Mm a ver duvidas? — CS2 Stats
PT76561198382040245[U:1:421774517]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimer
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 90% playstyle similarity
Most alike: opening-duel success, aim profile.
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 89 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 565ms 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 6.0/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | C | 31 | 13–18 | 42% | 0.00 |
 dust2 | A | 18 | 10–8 | 56% | 0.01 |
 inferno | D | 15 | 5–10 | 33% | -0.03 |
 ancient | B | 11 | 5–6 | 45% | 0.02 |
 cache | A | 11 | 6–5 | 55% | -0.01 |
 nuke | S | 6 | 4–2 | 67% | -0.03 |
 anubis | B | 6 | 3–3 | 50% | 0.04 |
 vertigo | — | 1 | 1–0 | 100% | 0.15 |
 overpass | — | 1 | 0–1 | 0% | 0.10 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 157 | 55% | 1.03 | 15.7 |
| Dust2 | 126 | 54% | 1.18 | 16.8 |
| Anubis | 88 | 52% | 1.04 | 16.3 |
| Ancient | 70 | 54% | 1.07 | 15.8 |
| Inferno | 55 | 60% | 1.21 | 16.9 |
| Nuke | 27 | 37% | 0.89 | 14.1 |
| Cache | 18 | 67% | 1.12 | 16.3 |
| Overpass | 6 | 33% | 0.87 | 15.7 |
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 31.0578% — 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.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 3–9 | -0.17 | 11% | 28 Aug → | |
| inferno | 9–6 | 0.04 | 13% | 28 Aug → | |
| inferno | 1–9 | -0.06 | 16% | 26 Aug → | |
| vertigo | 9–2 | 0.15 | 26% | 26 Aug → | |
| inferno | 7–9 | 0.04 | 27% | 26 Aug → | |
| inferno | 5–13 | -0.04 | 17% | 25 Aug → | |
| dust2 | 13–11 | 0.02 | 18% | 25 Aug → | |
| ancient | 13–7 | 0.01 | 22% | 25 Aug → | |
| nuke | 0–13 | -0.08 | 80% | 25 Aug → | |
| mirage | 13–5 | -0.02 | 33% | 24 Aug → | |
| mirage | 7–13 | 0.06 | 35% | 24 Aug → | |
| inferno | 9–3 | -0.02 | 43% | 23 Aug → | |
| inferno | 7–9 | -0.15 | 21% | 23 Aug → | |
| mirage | 13–11 | -0.02 | 12% | 19 Aug → | |
| mirage | 13–6 | 0.06 | 33% | 19 Aug → | |
| mirage | 5–13 | 0.01 | 20% | 18 Aug → | |
| dust2 | 14–16 | 0.05 | 21% | 18 Aug → | |
| inferno | 0–5 | -0.08 | 0% | 18 Aug → | |
| anubis | 13–3 | 0.08 | 32% | 18 Aug → | |
| cache | 7–13 | -0.05 | 32% | 18 Aug → | |
| mirage | 6–13 | 0.04 | 28% | 18 Aug → | |
| mirage | 13–2 | -0.00 | 17% | 18 Aug → | |
| mirage | 8–13 | 0.01 | 33% | 14 Aug → | |
| anubis | 13–10 | 0.04 | 28% | 13 Aug → | |
| nuke | 13–3 | -0.01 | 14% | 13 Aug → | |
| ancient | 10–13 | -0.06 | 18% | 13 Aug → | |
| ancient | 13–2 | -0.01 | 17% | 13 Aug → | |
| ancient | 9–13 | 0.02 | 20% | 11 Aug → | |
| ancient | 5–13 | -0.02 | 12% | 31 Jul → | |
| inferno | 6–9 | -0.08 | 11% | 31 Jul → | |
| mirage | 13–16 | 0.01 | 20% | 30 Jul → | |
| mirage | 1–13 | -0.10 | 19% | 30 Jul → | |
| cache | 2–13 | -0.04 | 32% | 30 Jul → | |
| dust2 | 13–3 | 0.10 | 25% | 30 Jul → | |
| nuke | 13–4 | -0.03 | 21% | 30 Jul → | |
