Zhou Mingrui — CS2 Stats
76561198144771338[U:1:184505610]Steam profile ↗
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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.
Strong T-side opener
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 86% playstyle similarity
Most alike: utility contribution, 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
CT openings. Opening success drops from 43% on T to 23% on CT — first contacts on the defending side are being lost.
Reaction time. 627ms 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 5.0/10 (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 | B | 39 | 20–19 | 51% | -0.00 |
| office | B | 26 | 14–12 | 54% | 0.00 |
 mirage | A | 11 | 6–5 | 55% | 0.00 |
 nuke | A | 5 | 3–2 | 60% | -0.01 |
 inferno | D | 5 | 1–4 | 20% | 0.04 |
 anubis | — | 4 | 3–1 | 75% | 0.02 |
 train | — | 3 | 1–2 | 33% | 0.04 |
 cache | — | 3 | 0–3 | 0% | -0.00 |
 ancient | — | 2 | 0–2 | 0% | -0.06 |
 vertigo | — | 2 | 2–0 | 100% | 0.02 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 5 | 40% | 0.73 | 12.0 |
| Nuke | 3 | 100% | 2.43 | 19.7 |
| Mirage | 2 | 100% | 1.44 | 16.5 |
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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 23.2586% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 0–3 | -0.07 | 0% | 14 Aug → | |
| dust2 | 13–2 | 0.12 | 33% | 14 Aug → | |
| dust2 | 13–9 | -0.06 | 16% | 9 Aug → | |
| dust2 | 13–6 | 0.03 | 17% | 9 Aug → | |
| office | 3–13 | -0.02 | 20% | 9 Aug → | |
| dust2 | 13–5 | 0.05 | 18% | 9 Aug → | |
| nuke | 13–11 | 0.06 | 17% | 9 Aug → | |
| ancient | 4–9 | -0.09 | 14% | 7 Aug → | |
| inferno | 11–13 | 0.02 | 17% | 6 Aug → | |
| train | 4–13 | 0.07 | 21% | 6 Aug → | |
| train | 9–13 | 0.03 | 23% | 6 Aug → | |
| dust2 | 6–13 | -0.05 | 33% | 6 Aug → | |
| nuke | 13–9 | -0.01 | 35% | 6 Aug → | |
| office | 10–13 | 0.02 | 22% | 5 Aug → | |
| cache | 6–13 | -0.03 | 21% | 5 Aug → | |
| inferno | 13–8 | 0.04 | 15% | 5 Aug → | |
| dust2 | 11–13 | -0.02 | 34% | 5 Aug → | |
| dust2 | 1–9 | 0.15 | 20% | 5 Aug → | |
| mirage | 13–9 | 0.00 | 15% | 4 Aug → | |
| dust2 | 2–13 | 0.01 | 21% | 4 Aug → | |
| dust2 | 13–11 | -0.07 | 14% | 4 Aug → | |
| office | 3–13 | -0.04 | 29% | 4 Aug → | |
| office | 13–9 | -0.03 | 24% | 2 Aug → | |
| office | 13–5 | -0.07 | 9% | 2 Aug → | |
| dust2 | 7–13 | -0.05 | 18% | 2 Aug → | |
| mirage | 9–2 | 0.00 | 29% | 2 Aug → | |
| mirage | 4–9 | 0.13 | 30% | 2 Aug → | |
| mirage | 5–11 | 0.02 | 23% | 1 Aug → | |
| cache | 12–12 | 0.07 | 18% | 31 Jul → | |
| dust2 | 4–13 | -0.06 | 17% | 31 Jul → | |
| train | 13–6 | 0.00 | 37% | 31 Jul → | |
| office | 13–4 | -0.01 | 41% | 31 Jul → | |
| dust2 | 8–13 | 0.03 | 25% | 30 Jul → | |
| office | 7–13 | -0.05 | 22% | 30 Jul → | |
| dust2 | 13–9 | 0.06 | 27% | 30 Jul → | |
| office | 5–13 | -0.02 | 33% | 29 Jul → | |
