koosh — CS2 Stats
76561199529564189[U:1:1569298461]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.01 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 79% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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. 613ms 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 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
 inferno | B | 21 | 10–11 | 48% | 0.01 |
 vertigo | B | 14 | 7–7 | 50% | -0.01 |
 mirage | B | 13 | 6–7 | 46% | 0.01 |
 nuke | D | 12 | 4–8 | 33% | 0.01 |
 dust2 | B | 11 | 5–6 | 45% | -0.00 |
 anubis | A | 10 | 6–4 | 60% | 0.02 |
 ancient | B | 8 | 4–4 | 50% | 0.01 |
 cache | D | 6 | 2–4 | 33% | -0.00 |
| office | S | 5 | 4–1 | 80% | -0.02 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 3 | 33% | 0.56 | 8.7 |
| Mirage | 2 | 50% | 0.92 | 15.0 |
| Dust2 | 1 | 0% | 0.88 | 14.0 |
| Inferno | 1 | 100% | 1.00 | 15.0 |
| Nuke | 1 | 100% | 1.71 | 12.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 8.4602% — below the 15% 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 0.4386 — below the 0.5 mark we flag
- 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 30.9803% — 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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–1 | 0.09 | 8% | 28 Aug → | |
| anubis | 6–13 | -0.05 | 5% | 28 Aug → | |
| ancient | 11–13 | -0.02 | 16% | 28 Aug → | |
| anubis | 13–9 | 0.05 | 10% | 28 Aug → | |
| inferno | 13–4 | 0.14 | 11% | 27 Aug → | |
| inferno | 6–13 | -0.10 | 0% | 27 Aug → | |
| nuke | 12–12 | -0.09 | 8% | 27 Aug → | |
| anubis | 3–13 | 0.03 | 5% | 27 Aug → | |
| anubis | 13–3 | 0.03 | 10% | 27 Aug → | |
| dust2 | 5–13 | -0.04 | 6% | 27 Aug → | |
| anubis | 8–13 | -0.03 | 17% | 27 Aug → | |
| anubis | 13–10 | 0.06 | 5% | 26 Aug → | |
| nuke | 13–6 | 0.06 | 16% | 26 Aug → | |
| anubis | 13–6 | 0.02 | 2% | 26 Aug → | |
| anubis | 13–4 | 0.04 | 10% | 26 Aug → | |
| vertigo | 3–13 | -0.05 | 15% | 26 Aug → | |
| office | 4–13 | -0.12 | 3% | 26 Aug → | |
| cache | 9–13 | -0.06 | 3% | 26 Aug → | |
| office | 13–9 | 0.00 | 13% | 25 Aug → | |
| vertigo | 3–13 | -0.02 | 14% | 24 Aug → | |
| dust2 | 9–13 | -0.05 | 9% | 24 Aug → | |
| vertigo | 9–4 | -0.07 | 0% | 24 Aug → | |
| office | 9–3 | 0.03 | 9% | 23 Aug → | |
| dust2 | 13–5 | 0.02 | 7% | 23 Aug → | |
| dust2 | 13–8 | 0.04 | 9% | 22 Aug → | |
| ancient | 1–13 | -0.09 | 6% | 21 Aug → | |
| inferno | 9–13 | -0.05 | 3% | 20 Aug → | |
| mirage | 13–11 | 0.06 | 11% | 19 Aug → | |
| ancient | 4–13 | -0.09 | 18% | 18 Aug → | |
| ancient | 13–3 | 0.02 | 4% | 18 Aug → | |
| ancient | 13–8 | 0.03 | 12% | 18 Aug → | |
| inferno | 13–7 | 0.01 | 16% | 18 Aug → | |
| mirage | 5–13 | -0.11 | 10% | 18 Aug → | |
| office | 13–9 | -0.03 | 5% | 17 Aug → | |
| vertigo | 13–10 | -0.01 | 18% | 17 Aug → | |
