Зайка❤ — CS2 Stats
76561198868440553[U:1:908174825]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 | 45.6% | 52.8% |
| Shot accuracy | 14.2% | 13.7% |
| Kill/death ratio | 1.15 | 1.08 |
| Match win rate | 49.9% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong 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 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower 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
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 65% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 614ms 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 7.0/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 17–16 | 52% | 0.03 | |
| D | 18 | 6–12 | 33% | 0.02 | |
| S | 12 | 9–3 | 75% | 0.08 | |
| A | 12 | 7–5 | 58% | 0.04 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| D | 7 | 2–5 | 29% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.00 | |
| — | 3 | 3–0 | 100% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.04 | |
| italy | — | 2 | 0–2 | 0% | 0.12 |
| office | — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke 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 |
|---|---|---|---|---|
| Mirage | 791 | 50% | 1.31 | 18.3 |
| Dust2 | 446 | 54% | 1.28 | 18.2 |
| Ancient | 302 | 53% | 1.23 | 17.6 |
| Anubis | 184 | 49% | 1.13 | 16.8 |
| Inferno | 108 | 44% | 1.09 | 16.8 |
| Nuke | 99 | 47% | 1.24 | 17.6 |
| Overpass | 60 | 53% | 1.39 | 19.0 |
| Train | 50 | 56% | 1.29 | 17.3 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.06 | 23% | 7 Aug → | ||
| 11–13 | -0.05 | 18% | 26 Jun → | ||
| 13–8 | 0.04 | 18% | 26 Jun → | ||
| 10–13 | -0.01 | 22% | 20 May → | ||
| 8–13 | -0.03 | 16% | 18 May → | ||
| 13–10 | 0.03 | 18% | 8 Apr → | ||
| 16–13 | 0.02 | 29% | 7 Mar → | ||
| 13–10 | -0.03 | 24% | 14 Jan → | ||
| 13–16 | -0.01 | 17% | 17 Dec → | ||
| 13–8 | 0.08 | 27% | 8 Dec → | ||
| 9–3 | 0.13 | 23% | 23 Nov → | ||
| 13–3 | 0.04 | 21% | 17 Oct → | ||
| 13–7 | 0.08 | 23% | 17 Oct → | ||
| 7–13 | 0.12 | 18% | 13 Oct → | ||
| 13–10 | 0.13 | 15% | 9 Oct → | ||
| 2–9 | -0.12 | 20% | 12 Aug → | ||
| 13–6 | 0.06 | 22% | 8 Jul → | ||
| 6–13 | 0.08 | 31% | 8 Jul → | ||
| 13–9 | 0.00 | 26% | 28 Jun → | ||
| 13–11 | 0.05 | 22% | 11 Jun → | ||
| 14–16 | 0.02 | 48% | 25 May → | ||
| 13–2 | 0.04 | 26% | 1 May → | ||
| 11–13 | 0.03 | 11% | 30 Apr → | ||
| 13–7 | 0.17 | 29% | 25 Apr → | ||
| 8–13 | -0.04 | 21% | 12 Apr → | ||
| 13–11 | -0.01 | 14% | 4 Apr → | ||
| 13–15 | -0.02 | 23% | 24 Mar → | ||
| 13–7 | 0.04 | 17% | 20 Mar → | ||
| 9–6 | -0.01 | 19% | 17 Mar → | ||
| 9–13 | -0.00 | 20% | 10 Mar → | ||
