Nip9xx — CS2 Stats
76561198906455283[U:1:946189555]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 51.8% | 49.0% | 52.0% | meets |
| Shot accuracy | 12.9% | 13.1% | 13.7% | 0.8% short |
| Kill/death ratio | 1.19 | 1.08 | 1.08 | above |
| Match win rate | 47.5% | 46.9% | 48.8% | 1.2% short |
This profile matches the typical Level 10 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.05 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 90% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
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
Reaction time. 614ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 41 | 22–19 | 54% | 0.01 | |
| C | 19 | 8–11 | 42% | 0.02 | |
| C | 14 | 6–8 | 43% | 0.01 | |
| A | 11 | 7–4 | 64% | -0.00 | |
| C | 5 | 2–3 | 40% | 0.02 | |
| — | 3 | 0–3 | 0% | 0.05 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.00 | |
| — | 1 | 0–1 | 0% | -0.03 | |
| office | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Anubis 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 96 | 55% | 1.23 | 16.2 |
| Ancient | 62 | 55% | 1.14 | 16.0 |
| Nuke | 42 | 52% | 1.11 | 17.0 |
| Inferno | 38 | 55% | 1.16 | 16.4 |
| Train | 13 | 62% | 0.94 | 12.6 |
| Anubis | 7 | 57% | 1.02 | 17.4 |
| Dust2 | 5 | 60% | 1.34 | 16.6 |
| Vertigo | 4 | 75% | 1.36 | 14.8 |
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 26.7115% — 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.
40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.02 | 28% | 28 Aug → | ||
| 22–20 | -0.03 | 13% | 16 Aug → | ||
| 9–13 | -0.03 | 20% | 27 Jul → | ||
| 0–13 | -0.06 | 11% | 25 Jul → | ||
| 8–13 | 0.01 | 15% | 21 Jul → | ||
| 13–16 | -0.03 | 17% | 21 Jul → | ||
| 9–13 | -0.02 | 8% | 8 Jul → | ||
| 13–5 | -0.02 | 21% | 8 Jul → | ||
| 13–8 | -0.02 | 18% | 7 Jul → | ||
| 13–10 | -0.02 | 38% | 7 Jul → | ||
| 13–7 | 0.05 | 19% | 7 Jul → | ||
| 1–13 | -0.06 | 15% | 5 Jul → | ||
| 11–13 | -0.04 | 21% | 4 Jul → | ||
| 13–5 | 0.10 | 12% | 4 Jul → | ||
| 20–22 | 0.04 | 15% | 4 Jul → | ||
| 13–8 | 0.06 | 22% | 30 Jun → | ||
| 13–3 | -0.06 | 9% | 15 Jun → | ||
| 10–13 | 0.01 | 18% | 18 May → | ||
| 13–6 | 0.06 | 12% | 19 Apr → | ||
| 7–13 | 0.08 | 18% | 7 Mar → | ||
| 5–13 | -0.02 | 17% | 7 Mar → | ||
| 13–4 | 0.05 | 12% | 7 Mar → | ||
| 13–4 | 0.00 | 42% | 7 Mar → | ||
| 13–11 | 0.03 | 24% | 13 Feb → | ||
| 6–13 | 0.01 | 31% | 19 Jan → | ||
| 7–13 | 0.04 | 22% | 19 Jan → | ||
| 3–13 | -0.05 | 18% | 16 Jan → | ||
| 7–13 | 0.04 | 17% | 19 Dec → | ||
| 11–13 | 0.06 | 18% | 18 Dec → | ||
| 1–4 | -0.04 | 0% | 18 Dec → | ||
| 13–6 | 0.03 | 14% | 18 Dec → | ||
