MaDt0m — CS2 Stats
GB76561198155488137[U:1:195222409]Steam profile ↗✓ 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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerLimited 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 sh1ro 93% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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 90 — the mechanical foundation is a clear strength.
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 598ms 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 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 15 | 8–7 | 53% | 0.03 | |
| C | 14 | 5–9 | 36% | 0.01 | |
| B | 13 | 6–7 | 46% | 0.03 | |
| A | 11 | 6–5 | 55% | 0.07 | |
| C | 11 | 4–7 | 36% | 0.03 | |
| C | 10 | 4–6 | 40% | 0.04 | |
| C | 9 | 4–5 | 44% | 0.03 | |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| shelter | — | 1 | 0–1 | 0% | 0.04 |
| fachwerk | — | 1 | 0–1 | 0% | -0.01 |
| boulder | — | 1 | 1–0 | 100% | 0.17 |
| alpine | — | 1 | 0–1 | 0% | 0.02 |
| stronghold | — | 1 | 0–1 | 0% | 0.06 |
| warden | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 679 | 58% | 1.20 | 16.5 |
| Dust2 | 491 | 55% | 1.15 | 16.2 |
| Anubis | 489 | 54% | 1.23 | 17.0 |
| Mirage | 305 | 47% | 1.08 | 15.5 |
| Inferno | 126 | 41% | 1.09 | 14.3 |
| Train | 110 | 44% | 1.20 | 16.4 |
| Nuke | 103 | 41% | 1.08 | 15.1 |
| Overpass | 91 | 52% | 1.01 | 15.3 |
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.
- 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 0.4452 — 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 37.6794% — 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.
36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.03 | 20% | 14 Aug → | ||
| 12–12 | 0.03 | 17% | 14 Aug → | ||
| 2–13 | 0.02 | 37% | 8 Aug → | ||
| 12–12 | 0.04 | 19% | 8 Aug → | ||
| shelter | 2–13 | 0.04 | 35% | 25 Jul → | |
| fachwerk | 5–13 | -0.01 | 39% | 25 Jul → | |
| boulder | 13–5 | 0.17 | 38% | 25 Jul → | |
| 13–9 | 0.00 | 21% | 13 Jul → | ||
| 10–13 | 0.03 | 20% | 11 Jul → | ||
| 13–10 | 0.04 | 24% | 3 Jul → | ||
| 13–5 | 0.10 | 25% | 27 Jun → | ||
| 12–12 | 0.05 | 31% | 19 Jun → | ||
| 8–13 | 0.06 | 22% | 12 Jun → | ||
| 8–13 | 0.02 | 43% | 5 Jun → | ||
| 11–1 | 0.09 | 100% | 5 Jun → | ||
| 2–13 | -0.05 | 36% | 1 Jun → | ||
| 13–9 | 0.07 | 11% | 29 May → | ||
| 0–13 | 0.00 | 18% | 29 May → | ||
| 9–13 | 0.03 | 29% | 15 May → | ||
| 12–12 | 0.10 | 31% | 15 May → | ||
| 13–7 | 0.10 | 25% | 9 May → | ||
| 13–9 | 0.13 | 21% | 9 May → | ||
| 13–5 | 0.10 | 19% | 8 May → | ||
| 12–12 | 0.04 | 28% | 8 May → | ||
| 11–1 | 0.04 | 32% | 8 May → | ||
| 13–7 | -0.12 | 18% | 4 May → | ||
| 13–8 | -0.05 | 26% | 4 May → | ||
