:D — CS2 Stats
76561198453267486[U:1:493001758]✓ 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 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 ropz 94% playstyle similarity
Most alike: utility contribution, positioning 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
Aim. Aim score of 87 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 557ms 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 |
|---|---|---|---|---|---|
 mirage | A | 22 | 14–8 | 64% | 0.04 |
 inferno | S | 20 | 13–7 | 65% | 0.09 |
 ancient | B | 15 | 8–7 | 53% | 0.01 |
 nuke | D | 12 | 3–9 | 25% | 0.05 |
 overpass | D | 9 | 2–7 | 22% | 0.05 |
 vertigo | B | 6 | 3–3 | 50% | 0.05 |
 anubis | C | 5 | 2–3 | 40% | 0.00 |
| poseidon | — | 3 | 1–2 | 33% | -0.01 |
| rooftop | — | 2 | 1–1 | 50% | 0.04 |
 train | — | 2 | 0–2 | 0% | 0.01 |
| memento | — | 2 | 0–2 | 0% | -0.04 |
| sanctum | — | 1 | 1–0 | 100% | 0.27 |
 dust2 | — | 1 | 1–0 | 100% | -0.01 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 25 | 44% | 1.10 | 16.4 |
| Ancient | 21 | 43% | 1.05 | 19.9 |
| Inferno | 12 | 58% | 1.40 | 16.8 |
| Nuke | 6 | 67% | 1.29 | 15.8 |
| Anubis | 6 | 67% | 0.82 | 12.5 |
| Vertigo | 5 | 0% | 0.97 | 14.4 |
| Dust2 | 3 | 0% | 0.95 | 13.3 |
| Train | 1 | 0% | 1.13 | 17.0 |
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 36.9772% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 3–13 | -0.02 | 33% | 2 Jul → | |
| mirage | 13–7 | 0.03 | 28% | 2 Jul → | |
| anubis | 10–13 | -0.08 | 21% | 2 Jul → | |
| inferno | 9–5 | 0.06 | 22% | 19 Jun → | |
| ancient | 13–8 | 0.02 | 24% | 13 Feb → | |
| overpass | 10–13 | -0.03 | 26% | 13 Feb → | |
| nuke | 1–13 | -0.06 | 9% | 13 Feb → | |
| inferno | 13–7 | -0.05 | 20% | 11 Feb → | |
| mirage | 13–7 | -0.00 | 32% | 11 Feb → | |
| mirage | 4–13 | 0.01 | 26% | 11 Feb → | |
| inferno | 8–8 | 0.07 | 27% | 10 Feb → | |
| mirage | 7–13 | 0.10 | 42% | 10 Feb → | |
| mirage | 13–10 | -0.02 | 20% | 10 Feb → | |
| nuke | 13–4 | 0.15 | 36% | 10 Feb → | |
| mirage | 13–6 | 0.15 | 33% | 10 Feb → | |
| vertigo | 13–11 | 0.09 | 25% | 7 Feb → | |
| inferno | 13–9 | 0.05 | 34% | 7 Feb → | |
| mirage | 13–6 | 0.10 | 26% | 7 Feb → | |
| overpass | 5–9 | -0.01 | 14% | 7 Feb → | |
| nuke | 7–9 | 0.12 | 41% | 7 Feb → | |
| poseidon | 2–9 | -0.18 | 22% | 7 Feb → | |
| poseidon | 9–5 | 0.13 | 39% | 7 Feb → | |
| inferno | 13–10 | -0.02 | 21% | 31 Jan → | |
| nuke | 9–13 | 0.01 | 21% | 31 Jan → | |
| ancient | 16–12 | 0.04 | 14% | 31 Jan → | |
| mirage | 13–9 | 0.10 | 29% | 31 Jan → | |
| inferno | 9–4 | 0.17 | 19% | 25 Jan → | |
| sanctum | 9–3 | 0.27 | 20% | 25 Jan → | |
| poseidon | 8–8 | 0.01 | 47% | 23 Jan → | |
| nuke | 6–9 | -0.01 | 28% | 23 Jan → | |
| ancient | 4–13 | -0.04 | 18% | 23 Jan → | |
| anubis | 2–13 | -0.06 | 15% | 23 Jan → | |
| dust2 | 13–10 | -0.01 | 24% | 22 Jan → | |
| mirage | 13–7 | 0.01 | 25% | 22 Jan → | |
| ancient | 13–5 | 0.09 | 24% | 22 Jan → | |
