♡Asuna♡ — CS2 Stats
76561199097763875[U:1:1137498147]✓ No bans
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafingLimited 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 NiKo 81% 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
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 738ms 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 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| C | 21 | 9–12 | 43% | -0.00 | |
| A | 16 | 9–7 | 56% | -0.02 | |
| C | 15 | 6–9 | 40% | -0.02 | |
| C | 12 | 5–7 | 42% | -0.03 | |
| S | 9 | 8–1 | 89% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.07 | |
| — | 2 | 1–1 | 50% | 0.01 |
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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 31% | 0.68 | 10.7 |
| Dust2 | 8 | 38% | 0.77 | 13.0 |
| Inferno | 7 | 71% | 0.73 | 8.4 |
| Ancient | 6 | 17% | 0.62 | 8.5 |
| Train | 2 | 50% | 1.02 | 17.5 |
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.
- 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 737.7218ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2659 — below the 0.5 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 27.7683% — 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.
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 | |
|---|---|---|---|---|---|
| 3–13 | -0.03 | 38% | 6 May → | ||
| 14–16 | 0.08 | 22% | 6 May → | ||
| 11–13 | -0.00 | 8% | 6 May → | ||
| 3–13 | -0.03 | 13% | 5 May → | ||
| 7–13 | -0.05 | 17% | 5 May → | ||
| 13–7 | -0.01 | 24% | 5 May → | ||
| 13–9 | 0.03 | 27% | 5 May → | ||
| 13–5 | -0.04 | 11% | 5 May → | ||
| 3–13 | -0.07 | 33% | 3 May → | ||
| 8–0 | 0.06 | 31% | 30 Apr → | ||
| 13–11 | -0.06 | 30% | 23 Apr → | ||
| 16–14 | -0.07 | 22% | 8 Apr → | ||
| 11–13 | -0.04 | 20% | 8 Apr → | ||
| 13–5 | -0.05 | 50% | 8 Apr → | ||
| 7–13 | 0.01 | 26% | 8 Apr → | ||
| 13–9 | -0.10 | 7% | 8 Apr → | ||
| 3–13 | -0.03 | 26% | 19 Mar → | ||
| 7–13 | -0.08 | 29% | 19 Mar → | ||
| 9–13 | -0.02 | 31% | 13 Mar → | ||
| 13–8 | 0.00 | 10% | 13 Mar → | ||
| 13–11 | -0.01 | 11% | 13 Mar → | ||
| 6–13 | -0.12 | 24% | 13 Mar → | ||
| 9–13 | -0.12 | 26% | 12 Mar → | ||
| 11–13 | -0.00 | 14% | 18 Feb → | ||
| 13–5 | 0.07 | 15% | 18 Feb → | ||
| 13–4 | 0.03 | 25% | 18 Feb → | ||
| 7–13 | 0.05 | 31% | 18 Feb → | ||
| 11–13 | -0.03 | 29% | 12 Feb → | ||
| 8–13 | -0.03 | 24% | 11 Feb → | ||
| 13–2 | 0.14 | 19% | 8 Feb → | ||
| 15–15 | -0.08 | 12% | 3 Feb → | ||
| 9–13 | -0.15 | 15% | 3 Feb → | ||
| 13–2 | -0.05 | 24% | 3 Feb → | ||
