Shug — CS2 Stats
76561199144907887[U:1:1184642159]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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.
Reaction time. 567ms 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 |
|---|---|---|---|---|---|
| B | 38 | 18–20 | 47% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.03 | |
| D | 7 | 2–5 | 29% | 0.00 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.01 | |
| palacio | D | 6 | 2–4 | 33% | 0.02 |
| C | 5 | 2–3 | 40% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| office | — | 3 | 0–3 | 0% | -0.04 |
| golden | — | 3 | 2–1 | 67% | 0.01 |
| — | 2 | 2–0 | 100% | 0.04 | |
| agency | — | 1 | 0–1 | 0% | 0.06 |
| grail | — | 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 148 | 47% | 1.02 | 14.4 |
| Inferno | 84 | 57% | 1.17 | 15.3 |
| Vertigo | 70 | 51% | 0.99 | 14.9 |
| Nuke | 56 | 59% | 1.10 | 16.8 |
| Anubis | 48 | 56% | 1.13 | 17.1 |
| Ancient | 38 | 55% | 1.03 | 14.8 |
| Dust2 | 31 | 48% | 0.98 | 13.4 |
| Overpass | 26 | 42% | 0.77 | 12.3 |
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 37.9595% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.02 | 24% | 1 Aug → | ||
| 13–10 | 0.01 | 31% | 1 Aug → | ||
| 5–13 | -0.11 | 11% | 1 Aug → | ||
| 13–8 | -0.00 | 21% | 1 Aug → | ||
| 9–13 | -0.07 | 17% | 1 Aug → | ||
| 13–9 | -0.03 | 13% | 1 Aug → | ||
| 13–5 | 0.04 | 24% | 1 Aug → | ||
| 14–16 | 0.01 | 18% | 25 Jul → | ||
| 7–0 | 0.02 | 22% | 25 Jul → | ||
| 13–9 | 0.01 | 28% | 25 Jul → | ||
| 5–10 | -0.04 | 29% | 25 Jul → | ||
| 11–13 | 0.02 | 31% | 25 Jul → | ||
| 13–11 | -0.04 | 22% | 25 Jul → | ||
| 13–8 | 0.05 | 30% | 25 Jul → | ||
| 13–2 | 0.05 | 26% | 25 Jul → | ||
| 11–13 | -0.03 | 15% | 25 Jul → | ||
| 13–11 | 0.07 | 13% | 20 Jul → | ||
| 7–13 | -0.06 | 18% | 20 Jul → | ||
| 9–13 | 0.00 | 18% | 19 Jul → | ||
| 7–10 | 0.03 | 15% | 4 May → | ||
| 6–5 | -0.12 | 14% | 3 May → | ||
| 5–13 | -0.04 | 14% | 3 May → | ||
| 13–9 | 0.05 | 18% | 1 May → | ||
| 9–13 | 0.02 | 15% | 28 Apr → | ||
| 7–13 | 0.05 | 26% | 28 Apr → | ||
| 13–8 | -0.05 | 36% | 29 Mar → | ||
| 13–8 | 0.03 | 24% | 29 Mar → | ||
| 12–12 | 0.02 | 23% | 29 Mar → | ||
| 4–13 | -0.00 | 17% | 28 Mar → | ||
| 13–3 | 0.11 | 30% | 28 Mar → | ||
| 13–2 | 0.08 | 30% | 28 Mar → | ||
| 5–13 | 0.03 | 28% | 28 Mar → | ||
| 12–12 | -0.03 | 9% | 28 Mar → | ||
| 13–6 | -0.03 | 25% | 27 Mar → | ||
| 13–7 | -0.02 | 21% | 27 Mar → | ||
| 13–2 | 0.06 | 29% | 27 Mar → | ||
