myonis — CS2 Stats
76561198245854432[U:1:285588704]✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 35.5% | 49.0% | 52.0% | 16.6% short |
| Shot accuracy | 15.7% | 13.1% | 13.7% | above |
| Kill/death ratio | 1.13 | 1.08 | 1.08 | above |
| Match win rate | 47.7% | 46.9% | 48.8% | 1.1% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 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 · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 ZywOo 93% playstyle similarity
Most alike: positioning profile, utility contribution.
Where you differ: 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
Strengths
Flashes. 0.93 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 567ms 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 7.6/10 (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 |
|---|---|---|---|---|---|
| A | 40 | 24–16 | 60% | 0.02 | |
| A | 25 | 16–9 | 64% | 0.04 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| A | 8 | 5–3 | 63% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (60% over 40). 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 resultsWWWWW
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.02 | 9% | 11 Aug → | ||
| 1–13 | -0.04 | 5% | 11 Aug → | ||
| 13–10 | 0.07 | 23% | 11 Aug → | ||
| 13–2 | 0.04 | 21% | 4 Aug → | ||
| 4–13 | -0.03 | 17% | 4 Aug → | ||
| 13–6 | 0.01 | 22% | 4 Aug → | ||
| 13–6 | 0.05 | 27% | 26 Jul → | ||
| 13–7 | 0.03 | 22% | 26 Jul → | ||
| 13–4 | 0.09 | 18% | 22 Jul → | ||
| 13–9 | 0.00 | 18% | 22 Jul → | ||
| 13–8 | 0.07 | 18% | 17 Jul → | ||
| 13–4 | 0.09 | 15% | 17 Jul → | ||
| 10–13 | 0.07 | 23% | 16 Jul → | ||
| 13–5 | 0.13 | 21% | 9 Jul → | ||
| 13–0 | 0.05 | 31% | 8 Jul → | ||
| 13–2 | -0.02 | 0% | 8 Jul → | ||
| 13–6 | 0.02 | 18% | 8 Jul → | ||
| 13–9 | 0.04 | 30% | 7 Jul → | ||
| 13–4 | 0.07 | 22% | 7 Jul → | ||
| 13–3 | -0.03 | 13% | 1 Jul → | ||
| 2–7 | 0.09 | 17% | 1 Jul → | ||
| 13–11 | 0.00 | 8% | 27 Jun → | ||
| 15–15 | 0.03 | 16% | 27 Jun → | ||
| 0–2 | 0.00 | 0% | 21 Jun → | ||
| 13–8 | -0.01 | 15% | 18 Jun → | ||
| 13–8 | 0.06 | 28% | 18 Jun → | ||
| 13–4 | 0.08 | 27% | 18 Jun → | ||
| 11–13 | 0.03 | 21% | 15 Jun → | ||
| 13–6 | 0.08 | 20% | 15 Jun → | ||
| 13–3 | 0.03 | 12% | 12 Jun → | ||
| 9–13 | -0.11 | 13% | 9 Jun → | ||
| 11–13 | -0.01 | 26% | 9 Jun → | ||
| 13–10 | -0.03 | 11% | 9 Jun → | ||
| 13–6 | 0.12 | 17% | 2 Jun → | ||
