Smokes — CS2 Stats
76561199142318741[U:1:1182053013]Steam profile ↗✓ No bans
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 | 53.7% | 52.8% |
| Shot accuracy | 7.7% | 13.7% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 49.6% | 49.2% |
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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.
Excellent 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 91% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
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. 623ms 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 6.7/10 (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 | 32 | 19–13 | 59% | 0.00 | |
| B | 17 | 9–8 | 53% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 9 | 6–3 | 67% | 0.02 | |
| B | 8 | 4–4 | 50% | -0.02 | |
| C | 8 | 3–5 | 38% | 0.02 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| C | 5 | 2–3 | 40% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 88 | 57% | 1.18 | 16.1 |
| Anubis | 57 | 54% | 1.08 | 16.5 |
| Inferno | 51 | 51% | 1.14 | 15.5 |
| Dust2 | 40 | 50% | 1.07 | 16.4 |
| Ancient | 25 | 64% | 1.11 | 14.7 |
| Train | 13 | 62% | 1.07 | 14.5 |
| Nuke | 12 | 42% | 0.74 | 11.8 |
| Vertigo | 11 | 73% | 1.15 | 16.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4313 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 37.2249% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 16–14 | -0.01 | 24% | 10 Jul → | ||
| 13–4 | -0.04 | 23% | 10 Jul → | ||
| 13–6 | -0.02 | 7% | 10 Jul → | ||
| 5–13 | 0.04 | 25% | 9 Jul → | ||
| 13–3 | 0.04 | 28% | 9 Jul → | ||
| 8–13 | -0.05 | 36% | 9 Jul → | ||
| 13–4 | 0.11 | 21% | 8 Jul → | ||
| 3–12 | 0.03 | 31% | 8 Jul → | ||
| 13–10 | -0.02 | 8% | 7 Jul → | ||
| 11–13 | 0.02 | 26% | 6 Jul → | ||
| 13–16 | 0.00 | 20% | 6 Jul → | ||
| 4–13 | -0.03 | 32% | 6 Jul → | ||
| 13–10 | 0.01 | 11% | 5 Jul → | ||
| 13–10 | 0.02 | 18% | 5 Jul → | ||
| 5–13 | -0.03 | 26% | 5 Jul → | ||
| 13–7 | 0.05 | 39% | 5 Jul → | ||
| 13–3 | 0.03 | 13% | 4 Jul → | ||
| 11–13 | -0.01 | 23% | 4 Jul → | ||
| 10–13 | 0.04 | 19% | 4 Jul → | ||
| 13–7 | 0.13 | 28% | 3 Jul → | ||
| 13–9 | -0.03 | 18% | 3 Jul → | ||
| 15–15 | -0.05 | 26% | 3 Jul → | ||
| 13–11 | 0.02 | 31% | 3 Jul → | ||
| 13–8 | 0.03 | 31% | 3 Jul → | ||
| 10–13 | -0.06 | 26% | 2 Jul → | ||
| 8–13 | -0.05 | 30% | 2 Jul → | ||
| 13–4 | 0.05 | 20% | 2 Jul → | ||
| 13–9 | 0.01 | 17% | 1 Jul → | ||
| 13–6 | 0.07 | 24% | 1 Jul → | ||
| 14–16 | 0.02 | 22% | 1 Jul → | ||
| 10–13 | 0.05 | 24% | 30 Jun → | ||
