Hq-Maniac — CS2 Stats
76561198186365159[U:1:226099431]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 49.8% | 52.8% |
| Shot accuracy | 12.9% | 13.7% |
| Kill/death ratio | 1.15 | 1.08 |
| Match win rate | 43.5% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +80pp win rate · +0.07 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 Twistzz 88% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 53% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
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 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 28 | 16–12 | 57% | 0.01 | |
| A | 27 | 15–12 | 56% | -0.00 | |
| A | 17 | 10–7 | 59% | 0.01 | |
| S | 10 | 9–1 | 90% | 0.05 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Inferno 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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 462 | 47% | 1.03 | 15.3 |
| Ancient | 245 | 51% | 1.09 | 15.7 |
| Dust2 | 234 | 53% | 1.13 | 16.1 |
| Anubis | 171 | 47% | 1.12 | 15.8 |
| Inferno | 135 | 57% | 1.15 | 15.9 |
| Nuke | 107 | 46% | 1.10 | 15.4 |
| Vertigo | 45 | 60% | 1.03 | 15.2 |
| Overpass | 33 | 52% | 1.04 | 15.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3988 — below the 0.5 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 26.0785% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.03 | 29% | 27 Aug → | ||
| 13–4 | 0.07 | 23% | 26 Aug → | ||
| 13–10 | 0.01 | 23% | 25 Aug → | ||
| 13–8 | -0.01 | 16% | 24 Aug → | ||
| 13–11 | 0.04 | 17% | 24 Aug → | ||
| 13–10 | 0.04 | 10% | 24 Aug → | ||
| 11–13 | -0.02 | 18% | 24 Aug → | ||
| 13–1 | 0.06 | 27% | 24 Aug → | ||
| 13–10 | 0.01 | 29% | 23 Aug → | ||
| 13–11 | -0.01 | 26% | 23 Aug → | ||
| 4–13 | 0.09 | 25% | 23 Aug → | ||
| 1–13 | 0.00 | 20% | 23 Aug → | ||
| 0–4 | -0.12 | 0% | 22 Aug → | ||
| 8–13 | -0.11 | 19% | 22 Aug → | ||
| 3–13 | -0.13 | 19% | 22 Aug → | ||
| 4–13 | -0.09 | 11% | 22 Aug → | ||
| 2–13 | -0.09 | 13% | 22 Aug → | ||
| 1–13 | -0.12 | 25% | 22 Aug → | ||
| 13–11 | -0.04 | 14% | 22 Aug → | ||
| 9–13 | 0.02 | 28% | 19 Aug → | ||
| 13–10 | -0.02 | 26% | 18 Aug → | ||
| 9–2 | -0.03 | 12% | 18 Aug → | ||
| 5–10 | -0.01 | 24% | 17 Aug → | ||
| 6–13 | -0.03 | 24% | 17 Aug → | ||
| 0–13 | -0.07 | 43% | 17 Aug → | ||
| 13–3 | 0.17 | 20% | 10 Aug → | ||
| 13–7 | 0.01 | 25% | 10 Aug → | ||
| 13–9 | 0.03 | 20% | 10 Aug → | ||
| 13–11 | 0.07 | 23% | 10 Aug → | ||
| 13–8 | -0.01 | 23% | 10 Aug → | ||
| 13–7 | 0.05 | 25% | 10 Aug → | ||
| 3–13 | 0.04 | 24% | 10 Aug → | ||
