梅超风 — CS2 Stats
76561198073820081[U:1:113554353]
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-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 b1t 95% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
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 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 590ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| A | 22 | 14–8 | 64% | 0.01 | |
| S | 20 | 14–6 | 70% | 0.01 | |
| C | 16 | 6–10 | 38% | 0.01 | |
| C | 15 | 6–9 | 40% | 0.02 | |
| S | 12 | 9–3 | 75% | 0.03 | |
| S | 9 | 7–2 | 78% | 0.04 | |
| — | 2 | 2–0 | 100% | 0.11 | |
| — | 2 | 0–2 | 0% | -0.00 | |
| — | 1 | 1–0 | 100% | 0.06 | |
| — | 1 | 0–1 | 0% | 0.07 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 18 | 44% | 0.97 | 13.2 |
| Dust2 | 11 | 55% | 0.86 | 15.4 |
| Ancient | 6 | 67% | 1.35 | 17.5 |
| Anubis | 5 | 20% | 0.77 | 15.8 |
| Vertigo | 1 | 0% | 0.62 | 10.0 |
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.
- 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 35.0168% — 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.
38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | 0.03 | 21% | 26 Aug → | ||
| 13–5 | -0.06 | 9% | 26 Aug → | ||
| 3–13 | 0.00 | 25% | 26 Aug → | ||
| 13–3 | 0.08 | 26% | 26 Aug → | ||
| 10–13 | -0.06 | 22% | 26 Aug → | ||
| 13–8 | 0.07 | 23% | 26 Aug → | ||
| 13–10 | -0.05 | 23% | 26 Aug → | ||
| 13–9 | 0.02 | 17% | 26 Aug → | ||
| 13–6 | -0.00 | 20% | 26 Aug → | ||
| 13–8 | 0.02 | 24% | 26 Aug → | ||
| 13–7 | 0.00 | 20% | 26 Aug → | ||
| 13–11 | -0.01 | 17% | 25 Aug → | ||
| 13–7 | -0.06 | 11% | 25 Aug → | ||
| 15–15 | 0.02 | 18% | 25 Aug → | ||
| 13–5 | 0.05 | 21% | 25 Aug → | ||
| 10–13 | 0.02 | 25% | 25 Aug → | ||
| 13–5 | 0.10 | 21% | 21 Aug → | ||
| 13–8 | 0.06 | 12% | 21 Aug → | ||
| 12–12 | 0.07 | 21% | 21 Aug → | ||
| 13–2 | 0.01 | 21% | 21 Aug → | ||
| 13–3 | 0.22 | 18% | 21 Aug → | ||
| 7–13 | 0.17 | 24% | 21 Aug → | ||
| 13–11 | 0.05 | 15% | 19 Aug → | ||
| 13–11 | 0.05 | 26% | 19 Aug → | ||
| 13–10 | 0.07 | 7% | 17 Aug → | ||
| 12–12 | 0.05 | 10% | 17 Aug → | ||
| 2–13 | 0.04 | 9% | 16 Aug → | ||
| 13–9 | -0.01 | 16% | 16 Aug → | ||
| 13–10 | 0.02 | 16% | 16 Aug → | ||
| 13–10 | 0.10 | 17% | 15 Aug → | ||
| 13–8 | 0.05 | 18% | 15 Aug → | ||
| 15–15 | -0.03 | 13% | 15 Aug → | ||
| 8–13 | 0.02 | 18% | 15 Aug → | ||
| 4–13 | -0.01 | 20% | 15 Aug → | ||
