Ruzi — CS2 Stats
76561198304131340[U:1:343865612]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 52.8% | 48.1% |
| Shot accuracy | 18.4% | 12.9% |
| Kill/death ratio | 1.16 | 1.08 |
| Match win rate | 45.5% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingStrong CT-side openerLimited utility dependence
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 88% 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
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 46% on CT to 26% 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 35 | 13–22 | 37% | -0.01 | |
| B | 32 | 17–15 | 53% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.00 | |
| A | 7 | 4–3 | 57% | -0.01 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| S | 7 | 5–2 | 71% | -0.01 | |
| — | 4 | 0–4 | 0% | -0.00 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (37% over 35). 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 | 3 | 33% | 0.74 | 12.7 |
| Ancient | 2 | 100% | 1.00 | 12.0 |
| Nuke | 1 | 0% | 0.93 | 14.0 |
| Cache | 1 | 100% | 1.07 | 15.0 |
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 26.4015% — 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.
37% win rate across 35 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.00 | 18% | 26 Aug → | ||
| 16–14 | 0.02 | 30% | 25 Aug → | ||
| 13–10 | -0.00 | 17% | 25 Aug → | ||
| 13–8 | 0.06 | 14% | 24 Aug → | ||
| 13–5 | -0.01 | 26% | 24 Aug → | ||
| 11–13 | 0.00 | 23% | 24 Aug → | ||
| 7–13 | -0.03 | 12% | 22 Aug → | ||
| 6–13 | -0.02 | 23% | 22 Aug → | ||
| 9–13 | 0.04 | 19% | 22 Aug → | ||
| 3–13 | -0.06 | 30% | 22 Aug → | ||
| 8–13 | 0.01 | 18% | 22 Aug → | ||
| 9–13 | 0.02 | 13% | 22 Aug → | ||
| 5–13 | 0.03 | 25% | 22 Aug → | ||
| 13–8 | -0.01 | 27% | 22 Aug → | ||
| 10–13 | -0.02 | 16% | 20 Aug → | ||
| 0–13 | 0.01 | 17% | 20 Aug → | ||
| 9–13 | -0.01 | 17% | 20 Aug → | ||
| 13–9 | 0.02 | 15% | 19 Aug → | ||
| 7–13 | -0.11 | 29% | 18 Aug → | ||
| 13–7 | 0.01 | 18% | 18 Aug → | ||
| 3–4 | -0.03 | 42% | 18 Aug → | ||
| 16–14 | -0.04 | 8% | 17 Aug → | ||
| 13–6 | -0.01 | 25% | 17 Aug → | ||
| 11–13 | -0.09 | 33% | 14 Aug → | ||
| 13–11 | 0.01 | 17% | 14 Aug → | ||
| 13–4 | 0.08 | 19% | 14 Aug → | ||
| 13–6 | -0.04 | 14% | 14 Aug → | ||
| 13–7 | -0.06 | 14% | 14 Aug → | ||
| 8–13 | -0.03 | 34% | 13 Aug → | ||
| 13–11 | -0.04 | 17% | 13 Aug → | ||
| 13–9 | 0.00 | 26% | 13 Aug → | ||
| 12–16 | -0.06 | 18% | 12 Aug → | ||
| 16–14 | -0.02 | 11% | 12 Aug → | ||
