Chidiebube Onyekachukwu — CS2 Stats
CX76561198313604984[U:1:353339256]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
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 74% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; 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
T-side openings. Opening success drops from 40% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 776ms 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 4.1/10 (Developing), 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 |
|---|---|---|---|---|---|
 dust2 | A | 29 | 17–12 | 59% | -0.01 |
 nuke | B | 20 | 9–11 | 45% | 0.01 |
 train | A | 11 | 6–5 | 55% | -0.02 |
 vertigo | B | 10 | 5–5 | 50% | -0.00 |
 inferno | D | 10 | 3–7 | 30% | -0.03 |
 mirage | D | 7 | 2–5 | 29% | -0.05 |
 cache | — | 4 | 1–3 | 25% | -0.02 |
 anubis | — | 4 | 1–3 | 25% | -0.02 |
 overpass | — | 3 | 0–3 | 0% | -0.00 |
| office | — | 1 | 0–1 | 0% | -0.09 |
 ancient | — | 1 | 0–1 | 0% | -0.02 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (29% over 7). 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.7497° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.6272% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 775.8517ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–6 | -0.01 | 10% | 7 Jun → | |
| dust2 | 11–6 | 0.01 | 32% | 7 Jun → | |
| cache | 6–13 | 0.02 | 17% | 30 May → | |
| cache | 11–13 | -0.00 | 8% | 30 May → | |
| cache | 13–1 | -0.05 | 8% | 7 May → | |
| cache | 12–12 | -0.04 | 9% | 7 May → | |
| dust2 | 11–13 | -0.01 | 7% | 29 Mar → | |
| mirage | 13–0 | -0.01 | 10% | 29 Mar → | |
| dust2 | 4–13 | -0.03 | 21% | 29 Mar → | |
| anubis | 6–13 | -0.02 | 11% | 29 Mar → | |
| vertigo | 9–13 | -0.02 | 16% | 11 Mar → | |
| dust2 | 6–13 | -0.02 | 13% | 11 Mar → | |
| nuke | 12–12 | -0.01 | 8% | 11 Mar → | |
| dust2 | 10–13 | -0.03 | 4% | 11 Mar → | |
| inferno | 13–10 | 0.02 | 13% | 11 Mar → | |
| dust2 | 13–3 | 0.03 | 9% | 3 Mar → | |
| dust2 | 8–13 | -0.04 | 9% | 3 Mar → | |
| train | 5–13 | -0.08 | 11% | 3 Mar → | |
| dust2 | 13–5 | -0.04 | 11% | 26 Feb → | |
| dust2 | 13–11 | 0.06 | 10% | 12 Feb → | |
| mirage | 2–13 | -0.09 | 9% | 12 Feb → | |
| inferno | 7–13 | 0.02 | 13% | 8 Jan → | |
| overpass | 3–13 | -0.00 | 6% | 6 Jan → | |
| nuke | 2–13 | -0.04 | 11% | 6 Jan → | |
| nuke | 13–8 | 0.01 | 10% | 31 Dec → | |
| overpass | 7–13 | 0.02 | 9% | 31 Dec → | |
| nuke | 13–7 | -0.02 | 16% | 31 Dec → | |
| mirage | 13–11 | -0.02 | 11% | 1 Dec → | |
| inferno | 13–5 | -0.04 | 15% | 23 Aug → | |
| dust2 | 0–13 | -0.06 | 17% | 6 Aug → | |
| train | 2–13 | -0.07 | 6% | 1 Aug → | |
| overpass | 10–13 | -0.03 | 11% | 1 Aug → | |
| dust2 | 13–7 | -0.03 | 12% | 26 Jun → | |
| anubis | 7–13 | -0.01 | 12% | 26 Jun → | |
| vertigo | 12–12 | 0.05 | 18% | 18 Jun → | |
| inferno | 13–3 | 0.01 | 8% | 21 May → | |
