sgN — CS2 Stats
NE76561197998247599[U:1:37981871]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Effective flashesHigh utility contribution
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 ZywOo 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; higher 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
Flashes. 0.86 enemies blinded per flash — utility that consistently lands.
Utility. Utility score of 92 — grenade impact well above the norm.
Areas to improve
Reaction time. 603ms 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 7.7/10 (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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.01 | |
| A | 19 | 12–7 | 63% | 0.05 | |
| B | 12 | 6–6 | 50% | 0.02 | |
| A | 11 | 7–4 | 64% | 0.05 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| B | 10 | 5–5 | 50% | 0.02 | |
| S | 5 | 4–1 | 80% | 0.05 | |
| S | 5 | 4–1 | 80% | 0.06 | |
| — | 3 | 1–2 | 33% | -0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 108 | 48% | 1.40 | 18.6 |
| Nuke | 77 | 56% | 1.37 | 18.6 |
| Anubis | 57 | 61% | 1.57 | 19.9 |
| Mirage | 53 | 45% | 1.16 | 16.7 |
| Dust2 | 52 | 44% | 1.32 | 18.4 |
| Vertigo | 52 | 56% | 1.44 | 18.7 |
| Inferno | 38 | 50% | 1.40 | 19.5 |
| Overpass | 12 | 42% | 1.10 | 14.1 |
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
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 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.10 | 21% | 28 Sept → | ||
| 13–7 | 0.13 | 18% | 23 Aug → | ||
| 10–13 | 0.02 | 22% | 22 Aug → | ||
| 6–13 | 0.02 | 10% | 22 Aug → | ||
| 13–16 | 0.02 | 16% | 12 Aug → | ||
| 13–10 | 0.02 | 12% | 11 Aug → | ||
| 13–7 | 0.13 | 23% | 11 Jul → | ||
| 7–13 | -0.03 | 14% | 24 Jun → | ||
| 13–8 | 0.07 | 20% | 9 Jun → | ||
| 13–10 | 0.05 | 25% | 30 May → | ||
| 13–7 | 0.08 | 22% | 30 May → | ||
| 4–13 | 0.01 | 19% | 27 May → | ||
| 14–16 | 0.00 | 14% | 16 May → | ||
| 19–17 | -0.01 | 20% | 16 May → | ||
| 4–13 | -0.03 | 10% | 6 May → | ||
| 13–9 | 0.07 | 19% | 5 May → | ||
| 13–7 | 0.11 | 13% | 27 Apr → | ||
| 13–16 | 0.06 | 23% | 27 Apr → | ||
| 13–10 | 0.10 | 17% | 2 Mar → | ||
| 9–13 | 0.10 | 17% | 2 Mar → | ||
| 9–13 | 0.00 | 15% | 23 Feb → | ||
| 2–13 | 0.04 | 15% | 21 Feb → | ||
| 15–15 | 0.05 | 34% | 21 Feb → | ||
| 9–13 | 0.04 | 22% | 18 Feb → | ||
| 9–13 | 0.03 | 38% | 18 Feb → | ||
| 4–13 | -0.04 | 29% | 18 Feb → | ||
| 8–13 | -0.01 | 28% | 17 Feb → | ||
| 13–7 | 0.11 | 18% | 17 Feb → | ||
| 13–10 | 0.06 | 21% | 17 Feb → | ||
| 13–3 | 0.03 | 15% | 16 Feb → | ||
