Cafur — CS2 Stats
76561198002760005[U:1:42494277]✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 37.0% | 47.0% | 48.5% | 11.5% short |
| Shot accuracy | 11.4% | 12.7% | 13.3% | 1.8% short |
| Kill/death ratio | 0.94 | 1.07 | 1.07 | 0.13 short |
| Match win rate | 47.9% | 46.4% | 47.0% | meets |
This profile matches the typical Level 9 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: +0pp win rate · -0.00 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 80% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; lower aim 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
Areas to improve
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 5.3/10 (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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | -0.00 | |
| S | 21 | 14–7 | 67% | -0.01 | |
| B | 19 | 10–9 | 53% | 0.00 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.00 | |
| D | 5 | 0–5 | 0% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage 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 resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 28 | 57% | 1.13 | 16.5 |
| Mirage | 26 | 54% | 0.96 | 14.6 |
| Ancient | 25 | 68% | 0.90 | 13.4 |
| Nuke | 11 | 64% | 1.08 | 12.8 |
| Cache | 10 | 80% | 1.06 | 15.3 |
| Inferno | 7 | 86% | 1.08 | 12.4 |
| Vertigo | 7 | 57% | 0.91 | 11.6 |
| Overpass | 6 | 50% | 0.90 | 14.0 |
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 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 28.6893% — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | -0.06 | 14% | 13 Jul → | ||
| 13–6 | -0.06 | 28% | 13 Jul → | ||
| 13–3 | -0.03 | 22% | 12 Jul → | ||
| 5–13 | 0.03 | 20% | 11 Jul → | ||
| 9–13 | -0.03 | 24% | 11 Jul → | ||
| 13–11 | 0.04 | 22% | 11 Jul → | ||
| 13–10 | -0.02 | 16% | 11 Jul → | ||
| 13–11 | -0.01 | 23% | 10 Jul → | ||
| 11–13 | 0.02 | 18% | 10 Jul → | ||
| 13–11 | -0.02 | 15% | 8 Jul → | ||
| 13–6 | 0.01 | 20% | 8 Jul → | ||
| 14–16 | -0.06 | 17% | 7 Jul → | ||
| 6–13 | -0.05 | 19% | 7 Jul → | ||
| 13–8 | 0.01 | 9% | 7 Jul → | ||
| 13–6 | -0.03 | 18% | 7 Jul → | ||
| 8–13 | 0.01 | 17% | 7 Jul → | ||
| 13–3 | 0.04 | 14% | 7 Jul → | ||
| 8–13 | -0.05 | 12% | 6 Jul → | ||
| 13–9 | 0.04 | 14% | 6 Jul → | ||
| 13–4 | -0.01 | 6% | 5 Jul → | ||
| 9–13 | -0.09 | 33% | 5 Jul → | ||
| 13–11 | -0.01 | 11% | 5 Jul → | ||
| 13–5 | -0.03 | 10% | 5 Jul → | ||
| 9–13 | -0.02 | 10% | 5 Jul → | ||
| 13–7 | 0.03 | 13% | 3 Jul → | ||
| 7–13 | -0.08 | 13% | 2 Jul → | ||
| 13–11 | -0.01 | 17% | 2 Jul → | ||
| 13–8 | -0.03 | 14% | 2 Jul → | ||
| 16–19 | -0.01 | 23% | 2 Jul → | ||
| 13–10 | 0.02 | 13% | 2 Jul → | ||
