ZepneR — CS2 Stats
76561199199992512[U:1:1239726784]
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 | 57.6% | 52.8% |
| Shot accuracy | 0.9% | 13.7% |
| Kill/death ratio | 1.11 | 1.08 |
| Match win rate | 44.4% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 b1t 93% playstyle similarity
Most alike: opening-duel success, 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 585ms 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 6.6/10 (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 |
|---|---|---|---|---|---|
| B | 18 | 9–9 | 50% | 0.03 | |
| C | 14 | 6–8 | 43% | 0.04 | |
| C | 13 | 5–8 | 38% | 0.03 | |
| B | 12 | 6–6 | 50% | 0.04 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| D | 10 | 3–7 | 30% | 0.05 | |
| D | 6 | 2–4 | 33% | -0.00 | |
| D | 5 | 1–4 | 20% | 0.00 | |
| — | 4 | 3–1 | 75% | 0.07 | |
| office | — | 3 | 2–1 | 67% | 0.02 |
| — | 2 | 1–1 | 50% | 0.11 | |
| stronghold | — | 1 | 0–1 | 0% | 0.00 |
| italy | — | 1 | 1–0 | 100% | 0.17 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass 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 resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 218 | 46% | 1.30 | 18.5 |
| Dust2 | 185 | 52% | 1.29 | 18.0 |
| Anubis | 142 | 46% | 1.33 | 19.4 |
| Ancient | 113 | 54% | 1.35 | 18.8 |
| Nuke | 75 | 59% | 1.45 | 19.7 |
| Inferno | 54 | 56% | 1.28 | 18.4 |
| Cache | 19 | 53% | 1.44 | 17.7 |
| Train | 15 | 40% | 1.52 | 19.7 |
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 37.5705% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–2 | 0.07 | 40% | 25 Aug → | ||
| 13–8 | 0.03 | 24% | 21 Aug → | ||
| 13–3 | -0.03 | 32% | 20 Aug → | ||
| 10–13 | 0.03 | 17% | 19 Aug → | ||
| 13–7 | 0.03 | 25% | 18 Aug → | ||
| 13–10 | 0.06 | 23% | 17 Aug → | ||
| 12–0 | 0.11 | 17% | 7 Aug → | ||
| 10–13 | 0.06 | 17% | 31 Jul → | ||
| 13–9 | 0.02 | 22% | 28 Jul → | ||
| 13–6 | 0.04 | 16% | 27 Jul → | ||
| 13–6 | 0.05 | 20% | 27 Jul → | ||
| 13–8 | 0.02 | 21% | 17 Jul → | ||
| 10–13 | 0.03 | 14% | 15 Jul → | ||
| office | 13–3 | 0.03 | 20% | 9 Jul → | |
| 2–13 | -0.03 | 13% | 7 Jul → | ||
| 13–10 | 0.04 | 27% | 6 Jul → | ||
| 7–13 | -0.02 | 20% | 2 Jul → | ||
| 13–1 | 0.19 | 18% | 1 Jul → | ||
| 11–13 | 0.02 | 20% | 26 Jun → | ||
| 12–12 | -0.00 | 15% | 19 Jun → | ||
| 11–13 | 0.02 | 11% | 18 Jun → | ||
| 4–13 | -0.04 | 15% | 18 Jun → | ||
| 13–11 | 0.05 | 17% | 18 Jun → | ||
| stronghold | 10–13 | 0.00 | 27% | 6 Jun → | |
| 9–13 | 0.03 | 31% | 1 Jun → | ||
| 7–13 | -0.06 | 38% | 31 May → | ||
| italy | 12–3 | 0.17 | 27% | 31 May → | |
| office | 13–10 | 0.06 | 21% | 18 May → | |
