kurt köpek — CS2 Stats
76561197981546947[U:1:21281219]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 51.1% | 52.0% |
| Shot accuracy | 14.3% | 13.7% |
| Kill/death ratio | 1.19 | 1.08 |
| Match win rate | 47.2% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerHigh utility contribution
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 Twistzz 93% playstyle similarity
Most alike: positioning profile, 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
Strengths
Utility. Utility score of 78 — grenade impact well above the norm.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 12.1° off target when enemies appear — placement, not flicking, is the bigger win available.
T-side openings. Opening success drops from 57% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 597ms 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 7.0/10 (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 |
|---|---|---|---|---|---|
| S | 34 | 22–12 | 65% | 0.03 | |
| S | 26 | 18–8 | 69% | 0.02 | |
| A | 26 | 16–10 | 62% | 0.00 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| — | 3 | 1–2 | 33% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.06 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (62% over 26). Start with the 6 essential Inferno 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 resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 199 | 53% | 1.11 | 15.4 |
| Ancient | 181 | 57% | 1.10 | 15.5 |
| Anubis | 171 | 57% | 1.12 | 16.4 |
| Nuke | 160 | 66% | 1.33 | 15.4 |
| Dust2 | 75 | 40% | 0.98 | 14.1 |
| Overpass | 52 | 54% | 1.09 | 15.1 |
| Mirage | 32 | 25% | 0.85 | 13.4 |
| Cache | 15 | 73% | 1.65 | 18.3 |
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1131° — above the 12° mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.03 | 16% | 21 Aug → | ||
| 13–10 | 0.04 | 20% | 20 Aug → | ||
| 13–4 | 0.03 | 9% | 20 Aug → | ||
| 13–7 | -0.05 | 20% | 20 Aug → | ||
| 13–6 | 0.00 | 12% | 20 Aug → | ||
| 2–13 | -0.07 | 9% | 20 Aug → | ||
| 11–13 | -0.02 | 17% | 18 Aug → | ||
| 13–8 | 0.00 | 13% | 10 Aug → | ||
| 13–10 | 0.01 | 23% | 10 Aug → | ||
| 13–2 | 0.08 | 19% | 10 Aug → | ||
| 4–13 | -0.09 | 16% | 9 Aug → | ||
| 13–5 | 0.09 | 20% | 9 Aug → | ||
| 6–0 | 0.12 | 50% | 9 Aug → | ||
| 5–13 | -0.05 | 10% | 8 Aug → | ||
| 13–9 | 0.07 | 26% | 8 Aug → | ||
| 13–2 | -0.01 | 25% | 7 Aug → | ||
| 13–2 | 0.05 | 23% | 7 Aug → | ||
| 4–13 | 0.02 | 23% | 7 Aug → | ||
| 10–13 | 0.00 | 24% | 6 Aug → | ||
| 10–13 | -0.01 | 17% | 5 Aug → | ||
| 13–9 | -0.04 | 19% | 5 Aug → | ||
| 13–3 | 0.06 | 8% | 5 Aug → | ||
| 11–13 | -0.02 | 17% | 5 Aug → | ||
| 9–13 | -0.00 | 14% | 4 Aug → | ||
| 10–13 | 0.00 | 24% | 3 Aug → | ||
| 12–16 | 0.00 | 12% | 3 Aug → | ||
| 8–13 | -0.02 | 15% | 29 Jul → | ||
