FaceOfMadness — CS2 Stats
MD76561198015464866[U:1:55199138]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 10 median |
|---|---|---|
| Headshot rate | 46.1% | 52.8% |
| Shot accuracy | 14.1% | 13.7% |
| Kill/death ratio | 1.08 | 1.08 |
| Match win rate | 47.2% | 49.2% |
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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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerHigh utility contribution
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 Twistzz 91% 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
Utility. Utility score of 82 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 44% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
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 6.4/10 (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 |
|---|---|---|---|---|---|
| B | 30 | 14–16 | 47% | 0.00 | |
| S | 20 | 13–7 | 65% | 0.02 | |
| A | 19 | 11–8 | 58% | 0.04 | |
| C | 17 | 7–10 | 41% | 0.00 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 0–2 | 0% | 0.03 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| — | 1 | 0–1 | 0% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (41% over 17). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 491 | 55% | 1.16 | 16.1 |
| Mirage | 475 | 48% | 1.14 | 15.9 |
| Anubis | 348 | 57% | 1.10 | 15.6 |
| Inferno | 341 | 53% | 1.15 | 15.9 |
| Vertigo | 123 | 41% | 1.14 | 16.7 |
| Overpass | 43 | 37% | 1.10 | 16.9 |
| Ancient | 43 | 37% | 0.94 | 14.7 |
| Nuke | 40 | 35% | 0.96 | 14.3 |
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 26.2972% — 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.
41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.08 | 24% | 24 Aug → | ||
| 9–13 | -0.06 | 6% | 19 Aug → | ||
| 13–9 | -0.01 | 12% | 16 Aug → | ||
| 13–7 | 0.02 | 13% | 7 Aug → | ||
| 11–13 | 0.04 | 22% | 7 Aug → | ||
| 11–13 | -0.05 | 13% | 5 Aug → | ||
| 11–13 | -0.01 | 12% | 3 Aug → | ||
| 8–13 | -0.00 | 20% | 2 Aug → | ||
| 5–13 | 0.10 | 23% | 29 Jul → | ||
| 13–8 | -0.04 | 16% | 27 Jul → | ||
| 11–13 | -0.02 | 11% | 18 Jul → | ||
| 8–13 | -0.06 | 14% | 17 Jul → | ||
| 7–13 | -0.02 | 16% | 15 Jul → | ||
| 13–11 | -0.06 | 16% | 13 Jul → | ||
| 16–19 | 0.03 | 14% | 12 Jul → | ||
| 13–5 | 0.07 | 19% | 11 Jul → | ||
| 10–13 | -0.00 | 28% | 11 Jul → | ||
| 12–12 | 0.00 | 11% | 8 Jul → | ||
| 2–13 | -0.09 | 11% | 8 Jul → | ||
| 13–0 | 0.13 | 56% | 8 Jul → | ||
| 13–10 | 0.08 | 18% | 6 Jul → | ||
| 8–13 | 0.02 | 17% | 5 Jul → | ||
| 13–4 | 0.04 | 15% | 5 Jul → | ||
| 16–12 | 0.01 | 12% | 4 Jul → | ||
| 13–11 | 0.01 | 16% | 30 Jun → | ||
| 13–9 | 0.06 | 28% | 25 Jun → | ||
| 13–7 | 0.07 | 15% | 21 Jun → | ||
