hLeks[300kg] — CS2 Stats
NO76561197964690938[U:1:4425210]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: opening-fight frequency, 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. 557ms 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 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | 24 | 15–9 | 63% | 0.03 | |
| C | 20 | 8–12 | 40% | -0.03 | |
| C | 18 | 7–11 | 39% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.01 | |
| cache_b | C | 5 | 2–3 | 40% | -0.01 |
| — | 4 | 2–2 | 50% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.04 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 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 |
|---|---|---|---|---|
| Inferno | 51 | 59% | 1.47 | 19.2 |
| Ancient | 41 | 63% | 1.22 | 17.2 |
| Nuke | 29 | 66% | 1.32 | 17.4 |
| Mirage | 25 | 36% | 1.04 | 14.6 |
| Dust2 | 22 | 55% | 1.19 | 15.9 |
| Anubis | 9 | 44% | 1.16 | 15.6 |
| Train | 7 | 29% | 0.95 | 15.9 |
| Vertigo | 4 | 75% | 1.18 | 16.8 |
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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.03 | 26% | 13 Jun → | ||
| 16–13 | -0.02 | 18% | 13 Jun → | ||
| 2–13 | -0.05 | 7% | 13 Jun → | ||
| 13–10 | -0.02 | 24% | 13 Jun → | ||
| 5–13 | -0.04 | 0% | 12 Jun → | ||
| 4–13 | -0.03 | 24% | 12 Jun → | ||
| 17–19 | 0.04 | 22% | 7 Jun → | ||
| 13–9 | 0.04 | 33% | 7 Jun → | ||
| 9–13 | 0.07 | 21% | 12 Apr → | ||
| cache_b | 10–13 | -0.05 | 19% | 12 Apr → | |
| 13–11 | -0.03 | 18% | 12 Apr → | ||
| 13–7 | 0.01 | 24% | 10 Apr → | ||
| 16–14 | 0.02 | 17% | 10 Apr → | ||
| 12–12 | 0.01 | 11% | 26 Mar → | ||
| 13–3 | 0.10 | 20% | 26 Mar → | ||
| 3–13 | 0.05 | 14% | 26 Mar → | ||
| 13–11 | 0.01 | 18% | 22 Mar → | ||
| 13–8 | -0.01 | 16% | 22 Mar → | ||
| 10–13 | 0.00 | 22% | 22 Mar → | ||
| 13–11 | -0.01 | 7% | 21 Mar → | ||
| 13–11 | -0.00 | 14% | 21 Mar → | ||
| 21–25 | 0.03 | 19% | 15 Mar → | ||
| 13–10 | 0.02 | 18% | 15 Mar → | ||
| 10–13 | -0.03 | 16% | 15 Mar → | ||
| 8–13 | 0.14 | 16% | 15 Mar → | ||
| 7–13 | -0.07 | 19% | 10 Mar → | ||
| 13–6 | 0.08 | 35% | 10 Mar → | ||
| 13–9 | 0.03 | 10% | 7 Feb → | ||
| 9–13 | -0.03 | 24% | 7 Feb → | ||
| 10–13 | -0.01 | 0% | 24 Jan → | ||
| 4–13 | -0.06 | 0% | 24 Jan → | ||
| 16–14 | 0.06 | 29% | 16 Jan → | ||
| 13–3 | 0.04 | 23% | 16 Jan → | ||
| cache_b | 4–13 | -0.02 | 9% | 16 Jan → | |
| 13–9 | 0.01 | 28% | 16 Jan → | ||
