skiezz | enemy mute — CS2 Stats
76561198194247407[U:1:233981679]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.08 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 92% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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 86 — 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 599ms 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 7.8/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 mirage | S | 23 | 17–6 | 74% | 0.07 |
 dust2 | S | 18 | 14–4 | 78% | 0.06 |
 nuke | B | 17 | 8–9 | 47% | 0.07 |
| office | D | 9 | 3–6 | 33% | 0.07 |
 overpass | A | 8 | 5–3 | 63% | 0.07 |
 anubis | S | 8 | 6–2 | 75% | 0.05 |
 vertigo | — | 4 | 3–1 | 75% | 0.11 |
 inferno | — | 4 | 3–1 | 75% | 0.02 |
 train | — | 4 | 0–4 | 0% | 0.09 |
 cache | — | 2 | 1–1 | 50% | -0.01 |
| italy | — | 1 | 1–0 | 100% | 0.13 |
 ancient | — | 1 | 1–0 | 100% | 0.12 |
| alpine | — | 1 | 1–0 | 100% | 0.28 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 40% | 1.00 | 16.1 |
| Dust2 | 8 | 38% | 1.04 | 16.1 |
| Overpass | 4 | 75% | 1.50 | 18.3 |
| Inferno | 4 | 25% | 0.88 | 14.5 |
| Nuke | 2 | 100% | 1.36 | 24.0 |
| Ancient | 2 | 50% | 1.24 | 16.5 |
| Train | 1 | 100% | 1.21 | 17.0 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 13–11 | 0.03 | 21% | 9 May → | |
| nuke | 11–13 | 0.04 | 24% | 9 May → | |
| cache | 2–13 | -0.05 | 18% | 9 May → | |
| mirage | 8–13 | -0.06 | 16% | 18 Apr → | |
| office | 10–13 | -0.06 | 14% | 17 Apr → | |
| vertigo | 3–13 | 0.02 | 18% | 9 Apr → | |
| mirage | 13–10 | 0.16 | 30% | 30 Mar → | |
| dust2 | 13–10 | 0.03 | 33% | 30 Mar → | |
| overpass | 12–12 | 0.09 | 39% | 30 Mar → | |
| inferno | 9–6 | -0.12 | 0% | 21 Mar → | |
| mirage | 13–6 | 0.11 | 23% | 21 Mar → | |
| mirage | 13–10 | 0.10 | 27% | 21 Mar → | |
| nuke | 2–13 | -0.02 | 20% | 21 Mar → | |
| office | 13–9 | 0.08 | 15% | 21 Mar → | |
| office | 12–12 | 0.13 | 13% | 21 Mar → | |
| office | 13–6 | 0.17 | 15% | 21 Mar → | |
| dust2 | 13–11 | 0.16 | 26% | 21 Mar → | |
| dust2 | 13–5 | 0.04 | 17% | 21 Mar → | |
| nuke | 9–13 | 0.05 | 29% | 21 Mar → | |
| mirage | 13–6 | 0.09 | 14% | 21 Mar → | |
| mirage | 13–7 | 0.10 | 29% | 21 Mar → | |
| mirage | 13–10 | 0.03 | 20% | 20 Mar → | |
| dust2 | 13–6 | 0.04 | 41% | 20 Mar → | |
| dust2 | 13–1 | 0.02 | 40% | 19 Mar → | |
| dust2 | 9–13 | 0.10 | 40% | 19 Mar → | |
| dust2 | 13–10 | -0.04 | 18% | 19 Mar → | |
| nuke | 13–6 | 0.08 | 11% | 18 Mar → | |
| dust2 | 5–13 | 0.04 | 24% | 18 Mar → | |
| mirage | 13–9 | 0.17 | 24% | 18 Mar → | |
| office | 6–13 | 0.08 | 13% | 18 Mar → | |
| inferno | 7–13 | 0.02 | 61% | 18 Mar → | |
| office | 12–12 | 0.16 | 22% | 18 Mar → | |
| office | 6–13 | 0.04 | 36% | 18 Mar → | |
| overpass | 10–13 | -0.00 | 17% | 14 Mar → | |
| anubis | 11–13 | 0.06 | 25% | 13 Mar → | |
