Duuggen — CS2 Stats
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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
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 b1t 94% playstyle similarity
Most alike: aim profile, positioning 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
Strengths
Aim. Aim score of 95 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 37 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.
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 7.5/10 (Strong), 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 | 28 | 13–15 | 46% | 0.00 | |
| S | 18 | 14–4 | 78% | 0.04 | |
| S | 17 | 12–5 | 71% | 0.04 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| — | 3 | 1–2 | 33% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 3 | 3–0 | 100% | 0.02 | |
| grail | — | 1 | 1–0 | 100% | 0.04 |
| — | 1 | 1–0 | 100% | 0.03 | |
| palais | — | 1 | 0–1 | 0% | 0.12 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (46% over 28). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 422 | 55% | 1.17 | 16.3 |
| Ancient | 402 | 53% | 1.20 | 16.4 |
| Anubis | 376 | 56% | 1.24 | 16.4 |
| Nuke | 139 | 53% | 1.12 | 14.8 |
| Overpass | 70 | 49% | 1.45 | 16.5 |
| Inferno | 65 | 52% | 1.15 | 13.7 |
| Train | 19 | 53% | 1.17 | 15.1 |
| Vertigo | 19 | 53% | 1.19 | 15.9 |
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 36.8076% — 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.
46% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 19% | 26 Aug → | ||
| 13–5 | 0.00 | 21% | 9 Jul → | ||
| 13–4 | 0.01 | 28% | 9 Jul → | ||
| 13–10 | 0.00 | 28% | 9 Jul → | ||
| 13–6 | 0.07 | 26% | 9 Jul → | ||
| 11–13 | 0.02 | 27% | 3 Jul → | ||
| 7–13 | 0.04 | 29% | 3 Jul → | ||
| 9–13 | 0.00 | 42% | 2 Jul → | ||
| 12–12 | 0.05 | 27% | 2 Jul → | ||
| 13–9 | 0.04 | 25% | 1 Jul → | ||
| 13–6 | 0.01 | 32% | 1 Jul → | ||
| 20–22 | -0.01 | 38% | 23 Jun → | ||
| 13–2 | 0.19 | 35% | 31 May → | ||
| 8–13 | -0.06 | 26% | 24 May → | ||
| 13–3 | 0.06 | 24% | 23 May → | ||
| 4–13 | -0.03 | 22% | 16 Mar → | ||
| 13–6 | 0.12 | 20% | 6 Mar → | ||
| 11–13 | -0.05 | 27% | 18 Feb → | ||
| 19–17 | -0.03 | 23% | 15 Feb → | ||
| 13–5 | 0.02 | 18% | 2 Feb → | ||
| 2–13 | -0.04 | 24% | 2 Feb → | ||
| 8–13 | 0.03 | 25% | 29 Jan → | ||
| 9–13 | -0.02 | 25% | 19 Jan → | ||
| 13–6 | 0.03 | 14% | 17 Jan → | ||
| 16–13 | 0.04 | 25% | 13 Sept → | ||
| 5–13 | -0.01 | 24% | 13 Sept → | ||
| 13–8 | -0.00 | 18% | 3 Aug → | ||
| 13–11 | 0.02 | 23% | 19 Jul → | ||
| 19–16 | 0.03 | 20% | 30 May → | ||
| 12–16 | 0.03 | 32% | 26 May → | ||
