★☄ — CS2 Stats
76561199050578587[U:1:1090312859]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 b1t 97% playstyle similarity
Most alike: opening-duel success, 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
Aim. Aim score of 94 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 55% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| A | 38 | 21–17 | 55% | 0.06 | |
| A | 33 | 21–12 | 64% | 0.07 | |
| S | 9 | 6–3 | 67% | 0.04 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.03 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 2–0 | 100% | 0.11 | |
| office | — | 2 | 2–0 | 100% | 0.11 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 52% | 1.55 | 19.4 |
| Dust2 | 21 | 71% | 1.45 | 20.3 |
| Inferno | 13 | 62% | 1.62 | 20.1 |
| Cache | 10 | 70% | 1.86 | 22.8 |
| Nuke | 8 | 50% | 1.29 | 17.9 |
| Anubis | 2 | 50% | 1.23 | 24.0 |
| Ancient | 1 | 0% | 1.38 | 18.0 |
| Train | 1 | 100% | 2.50 | 25.0 |
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 32.2523% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–0 | 0.07 | 13% | 27 Aug → | ||
| 13–10 | 0.22 | 28% | 27 Aug → | ||
| 0–13 | -0.04 | 35% | 26 Aug → | ||
| 6–13 | 0.04 | 22% | 26 Aug → | ||
| 13–7 | 0.10 | 24% | 26 Aug → | ||
| 13–7 | 0.07 | 25% | 26 Aug → | ||
| 12–12 | -0.01 | 22% | 25 Aug → | ||
| 13–9 | -0.01 | 42% | 25 Aug → | ||
| 9–13 | 0.13 | 25% | 25 Aug → | ||
| 13–11 | 0.12 | 34% | 21 Aug → | ||
| 5–13 | 0.02 | 33% | 21 Aug → | ||
| 13–11 | 0.05 | 25% | 21 Aug → | ||
| 13–7 | 0.09 | 18% | 21 Aug → | ||
| 13–3 | 0.27 | 21% | 21 Aug → | ||
| 12–12 | 0.13 | 41% | 20 Aug → | ||
| 13–9 | 0.03 | 24% | 20 Aug → | ||
| 13–7 | 0.07 | 25% | 20 Aug → | ||
| 8–13 | 0.08 | 43% | 20 Aug → | ||
| 6–13 | 0.09 | 25% | 18 Aug → | ||
| 13–9 | 0.03 | 29% | 17 Aug → | ||
| 13–2 | 0.16 | 82% | 17 Aug → | ||
| 0–13 | -0.03 | 44% | 16 Aug → | ||
| 13–5 | 0.17 | 48% | 16 Aug → | ||
| 13–5 | 0.16 | 36% | 16 Aug → | ||
| 13–5 | 0.10 | 33% | 13 Aug → | ||
| 13–9 | 0.02 | 44% | 13 Aug → | ||
| 13–9 | -0.00 | 33% | 13 Aug → | ||
| 13–3 | 0.00 | 34% | 13 Aug → | ||
| 13–7 | 0.04 | 28% | 12 Aug → | ||
| 13–11 | 0.09 | 36% | 12 Aug → | ||
| 12–12 | 0.00 | 25% | 12 Aug → | ||
| 11–13 | -0.02 | 26% | 12 Aug → | ||
| 12–12 | 0.01 | 42% | 12 Aug → | ||
| 11–13 | 0.01 | 36% | 10 Aug → | ||
| 13–5 | 0.15 | 37% | 9 Aug → | ||
| 12–12 | 0.05 | 26% | 8 Aug → | ||
| 13–8 | 0.04 | 18% | 8 Aug → | ||