| 2–13 | -0.03 | 25% | 27 Apr → | ||
| 13–10 | 0.20 | 26% | 23 Apr → | ||
| 6–13 | 0.04 | 23% | 23 Apr → | ||
| 13–6 | 0.03 | 25% | 22 Apr → | ||
| 13–9 | 0.19 | 35% | 18 Apr → | ||
| 5–13 | 0.04 | 22% | 17 Apr → | ||
| 13–6 | 0.14 | 20% | 17 Apr → | ||
| 13–10 | 0.08 | 25% | 16 Apr → | ||
| 13–6 | 0.11 | 21% | 11 Apr → | ||
| 13–9 | 0.13 | 23% | 5 Apr → | ||
| 1–13 | -0.01 | 31% | 5 Apr → | ||
| 13–11 | 0.06 | 22% | 2 Apr → | ||
| 12–12 | 0.04 | 36% | 2 Apr → | ||
| 5–13 | -0.04 | 36% | 1 Apr → | ||
| 13–9 | 0.05 | 29% | 28 Mar → | ||
| 7–13 | -0.01 | 32% | 24 Mar → | ||
| 11–13 | 0.06 | 29% | 24 Mar → | ||
| 13–5 | -0.03 | 19% | 16 Mar → | ||
| 1–13 | -0.00 | 26% | 16 Mar → | ||
| 10–13 | -0.01 | 18% | 16 Mar → | ||
| 12–12 | -0.00 | 30% | 16 Mar → | ||
| 9–13 | 0.00 | 22% | 6 Mar → | ||
| 11–13 | -0.05 | 22% | 3 Mar → | ||
| 12–12 | 0.02 | 29% | 28 Feb → | ||
| 13–9 | 0.07 | 19% | 28 Feb → | ||
| alpine | 6–13 | 0.02 | 21% | 27 Feb → | |
| 13–8 | 0.02 | 22% | 27 Feb → | ||
| 13–10 | 0.14 | 30% | 27 Feb → | ||
| 10–13 | 0.03 | 20% | 21 Feb → | ||
| stronghold | 5–13 | 0.06 | 43% | 20 Feb → | |
| 5–13 | -0.02 | 38% | 20 Feb → | ||
| 13–11 | 0.00 | 21% | 20 Feb → | ||
| 13–9 | 0.04 | 27% | 18 Feb → | ||
| 6–13 | -0.05 | 36% | 17 Feb → | ||
| 13–5 | 0.08 | 16% | 14 Feb → | ||
| 13–7 | 0.03 | 25% | 10 Feb → | ||
| 13–4 | 0.09 | 17% | 9 Feb → | ||
| 9–13 | -0.01 | 24% | 7 Feb → | ||
| 9–13 | 0.01 | 13% | 6 Feb → | ||
| warden | 11–13 | -0.03 | 20% | 6 Feb → | |
| 4–13 | -0.03 | 27% | 6 Feb → | ||
| 9–13 | -0.05 | 11% | 2 Feb → | ||
| 13–8 | 0.03 | 18% | 2 Feb → | ||
| 16–13 | 0.02 | 25% | 30 Jan → | ||
| 11–13 | -0.02 | 15% | 28 Jan → | ||
| 2–13 | -0.11 | 5% | 27 Jan → | ||
| 13–10 | 0.04 | 22% | 25 Jan → | ||
| 13–8 | 0.06 | 25% | 25 Jan → | ||
| 16–13 | 0.01 | 23% | 22 Jan → | ||
| 12–12 | -0.03 | 14% | 17 Jan → | ||
| 6–13 | 0.12 | 25% | 17 Jan → | ||
| 13–7 | -0.01 | 24% | 14 Jan → | ||
| 11–13 | -0.00 | 16% | 10 Jan → | ||
| 10–13 | -0.02 | 27% | 10 Jan → | ||
| 9–13 | 0.01 | 24% | 6 Jan → | ||
| 4–13 | -0.04 | 21% | 5 Jan → | ||
| 4–13 | 0.03 | 40% | 2 Jan → | ||
| 13–4 | 0.04 | 48% | 2 Jan → | ||
| 14–16 | -0.00 | 27% | 31 Dec → | ||
| 9–13 | -0.03 | 21% | 28 Dec → | ||
| 6–13 | 0.04 | 17% | 24 Dec → | ||
| 7–13 | 0.01 | 20% | 24 Dec → | ||
| 13–5 | 0.08 | 16% | 21 Dec → | ||
| 12–12 | 0.07 | 29% | 21 Dec → | ||
| 9–13 | 0.10 | 26% | 17 Dec → | ||
| 4–3 | 0.09 | 10% | 17 Dec → | ||
| 8–3 | 0.02 | 23% | 17 Dec → | ||
| 7–13 | 0.09 | 26% | 17 Dec → | ||
| 13–9 | 0.05 | 21% | 15 Dec → | ||
| 13–3 | 0.10 | 16% | 11 Dec → | ||
| 13–6 | 0.08 | 39% | 10 Dec → | ||
| 11–13 | 0.04 | 11% | 10 Dec → | ||
| 13–10 | 0.12 | 29% | 10 Dec → |
Match data via Leetify.