N0tify | twitch.tv/vovanu4ok — CS2 Stats
76561198131005053[U:1:170739325]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 55.0% | 52.0% |
| Shot accuracy | 11.2% | 13.7% |
| Kill/death ratio | 1.18 | 1.08 |
| Match win rate | 48.3% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.05 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 sh1ro 97% playstyle similarity
Most alike: utility contribution, opening-duel success.
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 93 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 55% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
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 6.8/10 (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 | 29 | 18–11 | 62% | 0.05 | |
| A | 28 | 16–12 | 57% | 0.07 | |
| S | 18 | 13–5 | 72% | 0.05 | |
| C | 14 | 5–9 | 36% | 0.06 | |
| S | 6 | 5–1 | 83% | 0.05 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient 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 resultsLWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 355 | 57% | 1.33 | 18.6 |
| Anubis | 315 | 61% | 1.35 | 18.8 |
| Dust2 | 108 | 44% | 1.04 | 15.3 |
| Overpass | 74 | 61% | 1.44 | 19.8 |
| Vertigo | 70 | 56% | 1.20 | 18.2 |
| Inferno | 70 | 59% | 1.32 | 17.7 |
| Mirage | 25 | 48% | 1.02 | 15.0 |
| Cache | 15 | 40% | 1.20 | 17.8 |
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 38.2694% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.06 | 23% | 23 Aug → | ||
| 9–13 | 0.07 | 14% | 18 Aug → | ||
| 13–8 | 0.00 | 25% | 18 Aug → | ||
| 4–13 | 0.05 | 16% | 17 Aug → | ||
| 13–10 | -0.00 | 23% | 17 Aug → | ||
| 13–7 | 0.01 | 29% | 15 Aug → | ||
| 13–8 | 0.03 | 20% | 11 Aug → | ||
| 3–13 | -0.08 | 33% | 10 Aug → | ||
| 8–13 | 0.08 | 28% | 10 Aug → | ||
| 13–6 | 0.20 | 23% | 10 Aug → | ||
| 13–7 | 0.13 | 27% | 10 Aug → | ||
| 13–6 | 0.26 | 40% | 10 Aug → | ||
| 13–3 | 0.08 | 22% | 8 Aug → | ||
| 13–7 | 0.05 | 14% | 6 Aug → | ||
| 11–13 | 0.09 | 26% | 29 Jul → | ||
| 7–13 | 0.02 | 22% | 23 Jul → | ||
| 5–13 | 0.05 | 31% | 23 Jul → | ||
| 9–13 | -0.01 | 19% | 16 Jul → | ||
| 7–13 | 0.15 | 32% | 13 Jul → | ||
| 21–25 | 0.03 | 20% | 1 Jul → | ||
| 13–8 | 0.11 | 26% | 28 Jun → | ||
| 6–13 | 0.08 | 25% | 22 Jun → | ||
| 13–10 | 0.01 | 21% | 22 Jun → | ||
| 3–13 | -0.01 | 28% | 22 Jun → | ||
| 13–10 | 0.20 | 26% | 22 Jun → | ||
| 12–12 | 0.19 | 26% | 22 Jun → | ||
| 5–3 | 0.15 | 30% | 22 Jun → | ||
| 5–13 | -0.05 | 39% | 18 Jun → | ||
| 12–1 | 0.08 | 40% | 18 Jun → | ||
| 13–4 | 0.00 | 8% | 18 Jun → | ||