| 13–9 | -0.07 | 7% | 3 Feb → | ||
| 13–8 | 0.00 | 26% | 27 Jan → | ||
| 13–9 | -0.06 | 15% | 27 Jan → | ||
| 9–13 | -0.09 | 13% | 25 Jan → | ||
| 7–13 | -0.05 | 18% | 25 Jan → | ||
| 13–10 | 0.00 | 16% | 25 Jan → | ||
| 13–8 | -0.08 | 16% | 25 Jan → | ||
| 4–13 | -0.01 | 26% | 25 Jan → | ||
| 4–13 | -0.11 | 19% | 25 Jan → | ||
| 5–13 | -0.08 | 19% | 25 Jan → | ||
| 9–13 | -0.01 | 22% | 25 Jan → | ||
| 15–15 | -0.03 | 16% | 24 Jan → | ||
| 3–13 | -0.08 | 19% | 24 Jan → | ||
| 11–13 | -0.04 | 15% | 24 Jan → | ||
| 8–13 | 0.03 | 28% | 22 Jan → | ||
| 13–5 | -0.06 | 12% | 22 Jan → | ||
| 16–14 | -0.04 | 24% | 22 Jan → | ||
| 13–11 | -0.08 | 8% | 22 Jan → | ||
| 13–8 | -0.03 | 13% | 22 Jan → | ||
| 6–13 | -0.03 | 20% | 19 Jan → | ||
| 8–13 | -0.04 | 19% | 14 Jan → | ||
| 13–4 | 0.03 | 24% | 14 Jan → | ||
| 13–2 | 0.09 | 25% | 13 Jan → | ||
| 13–2 | 0.09 | 12% | 11 Jan → | ||
| 13–8 | -0.09 | 10% | 11 Jan → | ||
| 10–13 | -0.02 | 17% | 11 Jan → | ||
| 13–16 | -0.03 | 17% | 11 Jan → | ||
| 7–13 | -0.02 | 21% | 11 Jan → | ||
| 13–6 | 0.01 | 15% | 31 Dec → | ||
| 8–13 | -0.07 | 14% | 31 Dec → | ||
| 12–12 | 0.00 | 31% | 29 Dec → | ||
| 13–1 | -0.04 | 29% | 29 Dec → | ||
| 13–10 | 0.02 | 7% | 28 Dec → | ||
| 7–13 | -0.03 | 26% | 28 Dec → | ||
| 16–13 | -0.05 | 14% | 27 Dec → | ||
| 15–15 | 0.03 | 12% | 27 Dec → | ||
| 15–15 | -0.04 | 18% | 27 Dec → | ||
| 13–5 | 0.04 | 32% | 27 Dec → | ||
| 13–6 | -0.01 | 18% | 27 Dec → | ||
| 11–13 | -0.00 | 13% | 26 Dec → | ||
| 13–4 | 0.06 | 26% | 26 Dec → | ||
| 13–9 | -0.01 | 19% | 26 Dec → | ||
| 13–4 | 0.06 | 40% | 26 Dec → | ||
| 5–13 | -0.03 | 26% | 24 Dec → | ||
| 10–13 | -0.05 | 12% | 24 Dec → | ||
| 2–13 | -0.03 | 35% | 24 Dec → | ||
| 13–4 | 0.05 | 17% | 24 Dec → | ||
| 13–6 | -0.05 | 15% | 24 Dec → | ||
| 13–3 | 0.01 | 19% | 24 Dec → | ||
| 13–11 | -0.02 | 17% | 24 Dec → | ||
| 11–13 | -0.04 | 22% | 24 Dec → | ||
| 13–11 | -0.06 | 14% | 24 Dec → | ||
| 13–11 | -0.02 | 18% | 24 Dec → | ||
| 5–13 | -0.01 | 12% | 24 Dec → | ||
| 13–2 | 0.06 | 10% | 23 Dec → | ||
| 5–13 | -0.06 | 32% | 23 Dec → | ||
| 12–12 | -0.03 | 21% | 19 Dec → | ||
| 12–12 | -0.07 | 21% | 19 Dec → | ||
| 16–13 | -0.00 | 25% | 15 Dec → | ||
| 13–9 | 0.07 | 13% | 15 Dec → | ||
| 11–13 | 0.04 | 18% | 15 Dec → | ||
| 12–12 | -0.03 | 8% | 15 Dec → | ||
| 10–13 | -0.07 | 16% | 15 Dec → | ||
| 11–13 | -0.05 | 29% | 14 Dec → | ||
| 13–8 | 0.03 | 33% | 14 Dec → | ||
| 13–7 | -0.06 | 21% | 14 Dec → | ||
| 13–7 | 0.04 | 12% | 14 Dec → |
Match data via Leetify.