Neeokuツ — CS2 Stats
US76561198130220092[U:1:169954364]Steam profile ↗
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 42.1% | 44.2% | 44.9% | 2.8% short |
| Shot accuracy | 12.9% | 11.2% | 11.8% | above |
| Kill/death ratio | 1.14 | 1.04 | 1.04 | above |
| Match win rate | 49.4% | 45.3% | 45.3% | above |
This profile matches the typical Level 6 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 6 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: -20pp win rate · +0.00 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 donk 87% playstyle similarity
Most alike: opening-duel success, positioning profile.
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. 603ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
 mirage | B | 32 | 16–16 | 50% | 0.03 |
 ancient | C | 16 | 7–9 | 44% | 0.02 |
 train | A | 10 | 6–4 | 60% | 0.05 |
 vertigo | A | 10 | 6–4 | 60% | 0.03 |
 nuke | C | 8 | 3–5 | 38% | 0.01 |
 anubis | S | 8 | 6–2 | 75% | -0.01 |
 overpass | C | 7 | 3–4 | 43% | 0.06 |
 cache | B | 6 | 3–3 | 50% | 0.02 |
 dust2 | — | 3 | 2–1 | 67% | 0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke 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 | 1 | 0% | 1.07 | 16.0 |
| Anubis | 1 | 0% | 0.93 | 13.0 |
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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| train | 4–13 | -0.02 | 21% | 16 Aug → | |
| ancient | 8–13 | 0.02 | 33% | 6 Jun → | |
| ancient | 13–9 | 0.09 | 24% | 5 Jun → | |
| mirage | 10–13 | -0.01 | 35% | 2 Jun → | |
| nuke | 15–15 | -0.07 | 12% | 23 May → | |
| overpass | 11–13 | 0.07 | 23% | 13 May → | |
| overpass | 13–4 | 0.06 | 9% | 7 May → | |
| cache | 9–13 | 0.02 | 19% | 7 May → | |
| cache | 13–11 | 0.08 | 17% | 4 May → | |
| mirage | 10–13 | -0.07 | 23% | 4 May → | |
| cache | 11–13 | 0.01 | 17% | 3 May → | |
| mirage | 3–13 | 0.00 | 18% | 3 May → | |
| vertigo | 12–12 | 0.02 | 35% | 2 May → | |
| mirage | 13–11 | 0.06 | 26% | 1 May → | |
| cache | 13–11 | 0.01 | 19% | 30 Apr → | |
| cache | 7–13 | 0.02 | 23% | 29 Apr → | |
| cache | 13–10 | 0.01 | 19% | 29 Apr → | |
| dust2 | 12–12 | 0.07 | 16% | 27 Apr → | |
| anubis | 13–11 | -0.05 | 14% | 26 Apr → | |
| vertigo | 13–9 | 0.01 | 11% | 26 Apr → | |
| vertigo | 1–13 | -0.11 | 22% | 24 Apr → | |
| vertigo | 13–6 | 0.03 | 27% | 20 Apr → | |
| ancient | 13–9 | 0.03 | 20% | 20 Apr → | |
| ancient | 10–13 | 0.07 | 12% | 20 Apr → | |
| anubis | 0–6 | -0.06 | 17% | 19 Apr → | |
| ancient | 5–13 | -0.04 | 19% | 19 Apr → | |
| mirage | 13–10 | 0.14 | 21% | 14 Apr → | |
| vertigo | 13–4 | 0.14 | 30% | 14 Apr → | |
| train | 13–3 | 0.32 | 25% | 14 Apr → | |
| dust2 | 13–11 | 0.05 | 31% | 13 Apr → | |
| overpass | 13–7 | 0.07 | 17% | 12 Apr → | |
| vertigo | 13–4 | 0.04 | 18% | 12 Apr → | |
| mirage | 13–1 | 0.04 | 21% | 12 Apr → | |
| vertigo | 10–13 | -0.01 | 22% | 11 Apr → | |
| train | 1–13 | -0.07 | 32% | 10 Apr → | |
