mueggsen — CS2 Stats
VI76561198255740521[U:1:295474793]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 3,251
- Next: 3,500 ELO at 3,500 — 249 to go
- Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · +0.06 avg rating · +5.4pp headshot accuracy · −66ms reaction
Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).
Last 5 · 10 · 20 matches
Last 5
- 5–0 · 100% win rate
- Avg rating 0.07
- Avg headshot accuracy 25%
- Avg reaction 434ms
Last 10
- 8–2 · 80% win rate
- Avg rating 0.04
- Avg headshot accuracy 24%
- Avg reaction 465ms
Last 20
- 11–9 · 55% win rate
- Avg rating 0.01
- Avg headshot accuracy 21%
- Avg reaction 498ms
Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.
Player DNA
Primary style: Support — Utility contribution stands above the rest of this profile (+1 against its own average).
Sharp aimerStrong CT-side opener
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.
Your pro match
Plays most like Twistzz 94% playstyle similarity
Most alike: opening-duel success, 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 88 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 62% on CT to 43% 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 7.3/10 (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.
Personal bests
Across the last 100 tracked matches.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 ancient | A | 26 | 15–11 | 58% | 0.02 |
 dust2 | B | 21 | 10–11 | 48% | 0.03 |
 inferno | A | 16 | 10–6 | 63% | 0.04 |
 anubis | C | 14 | 6–8 | 43% | 0.00 |
 train | C | 7 | 3–4 | 43% | 0.02 |
 mirage | C | 7 | 3–4 | 43% | 0.02 |
 nuke | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 4 | 2–2 | 50% | 0.01 |
 vertigo | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 482 | 52% | 1.17 | 16.7 |
| Dust2 | 465 | 47% | 1.17 | 17.3 |
| Anubis | 317 | 59% | 1.25 | 17.0 |
| Mirage | 209 | 47% | 1.11 | 17.1 |
| Inferno | 201 | 55% | 1.29 | 17.2 |
| Train | 78 | 59% | 1.20 | 17.2 |
| Overpass | 49 | 47% | 1.13 | 17.5 |
| Vertigo | 40 | 45% | 1.01 | 15.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| anubis | 13–10 | 0.01 | 14% | 18 Oct → | |
| dust2 | 13–1 | 0.12 | 39% | 18 Oct → | |
| inferno | 13–9 | 0.06 | 28% | 16 Oct → | |
| ancient | 13–5 | 0.10 | 20% | 5 Oct → | |
| anubis | 13–3 | 0.05 | 26% | 5 Oct → | |
| dust2 | 10–13 | -0.04 | 16% | 4 Oct → | |
| inferno | 13–9 | -0.02 | 11% | 15 Sept → | |
| inferno | 10–13 | -0.02 | 22% | 15 Sept → | |
| ancient | 13–7 | 0.06 | 30% | 14 Sept → | |
| dust2 | 16–13 | 0.06 | 31% | 9 Sept → | |
| ancient | 7–13 | -0.04 | 16% | 6 Sept → | |
| anubis | 5–13 | -0.07 | 9% | 6 Sept → | |
| inferno | 13–4 | -0.01 | 22% | 6 Sept → | |
| ancient | 5–13 | -0.06 | 15% | 30 Aug → | |
| ancient | 5–13 | -0.06 | 23% | 22 Aug → | |
| anubis | 6–13 | -0.03 | 22% | 8 Aug → | |
| vertigo | 10–13 | -0.03 | 13% | 7 Aug → | |
| dust2 | 13–9 | 0.06 | 27% | 30 Jul → | |
| ancient | 19–16 | -0.01 | 14% | 30 Jul → | |
| dust2 | 9–13 | -0.01 | 22% | 30 Jul → | |
| ancient | 11–13 | -0.02 | 26% | 22 Jun → | |
| dust2 | 10–13 | -0.03 | 17% | 22 Jun → | |
| inferno | 13–5 | 0.08 | 15% | 30 May → | |
| ancient | 13–8 | 0.06 | 36% | 19 May → | |
| anubis | 13–8 | 0.15 | 15% | 16 May → | |
| ancient | 10–13 | -0.02 | 12% | 12 May → | |
| dust2 | 15–15 | 0.05 | 26% | 11 May → | |
| dust2 | 14–16 | 0.12 | 29% | 11 May → | |
