caoxuanm — CS2 Stats
76561198990494613[U:1:1030228885]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerLimited 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 ropz 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 60% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 608ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 89 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 | 52 | 28–24 | 54% | 0.02 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 4 | 3–1 | 75% | -0.05 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.07 |
Across the last 89 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (47% over 15). 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 35 | 51% | 1.45 | 18.7 |
| Mirage | 31 | 55% | 1.14 | 15.0 |
| Inferno | 14 | 43% | 1.14 | 16.2 |
| Nuke | 8 | 75% | 1.07 | 16.3 |
| Ancient | 5 | 40% | 0.85 | 14.4 |
| Overpass | 2 | 0% | 0.56 | 8.5 |
| Cache | 1 | 100% | 1.83 | 22.0 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9469 — below the 4 mark we flag
- 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 24.2895% — 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.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–6 | -0.03 | 13% | 26 Aug → | ||
| 6–13 | -0.00 | 29% | 26 Aug → | ||
| 7–13 | -0.05 | 20% | 25 Aug → | ||
| 13–8 | 0.02 | 23% | 25 Aug → | ||
| 13–4 | -0.01 | 20% | 24 Aug → | ||
| 10–13 | 0.02 | 28% | 23 Aug → | ||
| 13–11 | 0.02 | 16% | 23 Aug → | ||
| 13–8 | 0.02 | 22% | 20 Aug → | ||
| 13–5 | 0.05 | 19% | 20 Aug → | ||
| 10–13 | -0.03 | 15% | 19 Aug → | ||
| 13–7 | 0.08 | 28% | 17 Aug → | ||
| 13–9 | 0.01 | 20% | 17 Aug → | ||
| 13–3 | -0.03 | 24% | 17 Aug → | ||
| 11–13 | -0.02 | 30% | 5 Aug → | ||
| 13–11 | 0.02 | 18% | 5 Aug → | ||
| 7–13 | 0.02 | 18% | 29 Jul → | ||
| 13–7 | 0.03 | 35% | 22 Jul → | ||
| 8–13 | 0.07 | 55% | 22 Jul → | ||
| 11–13 | 0.09 | 15% | 22 Jul → | ||
| 3–9 | 0.16 | 25% | 20 Jul → | ||
| 10–13 | 0.01 | 19% | 5 Jul → | ||
| 4–13 | -0.01 | 22% | 24 Jun → | ||
| 12–12 | 0.07 | 18% | 22 Jun → | ||
| 5–13 | -0.03 | 20% | 21 Jun → | ||
| 7–13 | -0.07 | 14% | 16 Jun → | ||
| 13–8 | 0.02 | 12% | 7 Jun → | ||
| 13–6 | 0.03 | 12% | 5 Jun → | ||
| 9–13 | 0.06 | 17% | 2 Jun → | ||
| 13–4 | 0.08 | 22% | 27 May → | ||
| 9–13 | -0.02 | 12% | 27 May → | ||
| 13–10 | 0.03 | 34% | 21 May → | ||
| 13–8 | -0.05 | 14% | 20 Apr → | ||
| 12–4 | 0.13 | 29% | 9 Apr → | ||
| 13–9 | 0.05 | 12% | 28 Mar → | ||
| 13–10 | 0.08 | 9% | 25 Mar → | ||
| 11–13 | -0.05 | 14% | 25 Mar → | ||
| 11–13 | 0.04 | 21% | 24 Mar → | ||
| 13–8 | 0.05 | 16% | 21 Mar → | ||
| 9–13 | -0.01 | 12% | 20 Mar → | ||
| 10–13 | 0.02 | 16% | 14 Mar → | ||
| 13–11 | 0.04 | 14% | 14 Mar → | ||
| 13–7 | -0.01 | 14% | 14 Mar → | ||
| 13–11 | -0.09 | 3% | 14 Mar → | ||
| 8–13 | 0.02 | 36% | 13 Mar → | ||
| 3–13 | -0.03 | 18% | 13 Mar → | ||
| 3–13 | -0.07 | 11% | 13 Mar → | ||
| 13–6 | -0.05 | 17% | 12 Mar → | ||
| 4–13 | -0.01 | 13% | 12 Mar → | ||
| 13–11 | 0.07 | 17% | 12 Mar → | ||
| 13–5 | -0.00 | 13% | 12 Mar → | ||
| 13–10 | 0.04 | 11% | 10 Mar → | ||
| 13–9 | 0.02 | 13% | 9 Mar → | ||
| 9–13 | -0.02 | 10% | 8 Mar → | ||
| 13–4 | 0.05 | 10% | 8 Mar → | ||
| 9–13 | 0.02 | 12% | 8 Mar → | ||
| 13–11 | -0.01 | 15% | 7 Mar → | ||
| 17–19 | 0.01 | 15% | 4 Mar → | ||
| 8–13 | -0.04 | 6% | 3 Mar → | ||
| 11–13 | -0.00 | 9% | 3 Mar → | ||
| 13–8 | 0.12 | 7% | 3 Mar → | ||
| 8–13 | -0.02 | 17% | 2 Mar → | ||
| 8–13 | -0.06 | 15% | 1 Mar → | ||
| 6–1 | 0.05 | 16% | 27 Feb → | ||
| 13–10 | -0.01 | 20% | 25 Feb → | ||
| 13–10 | 0.01 | 22% | 25 Feb → | ||
| 13–10 | 0.01 | 17% | 24 Feb → | ||
| 8–13 | 0.04 | 20% | 19 Feb → | ||
| 13–7 | -0.03 | 28% | 19 Feb → | ||
| 12–16 | -0.05 | 12% | 14 Feb → | ||
| 13–11 | 0.06 | 15% | 14 Feb → | ||
| 13–3 | 0.04 | 22% | 12 Feb → | ||
| 8–13 | -0.08 | 10% | 9 Feb → | ||
| 13–11 | 0.05 | 11% | 8 Feb → | ||
| 13–7 | 0.02 | 14% | 8 Feb → | ||
| 9–13 | -0.08 | 20% | 6 Feb → | ||
| 13–4 | 0.05 | 22% | 6 Feb → | ||
| 0–13 | -0.08 | 7% | 1 Feb → | ||
| 6–13 | 0.03 | 19% | 12 Jan → | ||
| 6–13 | -0.03 | 13% | 11 Dec → | ||
| 13–11 | -0.01 | 15% | 11 Dec → | ||
| 8–13 | -0.01 | 11% | 11 Dec → | ||
| 1–13 | 0.01 | 16% | 22 Nov → | ||
| 4–13 | -0.03 | 27% | 12 Nov → | ||
| 13–7 | 0.07 | 8% | 18 Oct → | ||
| 13–3 | 0.10 | 13% | 16 Oct → | ||
| 13–11 | 0.02 | 12% | 11 Oct → | ||
| 12–12 | 0.03 | 8% | 9 Oct → | ||
| 13–11 | -0.08 | 20% | 9 Oct → | ||
| 13–2 | 0.05 | 21% | 8 Sept → |
Match data via Leetify.