— CS2 Stats
76561198196362323[U:1:236096595]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesLimited 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 NiKo 94% playstyle similarity
Most alike: utility contribution, 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
Flashes. 0.79 enemies blinded per flash — utility that consistently lands.
Areas to improve
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 50% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 601ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 27 | 9–18 | 33% | -0.00 | |
| B | 26 | 14–12 | 54% | 0.01 | |
| S | 17 | 11–6 | 65% | 0.04 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| C | 8 | 3–5 | 38% | -0.02 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 4 | 3–1 | 75% | 0.06 | |
| — | 4 | 3–1 | 75% | 0.06 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 27). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 45 | 64% | 1.36 | 18.9 |
| Dust2 | 28 | 61% | 1.33 | 22.3 |
| Ancient | 22 | 73% | 1.27 | 19.4 |
| Anubis | 15 | 47% | 1.28 | 19.1 |
| Inferno | 14 | 79% | 1.57 | 18.1 |
| Nuke | 9 | 78% | 1.54 | 24.7 |
| Vertigo | 7 | 57% | 1.02 | 15.3 |
| Train | 3 | 33% | 1.26 | 18.0 |
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 28.3222% — 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 27 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 11% | 28 Aug → | ||
| 10–13 | -0.02 | 45% | 27 Aug → | ||
| 5–13 | -0.06 | 15% | 26 Aug → | ||
| 6–13 | -0.02 | 19% | 19 Aug → | ||
| 13–9 | 0.05 | 29% | 14 Aug → | ||
| 6–13 | -0.03 | 11% | 6 Aug → | ||
| 10–13 | 0.08 | 20% | 5 Aug → | ||
| 0–13 | 0.00 | 100% | 26 Jul → | ||
| 13–4 | -0.00 | 21% | 26 Jul → | ||
| 13–8 | 0.10 | 32% | 25 Jul → | ||
| 15–15 | -0.03 | 28% | 25 Jul → | ||
| 13–4 | 0.04 | 30% | 23 Jul → | ||
| 13–9 | 0.04 | 20% | 21 Jul → | ||
| 13–5 | -0.01 | 25% | 5 Jul → | ||
| 9–13 | -0.06 | 14% | 5 Jul → | ||
| 8–13 | 0.03 | 28% | 13 Jun → | ||
| 3–13 | 0.04 | 22% | 5 Jun → | ||
| 6–13 | 0.03 | 12% | 5 Jun → | ||
| 11–13 | -0.03 | 16% | 4 Jun → | ||
| 9–1 | 0.08 | 25% | 3 Jun → | ||
| 13–7 | 0.04 | 23% | 2 Jun → | ||
| 9–13 | 0.05 | 21% | 30 May → | ||
| 11–13 | 0.01 | 25% | 28 May → | ||
| 13–3 | 0.11 | 18% | 28 May → | ||
| 13–10 | -0.03 | 12% | 27 May → | ||
| 13–11 | 0.00 | 9% | 16 May → | ||
| 11–13 | -0.01 | 19% | 16 May → | ||
| 9–13 | 0.04 | 34% | 13 May → | ||
| 13–2 | 0.15 | 42% | 13 May → | ||
| 11–13 | 0.01 | 38% | 12 May → | ||
| 13–7 | 0.08 | 30% | 12 May → | ||
