Melavi — CS2 Stats
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76561198265986115[U:1:305720387]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 device 96% playstyle similarity
Most alike: aim profile, positioning profile.
Where you differ: 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 97 — the mechanical foundation is a clear strength.
Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 32 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.
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 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 35 | 18–17 | 51% | 0.01 | |
| C | 23 | 9–14 | 39% | 0.01 | |
| S | 13 | 10–3 | 77% | 0.02 | |
| D | 12 | 4–8 | 33% | 0.00 | |
| A | 8 | 5–3 | 63% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.03 | |
| — | 3 | 0–3 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1434 | 59% | 1.45 | 18.9 |
| Anubis | 706 | 55% | 1.40 | 19.1 |
| Dust2 | 584 | 55% | 1.48 | 18.6 |
| Ancient | 439 | 54% | 1.35 | 17.3 |
| Nuke | 366 | 54% | 1.33 | 17.4 |
| Overpass | 154 | 58% | 1.40 | 18.6 |
| Train | 89 | 48% | 1.33 | 18.1 |
| Inferno | 29 | 41% | 1.37 | 17.9 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.03 | 27% | 21 Aug → | ||
| 19–17 | 0.03 | 32% | 19 Aug → | ||
| 10–13 | 0.07 | 13% | 12 Aug → | ||
| 13–3 | 0.11 | 26% | 12 Aug → | ||
| 13–4 | 0.05 | 35% | 9 Aug → | ||
| 2–9 | -0.05 | 22% | 8 Aug → | ||
| 5–13 | -0.06 | 10% | 30 Jul → | ||
| 13–7 | 0.04 | 17% | 27 Jul → | ||
| 8–13 | 0.03 | 25% | 27 Jul → | ||
| 13–8 | 0.10 | 37% | 27 Jul → | ||
| 10–13 | 0.00 | 17% | 26 Jul → | ||
| 9–13 | -0.02 | 22% | 26 Jul → | ||
| 13–9 | 0.08 | 20% | 26 Jul → | ||
| 13–10 | 0.07 | 24% | 26 Jul → | ||
| 13–9 | 0.04 | 26% | 25 Jul → | ||
| 11–13 | -0.06 | 41% | 24 Jul → | ||
| 8–13 | 0.02 | 33% | 22 Jul → | ||
| 11–13 | -0.02 | 31% | 22 Jul → | ||
| 13–16 | -0.04 | 41% | 21 Jul → | ||
| 13–11 | 0.01 | 33% | 21 Jul → | ||
| 9–13 | 0.07 | 23% | 16 Jul → | ||
| 5–13 | -0.04 | 7% | 16 Jul → | ||
| 13–9 | 0.08 | 26% | 15 Jul → | ||
| 13–6 | 0.04 | 23% | 15 Jul → | ||
| 6–13 | -0.00 | 29% | 29 Jun → | ||
| 4–13 | -0.06 | 23% | 29 Jun → | ||
| 10–13 | 0.00 | 15% | 15 Jun → | ||
| 13–9 | 0.04 | 36% | 11 Jun → | ||
| 13–11 | 0.01 | 18% | 11 Jun → | ||
| 10–13 | -0.01 | 16% | 10 Jun → | ||
| 5–13 | -0.05 | 22% | 4 Jun → | ||
| 11–13 | 0.02 | 27% | 4 Jun → | ||
| 7–13 | -0.03 | 29% | 3 Jun → | ||
| 6–13 | -0.03 | 45% | 3 Jun → | ||
| 8–13 | 0.01 | 36% | 3 Jun → | ||