| 13–6 | -0.02 | 18% | 9 Aug → | ||
| 11–13 | -0.01 | 22% | 8 Aug → | ||
| 6–13 | 0.06 | 31% | 7 Aug → | ||
| 10–13 | -0.03 | 28% | 6 Aug → | ||
| 15–15 | -0.04 | 27% | 29 Jul → | ||
| 16–13 | 0.02 | 18% | 27 Jul → | ||
| 8–13 | -0.01 | 11% | 27 Jul → | ||
| 9–13 | -0.04 | 10% | 27 Jul → | ||
| 13–8 | -0.01 | 26% | 27 Jul → | ||
| 13–6 | 0.14 | 18% | 27 Jul → | ||
| 13–8 | 0.19 | 25% | 24 Jul → | ||
| 13–4 | 0.02 | 31% | 21 Jul → | ||
| 13–11 | 0.03 | 15% | 13 Jul → | ||
| 13–3 | 0.02 | 40% | 8 Jul → | ||
| 13–7 | 0.02 | 20% | 5 Jul → | ||
| 15–15 | -0.04 | 20% | 2 Jul → | ||
| 13–10 | 0.02 | 22% | 30 Jun → | ||
| 13–10 | 0.03 | 19% | 29 Jun → | ||
| 13–0 | -0.01 | 0% | 28 Jun → | ||
| 12–12 | 0.11 | 28% | 25 Jun → | ||
| 13–8 | 0.05 | 17% | 25 Jun → | ||
| 13–3 | 0.04 | 22% | 25 Jun → | ||
| 9–4 | 0.05 | 26% | 25 Jun → | ||
| 10–13 | 0.02 | 25% | 23 Jun → | ||
| 13–2 | -0.01 | 20% | 23 Jun → | ||
| 13–7 | 0.02 | 35% | 20 Jun → | ||
| 9–13 | -0.01 | 27% | 19 Jun → | ||
| 7–13 | -0.04 | 32% | 18 Jun → | ||
| 7–13 | -0.02 | 32% | 18 Jun → | ||
| 5–13 | 0.04 | 23% | 18 Jun → | ||
| 3–13 | 0.06 | 21% | 18 Jun → | ||
| 13–10 | -0.05 | 25% | 16 Jun → | ||
| 13–8 | 0.09 | 16% | 16 Jun → | ||
| 13–11 | 0.01 | 24% | 16 Jun → | ||
| 10–13 | 0.04 | 26% | 16 Jun → | ||
| 8–13 | 0.01 | 22% | 15 Jun → | ||
| 5–13 | -0.00 | 37% | 12 Jun → | ||
| 13–9 | -0.01 | 31% | 11 Jun → | ||
| 13–11 | -0.02 | 33% | 11 Jun → | ||
| 16–12 | -0.02 | 24% | 9 Jun → | ||
| 10–13 | 0.08 | 20% | 5 Jun → | ||
| 13–10 | -0.01 | 23% | 4 Jun → | ||
| 13–7 | 0.07 | 30% | 3 Jun → | ||
| 13–11 | 0.03 | 13% | 3 Jun → | ||
| 13–7 | 0.09 | 22% | 30 May → | ||
| 13–5 | 0.03 | 24% | 30 May → | ||
| 0–7 | -0.13 | 25% | 30 May → | ||
| 11–13 | -0.06 | 26% | 29 May → | ||
| 7–13 | 0.03 | 16% | 25 May → | ||
| 13–6 | -0.01 | 19% | 24 May → | ||
| 13–9 | 0.06 | 38% | 22 May → | ||
| 13–10 | 0.00 | 23% | 22 May → | ||
| 16–13 | -0.01 | 24% | 21 May → | ||
| 13–6 | -0.06 | 23% | 21 May → | ||
| 13–1 | 0.02 | 21% | 20 May → | ||
| 13–0 | 0.13 | 37% | 20 May → | ||
| 16–13 | -0.03 | 11% | 18 May → | ||
| 13–4 | 0.07 | 15% | 17 May → | ||
| 13–9 | 0.02 | 14% | 15 May → | ||
| 13–10 | 0.10 | 20% | 15 May → | ||
| 13–7 | 0.13 | 38% | 12 May → | ||
| 4–13 | -0.07 | 27% | 10 May → | ||
| 13–10 | -0.01 | 23% | 10 May → | ||
| 3–13 | -0.11 | 22% | 10 May → | ||
| 0–13 | -0.12 | 22% | 10 May → | ||
| 13–4 | 0.13 | 24% | 7 May → | ||
| 1–11 | -0.06 | 33% | 7 May → | ||
| 14–16 | 0.01 | 24% | 6 May → |
Match data via Leetify.