk | 13–4 | 0.08 | 23% | 27 Jul → | |
| 16–14 | -0.02 | 8% | 27 Jul → | ||
| 13–6 | 0.03 | 28% | 26 Jul → | ||
| 7–13 | -0.04 | 18% | 26 Jul → | ||
| 9–13 | 0.00 | 18% | 26 Jul → | ||
| 6–13 | -0.06 | 22% | 26 Jul → | ||
| 6–13 | 0.00 | 15% | 26 Jul → | ||
| 8–13 | 0.05 | 10% | 25 Jul → | ||
| 13–8 | 0.03 | 27% | 25 Jul → | ||
| 13–11 | -0.02 | 24% | 25 Jul → | ||
| office | 13–5 | 0.10 | 27% | 25 Jul → | |
| 11–13 | -0.01 | 13% | 25 Jul → | ||
| 13–11 | 0.04 | 20% | 24 Jul → | ||
| 5–13 | 0.03 | 16% | 24 Jul → | ||
| 15–15 | 0.07 | 22% | 24 Jul → | ||
| 9–13 | 0.06 | 22% | 24 Jul → | ||
| 6–13 | -0.03 | 20% | 24 Jul → | ||
| 13–8 | 0.02 | 16% | 24 Jul → | ||
| 8–13 | 0.06 | 18% | 23 Jul → | ||
| 13–5 | 0.04 | 17% | 23 Jul → | ||
| 4–13 | -0.01 | 15% | 23 Jul → | ||
| 9–13 | -0.00 | 16% | 23 Jul → | ||
| 13–7 | -0.00 | 20% | 23 Jul → | ||
| 11–13 | -0.00 | 15% | 23 Jul → | ||
| 9–13 | 0.02 | 15% | 22 Jul → | ||
| 7–13 | 0.02 | 7% | 22 Jul → |
Match data via Leetify.