| 11–13 | -0.06 | 12% | 16 Dec → | ||
| 4–13 | -0.05 | 17% | 10 Dec → | ||
| 13–4 | 0.03 | 24% | 8 Dec → | ||
| 13–9 | 0.05 | 10% | 8 Dec → | ||
| office | 12–12 | -0.01 | 24% | 26 Nov → | |
| 6–13 | 0.03 | 39% | 26 Nov → | ||
| 16–13 | 0.02 | 15% | 25 Nov → | ||
| 9–13 | 0.02 | 25% | 25 Nov → | ||
| 13–9 | -0.00 | 25% | 25 Nov → | ||
| 4–13 | -0.04 | 17% | 25 Nov → | ||
| 10–13 | -0.03 | 17% | 25 Nov → | ||
| 13–9 | 0.05 | 13% | 9 Nov → | ||
| 9–13 | -0.04 | 14% | 7 Nov → | ||
| 8–13 | 0.04 | 14% | 3 Nov → | ||
| 7–13 | -0.05 | 15% | 30 Oct → | ||
| 13–10 | 0.09 | 25% | 30 Oct → | ||
| 13–5 | 0.14 | 31% | 30 Oct → | ||
| 13–2 | 0.01 | 14% | 29 Oct → | ||
| 11–13 | 0.00 | 11% | 26 Oct → | ||
| 14–16 | -0.05 | 14% | 26 Oct → | ||
| 9–12 | -0.01 | 19% | 23 Oct → | ||
| 15–15 | 0.00 | 18% | 17 Oct → | ||
| 9–13 | 0.07 | 14% | 15 Oct → | ||
| 5–13 | 0.03 | 18% | 15 Oct → | ||
| 13–9 | 0.02 | 13% | 14 Oct → | ||
| 15–15 | -0.02 | 10% | 14 Oct → | ||
| 16–13 | 0.08 | 19% | 14 Oct → | ||
| 15–15 | 0.03 | 14% | 14 Oct → | ||
| 7–13 | 0.04 | 9% | 14 Oct → | ||
| 6–13 | -0.03 | 32% | 10 Oct → | ||
| 3–13 | -0.03 | 38% | 10 Oct → | ||
| 16–13 | 0.00 | 18% | 11 Sept → | ||
| 13–7 | 0.10 | 19% | 11 Sept → | ||
| 13–8 | 0.02 | 24% | 11 Sept → | ||
| 11–13 | 0.02 | 18% | 11 Sept → | ||
| 16–13 | 0.04 | 16% | 5 Jul → | ||
| 13–3 | -0.01 | 30% | 5 Jul → | ||
| 16–13 | 0.06 | 22% | 5 Jul → | ||
| 16–14 | -0.01 | 17% | 19 Jun → | ||
| 13–8 | 0.07 | 13% | 12 Jun → | ||
| 13–4 | 0.04 | 28% | 12 Jun → | ||
| 7–13 | 0.06 | 18% | 12 Jun → | ||
| 13–8 | 0.09 | 18% | 11 Jun → | ||
| 13–8 | 0.03 | 17% | 11 Jun → | ||
| 5–13 | -0.01 | 21% | 11 Jun → | ||
| 4–13 | 0.02 | 100% | 5 Nov → | ||
| 2–13 | -0.03 | 18% | 4 Nov → | ||
| 8–13 | 0.04 | 15% | 20 Oct → | ||
| 16–12 | 0.02 | 17% | 20 Oct → | ||
| 13–10 | -0.01 | 36% | 19 Oct → | ||
| 12–12 | 0.11 | 26% | 19 Oct → | ||
| 13–11 | 0.00 | 20% | 1 Oct → | ||
| 9–13 | -0.05 | 40% | 1 Oct → | ||
| 8–13 | -0.04 | 17% | 1 Oct → | ||
| 1–4 | -0.16 | 67% | 30 Sept → | ||
| 1–13 | -0.09 | 0% | 30 Sept → | ||
| 13–0 | 0.01 | 100% | 30 Sept → | ||
| 13–10 | 0.06 | 18% | 29 Sept → | ||
| 1–13 | -0.05 | 26% | 18 Sept → | ||
| 13–4 | -0.01 | 25% | 18 Sept → | ||
| 15–15 | 0.03 | 24% | 17 Sept → | ||
| 3–13 | -0.08 | 9% | 17 Sept → | ||
| 0–4 | 0.01 | 13% | 17 Sept → | ||
| 13–7 | -0.06 | 50% | 16 Sept → | ||
| 11–13 | 0.01 | 14% | 14 Sept → | ||
| 13–6 | 0.08 | 21% | 14 Sept → | ||
| 13–6 | 0.13 | 28% | 12 Sept → | ||
| 13–9 | 0.03 | 26% | 12 Sept → | ||
| 11–13 | 0.01 | 45% | 12 Sept → |
Match data via Leetify.
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