. — CS2 Stats
76561199002535242[U:1:1042269514]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
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 device 84% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: higher 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
Strengths
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 86 — grenade impact well above the norm.
Areas to improve
Reaction time. 606ms 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 5.4/10 (Developing), 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 | 69 | 35–34 | 51% | 0.03 | |
| B | 15 | 7–8 | 47% | 0.02 | |
| golden | S | 10 | 8–2 | 80% | 0.05 |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 2 | 0–2 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 31 | 61% | 1.05 | 14.4 |
| Dust2 | 16 | 62% | 1.37 | 16.4 |
| Ancient | 14 | 50% | 0.84 | 12.2 |
| Inferno | 14 | 43% | 1.17 | 15.9 |
| Nuke | 11 | 36% | 0.91 | 16.1 |
| Vertigo | 6 | 17% | 0.72 | 11.8 |
| Anubis | 5 | 0% | 0.82 | 15.4 |
| Train | 4 | 75% | 0.95 | 13.3 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.1627° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.7883% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | 0.11 | 9% | 18 Feb → | ||
| 5–13 | -0.01 | 18% | 18 Feb → | ||
| 13–8 | 0.14 | 20% | 15 Feb → | ||
| 13–9 | 0.09 | 18% | 15 Feb → | ||
| 11–13 | -0.02 | 9% | 15 Feb → | ||
| 13–9 | -0.01 | 10% | 15 Feb → | ||
| 13–8 | 0.03 | 13% | 15 Feb → | ||
| 10–13 | 0.01 | 10% | 15 Feb → | ||
| 7–4 | 0.12 | 29% | 12 Feb → | ||
| 2–13 | 0.03 | 10% | 12 Feb → | ||
| 13–8 | -0.05 | 8% | 8 Feb → | ||
| 13–3 | 0.04 | 14% | 8 Feb → | ||
| 3–11 | 0.04 | 29% | 8 Feb → | ||
| 12–12 | 0.01 | 8% | 5 Feb → | ||
| 7–13 | 0.06 | 12% | 5 Feb → | ||
| 13–7 | 0.02 | 10% | 5 Feb → | ||
| 13–11 | 0.00 | 12% | 1 Feb → | ||
| 13–7 | 0.12 | 8% | 1 Feb → | ||
| 13–9 | -0.01 | 11% | 1 Feb → | ||
| 13–3 | 0.20 | 9% | 1 Feb → | ||
| 10–13 | 0.01 | 18% | 1 Feb → | ||
| 4–13 | -0.05 | 18% | 1 Feb → | ||
| 13–11 | 0.05 | 15% | 28 Jan → | ||
| 13–7 | 0.06 | 20% | 28 Jan → | ||
| 12–16 | -0.03 | 19% | 25 Jan → | ||
| 8–13 | 0.01 | 11% | 25 Jan → | ||
| 10–13 | 0.00 | 13% | 25 Jan → | ||
| 13–9 | -0.04 | 16% | 24 Jan → | ||
| 5–13 | -0.01 | 22% | 24 Jan → | ||
| 4–13 | 0.00 | 17% | 24 Jan → | ||
| 12–12 | 0.17 | 14% | 24 Jan → | ||
| 12–12 | -0.00 | 11% | 22 Jan → | ||
| 13–9 | 0.07 | 13% | 22 Jan → | ||
| 13–9 | 0.05 | 10% | 21 Jan → | ||
| 13–10 | 0.12 | 12% | 21 Jan → | ||
