matias — CS2 Stats
76561197960366001[U:1:100273]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.09 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 donk 94% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 88 — the mechanical foundation is a clear strength.
CT openings. 65% 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 65% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 550ms 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 (×1.00 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 |
|---|---|---|---|---|---|
| C | 32 | 13–19 | 41% | -0.00 | |
| S | 16 | 12–4 | 75% | 0.01 | |
| S | 15 | 10–5 | 67% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.02 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| S | 7 | 5–2 | 71% | -0.03 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.07 | |
| — | 2 | 2–0 | 100% | 0.09 | |
| — | 1 | 1–0 | 100% | -0.08 | |
| boulder | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (41% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 292 | 38% | 0.86 | 14.5 |
| Dust2 | 291 | 54% | 0.96 | 15.6 |
| Nuke | 206 | 60% | 1.06 | 16.2 |
| Ancient | 184 | 53% | 0.99 | 16.2 |
| Anubis | 173 | 53% | 0.94 | 15.1 |
| Inferno | 152 | 51% | 0.97 | 14.9 |
| Train | 73 | 51% | 1.02 | 16.1 |
| Cache | 36 | 64% | 0.99 | 15.9 |
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 34.0972% — 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 32 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 7–3 | -0.09 | 20% | 28 Aug → | ||
| 13–8 | 0.02 | 32% | 28 Aug → | ||
| 13–0 | 0.03 | 31% | 28 Aug → | ||
| 13–7 | 0.00 | 23% | 28 Aug → | ||
| 7–13 | -0.08 | 25% | 25 Aug → | ||
| 8–2 | -0.07 | 50% | 25 Aug → | ||
| 1–13 | -0.11 | 30% | 25 Aug → | ||
| 13–6 | -0.02 | 24% | 25 Aug → | ||
| 13–10 | -0.05 | 35% | 25 Aug → | ||
| 10–13 | -0.02 | 32% | 25 Aug → | ||
| 13–6 | -0.06 | 20% | 25 Aug → | ||
| 15–15 | 0.09 | 36% | 21 Aug → | ||
| 13–8 | 0.02 | 33% | 21 Aug → | ||
| 13–10 | 0.04 | 18% | 21 Aug → | ||
| 13–4 | 0.16 | 33% | 21 Aug → | ||
| 7–0 | 0.13 | 57% | 21 Aug → | ||
| 13–7 | 0.04 | 14% | 21 Aug → | ||
| 9–13 | -0.03 | 29% | 21 Aug → | ||
| 13–5 | 0.08 | 26% | 21 Aug → | ||
| 13–3 | 0.02 | 36% | 21 Aug → | ||
| 13–4 | 0.04 | 22% | 20 Aug → | ||
| 13–5 | 0.01 | 29% | 20 Aug → | ||
| 3–13 | -0.11 | 37% | 20 Aug → | ||
| 7–13 | -0.01 | 23% | 20 Aug → | ||
| 5–13 | -0.00 | 24% | 20 Aug → | ||
| 13–10 | 0.05 | 37% | 20 Aug → | ||
| 12–12 | -0.02 | 30% | 20 Aug → | ||
| 13–5 | 0.04 | 15% | 20 Aug → | ||
| 13–4 | 0.10 | 21% | 20 Aug → | ||
| 13–4 | -0.08 | 20% | 20 Aug → | ||
