Megix_ — CS2 Stats
76561198161492241[U:1:201226513]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent 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 NiKo 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower opening-duel success.
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
Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
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 6.8/10 (Solid), 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 | 25 | 13–12 | 52% | -0.00 | |
| S | 20 | 14–6 | 70% | 0.02 | |
| B | 15 | 8–7 | 53% | 0.02 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| A | 10 | 6–4 | 60% | -0.02 | |
| S | 7 | 5–2 | 71% | 0.00 | |
| D | 5 | 1–4 | 20% | -0.05 | |
| office | — | 3 | 2–1 | 67% | 0.04 |
| — | 1 | 0–1 | 0% | 0.01 | |
| italy | — | 1 | 1–0 | 100% | 0.01 |
| debris | — | 1 | 0–1 | 0% | -0.10 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 65% | 0.99 | 13.4 |
| Dust2 | 16 | 56% | 1.05 | 16.1 |
| Anubis | 12 | 50% | 0.98 | 14.7 |
| Ancient | 8 | 75% | 1.38 | 16.5 |
| Nuke | 5 | 80% | 0.95 | 12.6 |
| Vertigo | 4 | 50% | 0.88 | 13.8 |
| Inferno | 3 | 67% | 0.81 | 11.3 |
| Cache | 2 | 100% | 1.43 | 13.5 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.5912% — below the 15% 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 24.4395% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | -0.05 | 6% | 28 Aug → | ||
| 13–5 | 0.00 | 17% | 27 Aug → | ||
| 1–13 | -0.06 | 13% | 24 Aug → | ||
| 6–13 | -0.04 | 12% | 23 Aug → | ||
| 8–8 | 0.01 | 14% | 21 Aug → | ||
| 5–13 | -0.04 | 18% | 21 Aug → | ||
| 5–13 | -0.03 | 10% | 21 Aug → | ||
| italy | 13–6 | 0.01 | 12% | 21 Aug → | |
| office | 8–13 | 0.01 | 8% | 20 Aug → | |
| 2–13 | -0.06 | 7% | 20 Aug → | ||
| 13–7 | -0.07 | 9% | 20 Aug → | ||
| 13–6 | 0.03 | 18% | 19 Aug → | ||
| 16–12 | 0.08 | 13% | 19 Aug → | ||
| 6–13 | -0.08 | 6% | 18 Aug → | ||
| 13–10 | 0.03 | 20% | 18 Aug → | ||
| 13–6 | 0.11 | 19% | 18 Aug → | ||
| 3–13 | -0.05 | 11% | 18 Aug → | ||
| 13–11 | -0.03 | 14% | 17 Aug → | ||
| 2–0 | 0.01 | 50% | 17 Aug → | ||
| 13–9 | -0.03 | 4% | 17 Aug → | ||
| 8–13 | -0.04 | 9% | 17 Aug → | ||
| 13–8 | 0.06 | 10% | 17 Aug → | ||
| 16–13 | -0.06 | 6% | 17 Aug → | ||
| 6–13 | -0.04 | 22% | 15 Aug → | ||
| 13–5 | 0.02 | 9% | 15 Aug → | ||
| 9–13 | -0.04 | 15% | 14 Aug → | ||
| 13–10 | -0.01 | 13% | 14 Aug → | ||
| 13–8 | 0.04 | 23% | 14 Aug → | ||
| 13–9 | -0.00 | 8% | 13 Aug → | ||
| 13–2 | 0.02 | 14% | 13 Aug → | ||
| 13–10 | -0.05 | 16% | 13 Aug → | ||