| 3–13 | -0.04 | 29% | 3 Jun → | ||
| 2–13 | -0.00 | 29% | 31 May → | ||
| 12–16 | 0.02 | 20% | 30 May → | ||
| 7–13 | -0.01 | 17% | 29 May → | ||
| 6–13 | -0.02 | 18% | 29 May → | ||
| 13–5 | 0.05 | 33% | 29 May → | ||
| 10–13 | 0.02 | 20% | 28 May → | ||
| 19–15 | 0.05 | 23% | 28 May → | ||
| 13–7 | -0.00 | 31% | 28 May → | ||
| 13–2 | 0.08 | 38% | 28 May → | ||
| 13–9 | 0.03 | 50% | 27 May → | ||
| 7–13 | -0.01 | 29% | 27 May → | ||
| 13–9 | 0.01 | 18% | 26 May → | ||
| 13–8 | 0.07 | 27% | 26 May → | ||
| 13–1 | 0.02 | 25% | 26 May → | ||
| 10–13 | -0.04 | 23% | 26 May → | ||
| 2–13 | 0.00 | 31% | 25 May → | ||
| 10–13 | -0.02 | 48% | 24 May → | ||
| 2–13 | -0.01 | 33% | 24 May → | ||
| 3–2 | 0.14 | 67% | 23 May → | ||
| 13–7 | 0.01 | 9% | 23 May → | ||
| 10–8 | -0.03 | 31% | 23 May → | ||
| 13–4 | 0.07 | 20% | 22 May → | ||
| 13–11 | 0.03 | 41% | 22 May → | ||
| 10–13 | -0.00 | 35% | 20 May → | ||
| 9–13 | 0.01 | 26% | 20 May → | ||
| 13–4 | 0.07 | 36% | 6 May → | ||
| 13–7 | 0.02 | 31% | 2 May → | ||
| 13–5 | 0.02 | 33% | 24 Apr → | ||
| 13–8 | 0.08 | 33% | 24 Apr → | ||
| 13–11 | -0.01 | 30% | 24 Apr → | ||
| 5–13 | -0.03 | 21% | 24 Apr → | ||
| 13–3 | 0.08 | 35% | 22 Apr → | ||
| 6–13 | -0.01 | 24% | 20 Apr → | ||
| 2–13 | -0.07 | 19% | 20 Apr → | ||
| 2–13 | -0.07 | 19% | 20 Apr → | ||
| 6–13 | -0.01 | 24% | 20 Apr → | ||
| 13–4 | 0.11 | 13% | 20 Apr → | ||
| 13–11 | -0.01 | 5% | 20 Apr → | ||
| 13–4 | 0.11 | 13% | 20 Apr → | ||
| 13–11 | -0.01 | 5% | 20 Apr → | ||
| 4–13 | -0.02 | 28% | 20 Apr → | ||
| 10–13 | 0.01 | 33% | 20 Apr → | ||
| 10–13 | 0.01 | 33% | 20 Apr → | ||
| 4–13 | -0.02 | 28% | 20 Apr → | ||
| 14–16 | 0.01 | 15% | 19 Apr → | ||
| 13–7 | -0.00 | 7% | 19 Apr → | ||
| 13–6 | -0.03 | 13% | 19 Apr → | ||
| 13–7 | -0.00 | 7% | 19 Apr → | ||
| 13–6 | -0.03 | 13% | 19 Apr → | ||
| 14–16 | 0.01 | 15% | 19 Apr → | ||
| 13–6 | 0.02 | 10% | 19 Apr → | ||
| 2–13 | -0.03 | 36% | 19 Apr → | ||
| 13–6 | 0.02 | 10% | 19 Apr → | ||
| 2–13 | -0.03 | 36% | 19 Apr → | ||
| 13–3 | 0.10 | 29% | 19 Apr → | ||
| 13–3 | 0.07 | 17% | 18 Apr → | ||
| 13–3 | 0.13 | 45% | 18 Apr → | ||
| 13–11 | 0.04 | 15% | 18 Apr → | ||
| 10–13 | -0.02 | 9% | 18 Apr → | ||
| 20–22 | -0.00 | 22% | 18 Apr → | ||
| 11–13 | -0.03 | 25% | 8 Apr → | ||
| 10–13 | -0.01 | 24% | 8 Apr → | ||
| 13–10 | 0.03 | 38% | 6 Apr → | ||
| 13–8 | -0.03 | 26% | 3 Apr → |
Match data via Leetify.
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