| 13–6 | 0.10 | 52% | 8 Aug → | ||
| 13–7 | 0.08 | 32% | 29 Jul → | ||
| 13–8 | 0.06 | 22% | 29 Jul → | ||
| 13–8 | 0.01 | 27% | 28 Jul → | ||
| 5–13 | 0.03 | 36% | 26 Jul → | ||
| 13–8 | 0.04 | 14% | 24 Jul → | ||
| 13–4 | 0.15 | 36% | 24 Jul → | ||
| 15–15 | 0.00 | 25% | 24 Jul → | ||
| 14–16 | -0.04 | 16% | 24 Jul → | ||
| 7–13 | 0.00 | 21% | 23 Jul → | ||
| 1–7 | 0.02 | 33% | 23 Jul → | ||
| 13–8 | 0.05 | 20% | 22 Jul → | ||
| 13–11 | 0.07 | 16% | 20 Jul → | ||
| 16–14 | 0.06 | 28% | 20 Jul → | ||
| 13–11 | 0.00 | 19% | 19 Jul → | ||
| 13–9 | 0.09 | 34% | 19 Jul → | ||
| 15–15 | 0.02 | 44% | 19 Jul → | ||
| 13–11 | 0.07 | 38% | 19 Jul → | ||
| 13–8 | 0.03 | 28% | 17 Jul → | ||
| 13–6 | 0.27 | 31% | 14 Jul → | ||
| 13–2 | 0.14 | 38% | 14 Jul → | ||
| 13–6 | 0.06 | 25% | 13 Jul → | ||
| 13–8 | 0.08 | 27% | 12 Jul → | ||
| 13–2 | 0.07 | 18% | 12 Jul → | ||
| 13–8 | 0.06 | 16% | 12 Jul → | ||
| 13–8 | 0.03 | 17% | 12 Jul → | ||
| 12–16 | 0.03 | 33% | 11 Jul → | ||
| 11–13 | 0.05 | 30% | 11 Jul → | ||
| 13–9 | 0.07 | 39% | 11 Jul → | ||
| 5–13 | 0.06 | 21% | 11 Jul → | ||
| 13–11 | 0.02 | 26% | 11 Jul → | ||
| 1–10 | 0.03 | 29% | 11 Jul → | ||
| 12–12 | 0.03 | 17% | 10 Jul → | ||
| 6–13 | -0.01 | 39% | 9 Jul → | ||
| 13–5 | 0.10 | 22% | 9 Jul → | ||
| 13–6 | 0.02 | 22% | 9 Jul → | ||
| office | 13–11 | 0.03 | 16% | 9 Jul → | |
| 10–13 | 0.05 | 24% | 1 Jul → | ||
| 11–13 | -0.04 | 18% | 1 Jul → | ||
| 8–13 | -0.07 | 4% | 1 Jul → | ||
| 14–16 | 0.02 | 29% | 1 Jul → | ||
| 13–9 | 0.04 | 23% | 30 Jun → | ||
| 13–7 | 0.04 | 38% | 30 Jun → | ||
| 13–4 | 0.06 | 33% | 30 Jun → | ||
| 10–13 | 0.09 | 26% | 30 Jun → | ||
| 11–13 | 0.01 | 27% | 30 Jun → | ||
| 2–13 | -0.10 | 17% | 24 Jun → | ||
| 9–13 | 0.00 | 41% | 23 Jun → | ||
| office | 13–4 | 0.19 | 39% | 23 Jun → | |
| 13–7 | 0.03 | 28% | 23 Jun → | ||
| 13–9 | 0.06 | 22% | 23 Jun → | ||
| 13–6 | 0.07 | 18% | 23 Jun → | ||
| 15–15 | 0.13 | 29% | 23 Jun → | ||
| 7–13 | -0.01 | 17% | 23 Jun → | ||
| 8–13 | 0.04 | 22% | 23 Jun → | ||
| 12–12 | 0.00 | 35% | 23 Jun → | ||
| 13–9 | 0.00 | 23% | 22 Jun → | ||
| 12–12 | 0.04 | 20% | 22 Jun → | ||
| 7–13 | 0.11 | 22% | 22 Jun → | ||
| 6–13 | -0.01 | 29% | 22 Jun → | ||
| 13–11 | 0.06 | 18% | 22 Jun → | ||
| 13–7 | 0.07 | 24% | 22 Jun → | ||
| 0–2 | -0.00 | 50% | 22 Jun → |
Match data via Leetify.
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