Keizuhn — CS2 Stats
76561198292517562[U:1:332251834]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.06 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 88% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower 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
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Reaction time. 591ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 21 | 12–9 | 57% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| S | 11 | 8–3 | 73% | -0.01 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| D | 7 | 1–6 | 14% | -0.03 | |
| C | 7 | 3–4 | 43% | -0.02 | |
| A | 7 | 4–3 | 57% | 0.00 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| office | — | 4 | 1–3 | 25% | -0.01 |
| — | 4 | 1–3 | 25% | -0.02 | |
| shelter | — | 1 | 1–0 | 100% | -0.01 |
| alpine | — | 1 | 1–0 | 100% | -0.01 |
| stronghold | — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 54% | 1.07 | 17.1 |
| Anubis | 19 | 47% | 1.15 | 19.3 |
| Ancient | 18 | 83% | 1.21 | 16.3 |
| Dust2 | 14 | 57% | 1.05 | 14.5 |
| Inferno | 12 | 58% | 0.96 | 14.9 |
| Train | 4 | 75% | 1.39 | 27.0 |
| Nuke | 2 | 50% | 0.69 | 11.5 |
| Vertigo | 2 | 50% | 0.93 | 15.5 |
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 32.3674% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| shelter | 13–9 | -0.01 | 12% | 26 Aug → | |
| office | 9–13 | -0.04 | 29% | 26 Aug → | |
| 2–9 | -0.21 | 25% | 26 Aug → | ||
| 6–13 | -0.07 | 16% | 17 Aug → | ||
| 4–13 | -0.08 | 16% | 17 Aug → | ||
| 13–7 | -0.00 | 33% | 11 Aug → | ||
| 13–4 | -0.01 | 19% | 11 Aug → | ||
| 13–8 | -0.02 | 34% | 11 Aug → | ||
| 10–13 | -0.03 | 29% | 10 Aug → | ||
| 11–13 | -0.06 | 13% | 9 Aug → | ||
| 13–5 | 0.07 | 38% | 25 Jul → | ||
| 13–3 | 0.05 | 32% | 25 Jul → | ||
| 9–13 | -0.01 | 14% | 17 Jul → | ||
| 13–5 | 0.05 | 20% | 17 Jul → | ||
| 13–5 | 0.02 | 29% | 11 Jul → | ||
| 15–15 | -0.03 | 18% | 11 Jul → | ||
| 7–13 | -0.04 | 33% | 3 Jul → | ||
| 3–10 | -0.02 | 80% | 23 Jun → | ||
| 13–9 | -0.00 | 26% | 23 Jun → | ||
| 4–13 | -0.06 | 24% | 23 Jun → | ||
| 13–8 | 0.01 | 26% | 20 Jun → | ||
| 13–11 | 0.04 | 23% | 19 Jun → | ||
| 10–13 | -0.07 | 11% | 18 Jun → | ||
| 13–3 | 0.08 | 29% | 16 Jun → | ||
| 3–0 | 0.01 | 17% | 9 Jun → | ||
| 3–13 | -0.06 | 17% | 5 Jun → | ||
| 13–9 | 0.04 | 31% | 3 Jun → | ||
| 10–13 | 0.01 | 21% | 2 Jun → | ||
| 13–9 | 0.03 | 10% | 29 May → | ||
| 9–13 | -0.03 | 12% | 28 May → | ||
| 13–3 | 0.03 | 16% | 28 May → | ||
| 13–6 | 0.02 | 14% | 28 May → | ||
| 13–6 | 0.01 | 26% | 26 May → | ||
