Khana — CS2 Stats
BE76561197965044950[U:1:4779222]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 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 ropz 81% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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.
Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 83 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 | 27 | 17–10 | 63% | -0.00 | |
| A | 14 | 8–6 | 57% | -0.02 | |
| S | 14 | 12–2 | 86% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| — | 4 | 1–3 | 25% | -0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 2 | 0–2 | 0% | -0.05 |
Across the last 83 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (56% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 28 | 71% | 1.09 | 14.5 |
| Anubis | 20 | 60% | 1.07 | 16.5 |
| Dust2 | 19 | 47% | 1.02 | 16.2 |
| Mirage | 15 | 53% | 1.10 | 17.3 |
| Nuke | 14 | 57% | 1.15 | 16.9 |
| Ancient | 12 | 58% | 1.12 | 17.7 |
| Overpass | 3 | 33% | 0.67 | 12.3 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.4721% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1433 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 19% | 1 Mar → | ||
| 16–13 | -0.02 | 11% | 1 Mar → | ||
| 11–13 | 0.00 | 10% | 1 Mar → | ||
| 10–0 | -0.00 | 16% | 27 Feb → | ||
| 6–13 | -0.11 | 21% | 26 Feb → | ||
| 9–13 | -0.04 | 19% | 25 Feb → | ||
| 13–11 | 0.01 | 7% | 21 Feb → | ||
| 14–16 | 0.01 | 13% | 21 Feb → | ||
| 13–6 | -0.05 | 18% | 18 Feb → | ||
| 9–13 | -0.05 | 21% | 18 Feb → | ||
| 9–13 | 0.02 | 6% | 9 Feb → | ||
| 16–12 | -0.02 | 21% | 9 Feb → | ||
| 13–9 | -0.04 | 23% | 8 Feb → | ||
| 13–2 | 0.05 | 24% | 8 Feb → | ||
| 9–13 | -0.03 | 9% | 6 Feb → | ||
| 13–11 | -0.06 | 10% | 6 Feb → | ||
| 13–3 | 0.01 | 9% | 5 Feb → | ||
| 13–11 | -0.01 | 15% | 31 Jan → | ||
| 13–5 | 0.03 | 31% | 31 Jan → | ||
| 13–10 | -0.05 | 12% | 29 Jan → | ||
| 10–13 | -0.07 | 13% | 29 Jan → | ||
| 7–2 | 0.02 | 19% | 29 Jan → | ||
| 9–13 | -0.04 | 14% | 29 Jan → | ||
| 13–6 | 0.04 | 14% | 29 Jan → | ||
| 13–7 | 0.03 | 11% | 29 Jan → | ||
| 13–4 | 0.00 | 13% | 29 Jan → | ||
| 11–13 | -0.01 | 9% | 27 Jan → | ||
| 13–11 | 0.00 | 8% | 27 Jan → | ||
| 13–2 | 0.00 | 9% | 27 Jan → | ||
| 5–13 | -0.01 | 16% | 27 Jan → | ||
| 13–8 | -0.01 | 14% | 27 Jan → | ||
| 13–11 | -0.04 | 12% | 26 Jan → | ||
| 11–0 | 0.01 | 53% | 26 Jan → | ||
| 5–13 | -0.02 | 8% | 26 Jan → | ||
| 13–1 | -0.01 | 3% | 26 Jan → | ||
| 11–13 | 0.09 | 15% | 25 Jan → | ||
| 12–12 | 0.06 | 22% | 25 Jan → | ||
| 13–8 | -0.07 | 9% | 24 Jan → | ||
| 13–11 | -0.00 | 21% | 24 Jan → | ||
| 13–4 | -0.03 | 15% | 24 Jan → | ||
| 9–13 | -0.05 | 21% | 24 Jan → | ||
| 13–8 | 0.03 | 26% | 24 Jan → | ||
| 13–11 | -0.05 | 17% | 24 Jan → | ||
| 11–13 | -0.00 | 8% | 22 Jan → | ||
| 5–13 | 0.04 | 16% | 22 Jan → | ||
| 13–5 | 0.03 | 8% | 22 Jan → | ||
| 13–3 | -0.02 | 11% | 22 Jan → | ||
| 13–5 | 0.07 | 13% | 22 Jan → | ||
| 13–8 | 0.02 | 14% | 22 Jan → | ||
| 12–12 | 0.03 | 4% | 22 Jan → | ||
| 13–4 | -0.02 | 8% | 21 Jan → | ||
| 7–9 | -0.12 | 20% | 21 Jan → | ||
| 4–9 | -0.04 | 21% | 21 Jan → | ||
| 16–14 | -0.01 | 11% | 25 Feb → | ||
| 16–1 | -0.05 | 21% | 22 Feb → | ||
| 12–16 | 0.00 | 9% | 19 Feb → | ||
| 22–18 | -0.00 | 10% | 19 Feb → | ||
| 16–13 | -0.02 | 9% | 17 Feb → | ||
| 16–12 | 0.00 | 12% | 16 Feb → | ||
| 16–14 | 0.00 | 9% | 13 Feb → | ||
| 16–4 | -0.01 | 12% | 10 Feb → | ||
| 9–16 | 0.00 | 12% | 29 Jan → | ||
| 16–12 | -0.00 | 9% | 24 Jan → | ||
| 13–16 | -0.05 | 13% | 20 Jan → | ||
| 11–16 | -0.07 | 15% | 17 Jan → | ||
| 16–8 | -0.02 | 14% | 17 Jan → | ||
| 13–16 | -0.01 | 13% | 17 Jan → | ||
| 4–16 | -0.07 | 12% | 16 Jan → | ||
| 16–6 | 0.00 | 7% | 2 Jan → | ||
| 12–16 | -0.06 | 12% | 30 Dec → | ||
| 16–8 | 0.11 | 15% | 30 Dec → | ||
| 16–8 | 0.12 | 16% | 14 Dec → | ||
| 16–12 | 0.06 | 14% | 5 Dec → | ||
| 16–8 | -0.01 | 12% | 14 Nov → | ||
| 12–16 | -0.04 | 13% | 12 Nov → | ||
| 16–14 | -0.02 | 13% | 7 Nov → | ||
| 17–19 | 0.06 | 12% | 3 Nov → | ||
| 7–16 | -0.05 | 12% | 1 Nov → | ||
| 16–11 | -0.03 | 13% | 30 Oct → | ||
| 16–12 | -0.01 | 14% | 18 Oct → | ||
| 2–9 | -0.10 | 0% | 12 Oct → | ||
| 16–6 | 0.07 | 7% | 9 Oct → | ||
| 6–9 | -0.05 | 15% | 7 Oct → |
Match data via Leetify.