| 11–13 | -0.03 | 19% | 9 Jan → | ||
| 4–13 | -0.02 | 34% | 9 Jan → | ||
| 13–6 | 0.11 | 29% | 9 Jan → | ||
| 5–13 | -0.02 | 15% | 9 Jan → | ||
| 1–13 | -0.05 | 23% | 4 Jan → | ||
| 13–16 | 0.06 | 14% | 4 Jan → | ||
| cache_b | 13–8 | 0.05 | 18% | 29 Dec → | |
| 13–8 | -0.01 | 26% | 29 Dec → | ||
| 13–7 | 0.02 | 9% | 29 Dec → | ||
| 10–13 | -0.02 | 21% | 28 Dec → | ||
| 11–13 | 0.03 | 21% | 25 Dec → | ||
| 4–13 | 0.02 | 14% | 25 Dec → | ||
| 13–4 | -0.06 | 10% | 22 Dec → | ||
| 16–14 | 0.06 | 21% | 22 Dec → | ||
| 11–13 | 0.01 | 12% | 18 Dec → | ||
| 13–11 | -0.03 | 11% | 18 Dec → | ||
| 8–13 | -0.02 | 9% | 16 Dec → | ||
| 5–13 | 0.05 | 14% | 16 Dec → | ||
| 13–11 | 0.02 | 22% | 4 Dec → | ||
| 3–13 | -0.01 | 31% | 4 Dec → | ||
| 13–3 | 0.03 | 13% | 4 Dec → | ||
| 13–8 | 0.07 | 8% | 24 Nov → | ||
| 6–13 | -0.05 | 30% | 21 Nov → | ||
| 17–19 | 0.01 | 15% | 21 Nov → | ||
| 10–13 | -0.05 | 25% | 20 Nov → | ||
| 9–13 | 0.02 | 22% | 20 Nov → | ||
| 11–13 | 0.04 | 16% | 18 Nov → | ||
| 13–5 | 0.07 | 28% | 16 Nov → | ||
| 9–13 | 0.02 | 20% | 16 Nov → | ||
| 13–5 | 0.02 | 23% | 15 Nov → | ||
| 13–10 | 0.00 | 12% | 15 Nov → | ||
| 4–13 | -0.07 | 14% | 12 Nov → | ||
| 13–8 | 0.03 | 35% | 12 Nov → | ||
| 13–6 | 0.01 | 10% | 10 Nov → | ||
| 9–13 | -0.03 | 26% | 10 Nov → | ||
| 13–8 | 0.06 | 23% | 8 Nov → | ||
| 4–13 | 0.05 | 21% | 8 Nov → | ||
| 13–7 | 0.03 | 15% | 8 Nov → | ||
| 13–11 | -0.02 | 16% | 8 Nov → | ||
| 8–13 | -0.01 | 20% | 7 Nov → | ||
| 13–10 | 0.01 | 17% | 7 Nov → | ||
| cache_b | 14–16 | 0.00 | 17% | 7 Nov → | |
| 13–11 | 0.03 | 19% | 6 Nov → | ||
| 11–13 | 0.02 | 23% | 6 Nov → | ||
| 13–7 | 0.00 | 13% | 5 Nov → | ||
| 13–9 | 0.02 | 23% | 5 Nov → | ||
| 13–11 | -0.07 | 13% | 5 Nov → | ||
| cache_b | 13–10 | -0.03 | 26% | 2 Nov → | |
| 13–8 | 0.09 | 33% | 2 Nov → | ||
| 13–5 | 0.16 | 34% | 2 Nov → | ||
| 19–17 | 0.07 | 20% | 30 Oct → | ||
| 8–13 | 0.01 | 29% | 30 Oct → | ||
| 13–8 | -0.08 | 14% | 30 Oct → | ||
| 9–13 | 0.00 | 31% | 28 Oct → | ||
| 13–8 | 0.01 | 17% | 28 Oct → | ||
| 9–13 | 0.01 | 25% | 28 Oct → | ||
| 14–16 | -0.03 | 21% | 26 Oct → | ||
| 13–7 | 0.08 | 17% | 26 Oct → | ||
| 13–7 | 0.00 | 27% | 23 Oct → | ||
| 4–13 | -0.03 | 26% | 23 Oct → | ||
| 11–13 | -0.05 | 16% | 19 Oct → | ||
| 9–13 | -0.01 | 6% | 19 Oct → | ||
| 13–8 | 0.04 | 24% | 19 Oct → | ||
| 9–13 | -0.04 | 12% | 19 Oct → | ||
| 13–9 | 0.09 | 24% | 17 Oct → |
Match data via Leetify.