dw0n — CS2 Stats
76561199274782015[U:1:1314516287]
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 | 52.1% | 52.8% |
| Shot accuracy | 5.5% | 13.7% |
| Kill/death ratio | 1.16 | 1.08 |
| Match win rate | 49.1% | 49.2% |
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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.
Sharp aimer
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 96% playstyle similarity
Most alike: utility contribution, positioning 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
Strengths
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Reaction time. 583ms 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 7.4/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 30 | 15–15 | 50% | 0.02 | |
| B | 24 | 13–11 | 54% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| C | 11 | 4–7 | 36% | -0.01 | |
| D | 9 | 2–7 | 22% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.03 | |
| — | 3 | 2–1 | 67% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 378 | 53% | 1.17 | 17.2 |
| Dust2 | 259 | 49% | 1.13 | 16.8 |
| Ancient | 177 | 51% | 1.04 | 15.8 |
| Anubis | 91 | 59% | 1.19 | 17.8 |
| Nuke | 81 | 43% | 1.00 | 16.0 |
| Inferno | 68 | 50% | 1.07 | 16.1 |
| Overpass | 33 | 36% | 1.16 | 15.6 |
| Train | 30 | 47% | 1.26 | 18.5 |
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 35.4241% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | 0.02 | 23% | 26 Aug → | ||
| 5–13 | 0.07 | 38% | 25 Aug → | ||
| 13–4 | 0.06 | 12% | 25 Aug → | ||
| 13–11 | 0.00 | 28% | 20 Aug → | ||
| 16–19 | 0.01 | 22% | 17 Aug → | ||
| 6–13 | -0.06 | 26% | 17 Aug → | ||
| 11–13 | 0.02 | 29% | 14 Aug → | ||
| 13–5 | -0.03 | 55% | 11 Aug → | ||
| 9–13 | -0.03 | 33% | 30 Jul → | ||
| 13–11 | -0.03 | 37% | 29 Jul → | ||
| 13–11 | 0.06 | 20% | 29 Jul → | ||
| 13–9 | 0.03 | 20% | 29 Jul → | ||
| 13–11 | -0.01 | 20% | 29 Jul → | ||
| 13–3 | 0.05 | 21% | 29 Jul → | ||
| 11–13 | -0.03 | 26% | 28 Jul → | ||
| 13–8 | -0.06 | 30% | 27 Jul → | ||
| 13–1 | 0.03 | 62% | 27 Jul → | ||
| 13–5 | 0.06 | 46% | 26 Jul → | ||
| 5–13 | 0.03 | 26% | 26 Jul → | ||
| 15–15 | 0.10 | 19% | 25 Jul → | ||
| 16–14 | 0.06 | 23% | 25 Jul → | ||
| 8–13 | 0.05 | 22% | 25 Jul → | ||
| 3–13 | -0.07 | 8% | 3 Jul → | ||
| 10–3 | -0.02 | 24% | 3 Jul → | ||
| 16–12 | 0.04 | 50% | 13 Jun → | ||
| 6–13 | 0.01 | 13% | 22 May → | ||
| 13–5 | 0.06 | 30% | 7 May → | ||
| 6–13 | -0.01 | 24% | 5 May → | ||
| 16–13 | -0.00 | 25% | 4 May → | ||
| 2–13 | -0.02 | 21% | 28 Apr → | ||
| 13–8 | -0.05 | 17% | 28 Apr → | ||
