KAE — CS2 Stats
TR76561198979861123[U:1:1019595395]Steam profile ↗1 game ban
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.03 avg rating
Player DNA
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 78% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 705ms 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 3.7/10 (Learning), 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 |
|---|---|---|---|---|---|
| C | 60 | 24–36 | 40% | -0.03 | |
| S | 17 | 12–5 | 71% | -0.02 | |
| C | 14 | 5–9 | 36% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | -0.08 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (36% 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 82 | 56% | 0.99 | 12.8 |
| Mirage | 67 | 43% | 0.95 | 14.8 |
| Anubis | 63 | 52% | 0.91 | 13.6 |
| Ancient | 37 | 57% | 0.98 | 15.1 |
| Vertigo | 30 | 47% | 0.79 | 13.0 |
| Inferno | 28 | 46% | 0.88 | 13.8 |
| Nuke | 9 | 56% | 0.73 | 12.9 |
| Overpass | 3 | 0% | 0.96 | 18.0 |
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
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.9036° — above the 12° mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 705.0254ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 19–16 | -0.08 | 16% | 22 Aug → | ||
| 8–13 | -0.08 | 10% | 21 Aug → | ||
| 12–12 | -0.11 | 17% | 26 Jul → | ||
| 4–13 | -0.07 | 0% | 15 Jul → | ||
| 13–5 | -0.04 | 13% | 11 Jul → | ||
| 13–11 | 0.01 | 15% | 11 Jul → | ||
| 12–12 | -0.01 | 21% | 3 Jul → | ||
| 13–11 | -0.06 | 27% | 16 Jun → | ||
| 10–13 | -0.04 | 19% | 4 Jun → | ||
| 4–13 | -0.05 | 24% | 1 Jun → | ||
| 13–4 | 0.06 | 22% | 23 May → | ||
| 6–13 | -0.06 | 20% | 18 May → | ||
| 13–5 | 0.07 | 20% | 15 May → | ||
| 10–13 | -0.02 | 22% | 15 May → | ||
| 10–13 | -0.05 | 12% | 13 May → | ||
| 6–13 | -0.03 | 16% | 11 May → | ||
| 13–6 | 0.02 | 18% | 9 May → | ||
| 10–13 | -0.04 | 17% | 1 May → | ||
| 13–5 | -0.07 | 19% | 23 Apr → | ||
| 3–13 | -0.12 | 16% | 23 Apr → | ||
| 13–4 | -0.02 | 25% | 19 Apr → | ||
| 13–9 | -0.02 | 14% | 9 Apr → | ||
| 6–13 | -0.02 | 31% | 9 Apr → | ||
| 7–13 | -0.09 | 16% | 6 Apr → | ||
| 13–5 | 0.03 | 14% | 6 Apr → | ||
| 10–13 | 0.02 | 10% | 6 Apr → | ||
| 8–13 | -0.09 | 26% | 6 Apr → | ||
| 13–9 | -0.06 | 10% | 3 Apr → | ||
| 10–13 | -0.01 | 11% | 3 Apr → | ||
| 10–13 | 0.01 | 18% | 2 Apr → | ||
| 8–13 | -0.03 | 16% | 25 Mar → | ||
| 13–6 | -0.06 | 24% | 25 Mar → | ||
| 13–10 | 0.01 | 30% | 24 Mar → | ||
| 2–13 | -0.07 | 0% | 21 Mar → | ||