| overpass | 13–7 | 0.02 | 41% | 13 Mar → | |
| overpass | 13–9 | 0.01 | 35% | 13 Mar → | |
| vertigo | 13–6 | 0.07 | 33% | 10 Mar → | |
| italy | 13–8 | 0.13 | 25% | 10 Mar → | |
| mirage | 13–11 | 0.08 | 35% | 10 Mar → | |
| dust2 | 13–11 | 0.10 | 26% | 10 Mar → | |
| ancient | 13–9 | 0.12 | 24% | 10 Mar → | |
| nuke | 13–11 | 0.09 | 31% | 10 Mar → | |
| overpass | 12–12 | 0.12 | 29% | 10 Mar → | |
| dust2 | 13–2 | 0.15 | 21% | 10 Mar → | |
| anubis | 13–8 | 0.08 | 30% | 10 Mar → | |
| train | 8–13 | 0.03 | 33% | 10 Mar → | |
| dust2 | 13–5 | 0.05 | 21% | 9 Mar → | |
| nuke | 13–9 | 0.08 | 34% | 9 Mar → | |
| mirage | 15–15 | 0.08 | 35% | 9 Mar → | |
| dust2 | 13–7 | 0.06 | 28% | 9 Mar → | |
| mirage | 13–11 | 0.01 | 28% | 9 Mar → | |
| nuke | 6–13 | -0.00 | 20% | 6 Mar → | |
| mirage | 13–7 | 0.09 | 16% | 6 Mar → | |
| nuke | 11–13 | 0.04 | 27% | 6 Mar → | |
| mirage | 13–7 | 0.07 | 13% | 6 Mar → | |
| anubis | 13–9 | 0.04 | 16% | 6 Mar → | |
| dust2 | 13–11 | 0.03 | 24% | 6 Mar → | |
| overpass | 13–10 | 0.19 | 37% | 6 Mar → | |
| dust2 | 13–11 | 0.07 | 31% | 6 Mar → | |
| mirage | 8–13 | -0.00 | 21% | 6 Mar → | |
| mirage | 8–13 | 0.02 | 21% | 6 Mar → | |
| nuke | 13–9 | 0.07 | 27% | 5 Mar → | |
| anubis | 13–10 | 0.11 | 31% | 5 Mar → | |
| dust2 | 13–8 | 0.03 | 31% | 5 Mar → | |
| vertigo | 13–7 | 0.09 | 19% | 5 Mar → | |
| mirage | 13–9 | 0.01 | 33% | 5 Mar → | |
| mirage | 13–3 | 0.04 | 19% | 2 Feb → | |
| dust2 | 13–11 | -0.01 | 20% | 2 Feb → | |
| inferno | 13–1 | 0.09 | 18% | 2 Feb → | |
| anubis | 13–9 | 0.06 | 10% | 2 Feb → | |
| anubis | 13–8 | -0.01 | 9% | 2 Feb → | |
| mirage | 13–7 | 0.10 | 28% | 2 Feb → | |
| nuke | 11–13 | 0.12 | 32% | 2 Feb → | |
| nuke | 5–3 | 0.05 | 17% | 2 Feb → | |
| office | 13–9 | 0.06 | 21% | 30 Jan → | |
| nuke | 7–13 | 0.06 | 25% | 30 Jan → | |
| office | 12–12 | -0.02 | 0% | 30 Jan → | |
| nuke | 11–13 | 0.14 | 40% | 29 Jan → | |
| mirage | 4–13 | 0.13 | 31% | 29 Jan → | |
| train | 2–13 | 0.10 | 26% | 29 Jan → | |
| anubis | 4–13 | -0.04 | 30% | 29 Jan → | |
| nuke | 11–13 | 0.07 | 36% | 29 Jan → | |
| overpass | 13–6 | 0.07 | 18% | 29 Jan → | |
| mirage | 13–5 | 0.12 | 24% | 29 Jan → | |
| nuke | 13–2 | 0.15 | 40% | 29 Jan → | |
| train | 6–13 | 0.09 | 28% | 29 Jan → | |
| alpine | 13–8 | 0.28 | 31% | 29 Jan → | |
| vertigo | 13–11 | 0.26 | 30% | 29 Jan → | |
| nuke | 13–11 | 0.19 | 23% | 29 Jan → | |
| anubis | 13–7 | 0.09 | 24% | 29 Jan → | |
| dust2 | 9–13 | 0.02 | 18% | 29 Jan → | |
| nuke | 13–9 | 0.04 | 19% | 28 Jan → | |
| mirage | 13–8 | 0.19 | 26% | 28 Jan → | |
| overpass | 13–5 | 0.04 | 23% | 28 Jan → | |
| train | 7–13 | 0.14 | 25% | 28 Jan → | |
| inferno | 13–7 | 0.07 | 20% | 28 Jan → | |
| dust2 | 5–13 | 0.09 | 27% | 27 Jan → | |
| mirage | 10–13 | 0.02 | 17% | 27 Jan → | |
| mirage | 13–10 | 0.03 | 24% | 27 Jan → |
Match data via Leetify.