| 13–10 | -0.03 | 33% | 10 Mar → | ||
| 13–7 | 0.08 | 31% | 10 Mar → | ||
| 11–13 | 0.09 | 32% | 12 Feb → | ||
| 4–13 | -0.03 | 11% | 31 Jan → | ||
| italy | 5–7 | 0.17 | 23% | 10 Jan → | |
| italy | 10–13 | 0.07 | 21% | 16 Dec → | |
| 13–1 | 0.12 | 5% | 14 Nov → | ||
| 9–13 | 0.07 | 23% | 10 Nov → | ||
| 13–8 | 0.04 | 32% | 10 Nov → | ||
| 12–12 | 0.01 | 12% | 8 Nov → | ||
| 12–16 | 0.04 | 22% | 25 Oct → | ||
| 13–11 | 0.14 | 22% | 29 Sept → | ||
| 9–1 | 0.06 | 43% | 20 Sept → | ||
| 8–13 | 0.06 | 26% | 16 Sept → | ||
| 13–7 | 0.10 | 21% | 13 Sept → | ||
| 13–11 | 0.00 | 9% | 2 Sept → | ||
| 10–13 | -0.03 | 29% | 19 Aug → | ||
| 13–4 | 0.08 | 19% | 16 Aug → | ||
| 0–13 | -0.02 | 38% | 15 Aug → | ||
| 8–13 | 0.01 | 21% | 15 Aug → | ||
| 13–4 | 0.07 | 23% | 15 Aug → | ||
| 9–3 | 0.27 | 18% | 9 Aug → | ||
| 8–8 | 0.05 | 24% | 9 Aug → | ||
| 13–9 | 0.07 | 23% | 2 Jul → | ||
| 3–13 | -0.12 | 31% | 26 Jun → | ||
| 8–13 | -0.05 | 23% | 24 Jun → | ||
| 3–13 | -0.08 | 8% | 16 Jun → | ||
| 12–12 | -0.09 | 30% | 16 Jun → | ||
| 13–6 | 0.17 | 31% | 16 Jun → | ||
| 11–13 | 0.05 | 15% | 29 May → | ||
| 13–6 | 0.03 | 40% | 27 Apr → | ||
| 6–9 | 0.08 | 43% | 26 Apr → | ||
| office | 13–6 | 0.07 | 21% | 26 Apr → | |
| 13–3 | -0.02 | 28% | 11 Apr → | ||
| 13–7 | 0.05 | 30% | 11 Apr → | ||
| 13–10 | 0.05 | 45% | 8 Apr → | ||
| 13–9 | 0.03 | 23% | 8 Apr → | ||
| 13–5 | 0.01 | 24% | 9 Mar → | ||
| 3–13 | 0.00 | 28% | 7 Mar → | ||
| 13–9 | 0.04 | 28% | 2 Mar → | ||
| 4–13 | -0.05 | 21% | 19 Feb → | ||
| 6–13 | 0.04 | 30% | 19 Feb → | ||
| 9–13 | 0.00 | 39% | 18 Feb → | ||
| 13–8 | -0.02 | 33% | 16 Feb → | ||
| 4–13 | -0.03 | 18% | 15 Feb → | ||
| 7–13 | -0.00 | 18% | 15 Feb → | ||
| 13–3 | 0.22 | 27% | 14 Feb → | ||
| 10–13 | 0.17 | 22% | 14 Feb → | ||
| 8–13 | -0.05 | 21% | 13 Feb → | ||
| 4–13 | -0.04 | 31% | 13 Feb → | ||
| 8–13 | -0.02 | 21% | 28 Jan → | ||
| 11–13 | 0.01 | 20% | 28 Jan → | ||
| 13–3 | 0.16 | 28% | 27 Jan → | ||
| 13–9 | -0.02 | 23% | 26 Jan → | ||
| 13–9 | 0.17 | 33% | 26 Jan → | ||
| 10–13 | -0.05 | 14% | 26 Jan → | ||
| 13–8 | 0.17 | 25% | 26 Jan → | ||
| 4–13 | 0.09 | 48% | 26 Jan → | ||
| 13–5 | 0.02 | 34% | 24 Jan → | ||
| 5–13 | 0.04 | 7% | 24 Jan → | ||
| 13–9 | 0.04 | 19% | 23 Jan → | ||
| 13–4 | 0.10 | 32% | 23 Jan → | ||
| 13–5 | 0.14 | 23% | 23 Jan → | ||
| 13–16 | -0.02 | 26% | 22 Jan → | ||
| 7–13 | 0.03 | 29% | 22 Jan → | ||
| 8–13 | -0.07 | 32% | 20 Jan → | ||
| 6–13 | -0.03 | 20% | 19 Jan → | ||
| 13–7 | -0.03 | 14% | 18 Jan → | ||
| 6–13 | 0.05 | 34% | 18 Jan → | ||
| 16–12 | -0.01 | 18% | 17 Jan → |
Match data via Leetify.