| 13–10 | -0.00 | 20% | 12 May → | ||
| 6–13 | 0.01 | 19% | 12 May → | ||
| 13–6 | 0.02 | 24% | 11 May → | ||
| 13–8 | 0.06 | 25% | 10 May → | ||
| 13–11 | 0.01 | 30% | 9 May → | ||
| 16–14 | 0.06 | 25% | 9 May → | ||
| 6–13 | -0.04 | 20% | 9 May → | ||
| 5–13 | -0.04 | 19% | 8 May → | ||
| 11–13 | 0.03 | 18% | 8 May → | ||
| 9–13 | -0.01 | 18% | 8 May → | ||
| 8–13 | 0.04 | 24% | 7 May → | ||
| 10–13 | -0.03 | 24% | 6 May → | ||
| 9–13 | -0.01 | 10% | 6 May → | ||
| 5–13 | 0.07 | 13% | 5 May → | ||
| 9–13 | 0.05 | 27% | 5 May → | ||
| 12–16 | -0.01 | 30% | 4 May → | ||
| 13–10 | 0.00 | 22% | 4 May → | ||
| 13–5 | -0.02 | 21% | 4 May → | ||
| 6–13 | 0.01 | 20% | 4 May → | ||
| 11–13 | -0.03 | 37% | 4 May → | ||
| 9–13 | -0.03 | 21% | 4 May → | ||
| 10–13 | -0.06 | 32% | 3 May → | ||
| 13–11 | -0.02 | 32% | 3 May → | ||
| 0–13 | -0.09 | 22% | 3 May → | ||
| 15–15 | -0.03 | 19% | 3 May → | ||
| 13–5 | 0.02 | 15% | 3 May → | ||
| 16–14 | -0.02 | 17% | 3 May → | ||
| 13–1 | 0.05 | 16% | 3 May → | ||
| 10–13 | -0.05 | 19% | 2 May → | ||
| 9–13 | -0.03 | 33% | 2 May → | ||
| 0–3 | -0.12 | 0% | 2 May → | ||
| 13–3 | 0.10 | 10% | 2 May → | ||
| 13–3 | 0.03 | 21% | 2 May → | ||
| 6–13 | -0.02 | 32% | 2 May → | ||
| 13–4 | -0.09 | 23% | 2 May → | ||
| 13–7 | 0.01 | 26% | 2 May → | ||
| 13–6 | -0.03 | 15% | 30 Apr → | ||
| 13–9 | 0.06 | 25% | 30 Apr → | ||
| 13–8 | 0.01 | 23% | 30 Apr → | ||
| 13–9 | 0.09 | 31% | 30 Apr → | ||
| 13–2 | 0.09 | 19% | 30 Apr → | ||
| 13–16 | 0.09 | 30% | 29 Apr → | ||
| 13–16 | 0.04 | 34% | 29 Apr → | ||
| 16–12 | 0.10 | 13% | 29 Apr → | ||
| 13–7 | 0.09 | 23% | 29 Apr → | ||
| 3–13 | -0.05 | 14% | 27 Apr → | ||
| 13–11 | 0.03 | 24% | 26 Apr → | ||
| 13–9 | 0.00 | 20% | 26 Apr → | ||
| 10–13 | 0.00 | 28% | 26 Apr → | ||
| 13–1 | 0.07 | 18% | 26 Apr → | ||
| 13–5 | -0.01 | 23% | 26 Apr → | ||
| 13–8 | 0.03 | 22% | 26 Apr → | ||
| 16–14 | -0.01 | 22% | 25 Apr → | ||
| 9–13 | -0.02 | 20% | 25 Apr → | ||
| 13–6 | 0.02 | 21% | 24 Apr → | ||
| 16–12 | 0.08 | 14% | 24 Apr → | ||
| 13–10 | 0.11 | 19% | 22 Apr → | ||
| 7–13 | 0.02 | 12% | 22 Apr → | ||
| 13–7 | 0.01 | 14% | 22 Apr → | ||
| 7–13 | -0.02 | 17% | 20 Apr → | ||
| 16–14 | 0.04 | 24% | 19 Apr → | ||
| 13–16 | -0.04 | 15% | 16 Apr → | ||
| 3–13 | -0.03 | 17% | 15 Apr → | ||
| 13–10 | 0.02 | 11% | 15 Apr → | ||
| 13–8 | 0.11 | 29% | 14 Apr → | ||
| 6–13 | -0.06 | 15% | 13 Apr → | ||
| 9–13 | 0.06 | 24% | 12 Apr → | ||
| 3–13 | -0.03 | 41% | 12 Apr → | ||
| 13–4 | -0.06 | 16% | 12 Apr → |
Match data via Leetify.