strugin — CS2 Stats
76561199094509937[U:1:1134244209]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 80% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; 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.
T-side openings. Opening success drops from 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 632ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 66 | 25–41 | 38% | 0.01 | |
| D | 12 | 3–9 | 25% | -0.03 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 1 | 1–0 | 100% | 0.12 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 4 | 50% | 0.65 | 9.5 |
| Anubis | 1 | 100% | 0.92 | 11.0 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3629 — below the 0.5 mark we flag
- 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 31.325% — 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 | |
|---|---|---|---|---|---|
| 3–8 | -0.14 | 13% | 5 Aug → | ||
| 13–9 | -0.00 | 28% | 28 Jul → | ||
| 13–4 | 0.06 | 13% | 28 Jun → | ||
| 13–6 | 0.01 | 14% | 28 Jun → | ||
| 13–3 | 0.18 | 27% | 28 Jun → | ||
| 13–9 | -0.01 | 9% | 18 Jun → | ||
| 13–3 | 0.12 | 25% | 18 Jun → | ||
| 6–9 | -0.06 | 7% | 14 Jun → | ||
| 2–9 | -0.10 | 20% | 14 Jun → | ||
| 7–8 | 0.04 | 29% | 11 Jun → | ||
| 12–12 | 0.06 | 36% | 11 Jun → | ||
| 9–6 | -0.03 | 10% | 1 Jun → | ||
| 9–3 | 0.04 | 10% | 31 May → | ||
| 7–9 | -0.03 | 10% | 31 May → | ||
| 3–9 | 0.05 | 33% | 31 May → | ||
| 0–9 | -0.22 | 17% | 29 May → | ||
| 9–3 | 0.18 | 19% | 29 May → | ||
| 3–9 | -0.14 | 12% | 28 May → | ||
| 8–8 | -0.11 | 15% | 28 May → | ||
| 8–8 | 0.07 | 6% | 28 May → | ||
| 13–0 | 0.07 | 10% | 22 May → | ||
| 8–13 | 0.05 | 18% | 22 May → | ||
| 9–3 | 0.04 | 14% | 20 May → | ||
| 4–9 | -0.05 | 21% | 19 May → | ||
| 8–8 | 0.06 | 18% | 19 May → | ||
| 3–9 | -0.05 | 17% | 6 May → | ||
| 13–6 | 0.06 | 15% | 6 May → | ||
| 6–9 | -0.00 | 19% | 6 May → | ||
| 13–11 | 0.08 | 10% | 6 May → | ||
| 8–8 | -0.04 | 21% | 5 May → | ||
| 11–13 | 0.08 | 16% | 4 May → | ||
| 4–9 | 0.11 | 13% | 3 May → | ||
| 13–1 | 0.11 | 12% | 3 May → | ||
| 6–9 | -0.09 | 13% | 3 May → | ||
| 9–3 | 0.20 | 23% | 3 May → | ||
| 9–2 | 0.07 | 21% | 3 May → | ||
| 8–8 | 0.07 | 23% | 2 May → | ||
| 12–12 | 0.08 | 17% | 2 May → | ||
| 4–9 | -0.04 | 4% | 2 May → | ||
| 5–9 | -0.06 | 24% | 1 May → | ||
| 13–11 | 0.10 | 13% | 1 May → | ||
| 9–5 | 0.02 | 23% | 1 May → | ||
| 5–9 | -0.06 | 26% | 1 May → | ||
| 8–8 | 0.05 | 17% | 1 May → | ||
| 4–9 | -0.03 | 9% | 30 Apr → | ||
| 12–12 | 0.09 | 17% | 30 Apr → | ||
| 9–13 | -0.02 | 30% | 29 Apr → | ||
| 9–7 | -0.00 | 21% | 29 Apr → | ||
| 3–9 | -0.10 | 21% | 29 Apr → | ||
| 7–9 | -0.10 | 6% | 29 Apr → | ||
| 9–2 | 0.02 | 29% | 28 Apr → | ||
| 3–9 | -0.09 | 11% | 28 Apr → | ||
| 7–9 | -0.01 | 21% | 28 Apr → | ||
| 9–7 | 0.07 | 21% | 28 Apr → | ||
| 8–8 | 0.18 | 11% | 28 Apr → | ||
| 9–4 | 0.07 | 17% | 28 Apr → | ||
| 0–5 | -0.14 | 9% | 28 Apr → | ||
| 9–7 | 0.09 | 17% | 27 Apr → | ||
| 7–9 | -0.08 | 17% | 27 Apr → | ||
| 2–9 | -0.16 | 4% | 27 Apr → | ||
| 8–8 | -0.09 | 14% | 27 Apr → | ||
| 6–9 | -0.01 | 12% | 26 Apr → | ||
| 8–8 | -0.03 | 24% | 26 Apr → | ||
| 0–3 | -0.11 | 0% | 25 Apr → | ||
| 13–9 | -0.01 | 11% | 25 Apr → | ||
| 8–8 | -0.09 | 10% | 25 Apr → | ||
| 9–6 | -0.04 | 15% | 25 Apr → | ||
| 8–8 | -0.04 | 5% | 25 Apr → | ||
| 5–9 | -0.00 | 9% | 25 Apr → | ||
| 2–9 | -0.09 | 6% | 24 Apr → | ||
| 9–6 | 0.11 | 15% | 24 Apr → | ||
| 9–7 | 0.05 | 15% | 24 Apr → | ||
| 8–8 | -0.04 | 16% | 24 Apr → | ||
| 5–9 | -0.01 | 18% | 24 Apr → | ||
| 9–1 | 0.10 | 13% | 24 Apr → | ||
| 8–8 | -0.16 | 10% | 24 Apr → | ||
| 8–8 | -0.04 | 20% | 24 Apr → | ||
| 4–11 | 0.02 | 10% | 23 Apr → | ||
| 4–9 | -0.08 | 6% | 23 Apr → | ||
| 3–9 | -0.14 | 29% | 23 Apr → | ||
| 9–3 | 0.27 | 30% | 23 Apr → | ||
| 9–6 | 0.01 | 22% | 22 Apr → | ||
| 10–13 | 0.06 | 8% | 22 Apr → | ||
| 6–9 | -0.21 | 0% | 21 Apr → | ||
| 3–9 | 0.02 | 23% | 21 Apr → | ||
| 6–9 | -0.07 | 10% | 21 Apr → | ||
| 9–6 | 0.08 | 27% | 21 Apr → | ||
| 8–8 | 0.07 | 21% | 21 Apr → | ||
| 9–5 | 0.16 | 19% | 21 Apr → | ||
| 13–4 | 0.04 | 18% | 21 Apr → | ||
| 8–8 | 0.01 | 15% | 21 Apr → | ||
| 9–7 | 0.13 | 28% | 21 Apr → | ||
| 9–1 | 0.02 | 8% | 18 Apr → | ||
| 9–6 | -0.04 | 9% | 18 Apr → | ||
| 9–0 | 0.19 | 22% | 18 Apr → | ||
| 8–8 | 0.06 | 16% | 18 Apr → | ||
| 9–5 | 0.00 | 23% | 18 Apr → | ||
| 9–7 | 0.06 | 18% | 18 Apr → | ||
| 4–9 | -0.05 | 12% | 18 Apr → | ||
| 3–9 | -0.06 | 13% | 12 Apr → |
Match data via Leetify.