| office | 13–6 | 0.12 | 33% | 29 Jul → | |
| inferno | 8–8 | 0.15 | 37% | 27 Jun → | |
| mirage | 13–8 | -0.06 | 19% | 12 Jun → | |
| dust2 | 8–13 | -0.04 | 11% | 12 Jun → | |
| office | 10–13 | -0.05 | 13% | 11 Jun → | |
| office | 13–8 | 0.08 | 26% | 11 Jun → | |
| dust2 | 13–9 | 0.02 | 17% | 11 Jun → | |
| dust2 | 13–7 | 0.03 | 22% | 10 Jun → | |
| office | 8–13 | 0.06 | 19% | 10 Jun → | |
| dust2 | 13–5 | 0.05 | 25% | 8 Jun → | |
| dust2 | 13–8 | -0.03 | 7% | 8 Jun → | |
| dust2 | 10–13 | -0.07 | 10% | 7 Jun → | |
| dust2 | 13–9 | -0.01 | 18% | 7 Jun → | |
| dust2 | 13–7 | 0.07 | 14% | 7 Jun → | |
| nuke | 5–13 | -0.04 | 17% | 7 Jun → | |
| dust2 | 13–4 | 0.02 | 23% | 7 Jun → | |
| dust2 | 13–7 | -0.01 | 29% | 7 Jun → | |
| nuke | 13–11 | 0.01 | 19% | 7 Jun → | |
| dust2 | 14–16 | -0.03 | 14% | 5 Jun → | |
| mirage | 7–13 | -0.04 | 21% | 5 Jun → | |
| ancient | 6–13 | -0.03 | 20% | 5 Jun → | |
| dust2 | 12–12 | -0.05 | 11% | 5 Jun → | |
| office | 5–11 | -0.03 | 16% | 5 Jun → | |
| dust2 | 13–9 | 0.02 | 14% | 4 Jun → | |
| vertigo | 13–6 | 0.01 | 13% | 4 Jun → | |
| vertigo | 13–4 | 0.04 | 20% | 4 Jun → | |
| mirage | 13–6 | -0.02 | 15% | 3 Jun → | |
| dust2 | 8–13 | -0.05 | 21% | 3 Jun → | |
| dust2 | 13–5 | -0.02 | 24% | 3 Jun → | |
| inferno | 3–9 | -0.02 | 22% | 3 Jun → | |
| mirage | 13–6 | 0.01 | 17% | 1 Jun → | |
| dust2 | 11–13 | -0.05 | 30% | 1 Jun → | |
| cache | 4–6 | -0.04 | 13% | 31 May → | |
| dust2 | 4–13 | 0.00 | 26% | 31 May → | |
| office | 7–13 | -0.03 | 15% | 30 May → | |
| anubis | 11–13 | -0.04 | 6% | 30 May → | |
| office | 13–4 | 0.03 | 18% | 30 May → | |
| dust2 | 10–13 | 0.03 | 26% | 30 May → | |
| office | 13–11 | -0.09 | 20% | 30 May → | |
| dust2 | 13–4 | -0.04 | 15% | 29 May → | |
| office | 13–11 | -0.06 | 10% | 29 May → | |
| dust2 | 13–9 | -0.01 | 29% | 29 May → | |
| office | 13–6 | 0.01 | 13% | 28 May → | |
| office | 13–7 | 0.01 | 21% | 28 May → | |
| office | 13–6 | 0.07 | 18% | 28 May → | |
| office | 12–2 | 0.11 | 15% | 28 May → | |
| dust2 | 13–5 | 0.06 | 21% | 28 May → | |
| mirage | 13–4 | -0.03 | 18% | 28 May → | |
| office | 13–10 | -0.00 | 16% | 28 May → | |
| anubis | 13–11 | 0.02 | 13% | 28 May → | |
| mirage | 6–13 | -0.01 | 20% | 28 May → | |
| mirage | 8–13 | 0.03 | 14% | 28 May → | |
| office | 13–8 | 0.07 | 18% | 28 May → | |
| anubis | 13–11 | 0.06 | 17% | 28 May → | |
| anubis | 13–9 | 0.04 | 17% | 28 May → | |
| dust2 | 11–13 | -0.01 | 10% | 28 May → | |
| office | 10–13 | -0.01 | 22% | 28 May → | |
| dust2 | 11–13 | 0.01 | 15% | 27 May → | |
| dust2 | 9–13 | -0.07 | 14% | 27 May → | |
| nuke | 12–12 | -0.08 | 11% | 27 May → | |
| office | 12–12 | -0.01 | 21% | 27 May → | |
| office | 12–12 | 0.03 | 21% | 27 May → | |
| dust2 | 13–7 | 0.05 | 25% | 27 May → | |
| inferno | 7–13 | 0.03 | 15% | 27 May → |
Match data via Leetify.