korosu — CS2 Stats
76561198051868585[U:1:91602857]Steam profile ↗✓ No bans
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 | 50.7% | 52.8% |
| Shot accuracy | 16.5% | 13.7% |
| Kill/death ratio | 1.35 | 1.08 |
| Match win rate | 46.2% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 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 donk 96% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 592ms 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 6.3/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 19 | 10–9 | 53% | 0.05 | |
| A | 15 | 9–6 | 60% | 0.07 | |
| B | 13 | 6–7 | 46% | 0.05 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| C | 9 | 4–5 | 44% | 0.04 | |
| S | 9 | 6–3 | 67% | 0.08 | |
| fachwerk | D | 7 | 2–5 | 29% | 0.06 |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.16 | |
| — | 3 | 2–1 | 67% | 0.08 | |
| warden | — | 3 | 2–1 | 67% | 0.05 |
| — | 3 | 3–0 | 100% | 0.03 | |
| boulder | — | 2 | 0–2 | 0% | 0.04 |
Across the last 100 tracked matches.
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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 39 | 54% | 1.22 | 18.3 |
| Inferno | 34 | 50% | 1.22 | 18.3 |
| Dust2 | 29 | 55% | 1.24 | 18.7 |
| Anubis | 24 | 54% | 1.15 | 17.5 |
| Ancient | 19 | 74% | 1.21 | 15.7 |
| Overpass | 8 | 62% | 1.37 | 17.9 |
| Cache | 4 | 50% | 1.02 | 20.8 |
| Nuke | 3 | 0% | 0.79 | 13.0 |
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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.00 | 30% | 10 Aug → | ||
| 7–9 | -0.09 | 20% | 7 Aug → | ||
| 9–2 | 0.34 | 44% | 7 Aug → | ||
| 4–13 | 0.13 | 34% | 23 Jul → | ||
| 8–13 | 0.00 | 26% | 23 Jul → | ||
| 13–2 | 0.14 | 24% | 23 Jul → | ||
| 13–16 | 0.08 | 38% | 23 Jul → | ||
| 9–0 | 0.06 | 18% | 23 Jul → | ||
| 11–13 | 0.03 | 35% | 22 Jul → | ||
| 7–9 | -0.13 | 10% | 22 Jul → | ||
| 3–9 | -0.05 | 33% | 22 Jul → | ||
| 9–4 | 0.10 | 41% | 22 Jul → | ||
| 3–13 | -0.06 | 40% | 22 Jul → | ||
| 13–5 | 0.09 | 22% | 22 Jul → | ||
| 13–4 | -0.00 | 43% | 22 Jul → | ||
| 16–14 | 0.05 | 41% | 18 Jul → | ||
| fachwerk | 4–13 | 0.06 | 30% | 18 Jul → | |
| 13–7 | 0.06 | 37% | 17 Jul → | ||
| 2–0 | 0.05 | 100% | 17 Jul → | ||
| 10–13 | 0.06 | 33% | 17 Jul → | ||
| 4–13 | 0.05 | 47% | 17 Jul → | ||
| 13–9 | 0.14 | 46% | 17 Jul → | ||
| fachwerk | 6–13 | -0.01 | 29% | 17 Jul → | |
| 13–5 | 0.16 | 54% | 17 Jul → | ||
| 11–13 | 0.09 | 35% | 17 Jul → | ||
| 1–8 | 0.11 | 26% | 17 Jul → | ||
| 12–12 | 0.04 | 35% | 17 Jul → | ||
| 10–13 | 0.03 | 29% | 16 Jul → | ||
| 11–13 | 0.02 | 30% | 16 Jul → | ||
| 13–5 | 0.08 | 37% | 16 Jul → | ||
| 13–3 | 0.22 | 40% | 16 Jul → | ||