| 6–13 | -0.07 | 24% | 20 Aug → | ||
| 13–3 | 0.13 | 32% | 20 Aug → | ||
| 0–5 | -0.06 | 0% | 20 Aug → | ||
| 6–13 | -0.05 | 30% | 20 Aug → | ||
| 12–12 | 0.01 | 20% | 19 Aug → | ||
| 13–9 | 0.04 | 35% | 19 Aug → | ||
| 3–13 | -0.03 | 28% | 19 Aug → | ||
| 13–4 | 0.05 | 30% | 19 Aug → | ||
| 11–13 | -0.10 | 18% | 19 Aug → | ||
| 12–12 | 0.04 | 24% | 19 Aug → | ||
| 13–9 | 0.05 | 36% | 19 Aug → | ||
| 13–3 | -0.04 | 28% | 19 Aug → | ||
| 12–12 | -0.04 | 38% | 19 Aug → | ||
| 13–4 | 0.04 | 20% | 18 Aug → | ||
| 13–7 | 0.05 | 29% | 18 Aug → | ||
| 8–13 | 0.07 | 31% | 18 Aug → | ||
| 13–2 | 0.19 | 18% | 16 Aug → | ||
| 13–7 | 0.06 | 26% | 16 Aug → | ||
| 12–12 | 0.03 | 24% | 16 Aug → | ||
| 8–13 | -0.05 | 17% | 15 Aug → | ||
| 13–10 | -0.04 | 23% | 15 Aug → | ||
| 13–3 | 0.05 | 26% | 15 Aug → | ||
| 2–13 | 0.04 | 22% | 15 Aug → | ||
| 0–13 | -0.03 | 21% | 15 Aug → | ||
| 1–13 | -0.11 | 17% | 15 Aug → | ||
| 13–1 | 0.04 | 33% | 15 Aug → | ||
| 7–13 | -0.02 | 27% | 15 Aug → | ||
| 13–7 | -0.00 | 40% | 15 Aug → | ||
| 13–11 | -0.05 | 31% | 4 Aug → | ||
| 10–13 | -0.01 | 32% | 4 Aug → | ||
| 13–8 | 0.04 | 22% | 4 Aug → | ||
| 12–12 | 0.03 | 30% | 4 Aug → | ||
| 8–13 | 0.01 | 14% | 4 Aug → | ||
| 13–6 | 0.01 | 35% | 3 Aug → | ||
| 8–1 | 0.14 | 29% | 3 Aug → | ||
| 4–13 | -0.04 | 29% | 3 Aug → | ||
| 8–13 | -0.04 | 34% | 1 Aug → | ||
| 13–11 | -0.03 | 28% | 31 Jul → | ||
| 13–10 | 0.01 | 24% | 31 Jul → | ||
| 13–8 | 0.06 | 43% | 31 Jul → | ||
| 13–2 | 0.21 | 22% | 31 Jul → | ||
| 13–2 | -0.01 | 32% | 31 Jul → | ||
| 13–8 | 0.05 | 24% | 31 Jul → | ||
| 13–10 | 0.02 | 37% | 31 Jul → | ||
| 4–13 | -0.08 | 27% | 31 Jul → | ||
| 3–13 | 0.02 | 31% | 31 Jul → | ||
| 9–13 | -0.06 | 10% | 31 Jul → | ||
| 13–10 | 0.03 | 32% | 31 Jul → | ||
| 12–12 | -0.04 | 33% | 31 Jul → | ||
| 13–9 | 0.05 | 25% | 30 Jul → | ||
| 13–3 | 0.11 | 26% | 30 Jul → | ||
| 13–10 | -0.03 | 21% | 30 Jul → | ||
| 9–13 | -0.04 | 19% | 30 Jul → | ||
| 13–4 | 0.06 | 19% | 30 Jul → | ||
| boulder | 13–8 | -0.02 | 34% | 30 Jul → | |
| 13–9 | 0.00 | 24% | 30 Jul → | ||
| 13–10 | 0.02 | 29% | 30 Jul → | ||
| 8–13 | -0.10 | 46% | 30 Jul → | ||
| 13–8 | -0.00 | 31% | 29 Jul → | ||
| 15–15 | 0.06 | 14% | 27 Jul → | ||
| 5–13 | -0.08 | 16% | 25 Jul → | ||
| 13–10 | -0.00 | 35% | 25 Jul → | ||
| 13–4 | 0.08 | 41% | 25 Jul → | ||
| 13–6 | 0.05 | 44% | 25 Jul → | ||
| 6–13 | -0.02 | 29% | 25 Jul → | ||
| 13–8 | -0.10 | 25% | 24 Jul → | ||
| 13–3 | 0.05 | 18% | 24 Jul → | ||
| 13–6 | 0.02 | 24% | 24 Jul → | ||
| 4–10 | -0.06 | 8% | 23 Jul → | ||
| 0–5 | -0.14 | 0% | 23 Jul → |
Match data via Leetify.