| 5–13 | -0.05 | 16% | 29 Jul → | ||
| 13–10 | 0.04 | 13% | 29 Jul → | ||
| 16–13 | 0.02 | 14% | 28 Jul → | ||
| 13–9 | -0.01 | 23% | 28 Jul → | ||
| 13–11 | 0.02 | 19% | 28 Jul → | ||
| 13–9 | 0.05 | 13% | 28 Jul → | ||
| 13–9 | 0.02 | 23% | 27 Jul → | ||
| 22–18 | 0.09 | 18% | 26 Jul → | ||
| 13–1 | 0.09 | 21% | 26 Jul → | ||
| 13–11 | -0.00 | 28% | 26 Jul → | ||
| 13–7 | 0.06 | 19% | 26 Jul → | ||
| 8–13 | -0.02 | 21% | 26 Jul → | ||
| 13–6 | 0.04 | 21% | 25 Jul → | ||
| 0–2 | -0.09 | 0% | 25 Jul → | ||
| 2–2 | 0.08 | 71% | 25 Jul → | ||
| 13–11 | -0.05 | 14% | 25 Jul → | ||
| 13–5 | 0.03 | 17% | 24 Jul → | ||
| 9–4 | 0.01 | 5% | 24 Jul → | ||
| 13–9 | -0.01 | 17% | 24 Jul → | ||
| 13–1 | 0.09 | 24% | 24 Jul → | ||
| 13–4 | -0.02 | 12% | 24 Jul → | ||
| 13–11 | 0.06 | 21% | 24 Jul → | ||
| 13–7 | 0.05 | 23% | 24 Jul → | ||
| 9–13 | 0.01 | 22% | 24 Jul → | ||
| 12–12 | 0.07 | 31% | 24 Jul → | ||
| 3–13 | -0.07 | 10% | 18 Jul → | ||
| 7–13 | 0.03 | 16% | 18 Jul → | ||
| 10–13 | 0.03 | 18% | 17 Jul → | ||
| 12–12 | -0.03 | 23% | 17 Jul → | ||
| 6–13 | -0.05 | 17% | 17 Jul → | ||
| 13–6 | 0.03 | 14% | 17 Jul → | ||
| 1–13 | -0.07 | 0% | 17 Jul → | ||
| 13–5 | -0.02 | 2% | 17 Jul → | ||
| 13–5 | 0.03 | 29% | 17 Jul → | ||
| 9–4 | -0.05 | 14% | 16 Jul → | ||
| 13–0 | -0.02 | 20% | 16 Jul → | ||
| 13–11 | 0.06 | 16% | 16 Jul → | ||
| 13–11 | 0.02 | 14% | 15 Jul → | ||
| 3–13 | -0.01 | 34% | 15 Jul → | ||
| 13–2 | 0.07 | 22% | 14 Jul → | ||
| 13–11 | 0.00 | 14% | 14 Jul → | ||
| 13–11 | 0.00 | 14% | 13 Jul → | ||
| 13–5 | 0.10 | 17% | 13 Jul → | ||
| 13–6 | 0.07 | 21% | 12 Jul → | ||
| 6–13 | 0.02 | 13% | 12 Jul → | ||
| 4–13 | 0.05 | 17% | 12 Jul → | ||
| 13–7 | 0.05 | 13% | 12 Jul → | ||
| 13–10 | 0.03 | 26% | 12 Jul → | ||
| 13–5 | 0.00 | 15% | 12 Jul → | ||
| 13–7 | -0.01 | 19% | 11 Jul → | ||
| 13–4 | -0.02 | 12% | 11 Jul → | ||
| 13–11 | 0.09 | 17% | 11 Jul → | ||
| 9–13 | 0.06 | 22% | 11 Jul → | ||
| 6–13 | 0.01 | 19% | 10 Jul → | ||
| 11–13 | -0.04 | 27% | 10 Jul → | ||
| 13–3 | 0.12 | 29% | 9 Jul → | ||
| 13–16 | -0.01 | 17% | 9 Jul → | ||
| 13–6 | 0.08 | 40% | 7 Jul → | ||
| 13–10 | 0.06 | 14% | 7 Jul → | ||
| 12–12 | -0.05 | 18% | 7 Jul → | ||
| 13–10 | 0.02 | 22% | 7 Jul → | ||
| 10–13 | -0.05 | 24% | 5 Jul → | ||
| 13–8 | -0.01 | 25% | 2 Jul → | ||
| 13–10 | 0.01 | 12% | 28 Jun → | ||
| 13–3 | 0.03 | 17% | 26 Jun → | ||
| 0–3 | -0.11 | 0% | 26 Jun → | ||
| 10–13 | 0.02 | 24% | 26 Jun → | ||
| 13–8 | -0.01 | 10% | 24 Jun → | ||
| 13–4 | 0.10 | 28% | 24 Jun → | ||
| 13–7 | 0.08 | 23% | 22 Jun → | ||
| 8–13 | -0.03 | 17% | 22 Jun → | ||
| 13–7 | 0.04 | 27% | 21 Jun → | ||
| 10–13 | -0.05 | 22% | 21 Jun → |
Match data via Leetify.
Recent teammates
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