— CS2 Stats
76561199395295846[U:1:1435030118]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited utility dependence
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 88% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 604ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
| A | 52 | 31–21 | 60% | -0.00 | |
| A | 19 | 11–8 | 58% | 0.00 | |
| S | 8 | 8–0 | 100% | 0.04 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| S | 6 | 4–2 | 67% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.01 | |
| — | 2 | 1–1 | 50% | -0.04 | |
| — | 1 | 0–1 | 0% | 0.02 | |
| cache_b | — | 1 | 0–1 | 0% | -0.05 |
| office | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (58% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 24 | 62% | 1.09 | 13.5 |
| Inferno | 11 | 55% | 1.00 | 16.3 |
| Vertigo | 8 | 75% | 2.48 | 12.4 |
| Ancient | 6 | 33% | 0.79 | 11.7 |
| Nuke | 5 | 60% | 1.68 | 15.8 |
| Overpass | 4 | 75% | 1.97 | 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.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.8812 — below the 4 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.04 | 38% | 22 Aug → | ||
| 10–7 | 0.00 | 27% | 16 Aug → | ||
| 11–13 | 0.00 | 26% | 15 Aug → | ||
| 13–6 | -0.00 | 17% | 8 Aug → | ||
| 9–0 | 0.25 | 44% | 8 Aug → | ||
| 13–4 | -0.00 | 26% | 7 Jun → | ||
| 4–9 | -0.16 | 29% | 6 Jun → | ||
| 13–4 | -0.04 | 23% | 2 Jun → | ||
| 13–11 | 0.02 | 28% | 1 Jun → | ||
| 3–13 | -0.09 | 23% | 1 Jun → | ||
| 4–9 | 0.01 | 17% | 31 May → | ||
| 0–13 | -0.05 | 21% | 16 May → | ||
| 6–13 | 0.03 | 57% | 10 May → | ||
| 13–5 | 0.03 | 20% | 23 Apr → | ||
| 2–13 | -0.05 | 20% | 19 Apr → | ||
| 11–13 | 0.03 | 18% | 19 Apr → | ||
| 13–9 | 0.02 | 16% | 19 Apr → | ||
| 13–11 | -0.03 | 27% | 16 Apr → | ||
| 13–8 | 0.03 | 31% | 16 Apr → | ||
| 13–11 | 0.02 | 16% | 5 Apr → | ||
| 16–13 | -0.01 | 16% | 5 Apr → | ||
| 7–13 | -0.00 | 18% | 5 Apr → | ||
| 3–13 | -0.03 | 29% | 5 Apr → | ||
| 19–16 | -0.04 | 24% | 5 Apr → | ||
| 13–6 | 0.05 | 23% | 5 Apr → | ||
| 10–13 | 0.02 | 26% | 5 Apr → | ||
| 13–7 | -0.03 | 23% | 5 Apr → | ||
| 13–3 | -0.01 | 16% | 5 Apr → | ||
| 13–5 | -0.01 | 20% | 5 Apr → | ||
| 13–10 | 0.01 | 21% | 5 Apr → | ||
| 2–13 | -0.04 | 24% | 4 Apr → | ||
| 13–11 | -0.06 | 22% | 4 Apr → | ||
| 13–7 | -0.02 | 27% | 4 Apr → | ||
| 16–12 | -0.02 | 21% | 4 Apr → | ||
| 13–7 | -0.03 | 17% | 4 Apr → | ||
