kuro — CS2 Stats
76561197980330472[U:1:20064744]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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 65.9% | 52.8% | above |
| Shot accuracy | 7.0% | 13.7% | 6.7% short |
| Kill/death ratio | 1.12 | 1.08 | above |
| Match win rate | 111.0% | 49.2% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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: -40pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 sh1ro 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.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| A | 19 | 11–8 | 58% | 0.03 | |
| B | 19 | 10–9 | 53% | 0.04 | |
| B | 17 | 8–9 | 47% | 0.03 | |
| A | 14 | 9–5 | 64% | 0.05 | |
| C | 12 | 5–7 | 42% | 0.04 | |
| C | 10 | 4–6 | 40% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.07 | |
| — | 1 | 1–0 | 100% | 0.07 | |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 36 | 67% | 1.45 | 19.5 |
| Dust2 | 16 | 81% | 1.46 | 18.0 |
| Anubis | 15 | 47% | 1.37 | 18.9 |
| Inferno | 14 | 71% | 1.92 | 18.1 |
| Ancient | 14 | 57% | 1.49 | 19.4 |
| Vertigo | 12 | 50% | 1.56 | 22.3 |
| Nuke | 11 | 64% | 1.26 | 18.6 |
| Cache | 8 | 75% | 1.54 | 20.8 |
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 | |
|---|---|---|---|---|---|
| 9–13 | 0.01 | 20% | 28 Aug → | ||
| 8–13 | 0.06 | 21% | 28 Aug → | ||
| 9–13 | 0.06 | 17% | 28 Aug → | ||
| 14–16 | 0.10 | 20% | 24 Aug → | ||
| 1–6 | 0.06 | 54% | 24 Aug → | ||
| 5–13 | 0.06 | 19% | 24 Aug → | ||
| 12–12 | 0.02 | 11% | 21 Aug → | ||
| 11–13 | 0.09 | 17% | 21 Aug → | ||
| 12–12 | -0.04 | 13% | 19 Aug → | ||
| 13–1 | 0.11 | 34% | 19 Aug → | ||
| 6–13 | 0.01 | 21% | 19 Aug → | ||
| 13–6 | 0.01 | 17% | 19 Aug → | ||
| 10–13 | 0.04 | 14% | 19 Aug → | ||
| 5–13 | 0.06 | 27% | 19 Aug → | ||
| 13–7 | 0.09 | 39% | 19 Aug → | ||
| 14–16 | -0.01 | 20% | 19 Aug → | ||
| 13–7 | 0.09 | 23% | 14 Aug → | ||
| 13–11 | 0.05 | 36% | 14 Aug → | ||
| 10–13 | 0.09 | 28% | 14 Aug → | ||
| 13–11 | -0.05 | 29% | 14 Aug → | ||
| 7–13 | 0.03 | 21% | 13 Aug → | ||
| 13–10 | 0.07 | 35% | 13 Aug → | ||
| 13–3 | 0.15 | 26% | 12 Aug → | ||
| 16–13 | 0.03 | 26% | 12 Aug → | ||
| 15–15 | 0.11 | 25% | 11 Aug → | ||
| 13–6 | -0.01 | 20% | 11 Aug → | ||
| 13–0 | 0.11 | 30% | 11 Aug → | ||
| 9–13 | -0.00 | 27% | 11 Aug → | ||
| 13–9 | -0.03 | 30% | 11 Aug → | ||
| 13–2 | 0.09 | 30% | 11 Aug → | ||
| 10–13 | -0.02 | 23% | 11 Aug → | ||
| 7–13 | 0.01 | 27% | 10 Aug → | ||
| 13–3 | 0.04 | 28% | 10 Aug → | ||