| 13–5 | 0.09 | 23% | 30 Jun → | ||
| 13–16 | -0.05 | 14% | 27 Jun → | ||
| 9–13 | -0.03 | 26% | 27 Jun → | ||
| 13–4 | 0.09 | 11% | 27 Jun → | ||
| 13–9 | 0.06 | 17% | 27 Jun → | ||
| 13–11 | -0.01 | 21% | 25 Jun → | ||
| 9–13 | -0.01 | 10% | 25 Jun → | ||
| 13–5 | 0.02 | 26% | 25 Jun → | ||
| 2–13 | -0.07 | 16% | 25 Jun → | ||
| 1–4 | -0.10 | 0% | 25 Jun → | ||
| 13–9 | 0.07 | 25% | 24 Jun → | ||
| 13–4 | 0.10 | 38% | 23 Jun → | ||
| 13–11 | -0.01 | 13% | 23 Jun → | ||
| 13–7 | 0.02 | 22% | 23 Jun → | ||
| 13–10 | -0.03 | 17% | 22 Jun → | ||
| 9–13 | 0.05 | 16% | 22 Jun → | ||
| 13–1 | 0.01 | 100% | 22 Jun → | ||
| 13–5 | -0.02 | 8% | 18 Jun → | ||
| 8–13 | -0.07 | 18% | 18 Jun → | ||
| 6–13 | 0.01 | 23% | 17 Jun → | ||
| 13–8 | 0.00 | 24% | 17 Jun → | ||
| 4–13 | -0.01 | 22% | 16 Jun → | ||
| 16–13 | 0.00 | 15% | 13 Jun → | ||
| 12–16 | -0.00 | 27% | 13 Jun → | ||
| 16–13 | 0.05 | 18% | 10 Jun → | ||
| 13–10 | 0.10 | 16% | 5 Jun → | ||
| 7–13 | -0.03 | 17% | 2 Jun → | ||
| 13–9 | 0.04 | 17% | 31 May → | ||
| 13–5 | 0.05 | 17% | 30 May → | ||
| 4–13 | -0.05 | 24% | 30 May → | ||
| 2–13 | -0.04 | 16% | 30 May → | ||
| 13–6 | -0.05 | 19% | 30 May → | ||
| 13–7 | 0.04 | 26% | 30 May → | ||
| 9–13 | -0.07 | 22% | 29 May → | ||
| 13–2 | 0.02 | 40% | 29 May → | ||
| 5–13 | -0.04 | 23% | 29 May → | ||
| 10–13 | 0.01 | 21% | 28 May → | ||
| 13–4 | -0.01 | 30% | 28 May → | ||
| 13–9 | 0.12 | 31% | 27 May → | ||
| 16–14 | 0.11 | 26% | 27 May → | ||
| 9–13 | 0.06 | 19% | 26 May → | ||
| 9–13 | 0.02 | 23% | 26 May → | ||
| 13–4 | 0.04 | 42% | 26 May → | ||
| 10–13 | -0.03 | 31% | 2 May → | ||
| 13–2 | 0.08 | 22% | 2 May → | ||
| 3–13 | 0.02 | 13% | 21 Apr → | ||
| 3–2 | -0.01 | 18% | 21 Apr → | ||
| 10–13 | 0.03 | 31% | 31 Mar → | ||
| 11–13 | -0.04 | 38% | 31 Mar → | ||
| 10–13 | -0.00 | 36% | 31 Mar → | ||
| 14–16 | -0.00 | 22% | 27 Mar → | ||
| 11–13 | -0.02 | 22% | 27 Mar → | ||
| 13–10 | 0.00 | 20% | 27 Mar → | ||
| 10–13 | -0.04 | 17% | 20 Mar → | ||
| 13–16 | -0.10 | 19% | 20 Mar → | ||
| 11–13 | -0.00 | 11% | 15 Feb → | ||
| 13–9 | -0.07 | 14% | 15 Feb → | ||
| 9–13 | -0.09 | 4% | 15 Feb → | ||
| 10–13 | -0.03 | 17% | 13 Feb → | ||
| 13–4 | 0.03 | 17% | 13 Feb → | ||
| 13–11 | 0.06 | 20% | 13 Feb → | ||
| 4–13 | 0.07 | 8% | 13 Feb → | ||
| 13–6 | 0.04 | 16% | 12 Feb → | ||
| 6–13 | 0.04 | 22% | 12 Feb → | ||
| 13–6 | -0.05 | 28% | 11 Feb → | ||
| 16–13 | 0.01 | 21% | 7 Feb → | ||
| 13–8 | 0.04 | 31% | 6 Feb → | ||
| 13–9 | 0.09 | 20% | 5 Feb → | ||
| 8–13 | 0.02 | 10% | 4 Feb → |
Match data via Leetify.