NC — CS2 Stats
76561198093411174[U:1:133145446]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -60pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong 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 NiKo 89% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower 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
Areas to improve
T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 612ms 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 5.6/10 (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 |
|---|---|---|---|---|---|
| S | 23 | 16–7 | 70% | -0.01 | |
| C | 22 | 8–14 | 36% | -0.00 | |
| C | 21 | 8–13 | 38% | -0.02 | |
| S | 16 | 11–5 | 69% | 0.01 | |
| A | 9 | 5–4 | 56% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (20% 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 resultsLWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 187 | 46% | 1.00 | 15.7 |
| Ancient | 122 | 52% | 0.98 | 15.7 |
| Inferno | 111 | 48% | 0.93 | 14.6 |
| Anubis | 109 | 54% | 0.95 | 14.7 |
| Dust2 | 50 | 50% | 1.02 | 15.9 |
| Nuke | 47 | 70% | 1.07 | 16.0 |
| Vertigo | 31 | 55% | 0.96 | 14.3 |
| Train | 10 | 50% | 0.93 | 16.2 |
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 27.2996% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | 0.12 | 40% | 24 Aug → | ||
| 8–13 | -0.02 | 17% | 17 Aug → | ||
| 13–7 | -0.01 | 27% | 12 Aug → | ||
| 5–13 | -0.04 | 32% | 12 Aug → | ||
| 6–13 | -0.05 | 30% | 10 Aug → | ||
| 13–6 | 0.04 | 30% | 10 Aug → | ||
| 0–4 | -0.08 | 0% | 10 Aug → | ||
| 9–13 | -0.03 | 23% | 10 Aug → | ||
| 15–15 | -0.06 | 23% | 7 Aug → | ||
| 5–13 | -0.09 | 25% | 4 Aug → | ||
| 13–11 | -0.06 | 20% | 4 Aug → | ||
| 13–7 | 0.11 | 35% | 1 Aug → | ||
| 13–10 | -0.01 | 45% | 1 Aug → | ||
| 13–7 | -0.02 | 21% | 1 Aug → | ||
| 8–13 | -0.08 | 21% | 1 Aug → | ||
| 8–13 | -0.01 | 26% | 21 Jul → | ||
| 13–6 | 0.06 | 30% | 21 Jul → | ||
| 13–11 | -0.01 | 38% | 19 Jul → | ||
| 13–8 | -0.05 | 39% | 19 Jul → | ||
| 13–11 | 0.04 | 27% | 13 Jul → | ||
| 11–13 | -0.02 | 20% | 13 Jul → | ||
| 16–13 | -0.01 | 26% | 9 Jul → | ||
| 13–2 | 0.11 | 38% | 9 Jul → | ||
| 7–13 | -0.02 | 37% | 7 Jul → | ||
| 7–13 | -0.00 | 48% | 7 Jul → | ||
| 10–13 | -0.03 | 22% | 3 Jul → | ||
| 13–2 | 0.05 | 36% | 28 Jun → | ||
| 7–13 | -0.13 | 25% | 24 Jun → | ||
| 13–16 | -0.06 | 45% | 24 Jun → | ||
| 11–13 | -0.04 | 29% | 24 Jun → | ||
| 13–2 | 0.08 | 40% | 23 Jun → | ||
| 13–9 | 0.02 | 33% | 23 Jun → | ||
| 15–15 | -0.03 | 29% | 18 Jun → | ||
| 11–13 | -0.04 | 14% | 12 Jun → | ||
