Keη× — CS2 Stats
76561198804505041[U:1:844239313]
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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: Passive Rifler — Aim-led profile without a single dominant tendency.
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 85% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: lower opening-fight frequency; lower aim 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
Areas to improve
Reaction time. 622ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 43 | 25–18 | 58% | 0.01 | |
| B | 22 | 11–11 | 50% | 0.02 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| D | 11 | 2–9 | 18% | -0.01 | |
| — | 3 | 2–1 | 67% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.05 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 1 | 1–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 77 | 44% | 0.99 | 15.0 |
| Anubis | 54 | 52% | 1.08 | 16.0 |
| Inferno | 52 | 40% | 1.14 | 14.5 |
| Dust2 | 49 | 49% | 1.15 | 18.5 |
| Ancient | 33 | 61% | 1.09 | 16.2 |
| Nuke | 17 | 47% | 1.16 | 18.8 |
| Vertigo | 12 | 67% | 1.22 | 18.2 |
| Train | 3 | 67% | 1.09 | 16.7 |
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 24.3134% — 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.
18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | 0.07 | 26% | 26 Aug → | ||
| 6–13 | -0.06 | 41% | 26 Aug → | ||
| 13–7 | -0.03 | 20% | 23 Aug → | ||
| 3–13 | -0.05 | 30% | 23 Aug → | ||
| 7–13 | 0.01 | 39% | 23 Aug → | ||
| 15–15 | 0.02 | 16% | 23 Aug → | ||
| 11–13 | 0.05 | 20% | 23 Aug → | ||
| 13–11 | -0.04 | 19% | 23 Aug → | ||
| 13–7 | 0.02 | 29% | 22 Aug → | ||
| 6–13 | -0.04 | 26% | 22 Aug → | ||
| 13–4 | 0.08 | 35% | 22 Aug → | ||
| 7–1 | -0.06 | 33% | 16 Aug → | ||
| 4–13 | 0.02 | 36% | 8 Aug → | ||
| 10–13 | 0.00 | 22% | 8 Aug → | ||
| 5–13 | -0.05 | 33% | 8 Aug → | ||
| 13–5 | 0.03 | 22% | 8 Aug → | ||
| 13–10 | -0.00 | 30% | 25 Jul → | ||
| 13–6 | 0.01 | 19% | 25 Jul → | ||
| 13–10 | -0.04 | 18% | 25 Jul → | ||
| 10–13 | 0.06 | 38% | 11 Jul → | ||
| 13–6 | -0.08 | 38% | 11 Jul → | ||
| 4–13 | -0.08 | 23% | 11 Jul → | ||
| 13–10 | -0.03 | 27% | 10 Jul → | ||
| 13–11 | 0.04 | 23% | 8 Jul → | ||
| 13–9 | 0.06 | 24% | 8 Jul → | ||
| 13–8 | 0.06 | 22% | 5 Jul → | ||
| 13–9 | 0.07 | 27% | 29 Jun → | ||
| 8–13 | -0.07 | 28% | 28 Jun → | ||
| 16–14 | -0.05 | 18% | 28 Jun → | ||
| 13–4 | 0.01 | 15% | 26 Jun → | ||
| 13–6 | 0.04 | 18% | 26 Jun → | ||
| 15–15 | 0.01 | 14% | 26 Jun → | ||
| 14–16 | 0.10 | 25% | 24 Jun → | ||
