✿NeoXEvil✿ — CS2 Stats
76561198364620702[U:1:404354974]Steam profile ↗
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 46.1% | 47.0% | 48.5% | 2.4% short |
| Shot accuracy | 13.6% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.02 | 1.07 | 1.07 | 0.05 short |
| Match win rate | 39.1% | 46.4% | 47.0% | 7.9% short |
This profile matches the typical Level 9 player on 1 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashesLimited utility dependence
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 79% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 616ms 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 (×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 |
|---|---|---|---|---|---|
 mirage | B | 26 | 13–13 | 50% | 0.00 |
 dust2 | S | 25 | 17–8 | 68% | -0.01 |
 inferno | S | 17 | 13–4 | 76% | -0.00 |
 cache | A | 13 | 8–5 | 62% | -0.00 |
 anubis | S | 5 | 4–1 | 80% | -0.03 |
| office | — | 4 | 1–3 | 25% | -0.01 |
 overpass | — | 3 | 2–1 | 67% | -0.04 |
 ancient | — | 2 | 2–0 | 100% | 0.01 |
| fachwerk | — | 1 | 1–0 | 100% | 0.05 |
 train | — | 1 | 1–0 | 100% | 0.12 |
 nuke | — | 1 | 0–1 | 0% | 0.05 |
 vertigo | — | 1 | 0–1 | 0% | -0.02 |
| jura | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (50% over 26). 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 27 | 67% | 0.88 | 13.2 |
| Dust2 | 19 | 53% | 0.92 | 13.0 |
| Anubis | 9 | 44% | 0.84 | 15.3 |
| Cache | 6 | 50% | 0.89 | 16.2 |
| Inferno | 5 | 80% | 1.20 | 18.6 |
| Nuke | 5 | 100% | 1.38 | 17.0 |
| Vertigo | 3 | 67% | 0.84 | 12.3 |
| Ancient | 2 | 50% | 0.88 | 14.5 |
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 33.8937% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 11–13 | -0.03 | 26% | 17 Aug → | |
| dust2 | 0–13 | -0.10 | 0% | 10 Aug → | |
| inferno | 6–13 | -0.06 | 15% | 7 Aug → | |
| dust2 | 10–13 | -0.07 | 23% | 5 Aug → | |
| ancient | 13–0 | -0.03 | 20% | 4 Aug → | |
| dust2 | 13–7 | -0.10 | 5% | 4 Aug → | |
| dust2 | 13–0 | -0.02 | 33% | 4 Aug → | |
| mirage | 13–0 | 0.01 | 15% | 4 Aug → | |
| dust2 | 13–6 | 0.01 | 24% | 4 Aug → | |
| inferno | 13–10 | -0.07 | 16% | 4 Aug → | |
| inferno | 16–13 | -0.06 | 24% | 3 Aug → | |
| cache | 11–13 | -0.01 | 24% | 3 Aug → | |
| cache | 13–2 | -0.02 | 26% | 2 Aug → | |
| inferno | 13–7 | -0.06 | 29% | 31 Jul → | |
| dust2 | 5–13 | -0.08 | 11% | 31 Jul → | |
| anubis | 13–9 | -0.04 | 25% | 31 Jul → | |
| mirage | 5–13 | 0.05 | 31% | 31 Jul → | |
| dust2 | 15–15 | -0.04 | 30% | 31 Jul → | |
| mirage | 13–7 | 0.05 | 29% | 29 Jul → | |
| anubis | 13–6 | -0.06 | 14% | 29 Jul → | |
| mirage | 13–11 | 0.04 | 30% | 29 Jul → | |
| mirage | 7–13 | -0.07 | 12% | 28 Jul → | |
| mirage | 4–13 | -0.05 | 25% | 28 Jul → | |
| dust2 | 13–7 | -0.03 | 31% | 27 Jul → | |
| cache | 2–0 | 0.00 | 0% | 27 Jul → | |
| inferno | 16–13 | 0.00 | 24% | 27 Jul → | |
| dust2 | 13–9 | 0.05 | 14% | 27 Jul → | |
| dust2 | 8–13 | -0.07 | 23% | 23 Jul → | |
| office | 2–13 | -0.09 | 32% | 23 Jul → | |
| mirage | 5–13 | -0.04 | 12% | 23 Jul → | |
| mirage | 13–10 | 0.07 | 23% | 23 Jul → | |
