yazan — CS2 Stats
76561198178278450[U:1:218012722]
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 39.0% | 42.5% | 44.2% | 5.2% short |
| Shot accuracy | 11.7% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.00 | 0.99 | 1.04 | 0.04 short |
| Match win rate | 41.7% | 44.2% | 45.3% | 3.6% short |
This profile matches the typical Level 5 player on 1 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 5 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: +20pp 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 ropz 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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. 640ms 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 5.1/10 (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 |
|---|---|---|---|---|---|
| B | 36 | 17–19 | 47% | -0.01 | |
| S | 15 | 11–4 | 73% | -0.01 | |
| C | 12 | 5–7 | 42% | -0.00 | |
| A | 11 | 6–5 | 55% | -0.02 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| — | 3 | 3–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 8). 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 38% | 1.04 | 14.9 |
| Inferno | 5 | 60% | 1.35 | 18.2 |
| Ancient | 3 | 67% | 0.90 | 13.0 |
| Train | 3 | 67% | 1.16 | 19.7 |
| Nuke | 2 | 0% | 1.20 | 16.0 |
| Dust2 | 2 | 100% | 1.07 | 16.5 |
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 37.1313% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | -0.09 | 14% | 22 Aug → | ||
| 13–11 | -0.01 | 19% | 22 Aug → | ||
| 13–8 | -0.04 | 8% | 22 Aug → | ||
| 10–13 | -0.06 | 23% | 21 Aug → | ||
| 13–9 | -0.01 | 16% | 21 Aug → | ||
| 4–13 | -0.05 | 16% | 21 Aug → | ||
| 13–5 | -0.03 | 15% | 21 Aug → | ||
| 13–9 | 0.04 | 26% | 20 Aug → | ||
| 5–13 | -0.03 | 19% | 18 Aug → | ||
| 13–6 | 0.07 | 20% | 17 Aug → | ||
| 13–6 | 0.01 | 17% | 17 Aug → | ||
| 7–13 | -0.04 | 20% | 15 Aug → | ||
| 9–13 | -0.07 | 23% | 10 Aug → | ||
| 13–5 | 0.09 | 24% | 10 Aug → | ||
| 3–13 | 0.01 | 10% | 10 Aug → | ||
| 13–5 | 0.08 | 28% | 10 Aug → | ||
| 11–13 | -0.05 | 22% | 10 Aug → | ||
| 2–13 | -0.09 | 12% | 9 Aug → | ||
| 10–13 | -0.05 | 13% | 9 Aug → | ||
| 13–3 | -0.03 | 12% | 9 Aug → | ||
| 13–11 | 0.02 | 21% | 9 Aug → | ||
| 13–9 | -0.05 | 17% | 9 Aug → | ||
| 13–16 | -0.03 | 18% | 9 Aug → | ||
| 5–13 | 0.02 | 11% | 9 Aug → | ||
| 13–11 | -0.09 | 13% | 9 Aug → | ||
| 13–5 | 0.02 | 15% | 9 Aug → | ||
| 1–13 | 0.01 | 17% | 8 Aug → | ||
| 13–10 | 0.01 | 13% | 8 Aug → | ||
| 13–4 | 0.01 | 16% | 8 Aug → | ||
| 13–7 | 0.00 | 18% | 8 Aug → | ||
| 13–7 | -0.08 | 18% | 7 Aug → | ||