| 13–11 | 0.04 | 23% | 27 Mar → | ||
| 13–5 | 0.07 | 17% | 26 Mar → | ||
| 9–13 | -0.00 | 23% | 26 Mar → | ||
| 13–11 | 0.03 | 19% | 15 Mar → | ||
| 13–5 | 0.02 | 24% | 15 Mar → | ||
| 13–4 | 0.05 | 29% | 26 Oct → | ||
| 15–15 | 0.02 | 26% | 26 Oct → | ||
| 13–8 | 0.02 | 23% | 26 Oct → | ||
| 11–3 | 0.07 | 31% | 25 Oct → | ||
| palacio | 13–8 | 0.03 | 30% | 23 Oct → | |
| office | 12–12 | 0.04 | 49% | 23 Oct → | |
| 13–11 | 0.01 | 14% | 23 Oct → | ||
| 13–6 | 0.03 | 22% | 19 Oct → | ||
| 10–13 | 0.02 | 14% | 19 Oct → | ||
| 13–8 | 0.10 | 18% | 18 Oct → | ||
| 9–13 | -0.03 | 16% | 14 Oct → | ||
| palacio | 8–13 | 0.07 | 32% | 13 Oct → | |
| 13–6 | 0.04 | 31% | 13 Oct → | ||
| palacio | 7–13 | 0.04 | 28% | 13 Oct → | |
| 13–4 | 0.03 | 24% | 13 Oct → | ||
| 11–13 | -0.00 | 9% | 13 Oct → | ||
| 9–13 | 0.03 | 26% | 13 Oct → | ||
| 11–13 | 0.03 | 27% | 13 Oct → | ||
| 13–1 | 0.16 | 24% | 9 Oct → | ||
| agency | 9–13 | 0.06 | 29% | 8 Oct → | |
| palacio | 8–13 | -0.01 | 21% | 8 Oct → | |
| 13–10 | 0.08 | 25% | 8 Oct → | ||
| 13–3 | 0.02 | 28% | 7 Oct → | ||
| palacio | 11–13 | -0.03 | 17% | 7 Oct → | |
| golden | 9–13 | -0.02 | 19% | 7 Oct → | |
| 13–9 | 0.04 | 24% | 7 Oct → | ||
| 13–4 | -0.03 | 27% | 7 Oct → | ||
| 7–13 | -0.04 | 27% | 7 Oct → | ||
| 11–13 | 0.09 | 19% | 7 Oct → | ||
| 6–13 | -0.07 | 35% | 7 Oct → | ||
| 1–8 | -0.03 | 13% | 4 Oct → | ||
| 3–13 | 0.02 | 4% | 3 Oct → | ||
| 13–6 | 0.13 | 25% | 3 Oct → | ||
| golden | 13–3 | -0.04 | 21% | 2 Oct → | |
| 13–8 | 0.08 | 27% | 2 Oct → | ||
| palacio | 7–1 | 0.06 | 25% | 2 Oct → | |
| golden | 13–8 | 0.09 | 26% | 2 Oct → | |
| 13–7 | -0.04 | 14% | 30 Sept → | ||
| 13–4 | 0.12 | 26% | 29 Sept → | ||
| 12–12 | 0.04 | 43% | 29 Sept → | ||
| 13–11 | 0.03 | 32% | 28 Sept → | ||
| 11–13 | 0.05 | 23% | 28 Sept → | ||
| 10–13 | -0.02 | 20% | 27 Sept → | ||
| 2–13 | 0.03 | 30% | 27 Sept → | ||
| 13–10 | 0.02 | 21% | 27 Sept → | ||
| 13–7 | 0.01 | 18% | 22 Sept → | ||
| office | 8–13 | -0.11 | 25% | 14 Sept → | |
| 5–13 | -0.02 | 24% | 13 Sept → | ||
| 8–13 | 0.04 | 27% | 11 Sept → | ||
| 13–2 | 0.02 | 25% | 8 Sept → | ||
| 3–13 | 0.01 | 21% | 8 Sept → | ||
| 13–10 | -0.01 | 18% | 8 Sept → | ||
| 2–13 | -0.10 | 17% | 7 Sept → | ||
| 13–7 | 0.04 | 19% | 7 Sept → | ||
| 12–12 | -0.01 | 33% | 7 Sept → | ||
| office | 8–13 | -0.04 | 11% | 7 Sept → | |
| 11–13 | 0.01 | 13% | 6 Sept → | ||
| 13–8 | 0.10 | 29% | 1 Sept → | ||
| grail | 13–10 | -0.03 | 26% | 1 Sept → |
Match data via Leetify.