| 6–13 | 0.02 | 30% | 13 May → | ||
| 7–13 | 0.06 | 27% | 12 May → | ||
| office | 1–13 | -0.03 | 29% | 12 May → | |
| 13–8 | 0.01 | 24% | 7 May → | ||
| 13–16 | 0.03 | 25% | 2 May → | ||
| 13–4 | -0.04 | 35% | 23 Apr → | ||
| 13–10 | -0.05 | 31% | 22 Apr → | ||
| 11–13 | 0.00 | 20% | 12 Apr → | ||
| 13–16 | 0.03 | 23% | 7 Apr → | ||
| 13–5 | 0.07 | 16% | 6 Apr → | ||
| 13–11 | 0.01 | 14% | 2 Apr → | ||
| 13–5 | 0.02 | 17% | 1 Apr → | ||
| 13–16 | 0.02 | 18% | 31 Mar → | ||
| 13–8 | -0.02 | 32% | 31 Mar → | ||
| 7–13 | 0.02 | 20% | 24 Mar → | ||
| 13–2 | 0.01 | 40% | 23 Mar → | ||
| 9–13 | -0.00 | 24% | 20 Mar → | ||
| 12–16 | 0.02 | 18% | 20 Mar → | ||
| 13–10 | 0.08 | 25% | 20 Mar → | ||
| 11–13 | 0.07 | 29% | 17 Mar → | ||
| 7–13 | -0.03 | 19% | 8 Mar → | ||
| 13–11 | 0.07 | 15% | 6 Mar → | ||
| 9–3 | 0.07 | 19% | 6 Mar → | ||
| 11–13 | -0.02 | 17% | 6 Mar → | ||
| 13–7 | 0.05 | 26% | 5 Mar → | ||
| 13–10 | 0.04 | 20% | 4 Mar → | ||
| 10–13 | 0.07 | 18% | 4 Mar → | ||
| 16–13 | 0.06 | 24% | 27 Feb → | ||
| 11–13 | 0.06 | 25% | 25 Feb → | ||
| 2–13 | 0.07 | 20% | 25 Feb → | ||
| 4–13 | -0.03 | 18% | 24 Feb → | ||
| 5–13 | -0.01 | 13% | 22 Feb → | ||
| 11–13 | 0.06 | 37% | 22 Feb → | ||
| 13–10 | 0.01 | 30% | 22 Feb → | ||
| 6–13 | -0.02 | 26% | 22 Feb → | ||
| 7–13 | -0.03 | 21% | 21 Feb → | ||
| 13–11 | 0.04 | 23% | 20 Feb → | ||
| 13–11 | 0.06 | 27% | 20 Feb → | ||
| 5–13 | 0.00 | 12% | 20 Feb → | ||
| 6–13 | 0.02 | 22% | 20 Feb → | ||
| 13–8 | 0.02 | 33% | 20 Feb → | ||
| 10–13 | 0.11 | 37% | 19 Feb → | ||
| 13–8 | 0.05 | 29% | 16 Feb → | ||
| 15–15 | 0.11 | 31% | 16 Feb → | ||
| 6–13 | 0.03 | 29% | 16 Feb → | ||
| 6–13 | -0.06 | 28% | 14 Feb → | ||
| 8–13 | -0.02 | 19% | 13 Feb → | ||
| 2–13 | -0.04 | 43% | 11 Feb → | ||
| 13–8 | 0.09 | 31% | 11 Feb → | ||
| 9–13 | 0.08 | 30% | 11 Feb → | ||
| 8–8 | 0.04 | 19% | 11 Feb → | ||
| 6–8 | 0.05 | 37% | 11 Feb → | ||
| 13–8 | 0.18 | 32% | 11 Feb → | ||
| 16–13 | -0.01 | 34% | 10 Feb → | ||
| 13–6 | 0.03 | 33% | 9 Feb → | ||
| 7–13 | 0.15 | 32% | 9 Feb → | ||
| 13–5 | 0.08 | 19% | 9 Feb → | ||
| 2–13 | -0.03 | 32% | 9 Feb → | ||
| 2–13 | -0.12 | 14% | 7 Feb → | ||
| 6–13 | -0.02 | 15% | 7 Feb → | ||
| 13–10 | 0.10 | 18% | 7 Feb → | ||
| 9–13 | 0.05 | 14% | 7 Feb → | ||
| 13–7 | 0.15 | 32% | 7 Feb → | ||
| 3–13 | -0.01 | 28% | 7 Feb → | ||
| 13–2 | 0.07 | 23% | 7 Feb → | ||
| 13–4 | 0.28 | 25% | 7 Feb → | ||
| 8–8 | 0.00 | 11% | 7 Feb → | ||
| 6–9 | -0.01 | 17% | 7 Feb → | ||
| 9–7 | 0.14 | 29% | 7 Feb → | ||
| 15–15 | 0.07 | 26% | 7 Feb → | ||
| 8–13 | 0.04 | 30% | 6 Feb → | ||
| 5–13 | 0.03 | 22% | 6 Feb → |
Match data via Leetify.