benq1aw — CS2 Stats
SK76561197994016661[U:1:33750933]Steam profile ↗
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 | 39.2% | 52.8% |
| Shot accuracy | 17.7% | 13.7% |
| Kill/death ratio | 0.92 | 1.08 |
| Match win rate | 45.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · +0.02 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
High utility contribution
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 89% playstyle similarity
Most alike: opening-fight frequency, 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
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
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 |
|---|---|---|---|---|---|
| S | 25 | 18–7 | 72% | 0.03 | |
| S | 17 | 13–4 | 76% | 0.02 | |
| A | 15 | 9–6 | 60% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| B | 8 | 4–4 | 50% | -0.00 | |
| S | 6 | 5–1 | 83% | 0.02 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| — | 4 | 4–0 | 100% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| office | — | 3 | 1–2 | 33% | 0.02 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Ancient 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 132 | 54% | 0.96 | 14.3 |
| Inferno | 125 | 67% | 1.07 | 13.9 |
| Dust2 | 102 | 53% | 0.97 | 13.5 |
| Mirage | 77 | 53% | 0.98 | 13.9 |
| Nuke | 39 | 49% | 1.02 | 13.6 |
| Overpass | 19 | 42% | 0.90 | 12.6 |
| Anubis | 17 | 47% | 0.80 | 13.1 |
| Train | 8 | 62% | 0.93 | 14.5 |
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 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 33.2947% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.03 | 22% | 25 Aug → | ||
| 9–13 | 0.00 | 15% | 24 Aug → | ||
| 13–11 | 0.08 | 22% | 24 Aug → | ||
| 13–2 | 0.06 | 8% | 24 Aug → | ||
| 9–13 | 0.01 | 27% | 18 Aug → | ||
| 16–13 | 0.09 | 18% | 16 Aug → | ||
| 19–22 | 0.01 | 3% | 16 Aug → | ||
| 8–13 | 0.03 | 18% | 16 Aug → | ||
| 13–4 | 0.02 | 10% | 14 Aug → | ||
| 13–4 | 0.04 | 11% | 13 Aug → | ||
| 13–10 | 0.04 | 18% | 13 Aug → | ||
| 13–6 | 0.01 | 8% | 12 Aug → | ||
| 16–14 | 0.01 | 12% | 12 Aug → | ||
| 13–8 | 0.03 | 19% | 12 Aug → | ||
| 13–8 | 0.00 | 9% | 12 Aug → | ||
| 13–10 | -0.04 | 18% | 12 Aug → | ||
| 19–15 | 0.08 | 16% | 10 Aug → | ||
| 13–9 | 0.09 | 22% | 10 Aug → | ||
| 13–9 | 0.03 | 29% | 9 Aug → | ||
| 13–16 | -0.04 | 10% | 6 Aug → | ||
| 14–16 | 0.02 | 22% | 3 Aug → | ||
| 13–9 | 0.01 | 9% | 3 Jul → | ||
| 9–13 | -0.07 | 19% | 3 Jul → | ||
| 13–9 | -0.08 | 27% | 1 Jul → | ||
| 13–10 | 0.03 | 20% | 1 Jul → | ||
| 8–13 | -0.03 | 11% | 1 Jul → | ||
| 13–7 | 0.02 | 13% | 29 Jun → | ||
| 13–10 | 0.03 | 19% | 29 Jun → | ||
| 13–4 | -0.02 | 35% | 27 Jun → | ||