| 5–13 | 0.01 | 16% | 19 Jun → | ||
| 11–13 | -0.03 | 22% | 17 Jun → | ||
| 19–16 | 0.01 | 13% | 12 Jun → | ||
| 13–7 | 0.05 | 27% | 8 Jun → | ||
| 13–9 | -0.00 | 16% | 5 Jun → | ||
| 10–13 | 0.00 | 19% | 5 Jun → | ||
| 19–17 | -0.00 | 11% | 4 Jun → | ||
| 13–11 | 0.03 | 18% | 31 May → | ||
| 13–10 | -0.05 | 7% | 30 May → | ||
| 20–22 | 0.01 | 15% | 30 May → | ||
| 13–6 | 0.04 | 19% | 30 May → | ||
| 13–9 | 0.00 | 18% | 30 May → | ||
| 13–8 | 0.03 | 15% | 28 May → | ||
| 13–9 | -0.02 | 17% | 27 May → | ||
| 5–13 | -0.01 | 14% | 25 May → | ||
| 13–9 | -0.02 | 19% | 23 May → | ||
| 13–6 | 0.02 | 21% | 21 May → | ||
| 13–9 | 0.01 | 22% | 17 May → | ||
| 13–7 | -0.02 | 21% | 16 May → | ||
| 14–16 | 0.10 | 17% | 15 May → | ||
| 10–13 | 0.02 | 16% | 10 May → | ||
| 13–6 | 0.11 | 12% | 5 May → | ||
| 3–13 | -0.06 | 19% | 4 May → | ||
| 13–2 | 0.05 | 14% | 3 May → | ||
| 13–5 | 0.05 | 18% | 29 Apr → | ||
| 14–16 | -0.00 | 19% | 27 Apr → | ||
| 13–4 | 0.08 | 17% | 25 Apr → | ||
| 13–1 | 0.04 | 31% | 25 Apr → | ||
| 13–11 | 0.05 | 20% | 23 Apr → | ||
| 13–3 | 0.05 | 33% | 20 Apr → | ||
| 5–13 | -0.03 | 20% | 15 Apr → | ||
| 16–13 | 0.04 | 14% | 13 Apr → | ||
| 13–11 | 0.01 | 20% | 12 Apr → | ||
| 13–7 | 0.10 | 23% | 11 Apr → | ||
| 4–13 | -0.04 | 10% | 9 Apr → | ||
| 12–12 | 0.04 | 21% | 8 Apr → | ||
| 8–13 | -0.05 | 14% | 31 Mar → | ||
| 13–11 | 0.07 | 13% | 28 Mar → | ||
| 4–13 | -0.01 | 15% | 28 Mar → | ||
| 12–12 | 0.03 | 21% | 24 Mar → | ||
| 9–13 | -0.02 | 23% | 24 Mar → | ||
| 1–13 | -0.04 | 14% | 22 Mar → | ||
| 11–13 | 0.05 | 12% | 22 Mar → | ||
| 13–10 | -0.01 | 15% | 13 Mar → | ||
| 5–13 | -0.04 | 14% | 12 Mar → | ||
| 11–13 | 0.11 | 9% | 5 Mar → | ||
| 1–13 | 0.01 | 10% | 5 Mar → | ||
| 3–13 | -0.00 | 14% | 5 Mar → | ||
| 9–13 | 0.02 | 20% | 28 Feb → | ||
| 13–6 | 0.10 | 17% | 28 Feb → | ||
| 12–12 | 0.11 | 16% | 25 Feb → | ||
| 13–5 | 0.01 | 7% | 19 Feb → | ||
| 13–8 | 0.05 | 12% | 14 Feb → | ||
| 12–12 | 0.07 | 11% | 14 Feb → | ||
| 13–3 | 0.06 | 18% | 13 Feb → | ||
| 13–10 | 0.03 | 23% | 8 Feb → | ||
| 13–7 | 0.03 | 30% | 4 Feb → | ||
| 9–13 | -0.02 | 16% | 4 Feb → | ||
| 12–12 | 0.07 | 20% | 31 Jan → | ||
| 13–4 | 0.04 | 15% | 26 Jan → | ||
| 12–12 | -0.01 | 12% | 26 Jan → | ||
| 13–10 | 0.00 | 22% | 26 Jan → | ||
| 9–13 | 0.02 | 15% | 25 Jan → | ||
| 5–13 | 0.02 | 17% | 22 Jan → | ||
| 6–13 | -0.07 | 20% | 20 Jan → | ||
| 3–13 | -0.07 | 27% | 20 Jan → | ||
| 13–7 | 0.12 | 24% | 20 Jan → | ||
| 13–9 | -0.02 | 13% | 18 Jan → | ||
| 13–10 | -0.02 | 19% | 25 Dec → | ||
| 13–7 | -0.00 | 18% | 24 Dec → | ||
| 14–16 | 0.02 | 14% | 23 Dec → | ||
| 9–13 | 0.02 | 21% | 16 Dec → | ||
| 13–8 | -0.02 | 22% | 16 Dec → |
Match data via Leetify.