| 13–8 | 0.01 | 16% | 23 May → | ||
| 13–9 | 0.05 | 33% | 22 May → | ||
| 8–13 | -0.05 | 23% | 19 May → | ||
| 11–13 | 0.00 | 31% | 19 May → | ||
| 13–6 | -0.01 | 23% | 16 May → | ||
| grail | 13–11 | 0.04 | 26% | 12 May → | |
| 10–13 | -0.00 | 16% | 17 Apr → | ||
| 13–10 | 0.02 | 19% | 16 Apr → | ||
| 13–6 | 0.01 | 26% | 10 Apr → | ||
| 13–10 | 0.07 | 24% | 10 Apr → | ||
| 6–13 | -0.01 | 28% | 10 Apr → | ||
| 13–8 | -0.03 | 29% | 10 Apr → | ||
| 6–13 | -0.08 | 22% | 9 Apr → | ||
| 2–13 | -0.07 | 32% | 9 Apr → | ||
| 11–13 | -0.01 | 25% | 9 Apr → | ||
| 7–13 | -0.03 | 21% | 9 Apr → | ||
| 13–6 | 0.03 | 29% | 2 Apr → | ||
| 5–13 | 0.00 | 32% | 2 Apr → | ||
| 13–16 | 0.05 | 31% | 1 Apr → | ||
| 4–13 | -0.04 | 18% | 1 Apr → | ||
| 16–14 | 0.09 | 33% | 20 Mar → | ||
| 13–9 | -0.00 | 18% | 20 Mar → | ||
| 6–13 | -0.02 | 37% | 20 Mar → | ||
| 8–13 | -0.09 | 24% | 8 Mar → | ||
| 13–11 | -0.02 | 25% | 8 Mar → | ||
| 13–2 | 0.07 | 36% | 8 Mar → | ||
| 13–4 | 0.03 | 24% | 28 Feb → | ||
| 6–13 | 0.04 | 20% | 28 Feb → | ||
| 13–2 | -0.03 | 22% | 27 Feb → | ||
| 13–6 | 0.10 | 26% | 27 Feb → | ||
| 8–13 | -0.07 | 26% | 27 Feb → | ||
| 13–11 | 0.03 | 34% | 24 Feb → | ||
| 13–4 | 0.04 | 28% | 24 Feb → | ||
| 13–9 | -0.02 | 28% | 24 Feb → | ||
| 13–9 | 0.05 | 20% | 24 Feb → | ||
| 16–13 | 0.02 | 21% | 24 Feb → | ||
| 13–8 | -0.00 | 26% | 24 Feb → | ||
| 9–13 | -0.06 | 22% | 24 Feb → | ||
| 16–13 | 0.01 | 18% | 20 Feb → | ||
| 13–9 | -0.01 | 26% | 20 Feb → | ||
| 13–11 | 0.07 | 34% | 20 Feb → | ||
| 7–13 | -0.03 | 22% | 28 Jan → | ||
| 11–13 | -0.06 | 16% | 9 Jan → | ||
| 11–13 | 0.01 | 26% | 8 Jan → | ||
| 14–16 | -0.02 | 17% | 6 Jan → | ||
| 9–13 | -0.02 | 18% | 5 Jan → | ||
| 9–13 | 0.03 | 35% | 4 Jan → | ||
| 13–7 | 0.09 | 29% | 4 Jan → | ||
| 13–8 | 0.02 | 24% | 4 Jan → | ||
| 13–10 | -0.00 | 23% | 4 Jan → | ||
| 13–11 | -0.00 | 22% | 4 Jan → | ||
| 9–13 | -0.04 | 21% | 30 Dec → | ||
| 13–11 | 0.01 | 27% | 27 Dec → | ||
| 13–9 | 0.04 | 23% | 21 Dec → | ||
| 16–12 | 0.07 | 23% | 16 Dec → | ||
| 8–13 | -0.02 | 27% | 15 Dec → | ||
| 11–13 | 0.01 | 24% | 2 Dec → | ||
| palais | 8–8 | 0.12 | 44% | 25 Nov → | |
| 13–8 | 0.04 | 29% | 18 Nov → | ||
| 13–11 | 0.02 | 26% | 15 Nov → | ||
| 13–4 | 0.07 | 32% | 15 Nov → | ||
| 10–13 | -0.03 | 19% | 14 Nov → | ||
| 13–10 | 0.04 | 32% | 13 Nov → | ||
| 13–11 | 0.07 | 35% | 7 Nov → | ||
| 13–4 | 0.14 | 23% | 7 Nov → | ||
| 13–10 | 0.01 | 30% | 2 Nov → | ||
| 13–5 | 0.06 | 35% | 29 Oct → | ||
| 13–11 | 0.13 | 32% | 29 Oct → | ||
| 13–5 | 0.30 | 34% | 29 Oct → | ||
| 13–7 | 0.20 | 28% | 28 Oct → |
Match data via Leetify.