canoviyuviyu — CS2 Stats
76561199095544587[U:1:1135278859]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.04 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 NiKo 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower positioning profile; 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
Reaction time. 625ms 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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 46 | 17–29 | 37% | 0.00 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| D | 12 | 3–9 | 25% | -0.01 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| D | 5 | 0–5 | 0% | -0.03 | |
| office | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 169 | 57% | 1.37 | 19.9 |
| Anubis | 150 | 55% | 1.28 | 19.6 |
| Mirage | 91 | 43% | 1.09 | 16.6 |
| Nuke | 65 | 51% | 1.40 | 22.2 |
| Inferno | 64 | 52% | 1.18 | 18.1 |
| Ancient | 56 | 43% | 0.96 | 15.5 |
| Vertigo | 35 | 37% | 1.25 | 19.9 |
| Train | 7 | 14% | 0.97 | 15.6 |
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 0.4755 — below the 0.5 mark we flag
- 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 27.5321% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.03 | 23% | 23 Aug → | ||
| 0–5 | -0.05 | 43% | 23 Aug → | ||
| 4–13 | -0.11 | 36% | 22 Aug → | ||
| 7–13 | -0.01 | 16% | 20 Aug → | ||
| 13–9 | 0.00 | 45% | 20 Aug → | ||
| 4–13 | -0.05 | 10% | 20 Aug → | ||
| 9–13 | -0.05 | 15% | 19 Aug → | ||
| 1–4 | -0.07 | 13% | 13 Aug → | ||
| 7–13 | -0.10 | 26% | 13 Aug → | ||
| 13–5 | -0.04 | 29% | 13 Aug → | ||
| 5–9 | 0.08 | 21% | 12 Aug → | ||
| 10–13 | -0.05 | 16% | 11 Aug → | ||
| 13–2 | 0.03 | 16% | 11 Aug → | ||
| 13–1 | -0.01 | 21% | 11 Aug → | ||
| 10–7 | -0.04 | 18% | 11 Aug → | ||
| 4–13 | -0.05 | 32% | 10 Aug → | ||
| 1–13 | -0.08 | 0% | 9 Aug → | ||
| 13–4 | 0.05 | 22% | 9 Aug → | ||
| 13–8 | -0.02 | 20% | 9 Aug → | ||
| 13–3 | 0.03 | 18% | 9 Aug → | ||
| 13–4 | -0.00 | 20% | 8 Aug → | ||
| 10–13 | -0.01 | 28% | 7 Aug → | ||
| 9–6 | -0.12 | 33% | 6 Aug → | ||
| 13–8 | 0.04 | 20% | 5 Aug → | ||
| 5–13 | 0.01 | 20% | 23 Jul → | ||
| 1–13 | -0.06 | 0% | 22 Jul → | ||
| 5–13 | -0.00 | 15% | 20 Jul → | ||
| 11–13 | -0.05 | 15% | 19 Jul → | ||
| 0–13 | -0.04 | 0% | 19 Jul → | ||
| 9–3 | 0.07 | 15% | 15 Jul → | ||
| 13–7 | -0.04 | 42% | 15 Jul → | ||
| 3–9 | -0.08 | 10% | 14 Jul → | ||
| 13–0 | 0.00 | 100% | 12 Jul → | ||
| 4–13 | -0.06 | 13% | 5 Jul → | ||