| 11–13 | 0.11 | 33% | 2 Jun → | ||
| 13–6 | 0.01 | 17% | 2 Jun → | ||
| 13–8 | 0.03 | 21% | 23 May → | ||
| 11–13 | -0.02 | 15% | 22 May → | ||
| 13–6 | -0.03 | 12% | 22 May → | ||
| 13–6 | 0.03 | 22% | 19 May → | ||
| 13–10 | 0.01 | 17% | 19 May → | ||
| 11–13 | 0.03 | 14% | 19 May → | ||
| 8–13 | -0.09 | 16% | 9 May → | ||
| 13–8 | 0.01 | 14% | 9 May → | ||
| 13–8 | 0.03 | 15% | 6 May → | ||
| 15–15 | -0.04 | 15% | 3 May → | ||
| 8–13 | -0.09 | 14% | 3 May → | ||
| 13–6 | 0.11 | 28% | 30 Apr → | ||
| 13–1 | 0.02 | 10% | 26 Apr → | ||
| 13–6 | -0.04 | 26% | 22 Apr → | ||
| 13–10 | 0.08 | 16% | 20 Apr → | ||
| 13–9 | -0.07 | 8% | 20 Apr → | ||
| 13–8 | 0.00 | 20% | 19 Apr → | ||
| 5–13 | 0.07 | 14% | 11 Apr → | ||
| 13–5 | 0.19 | 17% | 10 Apr → | ||
| 13–1 | 0.15 | 3% | 9 Apr → | ||
| 8–13 | 0.00 | 14% | 8 Apr → | ||
| 9–13 | 0.00 | 21% | 5 Apr → | ||
| 7–13 | -0.07 | 6% | 4 Apr → | ||
| 3–13 | 0.03 | 23% | 4 Apr → | ||
| 13–11 | 0.09 | 12% | 1 Apr → | ||
| 10–13 | 0.03 | 23% | 30 Mar → | ||
| 13–7 | -0.02 | 12% | 27 Mar → | ||
| 11–13 | 0.05 | 11% | 25 Mar → | ||
| 16–14 | -0.03 | 15% | 24 Mar → | ||
| 4–13 | -0.04 | 18% | 22 Mar → | ||
| 1–13 | -0.04 | 11% | 20 Mar → | ||
| 13–16 | -0.07 | 14% | 17 Mar → | ||
| 4–13 | 0.03 | 21% | 17 Mar → | ||
| 13–2 | -0.09 | 12% | 14 Mar → | ||
| 13–11 | 0.02 | 14% | 12 Mar → | ||
| 6–13 | 0.00 | 17% | 12 Mar → | ||
| 10–13 | -0.00 | 3% | 12 Mar → | ||
| 13–11 | 0.00 | 9% | 7 Mar → | ||
| 9–13 | 0.04 | 33% | 6 Mar → | ||
| 13–11 | -0.03 | 11% | 6 Mar → | ||
| 13–3 | 0.06 | 11% | 6 Mar → | ||
| 4–13 | 0.00 | 12% | 6 Mar → | ||
| 13–4 | 0.09 | 8% | 6 Mar → | ||
| 15–15 | 0.05 | 15% | 6 Mar → | ||
| 13–7 | 0.05 | 18% | 1 Mar → | ||
| 15–15 | -0.03 | 16% | 14 Feb → | ||
| 13–7 | 0.04 | 21% | 12 Feb → | ||
| 13–8 | 0.06 | 18% | 4 Feb → | ||
| 13–10 | 0.07 | 9% | 4 Feb → | ||
| 13–5 | 0.02 | 21% | 4 Feb → | ||
| 13–9 | 0.09 | 12% | 3 Feb → | ||
| 13–7 | -0.01 | 17% | 3 Feb → | ||
| 5–13 | 0.03 | 26% | 31 Jan → | ||
| 11–13 | -0.04 | 17% | 30 Jan → | ||
| 6–13 | 0.06 | 13% | 30 Jan → | ||
| 13–2 | 0.09 | 15% | 28 Jan → | ||
| 13–5 | 0.07 | 22% | 28 Jan → | ||
| 13–4 | 0.10 | 17% | 28 Jan → | ||
| 13–8 | 0.00 | 23% | 23 Jan → | ||
| 8–13 | 0.02 | 23% | 23 Jan → | ||
| 10–13 | -0.01 | 9% | 23 Jan → | ||
| 13–7 | 0.04 | 11% | 23 Jan → | ||
| 15–15 | -0.01 | 14% | 19 Jan → | ||
| 13–4 | 0.06 | 7% | 19 Jan → |
Match data via Leetify.