| 13–7 | 0.05 | 16% | 20 Jan → | ||
| 13–4 | 0.10 | 24% | 20 Jan → | ||
| 3–5 | 0.04 | 27% | 18 Jan → | ||
| 13–2 | -0.09 | 14% | 18 Jan → | ||
| 7–13 | -0.05 | 11% | 18 Jan → | ||
| 11–13 | -0.03 | 16% | 16 Jan → | ||
| 9–13 | 0.05 | 13% | 15 Jan → | ||
| 13–6 | 0.09 | 12% | 15 Jan → | ||
| 12–12 | 0.04 | 7% | 14 Jan → | ||
| 13–8 | 0.16 | 10% | 14 Jan → | ||
| 8–13 | 0.06 | 10% | 11 Jan → | ||
| 13–10 | 0.09 | 11% | 8 Jan → | ||
| golden | 2–13 | -0.01 | 10% | 8 Jan → | |
| golden | 13–2 | 0.03 | 8% | 7 Jan → | |
| golden | 13–9 | -0.03 | 8% | 7 Jan → | |
| 13–10 | 0.10 | 12% | 4 Jan → | ||
| golden | 13–7 | 0.05 | 14% | 4 Jan → | |
| golden | 13–6 | 0.11 | 25% | 4 Jan → | |
| golden | 13–5 | 0.11 | 15% | 1 Jan → | |
| golden | 13–6 | 0.13 | 3% | 1 Jan → | |
| 13–1 | 0.04 | 8% | 31 Dec → | ||
| 13–11 | 0.02 | 12% | 31 Dec → | ||
| 7–13 | -0.02 | 11% | 31 Dec → | ||
| 5–13 | -0.03 | 16% | 28 Dec → | ||
| golden | 13–6 | 0.01 | 12% | 28 Dec → | |
| golden | 13–8 | 0.02 | 9% | 28 Dec → | |
| golden | 11–13 | 0.03 | 3% | 28 Dec → | |
| 12–12 | -0.01 | 10% | 14 Dec → | ||
| 10–13 | 0.02 | 9% | 7 Dec → | ||
| 9–13 | -0.03 | 14% | 29 Nov → | ||
| 13–10 | -0.01 | 7% | 29 Nov → | ||
| 13–8 | 0.13 | 6% | 27 Nov → | ||
| 11–13 | 0.02 | 9% | 26 Nov → | ||
| 9–13 | 0.04 | 14% | 25 Nov → | ||
| 12–12 | 0.04 | 13% | 23 Nov → | ||
| 13–16 | -0.02 | 7% | 19 Oct → | ||
| 13–9 | 0.03 | 16% | 19 Oct → | ||
| 12–12 | -0.06 | 16% | 19 Oct → | ||
| 2–13 | -0.04 | 6% | 19 Oct → | ||
| 1–13 | -0.07 | 10% | 19 Oct → | ||
| 13–8 | -0.00 | 15% | 18 Oct → | ||
| 13–11 | -0.03 | 7% | 18 Oct → | ||
| 13–9 | 0.02 | 6% | 18 Oct → | ||
| 7–13 | 0.02 | 8% | 18 Oct → | ||
| 13–11 | 0.04 | 10% | 18 Oct → | ||
| 10–13 | 0.01 | 22% | 17 Oct → | ||
| 12–16 | -0.03 | 3% | 17 Oct → | ||
| 2–13 | 0.01 | 9% | 17 Oct → | ||
| 0–3 | -0.07 | 0% | 17 Oct → | ||
| 13–8 | -0.01 | 16% | 17 Oct → | ||
| 12–12 | 0.12 | 13% | 17 Oct → | ||
| 11–13 | -0.01 | 7% | 17 Oct → | ||
| 13–11 | 0.03 | 11% | 17 Oct → | ||
| 13–6 | 0.03 | 6% | 16 Oct → | ||
| 10–13 | 0.02 | 13% | 16 Oct → | ||
| 7–13 | 0.04 | 10% | 16 Oct → | ||
| 9–13 | -0.07 | 13% | 16 Oct → | ||
| 13–4 | 0.01 | 24% | 16 Oct → | ||
| 5–13 | -0.04 | 15% | 16 Oct → | ||
| 13–5 | 0.04 | 6% | 16 Oct → | ||
| 13–8 | 0.02 | 10% | 16 Oct → | ||
| 10–13 | 0.09 | 14% | 16 Oct → | ||
| 13–4 | 0.02 | 14% | 15 Oct → | ||
| 7–13 | -0.07 | 0% | 15 Oct → | ||
| 2–0 | 0.00 | 0% | 15 Oct → |
Match data via Leetify.