| 11–13 | -0.03 | 25% | 3 Apr → | ||
| 9–13 | -0.02 | 18% | 31 Mar → | ||
| 13–4 | 0.14 | 30% | 31 Mar → | ||
| 4–13 | -0.02 | 31% | 31 Mar → | ||
| 0–13 | -0.04 | 9% | 30 Mar → | ||
| 7–13 | -0.03 | 18% | 30 Mar → | ||
| 13–6 | 0.03 | 19% | 30 Mar → | ||
| 13–8 | 0.05 | 26% | 29 Mar → | ||
| 13–8 | -0.01 | 18% | 29 Mar → | ||
| 13–6 | -0.01 | 22% | 29 Mar → | ||
| 13–10 | -0.03 | 18% | 29 Mar → | ||
| cache_b | 6–13 | -0.05 | 17% | 26 Mar → | |
| 13–7 | 0.01 | 26% | 26 Mar → | ||
| 8–8 | 0.01 | 21% | 22 Mar → | ||
| 13–16 | 0.00 | 24% | 21 Mar → | ||
| 13–3 | 0.04 | 27% | 15 Mar → | ||
| 6–13 | -0.07 | 22% | 15 Mar → | ||
| 15–15 | -0.07 | 21% | 15 Mar → | ||
| 9–0 | 0.06 | 80% | 14 Mar → | ||
| 9–2 | 0.04 | 30% | 14 Mar → | ||
| 5–13 | 0.07 | 23% | 14 Mar → | ||
| 13–11 | 0.00 | 36% | 14 Mar → | ||
| 5–13 | -0.06 | 22% | 10 Mar → | ||
| 13–10 | -0.03 | 32% | 10 Mar → | ||
| 9–0 | 0.08 | 14% | 8 Mar → | ||
| 13–4 | -0.03 | 25% | 8 Mar → | ||
| 13–0 | 0.05 | 33% | 8 Mar → | ||
| 13–6 | -0.08 | 33% | 8 Mar → | ||
| 13–0 | -0.01 | 26% | 8 Mar → | ||
| 12–16 | -0.02 | 18% | 7 Mar → | ||
| 10–13 | -0.00 | 29% | 7 Mar → | ||
| 10–1 | -0.00 | 29% | 6 Mar → | ||
| 13–4 | 0.04 | 44% | 4 Mar → | ||
| 13–6 | 0.01 | 33% | 3 Mar → | ||
| 0–13 | -0.07 | 26% | 1 Mar → | ||
| 13–9 | 0.01 | 29% | 1 Mar → | ||
| 9–3 | 0.11 | 61% | 28 Feb → | ||
| 8–13 | 0.01 | 22% | 28 Feb → | ||
| 13–10 | -0.02 | 47% | 21 Feb → | ||
| 13–6 | -0.02 | 50% | 21 Feb → | ||
| 7–9 | 0.01 | 21% | 21 Feb → | ||
| 7–13 | -0.02 | 27% | 20 Feb → | ||
| 13–9 | 0.04 | 33% | 15 Feb → | ||
| 13–9 | -0.01 | 32% | 15 Feb → | ||
| 13–8 | -0.01 | 13% | 14 Feb → | ||
| 13–6 | 0.09 | 19% | 14 Feb → | ||
| 13–6 | 0.07 | 22% | 14 Feb → | ||
| 15–15 | -0.03 | 20% | 8 Feb → | ||
| 13–8 | 0.06 | 17% | 7 Feb → | ||
| 13–9 | 0.04 | 21% | 5 Feb → | ||
| 13–3 | 0.03 | 20% | 5 Feb → | ||
| 13–7 | 0.06 | 31% | 5 Feb → | ||
| office | 13–8 | -0.01 | 37% | 3 Feb → | |
| 13–7 | 0.04 | 20% | 3 Feb → | ||
| 12–16 | 0.06 | 32% | 2 Feb → | ||
| 1–13 | -0.07 | 23% | 1 Feb → | ||
| 13–0 | 0.02 | 31% | 1 Feb → | ||
| 13–9 | 0.08 | 30% | 1 Feb → | ||
| 13–3 | 0.03 | 43% | 1 Feb → | ||
| 13–10 | 0.01 | 45% | 31 Jan → | ||
| 13–10 | -0.03 | 38% | 30 Jan → | ||
| 2–6 | -0.03 | 38% | 30 Jan → | ||
| 3–13 | -0.09 | 15% | 30 Jan → | ||
| 9–13 | -0.01 | 16% | 26 Jan → | ||
| 13–11 | 0.06 | 16% | 26 Jan → |
Match data via Leetify.