Merghan — CS2 Stats
76561198122317417[U:1:162051689]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerExcellent counter-strafingLimited utility dependence
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: aim profile, opening-fight frequency.
Where you differ: lower positioning profile; lower 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 49 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 555ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 33 | 14–19 | 42% | -0.01 | |
| B | 20 | 10–10 | 50% | -0.01 | |
| S | 11 | 8–3 | 73% | 0.00 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| A | 10 | 6–4 | 60% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (42% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 46 | 54% | 1.00 | 16.0 |
| Mirage | 35 | 63% | 1.01 | 16.1 |
| Ancient | 13 | 62% | 0.95 | 13.5 |
| Inferno | 12 | 33% | 1.30 | 17.4 |
| Cache | 11 | 18% | 0.88 | 14.4 |
| Overpass | 10 | 70% | 1.12 | 16.1 |
| Nuke | 9 | 33% | 0.90 | 15.0 |
| Anubis | 7 | 57% | 1.21 | 16.4 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2578 — below the 0.5 mark we flag
- 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 33.5006% — 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.
42% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.03 | 20% | 27 Aug → | ||
| 13–5 | -0.02 | 10% | 27 Aug → | ||
| 15–15 | -0.03 | 16% | 27 Aug → | ||
| 11–13 | -0.05 | 26% | 27 Aug → | ||
| 14–16 | -0.02 | 13% | 27 Aug → | ||
| 15–15 | 0.04 | 8% | 25 Aug → | ||
| 13–9 | -0.07 | 22% | 25 Aug → | ||
| 13–5 | 0.09 | 18% | 25 Aug → | ||
| 16–14 | -0.03 | 17% | 25 Aug → | ||
| 2–13 | -0.06 | 17% | 25 Aug → | ||
| 15–15 | 0.01 | 14% | 24 Aug → | ||
| 10–13 | 0.09 | 34% | 23 Aug → | ||
| 10–13 | 0.08 | 17% | 23 Aug → | ||
| 11–13 | 0.02 | 18% | 23 Aug → | ||
| 13–6 | -0.03 | 17% | 23 Aug → | ||
| 13–2 | -0.06 | 8% | 23 Aug → | ||
| 13–3 | -0.04 | 14% | 23 Aug → | ||
| 2–3 | -0.05 | 25% | 23 Aug → | ||
| 11–13 | -0.07 | 29% | 23 Aug → | ||
| 13–11 | 0.01 | 24% | 23 Aug → | ||
| 13–6 | -0.02 | 19% | 23 Aug → | ||
| 11–13 | -0.06 | 16% | 23 Aug → | ||
| 13–3 | -0.04 | 17% | 23 Aug → | ||
| 13–9 | -0.03 | 32% | 23 Aug → | ||
| 15–15 | 0.01 | 22% | 23 Aug → | ||
| 10–13 | -0.03 | 11% | 23 Aug → | ||
| 13–2 | 0.05 | 13% | 23 Aug → | ||
| 9–13 | -0.06 | 23% | 23 Aug → | ||
| 13–5 | 0.05 | 25% | 22 Aug → | ||
| 11–13 | -0.05 | 17% | 22 Aug → | ||
| 13–7 | 0.06 | 16% | 22 Aug → | ||
| 6–13 | 0.00 | 29% | 22 Aug → | ||
| 13–5 | 0.00 | 22% | 22 Aug → | ||