| 8–13 | -0.03 | 15% | 24 May → | ||
| 13–10 | -0.03 | 11% | 23 May → | ||
| 13–10 | -0.06 | 17% | 23 May → | ||
| 5–13 | -0.04 | 50% | 23 May → | ||
| 11–13 | 0.02 | 26% | 23 May → | ||
| 13–5 | 0.04 | 24% | 22 May → | ||
| 8–13 | 0.00 | 34% | 17 May → | ||
| 9–13 | 0.02 | 27% | 13 May → | ||
| office | 6–13 | 0.03 | 16% | 10 May → | |
| 1–13 | -0.06 | 18% | 10 May → | ||
| 10–13 | 0.01 | 12% | 9 May → | ||
| 1–13 | 0.01 | 28% | 6 May → | ||
| 3–13 | -0.02 | 8% | 5 May → | ||
| 11–13 | -0.04 | 18% | 4 May → | ||
| 16–13 | 0.05 | 30% | 4 May → | ||
| 13–3 | -0.00 | 22% | 27 Apr → | ||
| 12–16 | -0.07 | 31% | 26 Apr → | ||
| 5–13 | 0.01 | 15% | 20 Apr → | ||
| 9–13 | -0.01 | 28% | 19 Apr → | ||
| 13–9 | 0.12 | 27% | 18 Apr → | ||
| 12–12 | -0.03 | 5% | 12 Apr → | ||
| 13–3 | 0.06 | 16% | 11 Apr → | ||
| 6–13 | -0.01 | 33% | 3 Apr → | ||
| 13–11 | -0.03 | 28% | 3 Apr → | ||
| 5–13 | -0.05 | 15% | 28 Mar → | ||
| 3–13 | -0.04 | 27% | 10 Mar → | ||
| 13–10 | -0.03 | 8% | 10 Mar → | ||
| 12–12 | -0.01 | 20% | 1 Mar → | ||
| 8–13 | -0.04 | 13% | 25 Feb → | ||
| alpine | 13–6 | -0.01 | 33% | 22 Feb → | |
| 3–13 | 0.01 | 36% | 22 Feb → | ||
| 13–11 | -0.08 | 27% | 22 Feb → | ||
| 13–9 | 0.02 | 18% | 13 Feb → | ||
| 13–8 | 0.02 | 13% | 12 Feb → | ||
| 13–6 | 0.07 | 10% | 12 Feb → | ||
| 10–13 | -0.00 | 12% | 10 Feb → | ||
| 13–4 | 0.02 | 16% | 9 Feb → | ||
| 10–13 | -0.05 | 16% | 9 Feb → | ||
| 8–13 | -0.07 | 40% | 8 Feb → | ||
| 8–13 | 0.07 | 19% | 7 Feb → | ||
| 13–2 | 0.03 | 11% | 6 Feb → | ||
| 8–13 | -0.06 | 33% | 2 Feb → | ||
| 13–9 | 0.02 | 29% | 1 Feb → | ||
| 3–5 | 0.01 | 22% | 1 Feb → | ||
| 13–10 | 0.04 | 25% | 1 Feb → | ||
| 13–8 | -0.05 | 13% | 1 Feb → | ||
| office | 0–13 | 0.00 | 24% | 27 Jan → | |
| office | 13–6 | -0.04 | 31% | 27 Jan → | |
| 13–7 | -0.04 | 28% | 25 Jan → | ||
| stronghold | 12–12 | 0.04 | 40% | 25 Jan → | |
| 13–10 | -0.00 | 20% | 25 Jan → | ||
| 0–5 | -0.06 | 18% | 19 Jan → | ||
| 6–13 | -0.04 | 29% | 19 Jan → | ||
| 7–13 | 0.00 | 23% | 16 Jan → | ||
| 8–13 | 0.03 | 37% | 14 Jan → | ||
| 7–13 | 0.03 | 19% | 13 Jan → | ||
| 13–5 | 0.12 | 32% | 13 Jan → | ||
| 2–5 | -0.14 | 0% | 10 Jan → | ||
| 13–11 | -0.01 | 28% | 9 Jan → | ||
| 11–13 | -0.06 | 12% | 4 Jan → | ||
| 13–7 | 0.05 | 47% | 1 Jan → | ||
| 12–12 | -0.03 | 19% | 21 Dec → | ||
| 11–13 | 0.01 | 20% | 21 Dec → | ||
| 3–13 | -0.00 | 43% | 17 Dec → | ||
| 10–13 | -0.06 | 16% | 15 Dec → | ||
| 13–7 | -0.03 | 15% | 15 Dec → | ||
| 0–13 | -0.04 | 21% | 6 Dec → |
Match data via Leetify.