| 8–2 | 0.01 | 33% | 16 Feb → | ||
| 13–4 | 0.02 | 16% | 16 Feb → | ||
| 13–5 | 0.02 | 14% | 16 Feb → | ||
| 9–13 | 0.03 | 25% | 16 Feb → | ||
| 13–11 | -0.01 | 23% | 13 Feb → | ||
| 13–6 | -0.03 | 24% | 13 Feb → | ||
| 3–13 | -0.04 | 19% | 13 Feb → | ||
| 13–9 | 0.01 | 16% | 12 Feb → | ||
| 13–9 | 0.10 | 15% | 12 Feb → | ||
| 13–8 | 0.08 | 28% | 11 Feb → | ||
| 8–13 | 0.04 | 34% | 11 Feb → | ||
| 13–7 | 0.02 | 17% | 11 Feb → | ||
| 13–11 | 0.06 | 25% | 2 Dec → | ||
| 13–9 | 0.11 | 17% | 3 Nov → | ||
| 13–8 | 0.03 | 14% | 3 Nov → | ||
| 13–6 | 0.10 | 9% | 3 Nov → | ||
| 7–13 | 0.04 | 20% | 30 Oct → | ||
| 13–10 | 0.00 | 15% | 29 Oct → | ||
| 10–13 | 0.07 | 29% | 29 Oct → | ||
| 13–3 | 0.10 | 24% | 29 Oct → | ||
| 7–0 | 0.11 | 13% | 29 Oct → | ||
| 6–13 | -0.05 | 18% | 29 Oct → | ||
| 7–13 | 0.00 | 11% | 29 Oct → | ||
| 3–13 | -0.00 | 12% | 20 Jul → | ||
| 9–13 | -0.19 | 12% | 20 Jul → | ||
| 13–10 | -0.08 | 14% | 1 Jun → | ||
| 7–13 | -0.00 | 15% | 10 Mar → | ||
| 10–13 | 0.04 | 21% | 10 Mar → | ||
| 13–2 | 0.12 | 23% | 10 Mar → | ||
| 13–10 | 0.05 | 27% | 10 Mar → | ||
| 13–10 | 0.08 | 20% | 10 Mar → | ||
| 7–13 | 0.00 | 26% | 7 Mar → | ||
| 10–13 | 0.10 | 14% | 7 Mar → | ||
| 11–13 | 0.03 | 26% | 7 Mar → | ||
| 13–4 | 0.03 | 16% | 4 Mar → | ||
| 10–13 | 0.02 | 21% | 4 Mar → | ||
| 13–9 | 0.04 | 19% | 25 Feb → | ||
| 13–8 | 0.05 | 27% | 23 Feb → | ||
| 13–6 | 0.08 | 24% | 23 Feb → | ||
| 11–0 | 0.12 | 10% | 23 Feb → | ||
| 11–13 | 0.00 | 27% | 20 Feb → | ||
| 13–6 | 0.03 | 21% | 13 Feb → | ||
| 11–13 | -0.03 | 8% | 12 Feb → | ||
| 13–11 | 0.01 | 18% | 12 Feb → | ||
| 10–13 | 0.03 | 14% | 10 Feb → | ||
| 10–13 | -0.02 | 19% | 10 Feb → | ||
| 13–8 | 0.12 | 22% | 10 Feb → | ||
| 13–8 | 0.04 | 27% | 10 Feb → | ||
| 6–13 | 0.09 | 22% | 9 Feb → | ||
| 13–9 | -0.06 | 19% | 7 Feb → | ||
| 13–6 | 0.09 | 23% | 6 Feb → | ||
| 13–6 | 0.04 | 16% | 6 Feb → | ||
| 8–13 | -0.06 | 12% | 5 Feb → | ||
| 16–13 | 0.02 | 19% | 5 Feb → | ||
| 10–13 | -0.05 | 31% | 5 Feb → | ||
| 12–16 | -0.01 | 14% | 5 Feb → | ||
| 13–9 | 0.03 | 18% | 4 Feb → | ||
| 6–13 | -0.05 | 21% | 4 Feb → | ||
| 13–9 | 0.01 | 24% | 4 Feb → | ||
| 4–13 | 0.01 | 13% | 4 Feb → | ||
| 13–8 | 0.08 | 20% | 1 Feb → | ||
| 13–4 | 0.02 | 31% | 1 Feb → | ||
| 16–13 | 0.05 | 14% | 1 Feb → | ||
| 5–13 | -0.04 | 12% | 1 Feb → | ||
| 5–13 | 0.01 | 14% | 1 Feb → | ||
| 6–13 | 0.01 | 18% | 31 Jan → | ||
| 16–14 | 0.03 | 11% | 31 Jan → | ||
| 13–3 | 0.10 | 23% | 31 Jan → | ||
| 2–13 | -0.07 | 21% | 31 Jan → | ||
| 13–2 | 0.01 | 13% | 31 Jan → |
Match data via Leetify.