| 13–7 | 0.09 | 20% | 17 Jul → | ||
| 15–15 | 0.08 | 20% | 17 Jul → | ||
| 13–10 | 0.01 | 16% | 16 Jul → | ||
| 13–5 | 0.06 | 16% | 16 Jul → | ||
| 6–13 | -0.05 | 27% | 25 Jun → | ||
| 15–15 | 0.03 | 25% | 23 Jun → | ||
| 13–7 | -0.01 | 15% | 15 Jun → | ||
| 13–10 | 0.01 | 19% | 11 Jun → | ||
| 11–13 | -0.01 | 23% | 11 Jun → | ||
| 14–16 | 0.01 | 25% | 11 Jun → | ||
| 13–7 | 0.05 | 24% | 8 Jun → | ||
| 4–13 | -0.02 | 10% | 27 May → | ||
| 8–13 | 0.02 | 18% | 26 May → | ||
| 13–10 | -0.03 | 13% | 25 May → | ||
| 9–13 | -0.05 | 11% | 25 May → | ||
| 11–13 | -0.04 | 18% | 22 May → | ||
| 11–13 | -0.05 | 19% | 21 May → | ||
| 13–4 | 0.04 | 23% | 20 May → | ||
| 11–13 | 0.01 | 17% | 17 May → | ||
| 13–16 | -0.04 | 17% | 15 May → | ||
| 13–6 | 0.06 | 18% | 15 May → | ||
| 16–14 | -0.05 | 18% | 14 May → | ||
| 13–16 | 0.01 | 19% | 13 May → | ||
| 9–13 | -0.02 | 14% | 12 May → | ||
| 13–10 | -0.01 | 20% | 11 May → | ||
| 13–10 | 0.02 | 9% | 10 May → | ||
| 13–8 | -0.03 | 24% | 10 May → | ||
| 6–13 | -0.03 | 7% | 10 May → | ||
| 16–14 | -0.05 | 10% | 6 May → | ||
| 13–8 | 0.02 | 11% | 6 May → | ||
| 10–13 | -0.02 | 10% | 5 May → | ||
| 13–9 | 0.02 | 12% | 5 May → | ||
| 10–13 | -0.05 | 11% | 5 May → | ||
| 5–13 | -0.06 | 9% | 4 May → | ||
| 6–13 | 0.03 | 8% | 4 May → | ||
| 13–7 | -0.06 | 8% | 4 May → | ||
| 13–10 | 0.05 | 16% | 4 May → | ||
| 7–13 | -0.04 | 13% | 4 May → | ||
| 7–13 | -0.05 | 13% | 4 May → | ||
| 13–8 | 0.05 | 15% | 4 May → | ||
| 13–7 | 0.04 | 24% | 4 May → | ||
| 13–5 | 0.02 | 22% | 4 May → | ||
| 5–13 | -0.07 | 14% | 4 May → | ||
| 13–11 | -0.02 | 15% | 3 May → | ||
| 13–8 | 0.05 | 20% | 3 May → | ||
| 13–9 | -0.00 | 11% | 3 May → | ||
| 13–10 | 0.01 | 20% | 3 May → | ||
| 13–4 | 0.06 | 17% | 3 May → | ||
| 14–16 | -0.01 | 16% | 3 May → | ||
| 16–14 | 0.04 | 11% | 23 Apr → | ||
| 9–13 | 0.01 | 16% | 13 Apr → | ||
| 13–16 | 0.02 | 26% | 6 Apr → | ||
| 13–5 | -0.01 | 21% | 3 Apr → | ||
| 1–13 | -0.04 | 13% | 27 Mar → | ||
| 6–13 | -0.02 | 17% | 26 Mar → | ||
| 11–13 | 0.02 | 11% | 26 Mar → | ||
| 13–6 | -0.03 | 16% | 26 Mar → | ||
| 13–9 | -0.05 | 8% | 26 Mar → | ||
| 9–13 | -0.06 | 19% | 26 Mar → | ||
| 13–4 | 0.06 | 12% | 26 Mar → | ||
| 13–3 | 0.03 | 12% | 25 Mar → | ||
| 13–7 | -0.04 | 16% | 21 Mar → | ||
| 7–13 | -0.01 | 15% | 20 Mar → | ||
| 9–13 | 0.05 | 14% | 17 Mar → | ||
| 13–11 | -0.02 | 23% | 17 Mar → | ||
| 16–14 | -0.03 | 8% | 16 Mar → | ||
| 8–13 | -0.00 | 17% | 13 Mar → | ||
| 16–14 | -0.00 | 13% | 13 Mar → | ||
| 8–13 | -0.04 | 13% | 13 Mar → |
Match data via Leetify.