| 11–13 | 0.00 | 13% | 2 Jul → | ||
| 4–13 | -0.05 | 19% | 1 Jul → | ||
| 21–25 | -0.05 | 14% | 1 Jul → | ||
| 10–13 | 0.03 | 13% | 28 Jun → | ||
| 13–10 | 0.03 | 25% | 28 Jun → | ||
| 9–13 | -0.03 | 17% | 27 Jun → | ||
| 25–23 | 0.01 | 11% | 26 Jun → | ||
| 5–13 | -0.04 | 20% | 26 Jun → | ||
| 8–13 | -0.03 | 38% | 26 Jun → | ||
| 3–13 | -0.07 | 12% | 26 Jun → | ||
| 13–3 | 0.13 | 14% | 26 Jun → | ||
| 13–11 | -0.03 | 19% | 24 Jun → | ||
| 13–5 | 0.05 | 33% | 24 Jun → | ||
| 13–1 | -0.03 | 11% | 24 Jun → | ||
| 15–19 | -0.01 | 18% | 24 Jun → | ||
| 3–13 | -0.05 | 7% | 24 Jun → | ||
| 11–13 | -0.02 | 18% | 24 Jun → | ||
| 13–9 | -0.03 | 15% | 23 Jun → | ||
| 13–4 | 0.05 | 14% | 23 Jun → | ||
| 9–13 | -0.03 | 12% | 23 Jun → | ||
| 0–13 | -0.01 | 23% | 21 Jun → | ||
| 13–6 | 0.04 | 29% | 21 Jun → | ||
| 16–12 | -0.04 | 15% | 21 Jun → | ||
| 7–13 | -0.01 | 18% | 21 Jun → | ||
| 7–13 | 0.03 | 18% | 21 Jun → | ||
| 13–7 | 0.00 | 16% | 21 Jun → | ||
| 3–13 | -0.04 | 10% | 17 Jun → | ||
| 13–11 | 0.01 | 21% | 17 Jun → | ||
| 13–3 | 0.05 | 38% | 16 Jun → | ||
| 13–3 | 0.02 | 19% | 16 Jun → | ||
| 13–10 | -0.03 | 19% | 16 Jun → | ||
| 13–6 | 0.04 | 17% | 16 Jun → | ||
| 13–6 | 0.03 | 27% | 16 Jun → | ||
| 13–8 | -0.07 | 13% | 16 Jun → | ||
| 11–13 | -0.06 | 18% | 15 Jun → | ||
| 13–11 | 0.03 | 21% | 15 Jun → | ||
| 8–13 | -0.03 | 33% | 15 Jun → | ||
| 7–13 | -0.02 | 20% | 9 Jun → | ||
| 13–10 | 0.02 | 27% | 9 Jun → | ||
| 13–11 | 0.02 | 15% | 9 Jun → | ||
| 15–15 | 0.01 | 18% | 9 Jun → | ||
| 7–13 | -0.08 | 17% | 9 Jun → | ||
| 12–12 | 0.08 | 15% | 9 Jun → | ||
| 10–13 | -0.02 | 14% | 2 Jun → | ||
| 5–13 | -0.05 | 20% | 1 Jun → | ||
| 6–13 | 0.07 | 29% | 1 Jun → | ||
| 13–9 | 0.08 | 15% | 27 May → | ||
| 12–12 | 0.12 | 16% | 27 May → | ||
| 2–11 | -0.00 | 28% | 25 May → | ||
| 2–7 | -0.05 | 36% | 21 May → | ||
| 8–13 | -0.02 | 19% | 21 May → | ||
| 13–9 | 0.04 | 20% | 16 May → | ||
| 16–12 | 0.06 | 20% | 16 May → | ||
| 13–5 | 0.06 | 32% | 12 May → | ||
| 9–13 | -0.02 | 27% | 12 May → | ||
| 13–9 | -0.02 | 23% | 12 May → | ||
| 13–11 | 0.05 | 13% | 11 May → | ||
| 13–8 | -0.04 | 21% | 11 May → | ||
| 6–13 | -0.04 | 9% | 11 Apr → | ||
| 5–13 | 0.01 | 21% | 11 Apr → | ||
| 13–9 | 0.01 | 9% | 10 Mar → | ||
| 6–13 | -0.03 | 23% | 10 Mar → | ||
| 10–13 | -0.00 | 21% | 7 Mar → | ||
| 13–7 | 0.03 | 23% | 7 Mar → | ||
| 13–11 | -0.01 | 12% | 7 Mar → | ||
| 2–13 | -0.06 | 7% | 27 Feb → | ||
| 8–13 | -0.05 | 17% | 27 Feb → | ||
| 14–16 | -0.04 | 20% | 17 Feb → | ||
| 16–12 | -0.01 | 10% | 17 Feb → | ||
| 7–13 | -0.03 | 11% | 17 Feb → |
Match data via Leetify.
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