niko — CS2 Stats
AR76561198402344265[U:1:442078537]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 sh1ro 96% playstyle similarity
Most alike: opening-fight frequency, 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 92 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 | 33 | 16–17 | 48% | 0.05 | |
| B | 26 | 14–12 | 54% | 0.03 | |
| A | 14 | 8–6 | 57% | 0.06 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.06 | |
| — | 2 | 1–1 | 50% | 0.07 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 1190 | 55% | 1.35 | 18.4 |
| Dust2 | 447 | 53% | 1.29 | 18.2 |
| Anubis | 327 | 56% | 1.41 | 18.6 |
| Nuke | 201 | 55% | 1.31 | 18.5 |
| Ancient | 179 | 61% | 1.30 | 18.9 |
| Inferno | 56 | 61% | 1.65 | 19.2 |
| Overpass | 17 | 47% | 1.23 | 17.6 |
| Vertigo | 16 | 44% | 1.23 | 18.4 |
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.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.06 | 24% | 26 Aug → | ||
| 13–8 | 0.17 | 29% | 26 Aug → | ||
| 3–13 | 0.01 | 16% | 25 Aug → | ||
| 13–10 | 0.05 | 23% | 25 Aug → | ||
| 1–13 | -0.07 | 20% | 25 Aug → | ||
| 10–3 | -0.01 | 16% | 25 Aug → | ||
| 0–13 | -0.01 | 0% | 24 Aug → | ||
| 13–11 | 0.07 | 22% | 24 Aug → | ||
| 4–13 | -0.00 | 18% | 18 Aug → | ||
| 15–15 | 0.01 | 40% | 17 Aug → | ||
| 13–11 | 0.00 | 32% | 16 Aug → | ||
| 13–5 | 0.05 | 24% | 16 Aug → | ||
| 13–11 | 0.06 | 26% | 3 Aug → | ||
| 8–13 | -0.04 | 17% | 28 Jul → | ||
| 10–13 | 0.00 | 33% | 15 Jul → | ||
| 13–10 | 0.10 | 30% | 12 Jul → | ||
| 9–13 | 0.01 | 13% | 11 Jul → | ||
| 13–11 | 0.01 | 26% | 9 Jul → | ||
| 13–1 | 0.10 | 29% | 27 Jun → | ||
| 16–14 | 0.11 | 16% | 16 Jun → | ||
| 13–6 | -0.01 | 15% | 16 Jun → | ||
| 15–15 | 0.07 | 24% | 16 Jun → | ||
| 13–7 | 0.08 | 23% | 11 Jun → | ||
| 13–10 | 0.02 | 24% | 8 Jun → | ||
| 11–13 | 0.06 | 28% | 8 Jun → | ||
| 13–9 | 0.05 | 16% | 7 Jun → | ||
| 11–13 | 0.02 | 28% | 31 May → | ||
| 7–13 | 0.01 | 13% | 26 May → | ||
| 13–16 | 0.06 | 16% | 26 May → | ||
| 3–5 | -0.02 | 27% | 24 May → | ||
| 13–5 | 0.16 | 35% | 24 May → | ||
| 1–13 | -0.01 | 27% | 24 May → | ||
| 13–9 | 0.10 | 18% | 24 May → | ||
| 0–13 | -0.03 | 50% | 15 May → | ||
| 16–12 | 0.07 | 40% | 15 May → | ||
| 6–13 | -0.03 | 20% | 10 May → | ||
| 11–13 | 0.00 | 15% | 9 May → | ||
| 14–16 | 0.03 | 17% | 8 May → | ||
