z1no — CS2 Stats
76561198407361973[U:1:447096245]✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 49.2% | 48.1% |
| Shot accuracy | 14.7% | 12.9% |
| Kill/death ratio | 0.89 | 1.08 |
| Match win rate | 42.0% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 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 91% 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. 606ms 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 5.9/10 (Solid), 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 | 37 | 18–19 | 49% | 0.01 | |
| A | 14 | 8–6 | 57% | 0.06 | |
| S | 13 | 11–2 | 85% | 0.01 | |
| B | 10 | 5–5 | 50% | -0.00 | |
| C | 7 | 3–4 | 43% | 0.00 | |
| D | 6 | 0–6 | 0% | -0.02 | |
| D | 6 | 1–5 | 17% | -0.03 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | 0.12 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (0% over 6). 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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 11 | 55% | 0.92 | 13.2 |
| Inferno | 8 | 62% | 1.01 | 14.0 |
| Dust2 | 7 | 57% | 1.06 | 17.9 |
| Ancient | 6 | 67% | 1.02 | 15.0 |
| Cache | 6 | 67% | 1.15 | 15.8 |
| Nuke | 2 | 50% | 1.09 | 15.0 |
| Vertigo | 2 | 50% | 1.60 | 15.5 |
| Train | 2 | 50% | 1.23 | 14.0 |
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
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.01 | 41% | 24 Aug → | ||
| 13–7 | 0.01 | 28% | 24 Aug → | ||
| 10–13 | -0.05 | 24% | 23 Aug → | ||
| 9–3 | 0.04 | 50% | 20 Aug → | ||
| 6–9 | -0.14 | 21% | 20 Aug → | ||
| 9–6 | 0.05 | 23% | 20 Aug → | ||
| 13–10 | 0.02 | 38% | 20 Aug → | ||
| 8–13 | -0.03 | 30% | 15 Aug → | ||
| 13–11 | -0.03 | 23% | 14 Aug → | ||
| 13–8 | 0.11 | 25% | 13 Aug → | ||
| 13–7 | 0.07 | 32% | 13 Aug → | ||
| 10–13 | -0.00 | 83% | 13 Aug → | ||
| 4–13 | -0.06 | 28% | 13 Aug → | ||
| 13–3 | -0.01 | 33% | 12 Aug → | ||
| 6–13 | -0.04 | 11% | 10 Aug → | ||
| 13–7 | 0.04 | 19% | 10 Aug → | ||
| 7–13 | -0.04 | 39% | 8 Aug → | ||
| 13–16 | -0.01 | 33% | 8 Aug → | ||
| 13–11 | 0.04 | 31% | 8 Aug → | ||
| 7–13 | 0.00 | 34% | 8 Aug → | ||
| 9–7 | 0.05 | 22% | 7 Aug → | ||
| 8–8 | 0.05 | 19% | 7 Aug → | ||
| 9–5 | 0.07 | 42% | 6 Aug → | ||
| 9–1 | 0.14 | 75% | 6 Aug → | ||
| 15–15 | 0.04 | 21% | 6 Aug → | ||
| 9–13 | 0.02 | 30% | 4 Aug → | ||
| 9–13 | 0.07 | 27% | 4 Aug → | ||
| 10–13 | -0.06 | 21% | 3 Aug → | ||
| 7–13 | -0.09 | 47% | 3 Aug → | ||
| 9–13 | 0.05 | 33% | 2 Aug → | ||
| 13–11 | -0.01 | 28% | 2 Aug → | ||
| 7–13 | -0.01 | 17% | 2 Aug → | ||