| mirage | 13–8 | 0.01 | 26% | 22 Jan → | |
| nuke | 13–5 | 0.07 | 26% | 22 Jan → | |
| mirage | 13–5 | 0.08 | 32% | 22 Jan → | |
| mirage | 13–7 | 0.10 | 27% | 22 Jan → | |
| overpass | 13–0 | 0.19 | 29% | 21 Jan → | |
| overpass | 9–13 | 0.10 | 29% | 21 Jan → | |
| inferno | 13–4 | 0.24 | 24% | 21 Jan → | |
| inferno | 7–13 | 0.04 | 34% | 17 Jan → | |
| inferno | 9–13 | 0.03 | 16% | 17 Jan → | |
| mirage | 11–13 | 0.02 | 19% | 19 Dec → | |
| mirage | 15–15 | 0.00 | 18% | 19 Dec → | |
| mirage | 13–11 | 0.09 | 23% | 18 Dec → | |
| inferno | 13–7 | 0.12 | 22% | 18 Dec → | |
| overpass | 7–9 | 0.02 | 24% | 7 Dec → | |
| inferno | 3–9 | 0.03 | 33% | 7 Dec → | |
| overpass | 8–8 | 0.03 | 19% | 2 Dec → | |
| inferno | 4–9 | -0.02 | 29% | 2 Dec → | |
| rooftop | 1–9 | -0.17 | 27% | 2 Dec → | |
| rooftop | 9–1 | 0.25 | 39% | 2 Dec → | |
| nuke | 6–9 | 0.03 | 27% | 2 Dec → | |
| vertigo | 6–9 | 0.05 | 27% | 2 Dec → | |
| nuke | 8–8 | 0.15 | 35% | 2 Dec → | |
| inferno | 6–9 | 0.06 | 40% | 2 Dec → | |
| inferno | 8–8 | 0.10 | 42% | 2 Dec → | |
| nuke | 8–8 | 0.13 | 45% | 2 Dec → | |
| inferno | 9–5 | 0.31 | 23% | 2 Dec → | |
| mirage | 19–16 | 0.00 | 20% | 21 Apr → | |
| ancient | 11–13 | 0.01 | 18% | 21 Apr → | |
| inferno | 16–14 | 0.09 | 27% | 20 Apr → | |
| train | 7–13 | -0.02 | 24% | 20 Apr → | |
| nuke | 13–10 | 0.01 | 14% | 20 Apr → | |
| mirage | 9–13 | 0.03 | 10% | 20 Apr → | |
| ancient | 13–8 | -0.02 | 16% | 20 Apr → | |
| mirage | 13–3 | 0.13 | 18% | 20 Apr → | |
| inferno | 13–6 | 0.05 | 26% | 20 Apr → | |
| inferno | 13–4 | -0.00 | 42% | 20 Apr → | |
| ancient | 16–13 | -0.04 | 18% | 20 Apr → | |
| inferno | 6–0 | 0.17 | 20% | 19 Apr → | |
| nuke | 4–13 | 0.01 | 16% | 19 Apr → | |
| ancient | 11–13 | -0.03 | 17% | 19 Apr → | |
| train | 5–13 | 0.03 | 22% | 11 Apr → | |
| ancient | 25–23 | 0.01 | 21% | 9 Apr → | |
| mirage | 5–13 | 0.00 | 19% | 28 Jul → | |
| ancient | 13–11 | 0.04 | 17% | 18 Jul → | |
| ancient | 11–13 | -0.04 | 20% | 16 Jul → | |
| memento | 8–8 | -0.15 | 2% | 14 Jul → | |
| vertigo | 13–10 | 0.04 | 35% | 7 Jul → | |
| overpass | 13–0 | 0.08 | 38% | 6 Jul → | |
| ancient | 13–11 | 0.04 | 24% | 2 Jul → | |
| vertigo | 8–13 | 0.08 | 20% | 2 Jul → | |
| anubis | 13–7 | 0.15 | 28% | 2 Jul → | |
| anubis | 11–13 | 0.03 | 21% | 2 Jul → | |
| memento | 6–9 | 0.07 | 16% | 25 Jun → | |
| overpass | 5–9 | 0.03 | 26% | 23 Jun → | |
| nuke | 5–9 | 0.02 | 31% | 23 Jun → | |
| vertigo | 5–9 | -0.04 | 25% | 24 May → | |
| ancient | 1–13 | 0.04 | 24% | 15 Mar → | |
| vertigo | 9–6 | 0.10 | 50% | 12 Feb → | |
| mirage | 6–13 | -0.09 | 13% | 27 Jan → | |
| mirage | 13–10 | 0.04 | 31% | 27 Jan → | |
| anubis | 13–10 | -0.02 | 13% | 17 Jan → | |
| mirage | 12–16 | -0.04 | 32% | 15 Jan → | |
| ancient | 4–13 | -0.01 | 20% | 15 Jan → | |
| inferno | 9–6 | 0.20 | 23% | 14 Jan → | |
| overpass | 7–9 | 0.06 | 42% | 8 Jan → |
Match data via Leetify.