| anubis | 12–16 | 0.11 | 22% | 11 May → | |
| inferno | 9–5 | 0.34 | 44% | 28 Apr → | |
| inferno | 14–16 | -0.04 | 14% | 22 Apr → | |
| dust2 | 13–10 | 0.05 | 18% | 22 Apr → | |
| ancient | 14–16 | 0.04 | 25% | 22 Apr → | |
| inferno | 13–6 | 0.11 | 32% | 15 Apr → | |
| dust2 | 8–13 | -0.02 | 28% | 14 Apr → | |
| nuke | 19–17 | 0.05 | 18% | 13 Apr → | |
| dust2 | 13–9 | 0.09 | 25% | 6 Apr → | |
| inferno | 13–10 | 0.07 | 26% | 6 Apr → | |
| inferno | 13–7 | 0.04 | 25% | 3 Apr → | |
| anubis | 9–13 | -0.08 | 21% | 3 Apr → | |
| ancient | 8–13 | 0.00 | 22% | 29 Mar → | |
| ancient | 10–13 | -0.09 | 26% | 29 Mar → | |
| ancient | 13–7 | 0.08 | 21% | 24 Mar → | |
| anubis | 4–13 | -0.07 | 12% | 23 Mar → | |
| inferno | 7–13 | 0.02 | 7% | 17 Mar → | |
| ancient | 5–13 | 0.00 | 21% | 22 Feb → | |
| inferno | 11–13 | 0.03 | 40% | 10 Feb → | |
| nuke | 14–16 | 0.00 | 22% | 8 Feb → | |
| anubis | 5–13 | -0.03 | 18% | 8 Feb → | |
| dust2 | 13–9 | 0.09 | 12% | 8 Feb → | |
| anubis | 13–4 | 0.10 | 32% | 8 Feb → | |
| anubis | 13–3 | -0.02 | 21% | 31 Jan → | |
| dust2 | 10–13 | -0.02 | 38% | 31 Jan → | |
| dust2 | 3–13 | -0.01 | 29% | 27 Jan → | |
| anubis | 13–16 | 0.02 | 23% | 20 Jan → | |
| dust2 | 13–8 | -0.01 | 8% | 13 Jan → | |
| train | 7–13 | 0.00 | 22% | 13 Jan → | |
| train | 16–13 | 0.04 | 24% | 10 Jan → | |
| nuke | 13–11 | 0.03 | 31% | 9 Jan → | |
| train | 7–13 | 0.04 | 26% | 8 Jan → | |
| train | 22–20 | 0.01 | 23% | 5 Jan → | |
| dust2 | 8–13 | -0.01 | 31% | 2 Dec → | |
| dust2 | 13–9 | 0.05 | 14% | 1 Dec → | |
| train | 12–16 | -0.07 | 22% | 24 Nov → | |
| inferno | 13–4 | -0.01 | 22% | 16 Nov → | |
| overpass | 10–13 | 0.02 | 21% | 13 Nov → | |
| inferno | 5–13 | -0.02 | 30% | 11 Nov → | |
| ancient | 13–3 | 0.05 | 17% | 7 Nov → | |
| ancient | 13–7 | 0.08 | 24% | 26 Oct → | |
| mirage | 11–13 | -0.03 | 16% | 26 Oct → | |
| overpass | 16–12 | 0.06 | 20% | 26 Oct → | |
| inferno | 13–7 | 0.06 | 31% | 26 Oct → | |
| ancient | 5–13 | -0.04 | 22% | 28 Sept → | |
| nuke | 6–13 | -0.03 | 28% | 28 Sept → | |
| ancient | 19–17 | -0.01 | 17% | 22 Sept → | |
| ancient | 13–4 | 0.02 | 21% | 15 Sept → | |
| overpass | 11–13 | -0.01 | 15% | 30 Aug → | |
| dust2 | 13–9 | 0.04 | 17% | 25 Aug → | |
| mirage | 10–13 | -0.06 | 17% | 24 Aug → | |
| dust2 | 7–3 | -0.01 | 22% | 20 Aug → | |
| ancient | 13–7 | 0.04 | 20% | 17 Aug → | |
| overpass | 13–9 | -0.02 | 9% | 16 Aug → | |
| ancient | 13–11 | -0.01 | 15% | 16 Aug → | |
| inferno | 9–13 | 0.03 | 30% | 16 Aug → | |
| mirage | 11–13 | 0.05 | 20% | 15 Aug → | |
| mirage | 16–14 | 0.04 | 18% | 15 Aug → | |
| train | 13–5 | 0.09 | 11% | 10 Aug → | |
| train | 9–13 | 0.03 | 20% | 10 Aug → | |
| ancient | 13–5 | 0.13 | 28% | 8 Aug → | |
| mirage | 13–11 | 0.06 | 14% | 8 Aug → | |
| dust2 | 13–16 | 0.03 | 7% | 4 Aug → | |
| dust2 | 13–16 | 0.03 | 24% | 3 Aug → | |
| mirage | 13–2 | 0.08 | 23% | 3 Aug → | |
| ancient | 11–13 | -0.03 | 17% | 13 Jul → | |
| mirage | 7–13 | -0.00 | 12% | 11 Jul → | |
| anubis | 13–10 | -0.00 | 20% | 11 Jul → | |
| ancient | 13–10 | 0.08 | 23% | 21 Jun → | |
| ancient | 13–9 | 0.08 | 17% | 15 Jun → | |
| ancient | 13–7 | 0.02 | 21% | 15 Jun → | |
| anubis | 6–13 | -0.08 | 39% | 31 May → |
Match data via Leetify.
Recent teammates
Milestones
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