KOiN — CS2 Stats
SE76561198170326691[U:1:210060963]Steam profile ↗
How this compares with the same rank
Median values for Level 7 among CSDB-tracked players (n=1,762), 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 7 median | Level 8 median | vs Level 8 |
|---|---|---|---|---|
| Headshot rate | 42.3% | 46.1% | 47.0% | 4.7% short |
| Shot accuracy | 4.8% | 12.6% | 12.7% | 7.9% short |
| Kill/death ratio | 1.12 | 1.05 | 1.07 | above |
| Match win rate | 42.5% | 45.7% | 46.4% | 3.9% short |
This profile matches the typical Level 8 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 8 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: -30pp win rate · -0.03 avg rating
Player DNA
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 74% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
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. 663ms 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 4.7/10 (Developing), 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 |
|---|---|---|---|---|---|
 ancient | D | 23 | 7–16 | 30% | 0.02 |
 anubis | A | 18 | 11–7 | 61% | 0.01 |
 inferno | C | 14 | 6–8 | 43% | 0.00 |
 nuke | B | 13 | 6–7 | 46% | 0.02 |
 mirage | A | 11 | 6–5 | 55% | -0.02 |
 train | S | 10 | 8–2 | 80% | 0.04 |
 vertigo | A | 5 | 3–2 | 60% | 0.06 |
 dust2 | A | 5 | 3–2 | 60% | 0.01 |
| jura | — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (30% over 23). 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 57% | 1.07 | 15.9 |
| Ancient | 8 | 50% | 1.03 | 18.6 |
| Inferno | 8 | 38% | 1.27 | 17.4 |
| Nuke | 7 | 57% | 1.13 | 19.4 |
| Anubis | 5 | 60% | 1.15 | 16.4 |
| Dust2 | 4 | 50% | 1.08 | 16.5 |
| Train | 2 | 0% | 0.64 | 10.5 |
| Overpass | 1 | 0% | 1.00 | 26.0 |
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
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.3944° — above the 12° mark we flag
- 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 0.4959 — below the 0.5 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 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 4–13 | -0.02 | 22% | 6 Apr → | |
| vertigo | 13–11 | 0.06 | 10% | 29 Jul → | |
| ancient | 10–13 | 0.03 | 17% | 6 Jul → | |
| mirage | 6–13 | -0.06 | 12% | 25 Jun → | |
| dust2 | 10–13 | 0.07 | 12% | 16 Jun → | |
| anubis | 13–8 | 0.02 | 15% | 12 Jun → | |
| inferno | 8–5 | -0.00 | 36% | 7 Jun → | |
| nuke | 13–1 | 0.05 | 14% | 10 May → | |
| jura | 13–1 | 0.09 | 27% | 9 May → | |
| ancient | 8–13 | -0.08 | 3% | 5 May → | |
| train | 13–2 | 0.05 | 4% | 5 May → | |
| vertigo | 5–13 | -0.00 | 14% | 5 May → | |
| mirage | 10–13 | -0.04 | 15% | 5 May → | |
| inferno | 13–6 | 0.00 | 14% | 4 May → | |
| ancient | 13–0 | 0.07 | 14% | 4 May → | |
| vertigo | 13–3 | 0.08 | 24% | 2 May → | |
| vertigo | 13–2 | 0.10 | 13% | 2 May → | |
| inferno | 9–1 | 0.19 | 20% | 2 May → | |
| anubis | 13–10 | 0.06 | 19% | 1 May → | |
| dust2 | 13–3 | -0.02 | 20% | 1 May → | |
| inferno | 3–13 | -0.06 | 21% | 28 Apr → | |
| anubis | 13–8 | -0.02 | 14% | 28 Apr → | |
| mirage | 13–10 | -0.05 | 23% | 28 Apr → | |
| dust2 | 13–9 | 0.01 | 11% | 28 Apr → | |
| ancient | 13–7 | 0.07 | 15% | 27 Apr → | |
| train | 13–10 | 0.08 | 14% | 27 Apr → | |
| train | 13–11 | 0.02 | 13% | 13 Mar → | |