| 11–13 | -0.02 | 17% | 22 Aug → | ||
| 13–4 | 0.05 | 12% | 22 Aug → | ||
| 5–13 | 0.01 | 18% | 21 Aug → | ||
| 13–10 | -0.05 | 22% | 21 Aug → | ||
| 13–11 | -0.02 | 23% | 21 Aug → | ||
| 16–12 | -0.03 | 27% | 21 Aug → | ||
| 13–10 | 0.07 | 19% | 21 Aug → | ||
| 6–13 | -0.03 | 17% | 20 Aug → | ||
| 13–10 | 0.01 | 19% | 20 Aug → | ||
| 13–2 | 0.03 | 26% | 20 Aug → | ||
| 13–5 | -0.02 | 43% | 20 Aug → | ||
| 9–13 | -0.02 | 20% | 19 Aug → | ||
| 15–15 | 0.00 | 20% | 19 Aug → | ||
| 13–10 | 0.08 | 20% | 19 Aug → | ||
| 13–7 | -0.01 | 14% | 18 Aug → | ||
| 13–16 | -0.04 | 27% | 18 Aug → | ||
| 13–7 | 0.13 | 35% | 18 Aug → | ||
| 16–13 | -0.01 | 29% | 17 Aug → | ||
| 13–8 | -0.02 | 29% | 17 Aug → | ||
| 13–16 | 0.05 | 26% | 17 Aug → | ||
| 13–4 | 0.12 | 19% | 17 Aug → | ||
| 13–16 | 0.05 | 27% | 14 Aug → | ||
| 11–13 | -0.04 | 21% | 14 Aug → | ||
| 11–13 | -0.03 | 22% | 14 Aug → | ||
| 13–7 | 0.01 | 19% | 14 Aug → | ||
| 5–13 | -0.06 | 10% | 14 Aug → | ||
| 13–10 | -0.01 | 22% | 14 Aug → | ||
| 7–13 | -0.04 | 29% | 14 Aug → | ||
| 9–13 | 0.01 | 27% | 13 Aug → | ||
| 9–13 | 0.05 | 14% | 13 Aug → | ||
| 10–13 | 0.02 | 20% | 12 Aug → | ||
| 13–6 | -0.04 | 9% | 12 Aug → | ||
| 12–12 | -0.06 | 11% | 12 Aug → | ||
| 13–10 | 0.05 | 20% | 12 Aug → | ||
| 7–13 | -0.06 | 37% | 12 Aug → | ||
| 9–13 | 0.05 | 24% | 12 Aug → | ||
| 11–13 | -0.10 | 9% | 10 Aug → | ||
| 13–6 | -0.00 | 9% | 9 Aug → | ||
| 13–9 | -0.06 | 16% | 3 Aug → | ||
| 13–6 | -0.02 | 21% | 3 Aug → | ||
| 10–13 | -0.06 | 29% | 3 Aug → | ||
| 13–7 | 0.08 | 19% | 2 Aug → | ||
| 5–13 | -0.05 | 8% | 2 Aug → | ||
| 13–2 | -0.00 | 16% | 31 Jul → | ||
| 11–13 | -0.02 | 21% | 31 Jul → | ||
| 2–13 | -0.12 | 9% | 31 Jul → | ||
| 11–13 | 0.05 | 19% | 31 Jul → | ||
| 13–6 | 0.04 | 12% | 31 Jul → | ||
| 13–3 | 0.05 | 12% | 31 Jul → | ||
| 7–13 | -0.05 | 15% | 30 Jul → | ||
| 13–8 | 0.05 | 23% | 30 Jul → | ||
| 16–13 | -0.01 | 21% | 30 Jul → | ||
| 13–6 | -0.03 | 18% | 30 Jul → | ||
| 8–13 | -0.01 | 26% | 29 Jul → | ||
| 13–11 | -0.07 | 27% | 29 Jul → | ||
| 8–13 | -0.03 | 19% | 29 Jul → | ||
| 13–4 | -0.02 | 17% | 29 Jul → | ||
| 5–13 | -0.07 | 25% | 29 Jul → | ||
| 15–15 | -0.06 | 15% | 28 Jul → | ||
| 13–3 | 0.03 | 14% | 28 Jul → | ||
| 14–16 | -0.01 | 21% | 28 Jul → | ||
| 13–8 | -0.02 | 19% | 28 Jul → | ||
| 6–13 | -0.02 | 21% | 28 Jul → | ||
| 13–5 | -0.02 | 25% | 28 Jul → | ||
| 13–8 | 0.01 | 20% | 27 Jul → | ||
| 13–6 | 0.01 | 39% | 27 Jul → | ||
| 13–11 | 0.02 | 27% | 27 Jul → |
Match data via Leetify.