| 9–13 | -0.05 | 16% | 2 Aug → | ||
| 7–13 | -0.05 | 32% | 2 Aug → | ||
| 13–9 | 0.01 | 30% | 2 Aug → | ||
| 13–8 | 0.04 | 30% | 2 Aug → | ||
| 9–2 | 0.26 | 50% | 2 Aug → | ||
| 8–13 | 0.01 | 29% | 2 Aug → | ||
| 6–13 | -0.05 | 19% | 2 Aug → | ||
| 11–13 | 0.00 | 30% | 2 Aug → | ||
| 13–8 | -0.01 | 19% | 1 Aug → | ||
| 8–13 | -0.01 | 23% | 1 Aug → | ||
| 13–11 | -0.06 | 29% | 1 Aug → | ||
| 16–14 | -0.00 | 26% | 1 Aug → | ||
| 13–2 | -0.01 | 44% | 1 Aug → | ||
| 12–12 | 0.17 | 26% | 30 Jul → | ||
| 9–13 | 0.12 | 35% | 30 Jul → | ||
| 2–9 | -0.09 | 13% | 30 Jul → | ||
| 9–2 | 0.28 | 28% | 30 Jul → | ||
| 3–13 | 0.07 | 24% | 29 Jul → | ||
| 13–10 | 0.10 | 33% | 29 Jul → | ||
| 13–10 | -0.07 | 26% | 27 Jul → | ||
| 13–11 | 0.01 | 23% | 27 Jul → | ||
| 13–6 | -0.04 | 18% | 26 Jul → | ||
| 13–9 | 0.02 | 29% | 26 Jul → | ||
| 13–9 | -0.03 | 18% | 26 Jul → | ||
| 8–8 | 0.04 | 18% | 26 Jul → | ||
| 9–13 | -0.06 | 13% | 26 Jul → | ||
| 6–13 | -0.04 | 30% | 24 Jul → | ||
| 6–13 | -0.06 | 16% | 24 Jul → | ||
| 13–9 | 0.06 | 36% | 23 Jul → | ||
| 13–6 | 0.02 | 50% | 23 Jul → | ||
| 5–0 | -0.02 | 0% | 23 Jul → | ||
| 13–6 | -0.01 | 23% | 23 Jul → | ||
| 13–10 | 0.02 | 37% | 23 Jul → | ||
| 13–7 | 0.02 | 38% | 23 Jul → | ||
| 11–13 | -0.02 | 24% | 21 Jul → | ||
| 13–6 | 0.04 | 24% | 21 Jul → | ||
| 7–13 | -0.06 | 27% | 16 Jul → | ||
| 13–4 | -0.03 | 28% | 16 Jul → | ||
| 8–13 | 0.05 | 14% | 15 Jul → | ||
| 13–2 | 0.04 | 24% | 15 Jul → | ||
| 6–13 | 0.02 | 19% | 15 Jul → | ||
| 13–8 | 0.07 | 27% | 15 Jul → | ||
| 4–13 | -0.05 | 39% | 12 Jul → | ||
| 13–2 | 0.06 | 23% | 12 Jul → | ||
| 13–7 | -0.02 | 19% | 12 Jul → | ||
| 13–8 | 0.06 | 25% | 12 Jul → | ||
| 13–7 | 0.07 | 23% | 12 Jul → | ||
| 13–4 | 0.01 | 14% | 12 Jul → | ||
| 6–13 | -0.01 | 23% | 12 Jul → | ||
| 9–13 | -0.05 | 27% | 9 Jul → | ||
| 3–13 | -0.05 | 24% | 9 Jul → | ||
| 7–13 | 0.06 | 28% | 9 Jul → | ||
| 13–4 | 0.04 | 18% | 8 Jul → | ||
| 9–13 | -0.06 | 27% | 8 Jul → | ||
| 6–13 | -0.07 | 21% | 7 Jul → | ||
| 13–11 | 0.08 | 35% | 7 Jul → | ||
| 6–13 | 0.01 | 14% | 7 Jul → | ||
| 7–13 | -0.07 | 17% | 5 Jul → | ||
| 12–12 | -0.03 | 29% | 5 Jul → | ||
| 11–13 | 0.03 | 13% | 5 Jul → | ||
| 12–12 | -0.03 | 22% | 5 Jul → | ||
| 13–7 | 0.08 | 31% | 5 Jul → | ||
| 9–13 | 0.05 | 22% | 5 Jul → | ||
| 13–2 | 0.01 | 20% | 5 Jul → | ||
| 13–11 | -0.05 | 24% | 5 Jul → | ||
| 11–13 | -0.04 | 26% | 5 Jul → | ||
| 13–3 | 0.03 | 21% | 5 Jul → | ||
| 12–12 | -0.03 | 18% | 4 Jul → |
Match data via Leetify.