| 8–13 | 0.01 | 16% | 21 Mar → | ||
| 7–13 | -0.07 | 17% | 21 Mar → | ||
| 8–13 | -0.04 | 29% | 18 Mar → | ||
| 4–13 | -0.08 | 36% | 16 Mar → | ||
| 9–13 | -0.05 | 12% | 16 Mar → | ||
| 13–6 | -0.04 | 12% | 16 Mar → | ||
| 13–10 | 0.04 | 15% | 15 Mar → | ||
| 4–13 | -0.01 | 26% | 14 Mar → | ||
| 5–13 | -0.08 | 16% | 13 Mar → | ||
| 2–13 | -0.04 | 29% | 13 Mar → | ||
| 2–13 | -0.03 | 31% | 13 Mar → | ||
| 9–13 | -0.06 | 12% | 11 Mar → | ||
| 7–13 | -0.03 | 20% | 4 Mar → | ||
| 12–12 | 0.01 | 24% | 3 Mar → | ||
| 7–13 | 0.05 | 23% | 3 Mar → | ||
| 4–13 | -0.06 | 6% | 28 Feb → | ||
| 13–5 | -0.02 | 17% | 28 Feb → | ||
| 13–10 | -0.02 | 22% | 28 Feb → | ||
| 7–13 | -0.13 | 14% | 27 Feb → | ||
| 4–13 | -0.13 | 7% | 27 Feb → | ||
| 12–12 | -0.13 | 8% | 27 Feb → | ||
| 13–1 | 0.02 | 25% | 27 Feb → | ||
| 13–3 | 0.07 | 32% | 26 Feb → | ||
| 12–12 | -0.07 | 8% | 21 Feb → | ||
| 13–6 | -0.04 | 17% | 21 Feb → | ||
| 5–13 | -0.08 | 12% | 21 Feb → | ||
| 11–13 | -0.05 | 31% | 20 Feb → | ||
| 13–7 | 0.08 | 27% | 20 Feb → | ||
| 13–7 | -0.02 | 21% | 20 Feb → | ||
| 6–13 | -0.03 | 16% | 18 Feb → | ||
| 13–10 | -0.01 | 17% | 17 Feb → | ||
| 7–13 | -0.01 | 16% | 15 Feb → | ||
| 13–10 | -0.06 | 11% | 15 Feb → | ||
| 13–4 | 0.08 | 17% | 15 Feb → | ||
| 1–13 | -0.02 | 13% | 15 Feb → | ||
| 13–2 | -0.02 | 33% | 15 Feb → | ||
| 10–13 | -0.09 | 44% | 14 Feb → | ||
| 11–13 | -0.08 | 19% | 13 Feb → | ||
| 13–9 | -0.05 | 20% | 13 Feb → | ||
| 13–6 | 0.14 | 32% | 13 Feb → | ||
| 13–5 | 0.03 | 14% | 12 Feb → | ||
| 10–13 | -0.04 | 9% | 12 Feb → | ||
| 13–9 | -0.03 | 24% | 12 Feb → | ||
| 8–13 | 0.01 | 17% | 12 Feb → | ||
| 1–13 | -0.00 | 22% | 12 Feb → | ||
| 13–11 | -0.02 | 28% | 11 Feb → | ||
| 13–5 | -0.00 | 22% | 10 Feb → | ||
| 13–11 | 0.04 | 17% | 9 Feb → | ||
| 12–12 | -0.00 | 13% | 9 Feb → | ||
| 13–7 | -0.02 | 18% | 9 Feb → | ||
| 8–13 | -0.05 | 32% | 8 Feb → | ||
| 13–9 | -0.07 | 21% | 8 Feb → | ||
| 15–15 | 0.00 | 20% | 8 Feb → | ||
| 13–9 | -0.01 | 20% | 7 Feb → | ||
| 13–5 | 0.09 | 32% | 6 Feb → | ||
| 12–12 | -0.04 | 19% | 5 Feb → | ||
| 13–10 | 0.06 | 37% | 4 Feb → | ||
| 12–12 | -0.01 | 22% | 3 Feb → | ||
| 13–6 | -0.00 | 10% | 3 Feb → | ||
| 13–9 | -0.05 | 13% | 3 Feb → | ||
| 13–1 | 0.19 | 19% | 2 Feb → | ||
| 13–4 | -0.07 | 21% | 2 Feb → | ||
| 13–7 | -0.02 | 31% | 2 Feb → | ||
| 12–12 | -0.07 | 12% | 2 Feb → | ||
| 13–7 | 0.04 | 17% | 1 Feb → | ||
| 13–3 | 0.06 | 33% | 16 Jan → |
Match data via Leetify.