| inferno | 5–13 | -0.03 | 24% | 21 May → | |
| nuke | 15–15 | -0.00 | 16% | 21 May → | |
| nuke | 13–10 | 0.00 | 11% | 14 May → | |
| dust2 | 7–13 | -0.02 | 9% | 14 May → | |
| nuke | 10–13 | 0.02 | 16% | 7 May → | |
| anubis | 13–5 | -0.00 | 22% | 7 May → | |
| nuke | 11–13 | 0.01 | 6% | 6 May → | |
| nuke | 11–13 | 0.02 | 8% | 6 May → | |
| dust2 | 13–5 | -0.00 | 18% | 6 May → | |
| dust2 | 10–13 | -0.02 | 21% | 6 May → | |
| inferno | 5–13 | -0.07 | 8% | 1 May → | |
| mirage | 11–13 | -0.01 | 16% | 1 May → | |
| nuke | 12–12 | 0.02 | 15% | 24 Apr → | |
| dust2 | 13–4 | 0.09 | 10% | 24 Apr → | |
| dust2 | 5–13 | -0.04 | 8% | 23 Apr → | |
| dust2 | 13–11 | -0.03 | 7% | 1 Apr → | |
| inferno | 14–16 | -0.05 | 14% | 1 Apr → | |
| anubis | 15–15 | -0.04 | 9% | 30 Mar → | |
| dust2 | 13–7 | 0.05 | 22% | 30 Mar → | |
| dust2 | 7–13 | -0.05 | 13% | 8 Mar → | |
| mirage | 2–13 | -0.05 | 28% | 8 Mar → | |
| mirage | 2–13 | -0.10 | 7% | 8 Mar → | |
| mirage | 9–13 | -0.08 | 13% | 3 Mar → | |
| dust2 | 16–12 | 0.00 | 12% | 3 Mar → | |
| nuke | 13–9 | 0.00 | 7% | 15 Feb → | |
| inferno | 5–13 | -0.08 | 29% | 15 Feb → | |
| train | 15–15 | 0.03 | 17% | 15 Feb → | |
| dust2 | 9–13 | -0.04 | 11% | 2 Feb → | |
| train | 13–7 | 0.02 | 14% | 31 Jan → | |
| vertigo | 3–13 | -0.08 | 9% | 29 Jan → | |
| dust2 | 13–10 | 0.02 | 20% | 29 Jan → | |
| train | 13–4 | 0.05 | 19% | 10 Jan → | |
| nuke | 13–11 | 0.01 | 17% | 3 Dec → | |
| nuke | 13–8 | 0.09 | 20% | 20 Nov → | |
| train | 9–2 | 0.02 | 10% | 20 Nov → | |
| dust2 | 13–11 | 0.01 | 12% | 20 Nov → | |
| train | 13–6 | 0.02 | 10% | 20 Nov → | |
| train | 1–13 | -0.06 | 18% | 15 Nov → | |
| train | 8–0 | 0.00 | 10% | 15 Nov → | |
| train | 11–13 | -0.10 | 9% | 15 Nov → | |
| train | 13–10 | -0.04 | 10% | 15 Nov → | |
| dust2 | 12–12 | -0.04 | 17% | 12 Nov → | |
| dust2 | 13–11 | -0.01 | 15% | 12 Nov → | |
| dust2 | 13–7 | 0.06 | 15% | 7 Nov → | |
| vertigo | 13–9 | -0.01 | 15% | 6 Nov → | |
| nuke | 13–10 | 0.00 | 14% | 6 Nov → | |
| dust2 | 13–4 | -0.05 | 28% | 6 Nov → | |
| vertigo | 13–10 | -0.04 | 8% | 29 Oct → | |
| nuke | 13–7 | 0.06 | 21% | 28 Oct → | |
| vertigo | 13–8 | -0.05 | 7% | 28 Oct → | |
| nuke | 14–16 | -0.01 | 17% | 18 Oct → | |
| dust2 | 13–6 | -0.01 | 16% | 18 Oct → | |
| inferno | 5–13 | -0.07 | 7% | 18 Oct → | |
| vertigo | 11–13 | 0.03 | 6% | 17 Oct → | |
| nuke | 8–13 | -0.07 | 4% | 16 Oct → | |
| nuke | 2–4 | 0.07 | 10% | 16 Oct → | |
| vertigo | 13–5 | 0.10 | 25% | 15 Oct → | |
| vertigo | 6–13 | -0.09 | 29% | 15 Oct → | |
| dust2 | 13–11 | -0.01 | 20% | 11 Oct → | |
| office | 6–13 | -0.09 | 40% | 11 Oct → | |
| vertigo | 9–4 | 0.07 | 5% | 11 Oct → | |
| nuke | 12–12 | 0.01 | 21% | 11 Oct → | |
| inferno | 6–13 | -0.03 | 13% | 11 Oct → | |
| ancient | 9–13 | -0.02 | 16% | 11 Oct → |
Match data via Leetify.