| 7–13 | -0.04 | 21% | 10 Aug → | ||
| 7–13 | -0.00 | 28% | 10 Aug → | ||
| 11–13 | 0.12 | 31% | 9 Aug → | ||
| 13–9 | -0.02 | 21% | 9 Aug → | ||
| 13–6 | -0.03 | 26% | 9 Aug → | ||
| 9–13 | 0.05 | 20% | 9 Aug → | ||
| 13–16 | 0.05 | 16% | 9 Aug → | ||
| 11–13 | -0.02 | 14% | 9 Aug → | ||
| 9–13 | 0.04 | 22% | 9 Aug → | ||
| 13–4 | 0.14 | 33% | 9 Aug → | ||
| 13–8 | 0.02 | 30% | 9 Aug → | ||
| 11–13 | -0.04 | 42% | 9 Aug → | ||
| 13–6 | -0.03 | 20% | 9 Aug → | ||
| 13–8 | 0.01 | 16% | 8 Aug → | ||
| 7–13 | -0.02 | 27% | 8 Aug → | ||
| 13–10 | -0.03 | 27% | 8 Aug → | ||
| 13–5 | 0.07 | 10% | 8 Aug → | ||
| 15–15 | 0.07 | 32% | 7 Aug → | ||
| 13–3 | 0.08 | 27% | 7 Aug → | ||
| 11–13 | 0.11 | 26% | 7 Aug → | ||
| 13–4 | 0.11 | 33% | 7 Aug → | ||
| 3–13 | 0.02 | 21% | 7 Aug → | ||
| 10–13 | 0.05 | 35% | 6 Aug → | ||
| 13–5 | 0.09 | 17% | 6 Aug → | ||
| 13–11 | 0.07 | 38% | 6 Aug → | ||
| 13–16 | 0.14 | 20% | 5 Aug → | ||
| 10–13 | -0.00 | 11% | 5 Aug → | ||
| 6–13 | 0.05 | 28% | 31 Jul → | ||
| 13–8 | 0.04 | 27% | 31 Jul → | ||
| 16–12 | 0.05 | 25% | 31 Jul → | ||
| 13–3 | -0.00 | 12% | 30 Jul → | ||
| 13–16 | -0.00 | 17% | 30 Jul → | ||
| 13–6 | 0.02 | 15% | 30 Jul → | ||
| 16–13 | 0.01 | 19% | 29 Jul → | ||
| 18–22 | -0.03 | 11% | 29 Jul → | ||
| 13–10 | 0.02 | 24% | 29 Jul → | ||
| 12–1 | 0.06 | 25% | 29 Jul → | ||
| 1–13 | -0.03 | 29% | 28 Jul → | ||
| 13–9 | 0.05 | 24% | 28 Jul → | ||
| 8–13 | 0.03 | 28% | 26 Jul → | ||
| 12–12 | 0.04 | 21% | 25 Jul → | ||
| 13–9 | 0.03 | 40% | 25 Jul → | ||
| 8–13 | 0.03 | 35% | 25 Jul → | ||
| 13–7 | 0.07 | 13% | 24 Jul → | ||
| 13–4 | 0.09 | 33% | 24 Jul → | ||
| 13–10 | 0.03 | 25% | 23 Jul → | ||
| 13–9 | 0.11 | 25% | 23 Jul → | ||
| 17–19 | 0.07 | 24% | 22 Jul → | ||
| 13–11 | -0.02 | 26% | 22 Jul → | ||
| 13–4 | 0.09 | 12% | 20 Jul → | ||
| 13–11 | 0.06 | 23% | 19 Jul → | ||
| 8–13 | -0.00 | 14% | 19 Jul → | ||
| 13–1 | 0.14 | 20% | 19 Jul → | ||
| 16–13 | 0.05 | 27% | 18 Jul → | ||
| 13–5 | -0.03 | 24% | 18 Jul → | ||
| 13–3 | 0.00 | 17% | 18 Jul → | ||
| 2–13 | -0.05 | 33% | 18 Jul → | ||
| 9–2 | 0.04 | 33% | 17 Jul → | ||
| 13–9 | 0.09 | 32% | 16 Jul → | ||
| 16–14 | 0.02 | 15% | 15 Jul → | ||
| 8–13 | 0.04 | 14% | 15 Jul → | ||
| 13–11 | 0.04 | 21% | 15 Jul → | ||
| 8–13 | -0.02 | 22% | 15 Jul → | ||
| 7–13 | 0.00 | 22% | 15 Jul → | ||
| 9–13 | -0.02 | 29% | 14 Jul → | ||
| 13–1 | 0.07 | 26% | 14 Jul → | ||
| 13–11 | 0.06 | 14% | 14 Jul → |
Match data via Leetify.