| 13–10 | 0.04 | 35% | 12 Jun → | ||
| 2–13 | -0.07 | 32% | 10 Jun → | ||
| 14–16 | -0.02 | 31% | 10 Jun → | ||
| 2–1 | -0.03 | 100% | 10 Jun → | ||
| 9–13 | -0.02 | 27% | 9 Jun → | ||
| 13–8 | 0.03 | 21% | 29 May → | ||
| 13–3 | 0.08 | 28% | 28 May → | ||
| 4–13 | -0.02 | 34% | 28 May → | ||
| 5–13 | -0.05 | 20% | 24 May → | ||
| 7–13 | -0.00 | 29% | 24 May → | ||
| 10–13 | -0.04 | 33% | 24 May → | ||
| 11–13 | -0.03 | 25% | 22 May → | ||
| 13–10 | 0.02 | 22% | 22 May → | ||
| 12–12 | 0.02 | 22% | 22 May → | ||
| 19–17 | -0.01 | 31% | 13 May → | ||
| 13–8 | -0.02 | 32% | 13 May → | ||
| 13–10 | -0.03 | 31% | 11 May → | ||
| 0–2 | -0.03 | 100% | 8 May → | ||
| 6–13 | 0.01 | 30% | 8 May → | ||
| 13–5 | 0.05 | 31% | 8 May → | ||
| 4–13 | -0.02 | 33% | 8 May → | ||
| 16–13 | -0.03 | 33% | 5 May → | ||
| 5–13 | -0.01 | 21% | 5 May → | ||
| 13–4 | -0.00 | 20% | 1 May → | ||
| 13–6 | 0.04 | 25% | 1 May → | ||
| 13–11 | -0.00 | 19% | 30 Apr → | ||
| 7–13 | 0.03 | 26% | 30 Apr → | ||
| 4–13 | 0.01 | 24% | 30 Apr → | ||
| 9–13 | -0.04 | 39% | 30 Apr → | ||
| 3–2 | 0.08 | 45% | 30 Apr → | ||
| 13–9 | -0.02 | 32% | 29 Apr → | ||
| 12–12 | -0.03 | 32% | 29 Apr → | ||
| 13–5 | 0.02 | 35% | 29 Apr → | ||
| 13–6 | 0.00 | 36% | 29 Apr → | ||
| 14–16 | -0.06 | 23% | 29 Apr → | ||
| 13–11 | -0.00 | 33% | 28 Apr → | ||
| 12–12 | -0.04 | 24% | 28 Apr → | ||
| 9–13 | -0.03 | 16% | 28 Apr → | ||
| 13–10 | -0.01 | 26% | 28 Apr → | ||
| 14–16 | -0.09 | 27% | 28 Apr → | ||
| 13–11 | 0.01 | 16% | 23 Apr → | ||
| 13–7 | -0.00 | 39% | 23 Apr → | ||
| 13–7 | 0.05 | 18% | 23 Apr → | ||
| 16–13 | -0.06 | 18% | 23 Apr → | ||
| 4–13 | -0.05 | 22% | 22 Apr → | ||
| 11–13 | 0.03 | 22% | 22 Apr → | ||
| 16–12 | -0.00 | 22% | 15 Apr → | ||
| 1–8 | -0.08 | 0% | 13 Apr → | ||
| 13–11 | -0.01 | 29% | 13 Apr → | ||
| 10–13 | -0.04 | 29% | 13 Apr → | ||
| 13–9 | 0.05 | 24% | 12 Apr → | ||
| 5–13 | -0.05 | 33% | 9 Apr → | ||
| 10–13 | -0.07 | 41% | 8 Apr → | ||
| 13–8 | -0.01 | 38% | 8 Apr → | ||
| 13–6 | 0.00 | 39% | 8 Apr → | ||
| 11–13 | -0.06 | 31% | 8 Apr → | ||
| 13–3 | 0.05 | 33% | 8 Apr → | ||
| 13–9 | 0.09 | 25% | 1 Apr → | ||
| 13–10 | 0.03 | 38% | 1 Apr → | ||
| 8–13 | -0.06 | 12% | 1 Apr → | ||
| 8–13 | -0.04 | 25% | 31 Mar → | ||
| 13–8 | 0.05 | 35% | 29 Mar → | ||
| 13–11 | -0.02 | 28% | 29 Mar → | ||
| 13–8 | -0.00 | 29% | 28 Mar → | ||
| 13–11 | -0.00 | 27% | 24 Mar → | ||
| 13–10 | 0.04 | 19% | 24 Mar → |
Match data via Leetify.
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