Nsane — CS2 Stats
76561198167760551[U:1:207494823]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong CT-side openerReliable in 1v1s
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 94% playstyle similarity
Most alike: opening-fight frequency, positioning 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 87 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 53% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 692ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 37 | 17–20 | 46% | 0.01 | |
| S | 16 | 11–5 | 69% | 0.02 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| S | 13 | 9–4 | 69% | 0.03 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.11 | |
| office | — | 1 | 0–1 | 0% | 0.02 |
| — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (46% over 37). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 43 | 51% | 1.05 | 14.2 |
| Inferno | 20 | 60% | 1.52 | 17.5 |
| Ancient | 16 | 50% | 0.93 | 12.4 |
| Vertigo | 10 | 70% | 1.06 | 14.8 |
| Overpass | 9 | 33% | 0.87 | 13.0 |
| Nuke | 5 | 20% | 0.65 | 11.0 |
| Dust2 | 5 | 60% | 1.16 | 17.0 |
| Anubis | 3 | 33% | 0.85 | 13.3 |
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 35.0025% — 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.
46% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.09 | 37% | 20 May → | ||
| 13–2 | 0.02 | 19% | 6 May → | ||
| 13–5 | 0.04 | 36% | 6 May → | ||
| 13–11 | -0.01 | 19% | 6 May → | ||
| 13–10 | 0.13 | 24% | 4 May → | ||
| 9–13 | 0.08 | 24% | 4 May → | ||
| 13–7 | 0.11 | 27% | 4 May → | ||
| 10–13 | 0.05 | 45% | 4 May → | ||
| 15–15 | 0.08 | 21% | 4 May → | ||
| 13–5 | 0.06 | 22% | 4 May → | ||
| 8–13 | -0.01 | 43% | 3 May → | ||
| 10–13 | 0.00 | 19% | 2 May → | ||
| 13–8 | -0.05 | 26% | 2 May → | ||
| 13–9 | 0.04 | 29% | 2 May → | ||
| 0–2 | -0.01 | 0% | 2 May → | ||
| 13–10 | 0.04 | 26% | 1 May → | ||
| 10–13 | 0.01 | 30% | 1 May → | ||
| office | 9–13 | 0.02 | 33% | 28 Apr → | |
| 13–9 | 0.05 | 33% | 27 Apr → | ||
| 4–13 | -0.00 | 26% | 20 Apr → | ||
| 6–13 | -0.04 | 29% | 20 Apr → | ||
| 13–1 | 0.16 | 24% | 20 Apr → | ||
| 6–13 | -0.05 | 35% | 17 Dec → | ||
| 13–9 | 0.01 | 29% | 7 Dec → | ||
| 13–6 | 0.06 | 22% | 17 Nov → | ||
| 13–9 | 0.01 | 28% | 16 Nov → | ||
| 11–13 | -0.02 | 22% | 11 Nov → | ||
| 12–12 | 0.09 | 19% | 1 Sept → | ||
| 13–7 | 0.07 | 28% | 31 Aug → | ||
| 12–12 | -0.07 | 18% | 31 Aug → | ||
| 7–13 | 0.04 | 26% | 31 Aug → | ||
| 10–13 | -0.07 | 38% | 31 Aug → | ||
| 13–5 | -0.04 | 12% | 30 Aug → | ||
