Koci_- — CS2 Stats
76561198379032932[U:1:418767204]
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 66.2% | 48.5% | 51.9% | above |
| Shot accuracy | 9.8% | 13.3% | 13.7% | 4.0% short |
| Kill/death ratio | 0.73 | 1.07 | 1.08 | 0.35 short |
| Match win rate | 36.9% | 47.0% | 48.7% | 11.8% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 86% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower aim profile; lower 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
Areas to improve
Positioning. Positioning trails aim by 31 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. 624ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 dust2 | C | 53 | 23–30 | 43% | -0.01 |
 cache | C | 15 | 6–9 | 40% | 0.01 |
 inferno | D | 12 | 4–8 | 33% | -0.02 |
 mirage | D | 10 | 3–7 | 30% | 0.00 |
 ancient | — | 3 | 2–1 | 67% | 0.00 |
 train | — | 2 | 1–1 | 50% | 0.06 |
 vertigo | — | 2 | 1–1 | 50% | -0.01 |
 anubis | — | 1 | 0–1 | 0% | -0.06 |
 nuke | — | 1 | 1–0 | 100% | 0.08 |
| office | — | 1 | 0–1 | 0% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Mirage 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 188 | 65% | 0.94 | 13.6 |
| Inferno | 106 | 43% | 0.82 | 12.2 |
| Mirage | 75 | 43% | 0.88 | 14.8 |
| Ancient | 73 | 48% | 0.88 | 14.4 |
| Anubis | 41 | 51% | 0.82 | 12.0 |
| Cache | 39 | 51% | 0.98 | 13.5 |
| Nuke | 12 | 33% | 0.69 | 11.3 |
| Train | 12 | 33% | 0.69 | 11.3 |
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
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 33.103% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 5–13 | 0.02 | 19% | 30 Aug → | |
| dust2 | 16–12 | 0.07 | 34% | 29 Aug → | |
| dust2 | 9–13 | -0.04 | 31% | 28 Aug → | |
| cache | 6–13 | -0.02 | 39% | 28 Aug → | |
| cache | 13–6 | 0.06 | 32% | 28 Aug → | |
| dust2 | 13–7 | 0.04 | 48% | 28 Aug → | |
| cache | 13–6 | 0.02 | 38% | 28 Aug → | |
| inferno | 13–7 | -0.01 | 20% | 28 Aug → | |
| cache | 13–16 | 0.00 | 23% | 28 Aug → | |
| cache | 13–1 | 0.01 | 28% | 27 Aug → | |
| inferno | 12–16 | -0.04 | 19% | 27 Aug → | |
| mirage | 12–12 | -0.01 | 28% | 26 Aug → | |
| ancient | 13–7 | 0.01 | 27% | 25 Aug → | |
| inferno | 3–13 | -0.06 | 16% | 24 Aug → | |
| dust2 | 4–13 | -0.02 | 31% | 24 Aug → | |
| dust2 | 13–9 | -0.02 | 35% | 23 Aug → | |
| dust2 | 3–13 | -0.03 | 57% | 21 Aug → | |
| dust2 | 13–9 | -0.02 | 39% | 21 Aug → | |
| ancient | 13–11 | 0.03 | 28% | 17 Aug → | |
| inferno | 13–6 | -0.01 | 25% | 17 Aug → | |
| anubis | 11–13 | -0.06 | 15% | 17 Aug → | |
| cache | 5–13 | -0.00 | 33% | 11 Aug → | |
| dust2 | 4–13 | -0.01 | 31% | 7 Aug → | |
| dust2 | 1–13 | -0.10 | 33% | 7 Aug → | |
| dust2 | 2–0 | 0.00 | 0% | 7 Aug → | |
| dust2 | 13–7 | 0.02 | 33% | 3 Jul → | |
| dust2 | 4–13 | -0.03 | 29% | 3 Jul → | |
| inferno | 13–11 | 0.05 | 30% | 1 Jul → | |
| dust2 | 0–13 | -0.06 | 0% | 30 Jun → | |
| mirage | 4–13 | 0.01 | 24% | 30 Jun → | |
| inferno | 6–13 | -0.05 | 13% | 29 Jun → | |
| cache | 13–10 | 0.04 | 37% | 27 Jun → | |
| dust2 | 13–7 | 0.07 | 31% | 27 Jun → | |