| 11–13 | -0.01 | 16% | 24 Jun → | ||
| 13–9 | 0.05 | 14% | 20 Jun → | ||
| 13–8 | 0.02 | 24% | 20 Jun → | ||
| 11–13 | 0.06 | 14% | 18 Jun → | ||
| 10–13 | 0.01 | 21% | 13 Jun → | ||
| 13–8 | -0.01 | 11% | 13 Jun → | ||
| 6–13 | -0.08 | 12% | 12 Jun → | ||
| 8–13 | 0.07 | 27% | 12 Jun → | ||
| 10–13 | 0.02 | 22% | 6 Jun → | ||
| 13–11 | -0.00 | 10% | 6 Jun → | ||
| 2–13 | -0.10 | 21% | 6 Jun → | ||
| 8–13 | 0.01 | 21% | 30 May → | ||
| 13–6 | 0.14 | 11% | 25 May → | ||
| 13–11 | -0.01 | 29% | 24 May → | ||
| 13–16 | -0.02 | 21% | 21 May → | ||
| 13–8 | -0.03 | 18% | 1 May → | ||
| 5–13 | 0.03 | 19% | 1 May → | ||
| 13–9 | 0.13 | 26% | 22 Apr → | ||
| 13–5 | 0.02 | 13% | 22 Apr → | ||
| 13–3 | 0.05 | 22% | 21 Mar → | ||
| 16–14 | -0.04 | 21% | 8 Mar → | ||
| 13–9 | 0.03 | 24% | 8 Mar → | ||
| 3–13 | 0.05 | 31% | 8 Mar → | ||
| 10–13 | -0.01 | 24% | 7 Mar → | ||
| 13–8 | 0.05 | 26% | 7 Mar → | ||
| 4–13 | -0.06 | 23% | 7 Mar → | ||
| 7–13 | -0.03 | 36% | 7 Mar → | ||
| 13–5 | 0.11 | 24% | 26 Feb → | ||
| 13–6 | 0.09 | 27% | 24 Feb → | ||
| 13–8 | 0.01 | 21% | 13 Feb → | ||
| 13–8 | 0.03 | 17% | 13 Feb → | ||
| 13–9 | 0.08 | 19% | 13 Feb → | ||
| 13–0 | 0.16 | 26% | 13 Feb → | ||
| 0–13 | -0.08 | 0% | 11 Feb → | ||
| 13–10 | 0.06 | 18% | 7 Feb → | ||
| 6–13 | -0.10 | 16% | 7 Feb → | ||
| 3–13 | -0.08 | 18% | 6 Feb → | ||
| 13–10 | 0.01 | 32% | 6 Feb → | ||
| 13–8 | -0.02 | 26% | 31 Jan → | ||
| 13–4 | 0.06 | 26% | 31 Jan → | ||
| 7–13 | -0.03 | 39% | 31 Jan → | ||
| 11–0 | 0.10 | 21% | 31 Jan → | ||
| 1–13 | -0.08 | 10% | 31 Jan → | ||
| 10–13 | 0.02 | 22% | 31 Jan → | ||
| 7–13 | -0.05 | 21% | 11 Jan → | ||
| 13–7 | 0.05 | 20% | 11 Jan → | ||
| 6–13 | 0.00 | 31% | 10 Jan → | ||
| 10–13 | -0.00 | 18% | 10 Jan → | ||
| 13–11 | 0.11 | 30% | 1 Jan → | ||
| 3–13 | -0.01 | 17% | 29 Dec → | ||
| 13–10 | 0.06 | 31% | 29 Dec → | ||
| 13–8 | 0.08 | 22% | 27 Dec → | ||
| 7–13 | 0.02 | 23% | 25 Dec → | ||
| 13–11 | 0.07 | 23% | 25 Dec → | ||
| 11–13 | -0.09 | 22% | 25 Dec → | ||
| 7–13 | -0.07 | 19% | 21 Dec → | ||
| 9–13 | 0.02 | 15% | 18 Dec → | ||
| 4–13 | -0.09 | 22% | 28 Nov → | ||
| 2–13 | -0.03 | 8% | 15 Nov → | ||
| 13–8 | -0.00 | 22% | 15 Nov → | ||
| 1–13 | -0.08 | 38% | 15 Nov → | ||
| 9–13 | -0.03 | 17% | 15 Nov → | ||
| 13–9 | 0.08 | 16% | 7 Nov → | ||
| 9–13 | 0.04 | 29% | 29 Oct → | ||
| 14–16 | -0.06 | 12% | 29 Oct → | ||
| 11–13 | 0.05 | 40% | 25 Oct → | ||
| 5–13 | 0.05 | 10% | 25 Oct → |
Match data via Leetify.
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