| inferno | 9–7 | 0.01 | 22% | 29 Jul → | |
| mirage | 9–13 | 0.04 | 33% | 28 Jul → | |
| dust2 | 13–3 | 0.12 | 26% | 25 Jul → | |
| mirage | 13–6 | 0.06 | 33% | 25 Jul → | |
| dust2 | 3–13 | 0.03 | 21% | 22 Jul → | |
| ancient | 9–13 | 0.05 | 21% | 22 Jul → | |
| mirage | 13–7 | 0.01 | 54% | 22 Jul → | |
| mirage | 2–13 | -0.09 | 50% | 21 Jul → | |
| cache | 8–13 | -0.01 | 25% | 21 Jul → | |
| cache | 13–6 | 0.05 | 22% | 21 Jul → | |
| mirage | 13–11 | 0.08 | 22% | 20 Jul → | |
| mirage | 13–11 | 0.01 | 24% | 20 Jul → | |
| dust2 | 8–13 | -0.04 | 9% | 17 Jul → | |
| dust2 | 1–13 | -0.09 | 25% | 16 Jul → | |
| mirage | 6–13 | -0.08 | 44% | 15 Jul → | |
| mirage | 16–13 | 0.01 | 9% | 15 Jul → | |
| cache | 13–3 | -0.05 | 26% | 15 Jul → | |
| dust2 | 2–7 | -0.12 | 13% | 14 Jul → | |
| nuke | 13–7 | 0.01 | 14% | 14 Jul → | |
| mirage | 13–4 | -0.04 | 21% | 14 Jul → | |
| dust2 | 13–9 | 0.02 | 4% | 13 Jul → | |
| dust2 | 13–7 | 0.02 | 23% | 13 Jul → | |
| ancient | 13–7 | 0.01 | 21% | 13 Jul → | |
| mirage | 11–13 | -0.04 | 31% | 13 Jul → | |
| dust2 | 13–5 | 0.00 | 12% | 12 Jul → | |
| cache | 8–13 | -0.08 | 21% | 12 Jul → | |
| mirage | 11–13 | -0.00 | 25% | 12 Jul → | |
| cache | 13–7 | 0.03 | 24% | 12 Jul → | |
| anubis | 11–13 | 0.03 | 18% | 11 Jul → | |
| ancient | 10–13 | 0.09 | 23% | 11 Jul → | |
| anubis | 11–13 | 0.01 | 12% | 11 Jul → | |
| cache | 9–13 | 0.00 | 24% | 11 Jul → | |
| mirage | 5–13 | -0.04 | 31% | 11 Jul → | |
| anubis | 13–8 | 0.10 | 30% | 11 Jul → | |
| mirage | 11–13 | 0.02 | 28% | 10 Jul → | |
| cache | 13–6 | 0.02 | 27% | 10 Jul → | |
| dust2 | 6–13 | 0.00 | 29% | 10 Jul → | |
| mirage | 9–13 | 0.04 | 20% | 10 Jul → | |
| mirage | 13–7 | -0.03 | 17% | 10 Jul → | |
| inferno | 11–13 | 0.04 | 16% | 10 Jul → | |
| inferno | 13–7 | 0.02 | 29% | 10 Jul → | |
| dust2 | 13–6 | -0.08 | 14% | 9 Jul → | |
| mirage | 7–13 | 0.00 | 17% | 9 Jul → | |
| dust2 | 13–16 | -0.02 | 27% | 9 Jul → | |
| cache | 13–6 | 0.01 | 33% | 9 Jul → | |
| mirage | 13–7 | -0.04 | 31% | 9 Jul → | |
| ancient | 13–8 | 0.02 | 23% | 9 Jul → | |
| mirage | 13–10 | 0.12 | 17% | 6 Jul → | |
| dust2 | 13–8 | 0.02 | 12% | 30 Jun → | |
| mirage | 8–13 | 0.04 | 20% | 30 Jun → | |
| mirage | 7–13 | 0.01 | 23% | 16 Jun → | |
| overpass | 9–13 | 0.10 | 22% | 16 Jun → | |
| inferno | 13–5 | 0.07 | 13% | 15 Jun → | |
| mirage | 6–13 | -0.01 | 20% | 15 Jun → | |
| inferno | 2–13 | -0.07 | 27% | 4 Jun → | |
| inferno | 11–13 | -0.00 | 26% | 27 May → | |
| anubis | 11–13 | 0.01 | 11% | 26 May → | |
| cache | 13–9 | 0.03 | 15% | 25 May → | |
| ancient | 4–13 | 0.04 | 21% | 25 May → | |
| nuke | 4–13 | -0.06 | 29% | 25 May → | |
| dust2 | 13–4 | 0.06 | 31% | 25 May → | |
| dust2 | 13–4 | 0.07 | 36% | 25 May → | |
| ancient | 13–8 | 0.08 | 14% | 25 May → | |
| dust2 | 11–13 | 0.02 | 31% | 24 May → | |
| nuke | 13–10 | -0.04 | 19% | 24 May → |
Match data via Leetify.