| nuke | 2–0 | 0.23 | 67% | 13 Mar → | |
| inferno | 7–13 | -0.05 | 16% | 8 Mar → | |
| ancient | 14–16 | -0.01 | 13% | 6 Mar → | |
| mirage | 11–13 | 0.00 | 12% | 2 Mar → | |
| ancient | 6–13 | -0.01 | 15% | 2 Mar → | |
| nuke | 9–13 | -0.04 | 14% | 2 Mar → | |
| anubis | 15–15 | 0.08 | 17% | 27 Feb → | |
| vertigo | 12–12 | 0.04 | 19% | 26 Feb → | |
| mirage | 16–12 | 0.04 | 13% | 26 Feb → | |
| nuke | 3–13 | 0.03 | 23% | 26 Feb → | |
| inferno | 3–9 | -0.13 | 19% | 26 Feb → | |
| nuke | 8–13 | -0.00 | 14% | 25 Feb → | |
| ancient | 3–9 | 0.06 | 15% | 25 Feb → | |
| nuke | 13–10 | 0.03 | 27% | 25 Feb → | |
| anubis | 3–13 | -0.04 | 16% | 25 Feb → | |
| ancient | 10–13 | 0.06 | 22% | 24 Feb → | |
| anubis | 13–11 | -0.01 | 17% | 24 Feb → | |
| train | 13–9 | -0.01 | 26% | 24 Feb → | |
| nuke | 13–8 | -0.07 | 7% | 23 Feb → | |
| anubis | 4–13 | -0.05 | 31% | 23 Feb → | |
| inferno | 6–13 | 0.05 | 24% | 23 Feb → | |
| nuke | 10–13 | -0.02 | 13% | 23 Feb → | |
| train | 13–7 | 0.15 | 23% | 23 Feb → | |
| ancient | 2–13 | -0.05 | 26% | 23 Feb → | |
| anubis | 10–13 | 0.00 | 15% | 23 Feb → | |
| inferno | 13–7 | 0.01 | 16% | 22 Feb → | |
| anubis | 9–13 | 0.07 | 21% | 22 Feb → | |
| ancient | 13–11 | 0.03 | 15% | 21 Feb → | |
| train | 13–8 | 0.05 | 18% | 21 Feb → | |
| mirage | 13–6 | -0.03 | 19% | 20 Feb → | |
| dust2 | 13–6 | 0.01 | 20% | 20 Feb → | |
| ancient | 8–13 | -0.03 | 11% | 20 Feb → | |
| mirage | 13–7 | 0.05 | 14% | 19 Feb → | |
| ancient | 13–9 | 0.10 | 11% | 19 Feb → | |
| ancient | 13–16 | 0.00 | 17% | 18 Feb → | |
| mirage | 13–4 | -0.01 | 32% | 18 Feb → | |
| nuke | 10–13 | -0.04 | 29% | 18 Feb → | |
| nuke | 4–13 | 0.02 | 8% | 18 Feb → | |
| inferno | 2–13 | -0.04 | 11% | 18 Feb → | |
| ancient | 11–13 | 0.06 | 11% | 17 Feb → | |
| mirage | 13–6 | 0.03 | 14% | 17 Feb → | |
| anubis | 13–11 | -0.01 | 15% | 17 Feb → | |
| train | 13–8 | 0.04 | 17% | 17 Feb → | |
| anubis | 16–13 | -0.00 | 9% | 16 Feb → | |
| ancient | 11–13 | -0.01 | 10% | 16 Feb → | |
| inferno | 13–9 | 0.02 | 11% | 16 Feb → | |
| ancient | 9–13 | -0.03 | 10% | 16 Feb → | |
| ancient | 13–3 | 0.07 | 9% | 16 Feb → | |
| anubis | 13–6 | 0.00 | 24% | 16 Feb → | |
| train | 11–13 | 0.01 | 17% | 16 Feb → | |
| inferno | 11–13 | 0.02 | 9% | 13 Feb → | |
| ancient | 13–8 | -0.01 | 9% | 13 Feb → | |
| anubis | 13–10 | 0.02 | 17% | 13 Feb → | |
| mirage | 9–13 | -0.04 | 26% | 12 Feb → | |
| anubis | 13–11 | -0.01 | 19% | 12 Feb → | |
| ancient | 13–10 | 0.12 | 10% | 12 Feb → | |
| train | 16–12 | 0.06 | 18% | 11 Feb → | |
| ancient | 11–13 | -0.00 | 9% | 11 Feb → | |
| anubis | 13–7 | 0.08 | 9% | 10 Feb → | |
| nuke | 13–6 | 0.09 | 34% | 10 Feb → | |
| ancient | 9–13 | -0.02 | 14% | 10 Feb → | |
| nuke | 13–1 | 0.10 | 41% | 10 Feb → | |
| inferno | 6–13 | 0.09 | 17% | 10 Feb → | |
| ancient | 6–13 | 0.01 | 15% | 7 Feb → | |
| inferno | 13–0 | 0.03 | 14% | 7 Feb → | |
| dust2 | 6–13 | -0.03 | 13% | 7 Feb → | |
| anubis | 13–11 | -0.00 | 13% | 6 Feb → | |
| train | 0–13 | -0.03 | 14% | 6 Feb → | |
| mirage | 3–13 | -0.06 | 27% | 5 Feb → | |
| nuke | 4–13 | -0.08 | 19% | 4 Feb → | |
| anubis | 9–13 | 0.04 | 13% | 4 Feb → | |
| anubis | 15–15 | -0.03 | 10% | 31 Jul → | |
| inferno | 4–9 | -0.08 | 10% | 2 May → |
Match data via Leetify.