| 9–13 | -0.03 | 16% | 6 May → | ||
| 13–8 | 0.03 | 30% | 6 May → | ||
| 7–13 | 0.01 | 33% | 6 May → | ||
| 16–12 | 0.04 | 37% | 1 May → | ||
| 13–3 | 0.02 | 30% | 1 May → | ||
| 13–0 | 0.05 | 33% | 25 Apr → | ||
| 4–13 | 0.06 | 38% | 20 Apr → | ||
| 1–13 | -0.04 | 36% | 19 Apr → | ||
| 13–4 | 0.03 | 33% | 19 Apr → | ||
| 13–3 | 0.06 | 31% | 19 Apr → | ||
| 13–7 | 0.08 | 22% | 17 Apr → | ||
| 16–14 | 0.17 | 30% | 17 Apr → | ||
| 2–0 | 0.07 | 50% | 17 Apr → | ||
| 11–13 | 0.08 | 21% | 16 Apr → | ||
| 6–13 | 0.05 | 16% | 16 Apr → | ||
| 13–3 | 0.04 | 41% | 16 Apr → | ||
| 12–16 | 0.02 | 17% | 16 Apr → | ||
| 13–9 | 0.12 | 15% | 15 Apr → | ||
| 15–15 | 0.15 | 25% | 13 Apr → | ||
| 16–14 | 0.04 | 20% | 6 Apr → | ||
| 13–5 | 0.07 | 23% | 6 Apr → | ||
| 10–13 | 0.06 | 23% | 5 Apr → | ||
| 13–5 | 0.07 | 25% | 2 Apr → | ||
| 13–10 | 0.06 | 40% | 1 Apr → | ||
| 7–13 | 0.04 | 24% | 29 Mar → | ||
| 13–9 | 0.03 | 26% | 28 Mar → | ||
| 13–8 | 0.09 | 16% | 28 Mar → | ||
| 11–13 | 0.07 | 13% | 28 Mar → | ||
| 13–8 | 0.03 | 27% | 27 Mar → | ||
| 13–4 | 0.09 | 28% | 20 Mar → | ||
| 11–13 | 0.02 | 26% | 11 Mar → | ||
| 8–13 | -0.00 | 16% | 11 Mar → | ||
| 8–13 | 0.06 | 29% | 10 Mar → | ||
| 13–11 | 0.06 | 38% | 27 Feb → | ||
| 14–16 | 0.06 | 18% | 18 Feb → | ||
| 13–9 | 0.12 | 29% | 9 Feb → | ||
| 13–9 | 0.09 | 25% | 9 Feb → | ||
| 1–13 | -0.08 | 11% | 31 Jan → | ||
| 4–13 | -0.01 | 30% | 31 Jan → | ||
| 7–13 | -0.03 | 38% | 30 Jan → | ||
| 3–13 | -0.06 | 38% | 30 Jan → | ||
| 13–8 | 0.02 | 26% | 12 Jan → | ||
| 4–13 | 0.03 | 30% | 8 Jan → | ||
| 9–13 | 0.08 | 26% | 3 Jan → | ||
| 4–13 | 0.14 | 25% | 3 Jan → | ||
| 8–13 | 0.04 | 25% | 30 Dec → | ||
| 13–2 | 0.15 | 30% | 29 Dec → | ||
| 16–12 | 0.07 | 37% | 24 Dec → | ||
| 4–13 | -0.06 | 32% | 20 Dec → | ||
| 13–8 | 0.01 | 21% | 1 Dec → | ||
| 13–5 | 0.03 | 34% | 25 Nov → | ||
| 13–5 | 0.02 | 16% | 17 Nov → | ||
| 5–13 | -0.01 | 21% | 17 Nov → | ||
| 11–13 | -0.01 | 26% | 17 Nov → | ||
| 13–8 | -0.01 | 20% | 17 Nov → | ||
| 2–13 | 0.09 | 33% | 16 Nov → | ||
| 11–13 | 0.02 | 18% | 14 Nov → | ||
| 13–11 | 0.01 | 33% | 13 Nov → | ||
| 2–12 | 0.03 | 8% | 11 Nov → | ||
| 13–7 | 0.13 | 25% | 11 Nov → | ||
| 13–5 | 0.10 | 24% | 30 Oct → | ||
| 13–9 | 0.06 | 36% | 25 Oct → |
Match data via Leetify.