6Huan — CS2 Stats
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 b1t 89% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution; 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. 600ms 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 5.7/10 (Solid), 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 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 |
|---|---|---|---|---|---|
| B | 26 | 14–12 | 54% | 0.02 | |
| S | 18 | 13–5 | 72% | 0.02 | |
| S | 17 | 13–4 | 76% | 0.06 | |
| S | 12 | 10–2 | 83% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.05 | |
| S | 6 | 5–1 | 83% | 0.08 | |
| — | 3 | 0–3 | 0% | -0.02 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| office | — | 3 | 2–1 | 67% | 0.09 |
| — | 2 | 0–2 | 0% | 0.04 | |
| italy | — | 1 | 0–1 | 0% | 0.12 |
| — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (54% over 26). Start with the 6 essential Dust 2 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 37 | 73% | 1.41 | 17.4 |
| Dust2 | 20 | 60% | 1.52 | 20.2 |
| Ancient | 15 | 67% | 1.28 | 15.9 |
| Inferno | 12 | 42% | 1.38 | 17.0 |
| Nuke | 7 | 29% | 1.24 | 20.9 |
| Anubis | 5 | 80% | 1.20 | 13.4 |
| Vertigo | 2 | 100% | 1.40 | 25.5 |
| Overpass | 1 | 100% | 1.40 | 28.0 |
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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.8948 — below the 4 mark we flag
- 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 39.6833% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | 0.03 | 17% | 29 Jul → | ||
| 13–10 | 0.02 | 15% | 8 Jul → | ||
| 12–12 | -0.00 | 15% | 8 Jul → | ||
| 13–5 | 0.07 | 24% | 8 Jul → | ||
| 13–7 | -0.00 | 19% | 8 Jul → | ||
| 1–7 | 0.10 | 20% | 21 Jun → | ||
| 12–12 | -0.01 | 20% | 21 Jun → | ||
| 13–6 | -0.01 | 17% | 18 Jun → | ||
| 10–13 | 0.04 | 43% | 18 Jun → | ||
| 3–13 | 0.04 | 37% | 18 Jun → | ||
| 5–13 | -0.01 | 18% | 17 Jun → | ||
| 13–11 | 0.09 | 19% | 16 Jun → | ||
| 13–2 | 0.08 | 23% | 14 Jun → | ||
| 13–10 | -0.00 | 11% | 14 Jun → | ||
| 13–10 | 0.02 | 12% | 3 Jun → | ||
| 6–13 | -0.06 | 16% | 3 Jun → | ||
| 8–13 | 0.01 | 16% | 3 Jun → | ||
| 16–14 | 0.06 | 25% | 3 Jun → | ||
| 11–13 | 0.08 | 22% | 3 Jun → | ||
| 5–9 | -0.05 | 9% | 2 Jun → | ||
| 9–6 | 0.01 | 11% | 2 Jun → | ||
| 5–9 | 0.02 | 12% | 2 Jun → | ||
| 2–9 | -0.06 | 13% | 2 Jun → | ||
| 9–2 | 0.05 | 8% | 1 Jun → | ||
| 12–16 | 0.00 | 27% | 31 May → | ||
| 13–10 | 0.03 | 11% | 31 May → | ||
| 13–10 | 0.00 | 20% | 30 May → | ||
| 8–8 | 0.02 | 23% | 30 May → | ||
| 6–9 | 0.03 | 10% | 30 May → | ||
| 9–3 | -0.06 | 13% | 29 May → | ||