| 10–13 | -0.02 | 14% | 15 Aug → | ||
| 13–2 | 0.08 | 11% | 14 Aug → | ||
| 13–5 | 0.04 | 31% | 14 Aug → | ||
| 4–13 | -0.07 | 23% | 14 Aug → | ||
| 13–3 | 0.08 | 14% | 11 Aug → | ||
| 13–11 | -0.01 | 22% | 11 Aug → | ||
| 13–7 | 0.04 | 20% | 11 Aug → | ||
| 8–13 | 0.01 | 15% | 11 Aug → | ||
| 13–9 | 0.04 | 24% | 10 Aug → | ||
| 13–7 | 0.00 | 33% | 10 Aug → | ||
| 13–9 | -0.00 | 14% | 10 Aug → | ||
| 7–13 | -0.03 | 11% | 10 Aug → | ||
| 10–13 | 0.05 | 18% | 9 Aug → | ||
| 11–13 | 0.01 | 24% | 9 Aug → | ||
| 13–3 | -0.00 | 24% | 9 Aug → | ||
| 13–11 | 0.10 | 17% | 9 Aug → | ||
| 14–16 | 0.02 | 21% | 9 Aug → | ||
| 3–13 | -0.00 | 10% | 9 Aug → | ||
| 13–6 | 0.04 | 8% | 8 Aug → | ||
| 13–10 | 0.04 | 16% | 8 Aug → | ||
| 13–3 | 0.11 | 16% | 8 Aug → | ||
| 11–13 | 0.03 | 12% | 8 Aug → | ||
| 8–13 | -0.06 | 29% | 8 Aug → | ||
| 13–8 | 0.03 | 21% | 5 Aug → | ||
| 13–3 | 0.02 | 11% | 5 Aug → | ||
| 16–12 | 0.03 | 16% | 5 Aug → | ||
| 7–13 | -0.08 | 8% | 5 Aug → | ||
| 6–13 | -0.04 | 13% | 4 Aug → | ||
| 13–11 | 0.02 | 10% | 4 Aug → | ||
| 7–13 | -0.02 | 10% | 4 Aug → | ||
| 13–8 | 0.08 | 17% | 4 Aug → | ||
| 14–16 | 0.03 | 19% | 4 Aug → | ||
| 5–13 | -0.02 | 21% | 4 Aug → | ||
| 14–16 | -0.04 | 11% | 3 Aug → | ||
| 13–9 | 0.08 | 13% | 3 Aug → | ||
| 13–5 | -0.06 | 8% | 3 Aug → | ||
| 13–10 | 0.11 | 26% | 3 Aug → | ||
| 13–9 | -0.00 | 17% | 3 Aug → | ||
| 13–9 | 0.04 | 17% | 3 Aug → | ||
| 13–6 | 0.02 | 13% | 3 Aug → | ||
| 13–3 | 0.03 | 13% | 3 Aug → | ||
| 13–10 | 0.02 | 19% | 3 Aug → | ||
| 13–9 | 0.01 | 17% | 3 Aug → | ||
| 13–10 | -0.05 | 15% | 3 Aug → | ||
| 4–13 | -0.02 | 24% | 2 Aug → | ||
| 13–5 | 0.01 | 13% | 2 Aug → | ||
| 13–8 | 0.07 | 22% | 2 Aug → | ||
| 13–8 | 0.11 | 25% | 2 Aug → | ||
| 13–8 | 0.03 | 13% | 2 Aug → | ||
| 6–13 | 0.01 | 14% | 2 Aug → | ||
| 2–13 | 0.00 | 23% | 2 Aug → | ||
| 10–13 | -0.02 | 13% | 1 Aug → | ||
| 14–16 | -0.03 | 12% | 1 Aug → | ||
| 9–13 | 0.02 | 12% | 1 Aug → | ||
| 13–8 | 0.02 | 18% | 1 Aug → | ||
| 2–11 | -0.04 | 7% | 1 Aug → | ||
| 16–12 | 0.07 | 10% | 29 Jul → | ||
| 13–8 | 0.03 | 15% | 29 Jul → | ||
| 6–13 | 0.04 | 16% | 29 Jul → | ||
| 13–10 | -0.04 | 8% | 29 Jul → | ||
| 10–13 | -0.02 | 16% | 29 Jul → | ||
| 13–7 | 0.00 | 17% | 29 Jul → | ||
| 6–13 | 0.00 | 15% | 28 Jul → | ||
| 4–13 | -0.10 | 15% | 28 Jul → | ||
| 11–13 | 0.03 | 9% | 28 Jul → | ||
| 8–13 | -0.01 | 15% | 27 Jul → |
Match data via Leetify.