| 9–13 | -0.03 | 7% | 27 Jun → | ||
| 13–8 | 0.04 | 13% | 27 Jun → | ||
| 13–11 | -0.01 | 17% | 24 Jun → | ||
| 10–13 | -0.04 | 12% | 24 Jun → | ||
| 14–16 | 0.00 | 22% | 22 Jun → | ||
| 13–4 | 0.05 | 24% | 22 Jun → | ||
| 13–4 | 0.06 | 14% | 21 Jun → | ||
| 13–9 | 0.04 | 9% | 21 Jun → | ||
| 13–8 | -0.00 | 17% | 18 Jun → | ||
| 13–8 | 0.13 | 25% | 16 Jun → | ||
| 13–9 | -0.03 | 13% | 16 Jun → | ||
| 9–2 | 0.05 | 24% | 15 Jun → | ||
| 2–9 | 0.04 | 23% | 15 Jun → | ||
| 13–9 | 0.05 | 15% | 5 Jun → | ||
| 13–8 | 0.03 | 14% | 5 Jun → | ||
| 13–8 | 0.02 | 9% | 27 May → | ||
| 13–5 | 0.19 | 13% | 27 May → | ||
| 13–2 | 0.13 | 24% | 5 Apr → | ||
| 11–13 | 0.12 | 22% | 4 Apr → | ||
| 15–15 | 0.07 | 17% | 30 Mar → | ||
| office | 13–6 | 0.01 | 10% | 19 Mar → | |
| office | 4–13 | 0.03 | 19% | 19 Mar → | |
| office | 12–12 | 0.03 | 18% | 18 Mar → | |
| 9–7 | -0.01 | 12% | 16 Mar → | ||
| 9–4 | 0.09 | 21% | 16 Mar → | ||
| 9–7 | -0.00 | 13% | 16 Mar → | ||
| 13–5 | 0.10 | 14% | 6 Mar → | ||
| 8–8 | -0.08 | 33% | 16 Feb → | ||
| 8–8 | 0.18 | 14% | 16 Feb → | ||
| 4–13 | -0.00 | 22% | 4 Feb → | ||
| 13–6 | 0.05 | 15% | 4 Feb → | ||
| 13–5 | 0.04 | 17% | 25 Jan → | ||
| 13–3 | -0.00 | 11% | 25 Jan → | ||
| 13–3 | -0.02 | 15% | 25 Jan → | ||
| 9–4 | 0.05 | 27% | 24 Jan → | ||
| 9–7 | -0.01 | 16% | 24 Jan → | ||
| 13–6 | 0.13 | 19% | 19 Jan → | ||
| 13–9 | 0.07 | 17% | 18 Jan → | ||
| 7–13 | -0.04 | 5% | 18 Jan → | ||
| 13–8 | 0.03 | 28% | 15 Jan → | ||
| 6–13 | 0.02 | 11% | 15 Jan → | ||
| 13–6 | 0.08 | 19% | 12 Jan → | ||
| 6–13 | -0.04 | 14% | 12 Jan → | ||
| 14–16 | 0.03 | 14% | 10 Jan → | ||
| 13–3 | 0.06 | 22% | 10 Jan → | ||
| 10–13 | -0.06 | 13% | 15 Dec → | ||
| 16–13 | 0.03 | 19% | 15 Dec → | ||
| 16–14 | -0.02 | 13% | 8 Dec → | ||
| 13–4 | 0.11 | 33% | 8 Dec → | ||
| 13–9 | 0.04 | 21% | 3 Dec → | ||
| 10–13 | 0.01 | 22% | 3 Dec → | ||
| 13–9 | 0.04 | 18% | 27 Nov → | ||
| 13–7 | 0.05 | 18% | 27 Nov → | ||
| 1–9 | -0.22 | 9% | 5 Nov → | ||
| 9–0 | 0.15 | 7% | 5 Nov → | ||
| 13–10 | 0.10 | 15% | 28 Oct → | ||
| 8–8 | -0.03 | 20% | 28 Oct → | ||
| 19–15 | 0.06 | 18% | 27 Oct → | ||
| 9–13 | -0.02 | 12% | 22 Oct → | ||
| 13–7 | 0.05 | 23% | 22 Oct → | ||
| 13–6 | 0.02 | 10% | 20 Oct → | ||
| 13–7 | 0.03 | 14% | 16 Oct → | ||
| 13–10 | -0.01 | 15% | 15 Oct → | ||
| 13–10 | -0.01 | 7% | 13 Oct → | ||
| 13–6 | -0.01 | 13% | 12 Oct → | ||
| 11–13 | 0.00 | 12% | 8 Oct → | ||
| 8–12 | 0.02 | 14% | 7 Oct → | ||
| 13–9 | 0.02 | 22% | 6 Oct → | ||
| 13–8 | 0.11 | 19% | 5 Oct → | ||
| 5–13 | -0.08 | 10% | 4 Oct → | ||
| 6–13 | 0.02 | 13% | 4 Oct → |
Match data via Leetify.
Recent teammates
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