| 13–7 | 0.09 | 12% | 13 Aug → | ||
| debris | 8–8 | -0.10 | 3% | 10 Aug → | |
| 2–7 | 0.07 | 20% | 10 Aug → | ||
| 13–7 | -0.00 | 4% | 10 Aug → | ||
| 7–13 | -0.04 | 7% | 6 Aug → | ||
| 13–6 | 0.06 | 10% | 5 Aug → | ||
| 13–8 | 0.00 | 18% | 5 Aug → | ||
| 13–5 | 0.01 | 17% | 5 Aug → | ||
| 8–13 | -0.02 | 10% | 4 Aug → | ||
| 11–13 | -0.05 | 6% | 4 Aug → | ||
| 11–13 | -0.04 | 4% | 4 Aug → | ||
| 16–13 | -0.01 | 8% | 4 Aug → | ||
| 13–8 | -0.04 | 6% | 29 Jul → | ||
| 15–15 | 0.04 | 14% | 29 Jul → | ||
| 10–13 | -0.05 | 22% | 28 Jul → | ||
| 13–6 | 0.05 | 19% | 28 Jul → | ||
| 4–13 | -0.04 | 2% | 28 Jul → | ||
| 13–1 | 0.06 | 5% | 28 Jul → | ||
| 16–13 | -0.01 | 13% | 28 Jul → | ||
| 13–11 | -0.03 | 7% | 27 Jul → | ||
| 8–13 | -0.01 | 16% | 27 Jul → | ||
| 9–13 | -0.01 | 19% | 26 Jul → | ||
| 13–11 | 0.02 | 8% | 26 Jul → | ||
| 8–13 | -0.03 | 10% | 24 Jul → | ||
| 13–7 | 0.02 | 13% | 24 Jul → | ||
| 9–13 | -0.09 | 15% | 24 Jul → | ||
| 16–13 | 0.05 | 14% | 24 Jul → | ||
| 5–13 | -0.07 | 8% | 24 Jul → | ||
| 13–2 | 0.06 | 11% | 19 Jul → | ||
| 13–8 | 0.02 | 16% | 19 Jul → | ||
| 13–10 | -0.02 | 11% | 19 Jul → | ||
| 9–13 | -0.01 | 14% | 19 Jul → | ||
| 11–13 | -0.04 | 6% | 18 Jul → | ||
| 13–6 | 0.00 | 16% | 18 Jul → | ||
| 13–6 | -0.02 | 6% | 18 Jul → | ||
| 11–13 | -0.01 | 12% | 18 Jul → | ||
| 13–2 | 0.02 | 13% | 18 Jul → | ||
| 13–7 | 0.02 | 6% | 18 Jul → | ||
| 10–13 | -0.06 | 9% | 15 Jul → | ||
| 10–13 | -0.03 | 5% | 15 Jul → | ||
| 13–0 | -0.06 | 0% | 15 Jul → | ||
| office | 13–2 | 0.05 | 5% | 12 Jul → | |
| 14–16 | 0.06 | 13% | 12 Jul → | ||
| 0–13 | -0.04 | 23% | 11 Jul → | ||
| 15–15 | 0.04 | 8% | 11 Jul → | ||
| 16–13 | 0.04 | 11% | 11 Jul → | ||
| 13–3 | -0.01 | 12% | 11 Jul → | ||
| 8–13 | 0.00 | 16% | 9 Jul → | ||
| 13–7 | 0.07 | 12% | 9 Jul → | ||
| 7–13 | 0.02 | 7% | 9 Jul → | ||
| 13–9 | -0.05 | 15% | 9 Jul → | ||
| 13–4 | 0.07 | 11% | 9 Jul → | ||
| 13–10 | -0.00 | 15% | 9 Jul → | ||
| 9–13 | 0.05 | 22% | 9 Jul → | ||
| 13–2 | -0.03 | 19% | 9 Jul → | ||
| 1–5 | 0.19 | 20% | 9 Jul → | ||
| office | 13–2 | 0.05 | 20% | 9 Jul → | |
| 13–6 | -0.04 | 5% | 8 Jul → | ||
| 13–1 | 0.11 | 7% | 8 Jul → | ||
| 13–3 | 0.01 | 7% | 8 Jul → | ||
| 13–8 | 0.02 | 10% | 8 Jul → | ||
| 12–12 | 0.06 | 14% | 8 Jul → | ||
| 13–10 | 0.06 | 14% | 8 Jul → | ||
| 13–5 | 0.03 | 10% | 7 Jul → | ||
| 9–7 | 0.01 | 15% | 7 Jul → | ||
| 12–12 | 0.03 | 13% | 7 Jul → | ||
| 10–13 | -0.01 | 9% | 7 Jul → | ||
| 8–13 | 0.02 | 12% | 4 Jul → | ||
| 13–4 | 0.12 | 8% | 4 Jul → |
Match data via Leetify.