| dust2 | 13–11 | 0.06 | 30% | 27 Jun → | |
| dust2 | 13–9 | 0.09 | 29% | 27 Jun → | |
| dust2 | 12–12 | 0.01 | 28% | 27 Jun → | |
| dust2 | 5–13 | -0.02 | 33% | 26 Jun → | |
| dust2 | 8–13 | -0.01 | 22% | 26 Jun → | |
| dust2 | 4–13 | -0.06 | 35% | 26 Jun → | |
| dust2 | 8–13 | -0.02 | 17% | 18 Jun → | |
| train | 13–9 | 0.04 | 41% | 17 Jun → | |
| dust2 | 13–10 | -0.04 | 35% | 16 Jun → | |
| dust2 | 10–13 | 0.02 | 41% | 16 Jun → | |
| inferno | 8–13 | -0.03 | 33% | 15 Jun → | |
| dust2 | 0–13 | -0.13 | 67% | 15 Jun → | |
| mirage | 8–13 | -0.01 | 29% | 14 Jun → | |
| cache | 13–9 | -0.03 | 21% | 14 Jun → | |
| dust2 | 13–3 | 0.05 | 27% | 14 Jun → | |
| dust2 | 13–1 | -0.03 | 60% | 11 Jun → | |
| cache | 10–13 | 0.03 | 24% | 10 Jun → | |
| dust2 | 13–9 | 0.01 | 29% | 10 Jun → | |
| dust2 | 10–13 | 0.03 | 30% | 10 Jun → | |
| dust2 | 13–9 | -0.01 | 23% | 8 Jun → | |
| dust2 | 12–12 | 0.03 | 36% | 7 Jun → | |
| dust2 | 13–0 | -0.02 | 0% | 7 Jun → | |
| vertigo | 8–13 | -0.03 | 32% | 7 Jun → | |
| mirage | 13–2 | 0.04 | 23% | 22 May → | |
| nuke | 13–11 | 0.08 | 32% | 16 May → | |
| inferno | 15–15 | 0.03 | 23% | 15 May → | |
| office | 12–12 | 0.06 | 18% | 13 May → | |
| dust2 | 14–16 | -0.05 | 12% | 13 May → | |
| cache | 10–13 | -0.06 | 32% | 11 May → | |
| cache | 11–13 | 0.01 | 40% | 9 May → | |
| mirage | 11–13 | 0.00 | 20% | 8 May → | |
| cache | 6–13 | -0.02 | 18% | 6 May → | |
| cache | 7–13 | 0.04 | 33% | 6 May → | |
| cache | 1–13 | 0.02 | 33% | 6 May → | |
| cache | 13–7 | 0.00 | 22% | 3 May → | |
| inferno | 6–13 | -0.05 | 19% | 28 Apr → | |
| dust2 | 6–13 | -0.05 | 39% | 23 Apr → | |
| dust2 | 11–4 | 0.03 | 24% | 23 Apr → | |
| dust2 | 13–11 | 0.02 | 31% | 23 Apr → | |
| dust2 | 13–9 | -0.07 | 39% | 23 Apr → | |
| dust2 | 13–5 | 0.08 | 29% | 22 Apr → | |
| dust2 | 1–13 | -0.06 | 44% | 22 Apr → | |
| train | 11–13 | 0.08 | 29% | 22 Apr → | |
| mirage | 13–7 | -0.06 | 40% | 21 Apr → | |
| dust2 | 11–13 | -0.03 | 25% | 21 Apr → | |
| dust2 | 12–12 | 0.03 | 39% | 21 Apr → | |
| dust2 | 13–9 | -0.06 | 32% | 16 Apr → | |
| dust2 | 13–7 | -0.02 | 19% | 15 Apr → | |
| dust2 | 13–2 | 0.01 | 34% | 15 Apr → | |
| dust2 | 3–13 | -0.00 | 25% | 11 Apr → | |
| ancient | 11–13 | -0.05 | 26% | 10 Apr → | |
| mirage | 9–13 | 0.01 | 30% | 9 Apr → | |
| vertigo | 13–4 | -0.00 | 35% | 9 Apr → | |
| dust2 | 13–11 | -0.01 | 27% | 5 Apr → | |
| mirage | 16–12 | 0.04 | 24% | 3 Apr → | |
| mirage | 7–13 | -0.03 | 35% | 3 Apr → | |
| dust2 | 12–12 | 0.01 | 37% | 3 Apr → | |
| inferno | 10–13 | 0.01 | 34% | 2 Apr → | |
| dust2 | 9–13 | 0.05 | 33% | 29 Mar → | |
| dust2 | 12–12 | -0.04 | 24% | 26 Mar → | |
| dust2 | 4–13 | -0.01 | 16% | 26 Mar → | |
| inferno | 4–13 | -0.07 | 22% | 26 Mar → | |
| dust2 | 1–10 | -0.01 | 25% | 25 Mar → | |
| dust2 | 7–13 | -0.07 | 19% | 25 Mar → | |
| dust2 | 15–15 | -0.02 | 16% | 24 Mar → | |
| inferno | 13–5 | -0.03 | 33% | 22 Mar → | |
| dust2 | 7–13 | -0.01 | 39% | 21 Mar → |
Match data via Leetify.
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