Glugger — CS2 Stats
76561198354007920[U:1:393742192]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited 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 ropz 89% playstyle similarity
Most alike: aim profile, 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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 41 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.
Reaction time. 594ms 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 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 34 | 24–10 | 71% | 0.03 | |
| A | 26 | 15–11 | 58% | 0.03 | |
| A | 16 | 9–7 | 56% | 0.02 | |
| D | 8 | 2–6 | 25% | 0.01 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis 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.
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.7504 — below the 4 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 39.7591% — 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 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.02 | 16% | 21 Aug → | ||
| 10–13 | -0.03 | 14% | 25 Jul → | ||
| 13–9 | -0.02 | 9% | 25 Jul → | ||
| 13–11 | 0.02 | 20% | 24 Jul → | ||
| 13–6 | 0.05 | 25% | 24 Jul → | ||
| 16–14 | 0.04 | 11% | 24 Jul → | ||
| 4–13 | 0.00 | 10% | 23 Jul → | ||
| 13–6 | 0.02 | 26% | 23 Jul → | ||
| 16–13 | -0.00 | 23% | 18 Jul → | ||
| 6–13 | -0.02 | 24% | 5 Jul → | ||
| 10–13 | 0.00 | 17% | 5 Jul → | ||
| 13–5 | 0.07 | 22% | 14 Jun → | ||
| 13–9 | 0.03 | 24% | 14 Jun → | ||
| 2–13 | -0.04 | 9% | 12 Jun → | ||
| 13–2 | -0.04 | 10% | 6 Jun → | ||
| 13–7 | 0.09 | 21% | 31 May → | ||
| 11–13 | -0.06 | 14% | 31 May → | ||
| 13–11 | 0.00 | 12% | 28 May → | ||
| 13–8 | -0.01 | 25% | 28 May → | ||
| 13–3 | 0.12 | 37% | 25 May → | ||
| 9–13 | 0.03 | 19% | 25 May → | ||
| 15–15 | 0.01 | 23% | 25 May → | ||
| 13–10 | 0.07 | 12% | 23 May → | ||
| 13–10 | 0.13 | 40% | 22 May → | ||
| 7–13 | 0.05 | 17% | 14 May → | ||
| 13–3 | 0.17 | 20% | 14 May → | ||
| 13–3 | 0.13 | 22% | 14 May → | ||
| 10–13 | -0.03 | 18% | 10 May → | ||
| 10–13 | 0.04 | 27% | 10 May → | ||
| 5–13 | 0.07 | 22% | 10 May → | ||
| 13–8 | 0.08 | 13% | 6 May → | ||
| 6–13 | 0.04 | 17% | 3 May → | ||
| 8–13 | 0.07 | 24% | 3 May → | ||
| 13–5 | 0.04 | 23% | 3 May → | ||
| 13–16 | -0.06 | 26% | 2 May → | ||
| 13–5 | -0.04 | 26% | 2 May → | ||
| 7–13 | -0.02 | 20% | 2 May → | ||
| 13–7 | 0.03 | 8% | 2 May → | ||
| 13–9 | 0.10 | 27% | 26 Apr → | ||
| 13–9 | 0.02 | 22% | 26 Apr → | ||
| 8–13 | -0.04 | 20% | 25 Apr → | ||
| 13–7 | 0.00 | 19% | 25 Apr → | ||
| 13–5 | -0.01 | 35% | 25 Apr → | ||
| 9–13 | 0.04 | 24% | 23 Apr → | ||
| 13–7 | 0.03 | 23% | 23 Apr → | ||
| 10–13 | 0.01 | 20% | 19 Apr → | ||
| 13–10 | 0.07 | 15% | 18 Apr → | ||
| 15–15 | 0.01 | 21% | 18 Apr → | ||
| 13–4 | 0.07 | 23% | 18 Apr → | ||
| 13–7 | -0.03 | 25% | 18 Apr → | ||
| 13–7 | 0.06 | 16% | 18 Apr → | ||
| 16–13 | 0.04 | 28% | 14 Apr → | ||
| 10–13 | 0.08 | 19% | 13 Apr → | ||
| 13–11 | 0.09 | 14% | 13 Apr → | ||
| 13–11 | 0.04 | 34% | 13 Apr → | ||
| 13–2 | 0.12 | 13% | 13 Apr → | ||
| 8–13 | -0.02 | 18% | 13 Apr → | ||
| 13–3 | 0.06 | 16% | 13 Apr → | ||
| 7–13 | 0.04 | 14% | 12 Apr → | ||
| 13–10 | 0.07 | 22% | 12 Apr → | ||
| 10–13 | 0.04 | 19% | 12 Apr → | ||
| 13–6 | 0.06 | 12% | 12 Apr → | ||
| 14–16 | 0.02 | 25% | 11 Apr → | ||
| 10–13 | 0.02 | 7% | 11 Apr → | ||
| 13–10 | 0.02 | 22% | 11 Apr → | ||
| 10–13 | 0.03 | 18% | 11 Apr → | ||
| 13–2 | -0.04 | 26% | 10 Apr → | ||
| 13–4 | 0.04 | 18% | 10 Apr → | ||
| 10–13 | 0.03 | 18% | 10 Apr → | ||
| 16–13 | 0.03 | 16% | 10 Apr → | ||
| 13–10 | 0.00 | 28% | 7 Apr → | ||
| 9–13 | -0.02 | 20% | 6 Apr → | ||
| 1–13 | -0.06 | 10% | 5 Apr → | ||
| 3–13 | -0.02 | 13% | 5 Apr → | ||
| 13–10 | 0.00 | 10% | 5 Apr → | ||
| 13–3 | 0.13 | 15% | 5 Apr → | ||
| 9–13 | 0.00 | 16% | 5 Apr → | ||
| 9–13 | 0.04 | 24% | 2 Apr → | ||
| 8–8 | -0.03 | 32% | 2 Apr → | ||
| 16–14 | 0.01 | 27% | 2 Apr → | ||
| 13–10 | -0.06 | 12% | 29 Mar → | ||
| 13–6 | 0.10 | 38% | 22 Mar → | ||
| 13–10 | 0.01 | 23% | 22 Mar → | ||
| 8–13 | 0.02 | 26% | 15 Mar → | ||
| 5–13 | -0.05 | 18% | 15 Mar → | ||
| 7–13 | -0.07 | 8% | 15 Mar → | ||
| 13–7 | -0.02 | 16% | 15 Mar → | ||
| 13–3 | 0.04 | 18% | 8 Mar → | ||
| 9–13 | 0.07 | 30% | 8 Mar → | ||
| 13–7 | 0.05 | 26% | 7 Mar → | ||
| 8–13 | -0.07 | 14% | 7 Mar → | ||
| 13–7 | 0.03 | 34% | 7 Mar → | ||
| 11–13 | 0.12 | 29% | 22 Feb → | ||
| 13–0 | -0.02 | 0% | 22 Feb → | ||
| 13–10 | 0.04 | 15% | 22 Feb → | ||
| 6–13 | 0.04 | 43% | 7 Feb → | ||
| 10–13 | 0.05 | 20% | 6 Feb → | ||
| 10–13 | 0.00 | 35% | 1 Feb → | ||
| 13–3 | 0.07 | 35% | 1 Feb → | ||
| 13–3 | 0.02 | 13% | 31 Jan → |
Match data via Leetify.
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