| 9–4 | 0.06 | 14% | 29 May → | ||
| 9–0 | 0.26 | 30% | 29 May → | ||
| italy | 12–12 | 0.12 | 21% | 29 May → | |
| 13–5 | 0.12 | 19% | 29 May → | ||
| 13–10 | 0.04 | 22% | 27 May → | ||
| 9–1 | 0.06 | 18% | 27 May → | ||
| 13–9 | 0.06 | 12% | 27 May → | ||
| office | 12–12 | 0.01 | 30% | 25 May → | |
| 13–2 | -0.01 | 21% | 25 May → | ||
| 8–13 | -0.07 | 24% | 25 May → | ||
| 13–7 | -0.03 | 15% | 25 May → | ||
| 13–3 | 0.04 | 13% | 25 May → | ||
| 13–8 | -0.01 | 30% | 25 May → | ||
| 13–8 | 0.01 | 24% | 24 May → | ||
| 13–11 | -0.02 | 14% | 23 May → | ||
| 13–7 | 0.01 | 21% | 22 May → | ||
| 13–11 | 0.09 | 26% | 19 May → | ||
| office | 13–6 | 0.05 | 17% | 19 May → | |
| office | 13–3 | 0.19 | 32% | 19 May → | |
| 16–14 | 0.04 | 16% | 18 May → | ||
| 9–13 | -0.03 | 32% | 17 May → | ||
| 10–13 | 0.00 | 16% | 17 May → | ||
| 13–9 | 0.05 | 12% | 17 May → | ||
| 9–1 | 0.11 | 13% | 16 May → | ||
| 9–7 | -0.03 | 17% | 16 May → | ||
| 9–7 | 0.04 | 36% | 16 May → | ||
| 9–2 | 0.10 | 7% | 16 May → | ||
| 9–1 | 0.33 | 24% | 16 May → | ||
| 13–7 | 0.05 | 21% | 16 May → | ||
| 7–3 | 0.10 | 19% | 12 May → | ||
| 13–9 | 0.05 | 19% | 12 May → | ||
| 13–11 | 0.04 | 23% | 12 May → | ||
| 11–13 | 0.07 | 33% | 12 May → | ||
| 9–13 | -0.01 | 19% | 12 May → | ||
| 26–28 | 0.00 | 14% | 11 May → | ||
| 13–10 | -0.05 | 20% | 11 May → | ||
| 15–19 | -0.01 | 21% | 11 May → | ||
| 5–13 | -0.03 | 13% | 9 May → | ||
| 5–13 | -0.02 | 14% | 9 May → | ||
| 19–16 | -0.01 | 16% | 9 May → | ||
| 9–13 | -0.00 | 19% | 6 May → | ||
| 13–8 | 0.07 | 23% | 6 May → | ||
| 13–7 | 0.02 | 17% | 6 May → | ||
| 16–14 | -0.04 | 25% | 5 May → | ||
| 13–8 | 0.01 | 7% | 4 May → | ||
| 13–10 | -0.01 | 20% | 4 May → | ||
| 13–6 | 0.14 | 28% | 3 May → | ||
| 13–6 | 0.07 | 12% | 2 May → | ||
| 13–8 | -0.00 | 7% | 2 May → | ||
| 13–9 | 0.04 | 9% | 2 May → | ||
| 13–10 | 0.10 | 19% | 1 May → | ||
| 11–13 | 0.11 | 18% | 1 May → | ||
| 13–9 | 0.03 | 13% | 1 May → | ||
| 13–7 | 0.05 | 23% | 1 May → | ||
| 13–10 | 0.07 | 19% | 1 May → | ||
| 9–13 | 0.05 | 24% | 1 May → | ||
| 13–9 | 0.09 | 13% | 29 Apr → | ||
| 9–13 | 0.05 | 11% | 29 Apr → | ||
| 7–13 | -0.04 | 16% | 29 Apr → | ||
| 13–6 | 0.02 | 15% | 29 Apr → | ||
| 13–2 | 0.13 | 14% | 28 Apr → | ||
| 13–10 | 0.14 | 15% | 28 Apr → | ||
| 13–5 | 0.05 | 13% | 27 Apr → | ||
| 16–14 | 0.03 | 12% | 26 Apr → | ||
| 13–10 | 0.04 | 11% | 25 Apr → | ||
| 13–6 | -0.02 | 7% | 25 Apr → | ||
| 5–13 | -0.01 | 24% | 25 Apr → | ||
| 13–7 | 0.11 | 20% | 25 Apr → | ||
| 6–13 | 0.10 | 20% | 23 Apr → | ||
| 13–8 | 0.08 | 18% | 15 Apr → |
Match data via Leetify.