| 5–13 | 0.05 | 29% | 5 Jul → | ||
| 3–13 | 0.03 | 26% | 5 Jul → | ||
| 7–2 | 0.11 | 25% | 5 Jul → | ||
| 5–2 | 0.13 | 32% | 5 Jul → | ||
| 13–11 | 0.05 | 15% | 5 Jul → | ||
| 9–13 | -0.03 | 19% | 29 Jun → | ||
| 13–7 | 0.13 | 22% | 27 Jun → | ||
| 1–13 | -0.12 | 40% | 27 Jun → | ||
| 2–7 | -0.02 | 40% | 21 Jun → | ||
| 7–9 | 0.13 | 32% | 18 Jun → | ||
| 9–13 | 0.01 | 20% | 26 May → | ||
| 9–13 | 0.01 | 19% | 24 May → | ||
| 13–10 | -0.02 | 20% | 18 May → | ||
| 11–13 | -0.01 | 30% | 13 May → | ||
| 11–13 | -0.04 | 25% | 18 Apr → | ||
| 8–13 | 0.07 | 16% | 11 Apr → | ||
| 13–2 | 0.04 | 40% | 20 Mar → | ||
| 8–13 | -0.06 | 20% | 20 Mar → | ||
| 12–12 | 0.09 | 30% | 12 Mar → | ||
| 8–13 | -0.01 | 28% | 10 Mar → | ||
| 2–13 | 0.09 | 36% | 5 Mar → | ||
| 5–13 | 0.02 | 28% | 2 Mar → | ||
| 15–15 | -0.05 | 24% | 1 Mar → | ||
| 16–14 | 0.03 | 28% | 1 Mar → | ||
| 13–8 | 0.14 | 25% | 1 Mar → | ||
| 13–7 | 0.03 | 9% | 23 Feb → | ||
| 13–16 | -0.01 | 28% | 14 Feb → | ||
| 6–13 | -0.00 | 29% | 13 Feb → | ||
| 9–13 | 0.00 | 40% | 13 Feb → | ||
| 8–13 | 0.03 | 30% | 12 Feb → | ||
| 15–15 | -0.04 | 16% | 11 Feb → | ||
| 9–13 | -0.06 | 23% | 5 Feb → | ||
| 9–13 | -0.04 | 32% | 2 Feb → | ||
| 13–11 | 0.06 | 28% | 1 Feb → | ||
| 2–13 | -0.02 | 20% | 1 Feb → | ||
| 11–13 | -0.03 | 19% | 29 Jan → | ||
| 5–13 | -0.02 | 13% | 29 Jan → | ||
| 13–10 | -0.04 | 22% | 29 Jan → | ||
| 13–11 | 0.00 | 15% | 29 Jan → | ||
| 13–5 | -0.04 | 20% | 29 Jan → | ||
| 13–8 | 0.02 | 26% | 29 Jan → | ||
| 0–6 | 0.01 | 60% | 29 Jan → | ||
| 5–13 | -0.03 | 41% | 28 Jan → | ||
| 13–9 | -0.00 | 24% | 28 Jan → | ||
| 13–7 | -0.00 | 75% | 24 Jan → | ||
| 13–11 | 0.01 | 26% | 24 Jan → | ||
| 13–8 | 0.02 | 16% | 23 Jan → | ||
| office | 9–13 | 0.02 | 23% | 21 Jan → | |
| 11–13 | 0.02 | 24% | 18 Jan → | ||
| 9–6 | -0.02 | 16% | 13 Jan → | ||
| 13–7 | 0.02 | 14% | 12 Jan → | ||
| 5–9 | -0.04 | 33% | 12 Jan → | ||
| 1–13 | -0.01 | 33% | 9 Jan → | ||
| 13–6 | -0.07 | 44% | 9 Jan → | ||
| 11–13 | 0.01 | 27% | 8 Jan → | ||
| 13–7 | -0.00 | 35% | 4 Jan → | ||
| 13–10 | 0.04 | 27% | 4 Jan → | ||
| 7–13 | 0.06 | 39% | 4 Jan → | ||
| 12–12 | -0.03 | 35% | 31 Dec → | ||
| 7–13 | -0.07 | 33% | 28 Dec → | ||
| 0–13 | -0.02 | 0% | 28 Dec → | ||
| 13–10 | -0.04 | 22% | 27 Dec → | ||
| 9–13 | -0.02 | 18% | 27 Dec → | ||
| 11–13 | -0.06 | 26% | 24 Dec → | ||
| 10–13 | -0.03 | 18% | 23 Dec → | ||
| 1–13 | -0.06 | 29% | 23 Dec → |
Match data via Leetify.