| 13–5 | 0.04 | 28% | 14 Jun → | ||
| 13–9 | 0.02 | 28% | 14 Jun → | ||
| 10–13 | 0.02 | 21% | 8 Jun → | ||
| 13–7 | 0.11 | 31% | 8 Jun → | ||
| 9–13 | -0.04 | 5% | 8 Jun → | ||
| 9–13 | -0.09 | 23% | 8 Jun → | ||
| 11–13 | 0.00 | 26% | 1 Jun → | ||
| 9–13 | 0.08 | 20% | 1 Jun → | ||
| 13–11 | 0.04 | 19% | 1 Jun → | ||
| 13–5 | 0.02 | 13% | 1 Jun → | ||
| 13–10 | 0.03 | 24% | 1 Jun → | ||
| 0–13 | -0.02 | 33% | 21 May → | ||
| 11–13 | 0.20 | 22% | 20 May → | ||
| 13–3 | 0.04 | 19% | 20 May → | ||
| 13–11 | 0.02 | 26% | 19 May → | ||
| 13–6 | 0.06 | 38% | 17 May → | ||
| 13–4 | 0.06 | 29% | 14 May → | ||
| 8–13 | 0.07 | 17% | 13 May → | ||
| 13–3 | 0.02 | 32% | 13 May → | ||
| 4–3 | -0.08 | 16% | 13 May → | ||
| 13–9 | 0.01 | 33% | 13 May → | ||
| 13–9 | 0.04 | 40% | 13 May → | ||
| 9–13 | -0.01 | 21% | 12 May → | ||
| 13–4 | 0.10 | 29% | 11 May → | ||
| 10–13 | 0.02 | 34% | 8 May → | ||
| 13–2 | 0.11 | 43% | 7 May → | ||
| 13–7 | 0.08 | 22% | 7 May → | ||
| 7–13 | 0.00 | 27% | 7 May → | ||
| 13–11 | 0.03 | 38% | 5 May → | ||
| 13–5 | 0.05 | 37% | 3 May → | ||
| 13–2 | 0.09 | 48% | 3 May → | ||
| 13–4 | 0.27 | 34% | 30 Apr → | ||
| 13–11 | 0.10 | 29% | 29 Apr → | ||
| 12–12 | 0.09 | 29% | 16 Apr → | ||
| 13–6 | 0.18 | 29% | 16 Apr → | ||
| 13–4 | 0.15 | 41% | 16 Apr → | ||
| 13–5 | 0.05 | 27% | 16 Apr → | ||
| 13–8 | 0.02 | 25% | 16 Apr → | ||
| 7–13 | -0.01 | 12% | 11 Apr → | ||
| 13–7 | 0.09 | 34% | 27 Feb → | ||
| 13–5 | 0.13 | 25% | 27 Feb → | ||
| 13–9 | 0.01 | 33% | 25 Feb → | ||
| 13–8 | 0.05 | 18% | 25 Feb → | ||
| 13–3 | 0.01 | 25% | 25 Feb → | ||
| 12–12 | 0.03 | 23% | 5 Feb → | ||
| 13–7 | 0.07 | 21% | 2 Feb → | ||
| 13–9 | 0.12 | 31% | 2 Feb → | ||
| 12–12 | 0.08 | 15% | 2 Feb → | ||
| 13–1 | 0.18 | 26% | 2 Feb → | ||
| 12–12 | 0.02 | 27% | 2 Feb → | ||
| 13–5 | -0.01 | 29% | 28 Jan → | ||
| 8–13 | -0.00 | 11% | 28 Jan → | ||
| 13–4 | 0.22 | 33% | 9 Jan → | ||
| 13–11 | 0.13 | 28% | 8 Jan → | ||
| 4–13 | 0.11 | 40% | 8 Jan → | ||
| 13–8 | 0.12 | 28% | 2 Jan → | ||
| 13–5 | 0.19 | 30% | 29 Dec → | ||
| 6–13 | 0.01 | 31% | 18 Dec → | ||
| 8–13 | 0.03 | 23% | 11 Dec → | ||
| 13–5 | 0.03 | 14% | 9 Dec → | ||
| 5–13 | -0.01 | 17% | 14 Nov → | ||
| 7–13 | -0.03 | 23% | 12 Nov → | ||
| 1–1 | 0.04 | 100% | 12 Nov → | ||
| 13–8 | 0.00 | 29% | 12 Nov → | ||
| 9–13 | 0.02 | 21% | 12 Nov → | ||
| 9–13 | 0.04 | 26% | 12 Nov → | ||
| 13–11 | 0.05 | 18% | 12 Nov → | ||
| 11–13 | 0.02 | 22% | 6 Nov → | ||
| 13–3 | 0.20 | 28% | 6 Nov → | ||
| 11–13 | 0.06 | 25% | 30 Oct → |
Match data via Leetify.