| dust2 | 13–1 | 0.11 | 28% | 23 Jul → | |
| dust2 | 5–13 | -0.01 | 28% | 23 Jul → | |
| cache | 13–6 | 0.02 | 17% | 22 Jul → | |
| cache | 13–11 | -0.00 | 15% | 22 Jul → | |
| mirage | 10–13 | -0.01 | 28% | 22 Jul → | |
| fachwerk | 13–10 | 0.05 | 32% | 22 Jul → | |
| inferno | 13–10 | 0.03 | 33% | 21 Jul → | |
| dust2 | 13–8 | 0.05 | 26% | 21 Jul → | |
| inferno | 13–5 | -0.07 | 15% | 20 Jul → | |
| cache | 15–15 | 0.00 | 25% | 20 Jul → | |
| cache | 13–7 | -0.00 | 23% | 20 Jul → | |
| inferno | 11–3 | 0.01 | 37% | 20 Jul → | |
| mirage | 7–0 | 0.03 | 17% | 20 Jul → | |
| dust2 | 13–11 | -0.01 | 32% | 20 Jul → | |
| mirage | 15–15 | -0.04 | 16% | 20 Jul → | |
| dust2 | 13–5 | -0.02 | 21% | 20 Jul → | |
| inferno | 10–1 | 0.03 | 33% | 20 Jul → | |
| dust2 | 5–13 | -0.02 | 11% | 20 Jul → | |
| cache | 9–13 | 0.01 | 25% | 20 Jul → | |
| dust2 | 13–11 | -0.01 | 33% | 17 Jul → | |
| dust2 | 13–5 | 0.03 | 12% | 14 May → | |
| cache | 8–13 | -0.01 | 32% | 7 May → | |
| cache | 1–4 | -0.06 | 40% | 7 May → | |
| inferno | 13–8 | 0.04 | 13% | 7 May → | |
| cache | 13–4 | 0.00 | 25% | 4 May → | |
| cache | 13–8 | 0.02 | 27% | 4 May → | |
| cache | 13–3 | 0.02 | 39% | 4 May → | |
| ancient | 13–7 | 0.06 | 33% | 4 May → | |
| dust2 | 13–10 | -0.04 | 16% | 20 Apr → | |
| dust2 | 13–3 | 0.01 | 19% | 16 Apr → | |
| mirage | 11–13 | -0.02 | 15% | 16 Apr → | |
| overpass | 1–13 | -0.07 | 23% | 15 Apr → | |
| mirage | 13–5 | -0.03 | 12% | 15 Apr → | |
| dust2 | 13–8 | -0.06 | 24% | 10 Apr → | |
| overpass | 13–3 | -0.05 | 7% | 10 Apr → | |
| dust2 | 13–9 | 0.06 | 29% | 26 Mar → | |
| mirage | 2–11 | -0.09 | 20% | 26 Mar → | |
| mirage | 13–3 | 0.01 | 29% | 24 Mar → | |
| mirage | 3–5 | 0.00 | 0% | 24 Mar → | |
| office | 9–13 | 0.03 | 22% | 16 Feb → | |
| inferno | 9–13 | -0.02 | 9% | 13 Feb → | |
| mirage | 13–4 | -0.00 | 26% | 13 Feb → | |
| office | 4–13 | -0.03 | 30% | 13 Jan → | |
| train | 13–5 | 0.12 | 21% | 3 Jan → | |
| anubis | 5–13 | -0.06 | 12% | 30 Dec → | |
| dust2 | 13–4 | 0.05 | 25% | 28 Dec → | |
| overpass | 7–1 | -0.00 | 29% | 26 Dec → | |
| anubis | 13–6 | 0.05 | 17% | 25 Dec → | |
| mirage | 12–12 | -0.01 | 26% | 22 Dec → | |
| office | 13–11 | 0.06 | 13% | 21 Dec → | |
| mirage | 13–10 | 0.02 | 26% | 19 Dec → | |
| inferno | 12–12 | 0.03 | 14% | 19 Dec → | |
| inferno | 13–6 | 0.14 | 27% | 18 Dec → | |
| inferno | 11–13 | -0.03 | 31% | 17 Dec → | |
| mirage | 13–6 | 0.05 | 25% | 16 Dec → | |
| mirage | 13–6 | -0.03 | 13% | 16 Nov → | |
| inferno | 9–6 | -0.03 | 15% | 30 Oct → | |
| mirage | 13–9 | 0.04 | 20% | 29 Oct → | |
| nuke | 8–8 | 0.05 | 17% | 29 Oct → | |
| inferno | 13–5 | 0.02 | 22% | 4 Jul → | |
| dust2 | 13–10 | 0.01 | 38% | 3 Jul → | |
| anubis | 13–9 | -0.05 | 14% | 29 Jun → | |
| mirage | 13–11 | -0.02 | 17% | 19 Jun → | |
| mirage | 10–13 | 0.04 | 18% | 19 Jun → | |
| vertigo | 7–10 | -0.02 | 16% | 9 Jun → | |
| jura | 6–13 | -0.07 | 11% | 8 Jun → | |
| inferno | 13–7 | 0.05 | 30% | 1 Jun → | |
| mirage | 3–13 | -0.01 | 32% | 1 Jun → | |
| mirage | 5–13 | 0.07 | 37% | 30 May → |
Match data via Leetify.