| 13–7 | -0.02 | 14% | 27 Apr → | ||
| 9–13 | 0.01 | 18% | 27 Apr → | ||
| 13–7 | -0.02 | 34% | 23 Apr → | ||
| 9–13 | -0.04 | 18% | 23 Apr → | ||
| 13–10 | -0.00 | 33% | 22 Apr → | ||
| 13–9 | 0.05 | 20% | 17 Apr → | ||
| 13–11 | -0.04 | 21% | 16 Apr → | ||
| 13–1 | 0.02 | 27% | 16 Apr → | ||
| 2–13 | -0.03 | 20% | 9 Apr → | ||
| 12–16 | 0.03 | 15% | 5 Apr → | ||
| 5–13 | -0.04 | 18% | 5 Apr → | ||
| 13–10 | 0.10 | 16% | 4 Apr → | ||
| 8–13 | 0.05 | 22% | 4 Apr → | ||
| 13–9 | -0.01 | 19% | 4 Apr → | ||
| 13–4 | 0.02 | 30% | 3 Apr → | ||
| 11–13 | -0.03 | 32% | 1 Apr → | ||
| 13–11 | 0.01 | 28% | 31 Mar → | ||
| 8–13 | -0.01 | 19% | 30 Mar → | ||
| 10–13 | 0.03 | 31% | 24 Mar → | ||
| 7–13 | -0.03 | 16% | 22 Mar → | ||
| 13–6 | -0.06 | 14% | 20 Mar → | ||
| 9–13 | 0.03 | 25% | 17 Mar → | ||
| 11–13 | -0.01 | 26% | 11 Mar → | ||
| 10–13 | 0.00 | 27% | 9 Mar → | ||
| 17–19 | 0.00 | 30% | 22 Feb → | ||
| 13–6 | 0.04 | 25% | 20 Feb → | ||
| 13–4 | 0.05 | 18% | 12 Feb → | ||
| 15–15 | 0.03 | 13% | 12 Feb → | ||
| 13–4 | 0.11 | 35% | 9 Feb → | ||
| 16–13 | 0.09 | 25% | 9 Feb → | ||
| 1–13 | -0.08 | 53% | 8 Feb → | ||
| 6–13 | -0.01 | 36% | 8 Feb → | ||
| 9–13 | -0.01 | 24% | 8 Feb → | ||
| 10–13 | 0.01 | 20% | 7 Feb → | ||
| 7–13 | -0.05 | 18% | 7 Feb → | ||
| 7–13 | -0.07 | 30% | 6 Feb → | ||
| 9–13 | 0.00 | 23% | 6 Feb → | ||
| 10–13 | 0.01 | 30% | 4 Feb → | ||
| 16–13 | 0.03 | 17% | 4 Feb → | ||
| 15–15 | -0.01 | 21% | 4 Feb → | ||
| 15–15 | 0.02 | 17% | 4 Feb → | ||
| 13–9 | 0.06 | 29% | 4 Feb → | ||
| 13–9 | 0.05 | 23% | 3 Feb → | ||
| 9–1 | 0.06 | 41% | 2 Feb → | ||
| 8–13 | -0.01 | 33% | 2 Feb → | ||
| 3–13 | -0.04 | 33% | 2 Feb → | ||
| 13–3 | 0.09 | 11% | 2 Feb → | ||
| 11–13 | 0.03 | 13% | 2 Feb → | ||
| 9–13 | -0.02 | 25% | 2 Feb → | ||
| 13–8 | 0.08 | 23% | 2 Feb → | ||
| 9–13 | 0.02 | 25% | 30 Jan → | ||
| 9–13 | 0.08 | 29% | 30 Jan → | ||
| 8–13 | 0.03 | 18% | 28 Jan → | ||
| 16–13 | 0.04 | 36% | 28 Jan → | ||
| 13–6 | 0.04 | 34% | 27 Jan → | ||
| 13–10 | 0.07 | 20% | 25 Jan → | ||
| 13–6 | -0.01 | 30% | 25 Jan → | ||
| 13–7 | 0.06 | 24% | 25 Jan → | ||
| 11–13 | 0.01 | 19% | 25 Jan → | ||
| 10–13 | -0.04 | 14% | 24 Jan → | ||
| 7–13 | 0.09 | 16% | 24 Jan → | ||
| 13–9 | 0.05 | 15% | 24 Jan → | ||
| 13–7 | -0.01 | 26% | 24 Jan → | ||
| 13–16 | 0.01 | 22% | 23 Jan → | ||
| 13–5 | -0.01 | 17% | 23 Jan → | ||
| 10–13 | -0.01 | 15% | 22 Jan → | ||
| 13–11 | 0.00 | 30% | 20 Jan → | ||
| 16–12 | 0.01 | 30% | 19 Jan → | ||
| 8–13 | -0.05 | 9% | 18 Jan → |
Match data via Leetify.