| 8–13 | -0.01 | 35% | 15 Jul → | ||
| 13–3 | 0.24 | 34% | 13 Jul → | ||
| 13–10 | 0.06 | 46% | 13 Jul → | ||
| 11–13 | 0.03 | 37% | 13 Jul → | ||
| 11–13 | 0.11 | 33% | 13 Jul → | ||
| 12–12 | 0.02 | 30% | 13 Jul → | ||
| fachwerk | 13–7 | 0.15 | 48% | 13 Jul → | |
| 8–13 | -0.02 | 32% | 13 Jul → | ||
| 13–5 | 0.07 | 38% | 12 Jul → | ||
| 13–11 | 0.02 | 29% | 12 Jul → | ||
| 13–8 | 0.11 | 36% | 12 Jul → | ||
| fachwerk | 11–13 | 0.03 | 29% | 11 Jul → | |
| fachwerk | 13–2 | 0.09 | 53% | 11 Jul → | |
| 7–13 | -0.00 | 38% | 11 Jul → | ||
| 12–12 | 0.09 | 40% | 11 Jul → | ||
| 7–13 | 0.04 | 36% | 11 Jul → | ||
| 13–7 | 0.04 | 34% | 11 Jul → | ||
| 12–12 | 0.09 | 36% | 11 Jul → | ||
| 13–9 | 0.01 | 31% | 10 Jul → | ||
| fachwerk | 8–13 | 0.06 | 27% | 10 Jul → | |
| boulder | 12–12 | 0.03 | 35% | 10 Jul → | |
| boulder | 11–13 | 0.04 | 27% | 10 Jul → | |
| 5–13 | 0.11 | 22% | 10 Jul → | ||
| 13–2 | -0.02 | 40% | 10 Jul → | ||
| fachwerk | 12–12 | 0.08 | 56% | 10 Jul → | |
| 13–9 | 0.01 | 32% | 29 Jun → | ||
| 14–16 | 0.05 | 34% | 24 Jun → | ||
| 15–19 | -0.03 | 24% | 5 Jun → | ||
| 16–12 | 0.01 | 36% | 5 Jun → | ||
| 13–11 | -0.03 | 19% | 5 Jun → | ||
| 8–13 | 0.01 | 21% | 5 Jun → | ||
| warden | 9–13 | 0.01 | 43% | 5 Jun → | |
| 13–1 | 0.11 | 25% | 4 Jun → | ||
| 13–8 | 0.02 | 37% | 4 Jun → | ||
| 12–12 | 0.08 | 51% | 4 Jun → | ||
| 3–7 | 0.03 | 57% | 4 Jun → | ||
| 13–6 | 0.01 | 35% | 4 Jun → | ||
| 16–13 | 0.00 | 19% | 4 Jun → | ||
| 13–8 | -0.05 | 31% | 4 Jun → | ||
| 13–10 | 0.03 | 39% | 1 Jun → | ||
| 13–8 | 0.03 | 29% | 1 Jun → | ||
| 13–3 | 0.20 | 35% | 1 Jun → | ||
| 13–9 | 0.02 | 44% | 1 Jun → | ||
| 11–13 | 0.05 | 22% | 26 May → | ||
| 10–13 | 0.11 | 39% | 26 May → | ||
| warden | 13–5 | 0.09 | 31% | 26 May → | |
| 13–1 | 0.22 | 25% | 26 May → | ||
| 13–16 | -0.03 | 19% | 25 May → | ||
| 10–13 | 0.01 | 33% | 25 May → | ||
| 13–8 | 0.07 | 19% | 25 May → | ||
| 7–13 | -0.05 | 37% | 25 May → | ||
| 9–13 | -0.07 | 22% | 25 May → | ||
| 13–10 | 0.10 | 40% | 25 May → | ||
| 13–10 | 0.01 | 15% | 24 May → | ||
| 16–12 | 0.04 | 22% | 24 May → | ||
| 11–13 | 0.03 | 34% | 24 May → | ||
| 13–11 | 0.07 | 26% | 23 May → | ||
| 10–13 | 0.04 | 42% | 23 May → | ||
| 6–1 | 0.08 | 48% | 23 May → | ||
| 11–13 | 0.04 | 26% | 21 May → | ||
| 13–3 | 0.20 | 19% | 21 May → | ||
| 8–13 | 0.02 | 35% | 21 May → | ||
| 13–5 | 0.06 | 33% | 21 May → | ||
| warden | 13–11 | 0.05 | 46% | 20 May → | |
| 13–4 | 0.12 | 43% | 20 May → | ||
| 13–3 | 0.14 | 29% | 20 May → | ||
| 12–12 | 0.04 | 21% | 19 May → | ||
| 13–7 | 0.20 | 37% | 19 May → | ||
| 13–10 | 0.06 | 27% | 19 May → |
Match data via Leetify.