| 13–7 | 0.12 | 33% | 30 Aug → | ||
| 13–6 | 0.09 | 29% | 29 Aug → | ||
| 10–13 | -0.05 | 19% | 28 Aug → | ||
| 6–13 | -0.01 | 29% | 27 Aug → | ||
| 9–13 | -0.05 | 30% | 27 Aug → | ||
| 5–13 | -0.03 | 19% | 25 Aug → | ||
| 13–6 | -0.05 | 24% | 25 Aug → | ||
| 13–6 | 0.01 | 13% | 25 Aug → | ||
| 13–6 | 0.03 | 34% | 24 Aug → | ||
| 13–8 | 0.07 | 26% | 24 Aug → | ||
| 13–5 | 0.03 | 12% | 24 Aug → | ||
| 13–3 | -0.04 | 20% | 24 Aug → | ||
| 13–6 | -0.01 | 16% | 24 Aug → | ||
| 13–5 | 0.01 | 26% | 24 Aug → | ||
| 9–13 | -0.10 | 22% | 24 Aug → | ||
| 4–13 | -0.07 | 30% | 24 Aug → | ||
| 16–12 | -0.02 | 23% | 24 Aug → | ||
| 15–15 | 0.06 | 19% | 24 Aug → | ||
| 13–9 | 0.03 | 45% | 24 Aug → | ||
| 10–13 | 0.02 | 35% | 23 Aug → | ||
| 13–11 | 0.04 | 26% | 23 Aug → | ||
| 13–7 | 0.06 | 33% | 23 Aug → | ||
| 13–9 | -0.00 | 27% | 23 Aug → | ||
| 13–7 | 0.03 | 15% | 23 Aug → | ||
| 8–13 | -0.04 | 34% | 23 Aug → | ||
| 13–6 | -0.00 | 21% | 22 Aug → | ||
| 13–11 | -0.04 | 21% | 22 Aug → | ||
| 5–13 | 0.01 | 42% | 21 Aug → | ||
| 13–10 | 0.02 | 21% | 21 Aug → | ||
| 13–10 | -0.01 | 14% | 21 Aug → | ||
| 13–8 | 0.02 | 34% | 20 Aug → | ||
| 13–7 | -0.01 | 21% | 20 Aug → | ||
| 13–10 | -0.03 | 16% | 20 Aug → | ||
| 5–13 | -0.12 | 27% | 19 Aug → | ||
| 13–11 | -0.00 | 34% | 19 Aug → | ||
| 13–6 | -0.00 | 24% | 18 Aug → | ||
| 5–13 | -0.01 | 19% | 17 Aug → | ||
| 13–11 | 0.04 | 36% | 17 Aug → | ||
| 13–11 | -0.01 | 30% | 17 Aug → | ||
| 12–16 | 0.00 | 37% | 17 Aug → | ||
| 13–3 | 0.06 | 46% | 17 Aug → | ||
| 10–13 | -0.01 | 27% | 17 Aug → | ||
| 13–8 | 0.03 | 29% | 17 Aug → | ||
| 13–11 | -0.00 | 46% | 17 Aug → | ||
| 5–13 | -0.01 | 28% | 17 Aug → | ||
| 9–13 | -0.03 | 29% | 17 Aug → | ||
| 9–13 | 0.02 | 40% | 17 Aug → | ||
| 16–13 | 0.01 | 29% | 17 Aug → | ||
| 13–10 | 0.01 | 43% | 17 Aug → | ||
| 13–5 | 0.05 | 38% | 17 Aug → | ||
| 11–13 | -0.04 | 30% | 17 Aug → | ||
| 13–10 | 0.09 | 33% | 16 Aug → | ||
| 13–4 | 0.02 | 29% | 16 Aug → | ||
| 11–13 | -0.05 | 32% | 16 Aug → | ||
| 5–13 | -0.07 | 14% | 15 Aug → | ||
| 14–16 | 0.03 | 25% | 10 Aug → | ||
| 8–0 | 0.07 | 33% | 10 Aug → | ||
| 2–13 | 0.04 | 42% | 10 Aug → | ||
| 15–15 | 0.05 | 38% | 10 Aug → | ||
| 13–9 | 0.05 | 11% | 6 Aug → | ||
| 8–13 | 0.03 | 25% | 6 Aug → | ||
| 10–11 | -0.00 | 21% | 6 Aug → | ||
| 13–11 | -0.01 | 29% | 30 Jul → | ||
| 9–13 | 0.04 | 24% | 30 Jul → | ||
| 13–11 | -0.03 | 27% | 28 Jul → | ||
| 13–9 | -0.03 | 15% | 28 Jul → | ||
| 13–3 | 0.12 | 14% | 26 Jul → |
Match data via Leetify.