| mirage | 9–13 | 0.07 | 21% | 10 Apr → | |
| mirage | 12–12 | -0.04 | 20% | 9 Apr → | |
| nuke | 5–13 | -0.07 | 19% | 9 Apr → | |
| mirage | 12–9 | 0.09 | 18% | 9 Apr → | |
| ancient | 13–2 | 0.02 | 11% | 7 Apr → | |
| vertigo | 13–4 | 0.02 | 19% | 7 Apr → | |
| mirage | 13–4 | 0.07 | 20% | 7 Apr → | |
| train | 13–6 | 0.05 | 20% | 6 Apr → | |
| mirage | 13–4 | 0.07 | 29% | 6 Apr → | |
| mirage | 12–12 | -0.03 | 16% | 6 Apr → | |
| mirage | 13–1 | 0.10 | 21% | 6 Apr → | |
| mirage | 13–7 | 0.13 | 15% | 5 Apr → | |
| ancient | 12–12 | 0.01 | 22% | 5 Apr → | |
| mirage | 10–13 | 0.01 | 27% | 5 Apr → | |
| train | 7–13 | 0.02 | 14% | 5 Apr → | |
| overpass | 9–13 | -0.03 | 18% | 4 Apr → | |
| mirage | 9–13 | -0.02 | 39% | 4 Apr → | |
| ancient | 13–4 | 0.12 | 47% | 3 Apr → | |
| mirage | 10–13 | 0.00 | 41% | 3 Apr → | |
| anubis | 13–7 | -0.03 | 16% | 3 Apr → | |
| anubis | 13–2 | 0.07 | 23% | 1 Apr → | |
| nuke | 5–13 | -0.00 | 23% | 1 Apr → | |
| ancient | 13–7 | 0.02 | 24% | 31 Mar → | |
| mirage | 13–3 | 0.10 | 16% | 31 Mar → | |
| train | 13–6 | 0.11 | 29% | 31 Mar → | |
| overpass | 12–12 | -0.02 | 23% | 31 Mar → | |
| train | 13–10 | 0.06 | 37% | 31 Mar → | |
| mirage | 13–3 | 0.09 | 39% | 30 Mar → | |
| mirage | 13–9 | 0.09 | 27% | 30 Mar → | |
| ancient | 10–13 | -0.03 | 18% | 30 Mar → | |
| train | 13–4 | 0.03 | 19% | 30 Mar → | |
| nuke | 13–10 | 0.02 | 9% | 30 Mar → | |
| anubis | 13–11 | -0.03 | 21% | 30 Mar → | |
| vertigo | 10–0 | 0.12 | 33% | 30 Mar → | |
| mirage | 8–13 | -0.01 | 25% | 29 Mar → | |
| overpass | 8–13 | 0.01 | 36% | 29 Mar → | |
| vertigo | 3–8 | -0.01 | 44% | 29 Mar → | |
| anubis | 2–13 | 0.05 | 28% | 29 Mar → | |
| ancient | 10–13 | 0.04 | 18% | 29 Mar → | |
| mirage | 2–12 | 0.04 | 32% | 27 Mar → | |
| anubis | 13–11 | -0.03 | 24% | 27 Mar → | |
| anubis | 13–9 | 0.04 | 37% | 21 Mar → | |
| mirage | 13–8 | 0.01 | 24% | 21 Mar → | |
| mirage | 11–13 | 0.01 | 24% | 21 Mar → | |
| overpass | 13–5 | 0.24 | 33% | 19 Mar → | |
| mirage | 13–6 | 0.12 | 32% | 19 Mar → | |
| mirage | 8–13 | -0.06 | 16% | 15 Mar → | |
| mirage | 6–13 | -0.09 | 38% | 13 Mar → | |
| ancient | 5–13 | 0.03 | 16% | 13 Mar → | |
| ancient | 11–13 | -0.02 | 20% | 26 Jan → | |
| nuke | 13–3 | 0.07 | 16% | 26 Jan → | |
| nuke | 4–13 | 0.04 | 27% | 21 Jan → | |
| ancient | 13–7 | -0.01 | 18% | 18 Jan → | |
| mirage | 4–13 | 0.00 | 26% | 31 Dec → | |
| mirage | 13–9 | -0.00 | 24% | 31 Dec → | |
| ancient | 13–7 | 0.01 | 24% | 30 Dec → | |
| mirage | 13–11 | 0.09 | 17% | 29 Dec → | |
| nuke | 13–5 | -0.02 | 15% | 29 Dec → | |
| nuke | 11–13 | 0.08 | 28% | 29 Dec → | |
| mirage | 13–8 | -0.01 | 18% | 29 Dec → | |
| dust2 | 13–7 | 0.01 | 36% | 29 Dec → | |
| train | 13–4 | 0.01 | 25% | 29 Dec → | |
| mirage | 11–13 | 0.07 | 28% | 29 Dec → | |
| train | 11–13 | -0.01 | 19% | 28 Dec → | |
| ancient | 10–13 | 0.01 | 29% | 27 Dec → |
Match data via Leetify.