the stars under the sun — CS2 Stats
76561199814795312[U:1:1854529584]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 ropz 92% playstyle similarity
Most alike: positioning profile, 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 41 | 25–16 | 61% | 0.02 | |
| B | 13 | 6–7 | 46% | -0.00 | |
| S | 12 | 8–4 | 67% | 0.03 | |
| S | 11 | 8–3 | 73% | 0.04 | |
| S | 9 | 6–3 | 67% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.08 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 1 | 1–0 | 100% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 102 | 53% | 1.18 | 18.3 |
| Anubis | 51 | 53% | 1.37 | 18.4 |
| Ancient | 51 | 55% | 1.19 | 18.0 |
| Dust2 | 27 | 48% | 1.27 | 21.1 |
| Inferno | 24 | 54% | 1.28 | 20.7 |
| Cache | 18 | 50% | 1.26 | 19.4 |
| Nuke | 17 | 41% | 1.03 | 15.5 |
| Overpass | 6 | 33% | 0.99 | 12.3 |
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 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 39.0117% — 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.
46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.03 | 33% | 15 Jun → | ||
| 8–13 | 0.01 | 50% | 15 Jun → | ||
| 13–10 | 0.10 | 38% | 14 Jun → | ||
| 8–13 | -0.03 | 31% | 13 Jun → | ||
| 7–13 | -0.05 | 18% | 13 Jun → | ||
| 13–2 | -0.01 | 31% | 12 Jun → | ||
| 13–6 | -0.03 | 28% | 11 Jun → | ||
| 13–6 | -0.00 | 21% | 10 Jun → | ||
| 7–13 | -0.03 | 15% | 3 Jun → | ||
| 8–13 | 0.01 | 20% | 2 Jun → | ||
| 16–13 | 0.04 | 26% | 31 May → | ||
| 13–10 | 0.03 | 26% | 31 May → | ||
| 13–7 | 0.00 | 27% | 30 May → | ||
| 13–6 | -0.05 | 39% | 30 May → | ||
| 11–13 | -0.04 | 22% | 30 May → | ||
| 13–7 | 0.03 | 31% | 30 May → | ||
| 14–16 | -0.02 | 23% | 29 May → | ||
| 13–6 | 0.17 | 37% | 29 May → | ||
| 11–13 | 0.04 | 24% | 28 May → | ||
| 13–9 | 0.06 | 23% | 27 May → | ||
| 13–9 | -0.01 | 33% | 27 May → | ||
| 9–13 | -0.02 | 29% | 26 May → | ||
| 13–10 | 0.07 | 14% | 26 May → | ||
| 10–13 | -0.04 | 15% | 26 May → | ||
| 13–10 | -0.00 | 8% | 25 May → | ||
| 13–5 | 0.06 | 43% | 25 May → | ||
| 10–13 | 0.00 | 32% | 25 May → | ||
| 16–14 | 0.10 | 29% | 24 May → | ||
| 13–9 | 0.00 | 36% | 23 May → | ||
| 14–16 | -0.04 | 29% | 22 May → | ||
| 4–13 | -0.07 | 25% | 22 May → | ||
| 15–15 | 0.02 | 35% | 22 May → | ||
| 13–3 | 0.17 | 34% | 22 May → | ||
| 11–13 | 0.09 | 42% | 22 May → | ||
| 13–7 | 0.07 | 32% | 21 May → | ||
| 8–13 | -0.02 | 22% | 21 May → | ||
| 13–2 | 0.10 | 39% | 21 May → | ||
| 13–10 | 0.10 | 33% | 21 May → | ||
| 13–7 | 0.21 | 35% | 21 May → | ||
| 13–11 | 0.07 | 35% | 20 May → | ||
| 13–2 | 0.18 | 31% | 20 May → | ||
| 1–13 | -0.01 | 35% | 18 May → | ||
| 13–8 | 0.01 | 24% | 17 May → | ||
| 13–6 | 0.06 | 39% | 17 May → | ||
| 9–13 | -0.00 | 26% | 17 May → | ||
| 14–16 | -0.01 | 30% | 16 May → | ||
| 22–25 | -0.03 | 24% | 16 May → | ||
| 13–4 | 0.05 | 29% | 16 May → | ||
| 13–11 | -0.01 | 31% | 15 May → | ||
| 13–7 | -0.06 | 28% | 15 May → | ||
| 13–8 | -0.01 | 33% | 15 May → | ||
| 13–8 | 0.21 | 35% | 15 May → | ||
| 13–11 | 0.03 | 21% | 15 May → | ||
| 13–3 | -0.01 | 10% | 13 May → | ||
| 8–13 | 0.05 | 37% | 13 May → | ||
| 13–7 | 0.10 | 36% | 13 May → | ||
| 5–13 | -0.04 | 30% | 13 May → | ||
| 16–14 | 0.02 | 22% | 12 May → | ||
| 13–11 | 0.02 | 18% | 12 May → | ||
| 16–14 | 0.04 | 26% | 12 May → | ||
| 5–13 | -0.03 | 27% | 12 May → | ||
| 4–13 | -0.08 | 38% | 11 May → | ||
| 8–13 | 0.01 | 26% | 11 May → | ||
| 13–5 | 0.11 | 28% | 11 May → | ||
| 16–19 | -0.07 | 13% | 11 May → | ||
| 16–13 | 0.03 | 21% | 10 May → | ||
| 11–13 | 0.02 | 22% | 10 May → | ||
| 13–6 | -0.02 | 30% | 10 May → | ||
| 10–13 | 0.08 | 28% | 10 May → | ||
| 7–13 | 0.02 | 24% | 10 May → | ||
| 13–8 | 0.04 | 18% | 10 May → | ||
| 7–13 | -0.02 | 17% | 9 May → | ||
| 13–9 | -0.03 | 23% | 9 May → | ||
| 13–10 | -0.01 | 27% | 9 May → | ||
| 9–13 | 0.08 | 32% | 9 May → | ||
| 22–19 | 0.03 | 24% | 9 May → | ||
| 13–7 | 0.05 | 27% | 9 May → | ||
| 13–10 | 0.00 | 23% | 8 May → | ||
| 19–17 | 0.04 | 17% | 8 May → | ||
| 13–8 | 0.04 | 15% | 7 May → | ||
| 13–2 | 0.05 | 23% | 7 May → | ||
| 11–13 | 0.01 | 39% | 7 May → | ||
| 10–13 | -0.05 | 17% | 7 May → | ||
| 13–7 | 0.02 | 36% | 6 May → | ||
| 13–8 | 0.04 | 38% | 6 May → | ||
| 13–5 | -0.05 | 11% | 6 May → | ||
| 11–13 | 0.01 | 38% | 6 May → | ||
| 16–12 | -0.01 | 19% | 6 May → | ||
| 13–6 | 0.11 | 28% | 6 May → | ||
| 13–7 | 0.03 | 40% | 5 May → | ||
| 14–16 | 0.02 | 28% | 4 May → | ||
| 13–11 | -0.02 | 17% | 4 May → | ||
| 16–12 | 0.06 | 34% | 4 May → | ||
| 10–13 | -0.01 | 19% | 4 May → | ||
| 4–13 | 0.00 | 29% | 4 May → | ||
| 13–10 | 0.02 | 33% | 3 May → | ||
| 13–7 | -0.03 | 14% | 3 May → | ||
| 20–22 | -0.03 | 24% | 3 May → | ||
| 13–10 | 0.01 | 29% | 2 May → | ||
| 13–11 | 0.08 | 23% | 2 May → |
Match data via Leetify.