| inferno | 13–6 | 0.01 | 9% | 17 Aug → | |
| mirage | 13–7 | 0.00 | 5% | 16 Aug → | |
| dust2 | 13–11 | 0.06 | 10% | 12 Aug → | |
| dust2 | 13–4 | 0.06 | 8% | 12 Aug → | |
| dust2 | 13–5 | 0.03 | 21% | 10 Aug → | |
| dust2 | 3–13 | -0.07 | 0% | 10 Aug → | |
| anubis | 13–1 | 0.06 | 5% | 9 Aug → | |
| mirage | 9–13 | -0.03 | 6% | 7 Aug → | |
| vertigo | 13–9 | 0.01 | 4% | 7 Aug → | |
| mirage | 13–10 | 0.13 | 7% | 7 Aug → | |
| vertigo | 12–12 | 0.00 | 9% | 7 Aug → | |
| inferno | 10–13 | 0.11 | 7% | 7 Aug → | |
| inferno | 10–13 | 0.00 | 3% | 7 Aug → | |
| mirage | 7–13 | -0.13 | 3% | 7 Aug → | |
| mirage | 6–13 | 0.02 | 5% | 7 Aug → | |
| inferno | 9–13 | -0.02 | 5% | 6 Aug → | |
| inferno | 4–13 | 0.00 | 5% | 6 Aug → | |
| inferno | 13–7 | -0.06 | 0% | 6 Aug → | |
| inferno | 11–13 | 0.08 | 8% | 6 Aug → | |
| inferno | 13–3 | -0.03 | 11% | 6 Aug → | |
| inferno | 13–10 | -0.02 | 7% | 6 Aug → | |
| nuke | 13–4 | -0.03 | 0% | 5 Aug → | |
| inferno | 12–12 | 0.04 | 14% | 4 Aug → | |
| vertigo | 13–7 | -0.02 | 10% | 4 Aug → | |
| vertigo | 13–3 | -0.01 | 3% | 4 Aug → | |
| mirage | 13–1 | 0.12 | 7% | 4 Aug → | |
| vertigo | 6–10 | 0.01 | 19% | 3 Aug → | |
| inferno | 13–9 | -0.01 | 2% | 3 Aug → | |
| dust2 | 2–13 | -0.05 | 0% | 3 Aug → | |
| vertigo | 8–13 | -0.03 | 7% | 3 Aug → | |
| inferno | 13–6 | 0.08 | 3% | 3 Aug → | |
| vertigo | 12–12 | -0.09 | 0% | 1 Aug → | |
| anubis | 10–13 | 0.01 | 3% | 1 Aug → | |
| dust2 | 9–13 | -0.05 | 3% | 31 Jul → | |
| dust2 | 2–13 | 0.02 | 12% | 31 Jul → | |
| nuke | 4–13 | 0.05 | 6% | 31 Jul → | |
| nuke | 7–13 | -0.07 | 10% | 31 Jul → | |
| nuke | 11–13 | -0.01 | 10% | 31 Jul → | |
| nuke | 13–3 | 0.09 | 12% | 31 Jul → | |
| nuke | 13–5 | 0.05 | 3% | 31 Jul → | |
| mirage | 5–8 | 0.01 | 25% | 31 Jul → | |
| cache | 6–13 | -0.04 | 9% | 30 Jul → | |
| cache | 12–12 | 0.10 | 4% | 29 Jul → | |
| cache | 8–13 | -0.03 | 6% | 29 Jul → | |
| cache | 13–3 | 0.04 | 4% | 29 Jul → | |
| inferno | 10–13 | 0.01 | 11% | 29 Jul → | |
| office | 13–5 | 0.02 | 9% | 29 Jul → | |
| vertigo | 13–10 | 0.08 | 7% | 29 Jul → | |
| nuke | 3–13 | 0.00 | 13% | 28 Jul → | |
| nuke | 5–13 | -0.04 | 1% | 28 Jul → | |
| inferno | 3–13 | 0.03 | 2% | 27 Jul → | |
| mirage | 9–13 | -0.06 | 17% | 27 Jul → | |
| ancient | 13–9 | 0.08 | 4% | 27 Jul → | |
| mirage | 5–13 | -0.03 | 9% | 27 Jul → | |
| ancient | 10–13 | 0.11 | 5% | 24 Jul → | |
| ancient | 13–10 | 0.07 | 4% | 24 Jul → | |
| mirage | 13–2 | 0.05 | 8% | 24 Jul → | |
| nuke | 11–13 | -0.01 | 6% | 24 Jul → | |
| vertigo | 7–13 | -0.01 | 10% | 23 Jul → | |
| nuke | 12–12 | 0.11 | 9% | 23 Jul → | |
| inferno | 13–8 | 0.01 | 3% | 23 Jul → | |
| inferno | 13–5 | -0.01 | 6% | 23 Jul → | |
| inferno | 5–13 | -0.02 | 0% | 23 Jul → | |
| vertigo | 13–9 | 0.05 | 7% | 23 Jul → | |
| cache | 13–8 | -0.02 | 7% | 23 Jul → |
Match data via Leetify.