| 9–13 | -0.05 | 15% | 11 Aug → | ||
| 13–11 | 0.02 | 15% | 10 Aug → | ||
| 13–7 | 0.02 | 23% | 10 Aug → | ||
| 16–12 | 0.04 | 19% | 10 Aug → | ||
| 9–13 | 0.02 | 16% | 9 Aug → | ||
| 10–13 | -0.07 | 23% | 8 Aug → | ||
| 8–13 | 0.01 | 13% | 8 Aug → | ||
| 6–13 | 0.01 | 10% | 8 Aug → | ||
| 10–13 | -0.04 | 22% | 7 Aug → | ||
| 10–13 | 0.02 | 16% | 7 Aug → | ||
| 2–13 | -0.09 | 13% | 7 Aug → | ||
| 8–13 | -0.01 | 20% | 6 Aug → | ||
| 11–13 | 0.00 | 28% | 6 Aug → | ||
| 13–10 | -0.01 | 20% | 6 Aug → | ||
| 13–8 | -0.01 | 23% | 3 Aug → | ||
| 13–6 | -0.01 | 22% | 2 Aug → | ||
| 13–9 | -0.04 | 18% | 2 Aug → | ||
| 11–13 | -0.04 | 17% | 2 Aug → | ||
| 13–4 | 0.05 | 28% | 2 Aug → | ||
| 13–8 | -0.02 | 13% | 2 Aug → | ||
| 13–10 | -0.00 | 20% | 2 Aug → | ||
| 13–6 | 0.02 | 28% | 2 Aug → | ||
| 2–13 | -0.08 | 19% | 2 Aug → | ||
| 5–13 | -0.00 | 18% | 2 Aug → | ||
| 2–13 | -0.11 | 14% | 2 Aug → | ||
| 13–9 | -0.01 | 27% | 2 Aug → | ||
| 7–13 | 0.01 | 15% | 1 Aug → | ||
| 13–3 | 0.06 | 15% | 1 Aug → | ||
| 13–6 | 0.04 | 14% | 1 Aug → | ||
| 7–13 | 0.03 | 22% | 1 Aug → | ||
| 13–8 | 0.01 | 16% | 1 Aug → | ||
| 16–13 | -0.06 | 13% | 1 Aug → | ||
| 4–13 | 0.02 | 18% | 1 Aug → | ||
| 11–13 | -0.03 | 21% | 1 Aug → | ||
| 11–13 | 0.06 | 15% | 31 Jul → | ||
| 13–8 | 0.09 | 22% | 31 Jul → | ||
| 13–2 | 0.13 | 12% | 31 Jul → | ||
| 6–13 | -0.03 | 24% | 30 Jul → | ||
| 6–13 | -0.03 | 21% | 30 Jul → | ||
| 13–11 | 0.04 | 24% | 30 Jul → | ||
| 13–3 | 0.06 | 13% | 30 Jul → | ||
| 7–13 | -0.01 | 20% | 28 Jul → | ||
| 13–7 | 0.01 | 20% | 28 Jul → | ||
| 1–13 | -0.04 | 14% | 28 Jul → | ||
| 10–13 | -0.07 | 11% | 28 Jul → | ||
| 1–9 | -0.06 | 11% | 28 Jul → | ||
| 13–3 | 0.05 | 12% | 28 Jul → | ||
| 13–3 | 0.05 | 17% | 27 Jul → | ||
| 13–11 | 0.02 | 15% | 27 Jul → | ||
| 6–13 | -0.08 | 24% | 27 Jul → | ||
| 7–13 | 0.00 | 18% | 27 Jul → | ||
| 11–7 | 0.03 | 15% | 25 Jul → | ||
| 13–2 | 0.15 | 19% | 25 Jul → | ||
| 8–13 | -0.00 | 11% | 25 Jul → | ||
| 13–0 | 0.10 | 15% | 25 Jul → | ||
| 13–8 | -0.05 | 16% | 24 Jul → | ||
| 13–8 | 0.05 | 17% | 24 Jul → | ||
| 8–13 | 0.01 | 23% | 24 Jul → | ||
| 9–13 | 0.08 | 14% | 15 Jul → | ||
| 12–12 | -0.04 | 21% | 14 Jul → | ||
| 7–13 | 0.01 | 18% | 13 Jul → | ||
| 13–11 | 0.05 | 20% | 12 Jul → | ||
| 0–2 | 0.00 | 0% | 12 Jul → | ||
| 12–12 | 0.08 | 9% | 10 Jul → | ||
| 9–13 | -0.10 | 21% | 25 Dec → | ||
| 11–13 | -0.04 | 16% | 16 Nov → | ||
| 5–2 | 0.02 | 13% | 16 Nov → |
Match data via Leetify.