Sunny — CS2 Stats
76561198406351742[U:1:446086014]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 Twistzz 91% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 564ms 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 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| B | 17 | 8–9 | 47% | 0.00 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| A | 17 | 10–7 | 59% | 0.02 | |
| S | 17 | 11–6 | 65% | 0.02 | |
| D | 11 | 3–8 | 27% | -0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.06 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 144 | 53% | 1.19 | 16.5 |
| Inferno | 93 | 54% | 1.26 | 16.2 |
| Ancient | 71 | 56% | 1.23 | 17.0 |
| Dust2 | 41 | 59% | 1.27 | 17.4 |
| Anubis | 27 | 63% | 1.07 | 17.0 |
| Vertigo | 26 | 35% | 0.99 | 16.0 |
| Nuke | 23 | 52% | 1.29 | 17.4 |
| Overpass | 9 | 33% | 0.92 | 15.8 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.452 — 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 35.2502% — 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.01 | 32% | 29 Jun → | ||
| 13–6 | 0.09 | 27% | 29 Jun → | ||
| 15–15 | 0.00 | 36% | 29 Jun → | ||
| 13–10 | 0.03 | 24% | 29 Jun → | ||
| 6–13 | -0.01 | 35% | 29 Jun → | ||
| 15–15 | -0.04 | 24% | 29 Jun → | ||
| 13–7 | 0.02 | 29% | 29 Jun → | ||
| 13–4 | 0.04 | 20% | 29 Jun → | ||
| 6–13 | -0.01 | 20% | 28 Jun → | ||
| 11–13 | -0.04 | 14% | 28 Jun → | ||
| 6–13 | 0.11 | 32% | 28 Jun → | ||
| 13–7 | 0.04 | 23% | 28 Jun → | ||
| 6–13 | -0.05 | 38% | 28 Jun → | ||
| 1–13 | -0.01 | 38% | 28 Jun → | ||
| 13–7 | 0.07 | 33% | 27 Jun → | ||
| 5–2 | 0.10 | 35% | 27 Jun → | ||
| 3–0 | -0.07 | 100% | 27 Jun → | ||
| 13–10 | -0.09 | 28% | 27 Jun → | ||
| 13–9 | 0.04 | 36% | 27 Jun → | ||
| 13–2 | 0.03 | 28% | 27 Jun → | ||
| 6–13 | -0.04 | 19% | 27 Jun → | ||
| 13–11 | -0.00 | 26% | 12 Jun → | ||
| 11–13 | 0.02 | 39% | 11 Jun → | ||
| 13–10 | 0.00 | 29% | 11 Jun → | ||
| 13–8 | 0.06 | 26% | 11 Jun → | ||
| 13–9 | 0.04 | 17% | 11 Jun → | ||
| 6–12 | -0.03 | 23% | 11 Jun → | ||
| 6–13 | 0.09 | 28% | 11 Jun → | ||
| 9–13 | 0.03 | 21% | 31 May → | ||
| 9–13 | -0.04 | 19% | 31 May → | ||
| 13–7 | 0.01 | 26% | 31 May → | ||
| 10–13 | 0.09 | 19% | 31 May → | ||
| 13–3 | 0.09 | 43% | 31 May → | ||
| 4–13 | -0.03 | 26% | 31 May → | ||
| 13–6 | 0.04 | 36% | 30 May → | ||
| 9–13 | 0.14 | 27% | 30 May → | ||
| 12–12 | -0.00 | 22% | 30 May → | ||
| 6–0 | 0.08 | 21% | 30 May → | ||
| 11–13 | 0.03 | 34% | 30 May → | ||
| 13–11 | 0.02 | 23% | 30 May → | ||
| 13–7 | 0.07 | 37% | 30 May → | ||
| 13–16 | 0.00 | 35% | 30 May → | ||
| 9–13 | 0.04 | 24% | 30 May → | ||
| 15–15 | -0.00 | 22% | 30 May → | ||
| 8–13 | -0.00 | 22% | 30 May → | ||
| 7–13 | 0.03 | 29% | 29 May → | ||
| 9–13 | -0.01 | 19% | 29 May → | ||
| 11–13 | 0.00 | 18% | 28 May → | ||
| 11–13 | 0.02 | 21% | 28 May → | ||
| 7–13 | 0.03 | 27% | 28 May → | ||
| 13–6 | 0.05 | 26% | 28 May → | ||
| 13–8 | -0.01 | 24% | 28 May → | ||
| 10–13 | -0.03 | 9% | 27 May → | ||
| 13–11 | 0.00 | 39% | 27 May → | ||
| 11–13 | -0.01 | 18% | 27 May → | ||
| 9–13 | 0.01 | 30% | 27 May → | ||
| 12–12 | -0.01 | 25% | 27 May → | ||
| 13–4 | 0.10 | 28% | 27 May → | ||
| 13–6 | 0.05 | 38% | 27 May → | ||
| 13–9 | 0.01 | 29% | 27 May → | ||
| 10–6 | -0.05 | 29% | 26 May → | ||
| 13–9 | 0.02 | 41% | 25 May → | ||
| 13–8 | 0.02 | 36% | 25 May → | ||
| 6–13 | 0.07 | 23% | 25 May → | ||
| 7–11 | -0.07 | 31% | 25 May → | ||
| 13–9 | 0.02 | 30% | 25 May → | ||
| 13–10 | 0.04 | 24% | 25 May → | ||
| 12–12 | 0.05 | 18% | 25 May → | ||
| 3–13 | -0.03 | 37% | 25 May → | ||
| 13–9 | 0.06 | 27% | 25 May → | ||
| 13–9 | 0.03 | 20% | 25 May → | ||
| 13–3 | -0.03 | 31% | 25 May → | ||
| 13–11 | 0.02 | 31% | 24 May → | ||
| 13–10 | -0.01 | 23% | 23 May → | ||
| 7–13 | 0.01 | 44% | 23 May → | ||
| 12–12 | -0.06 | 17% | 23 May → | ||
| 2–7 | -0.04 | 0% | 23 May → | ||
| 13–11 | 0.00 | 28% | 23 May → | ||
| 13–1 | 0.12 | 21% | 23 May → | ||
| 7–13 | 0.04 | 42% | 23 May → | ||
| 13–4 | 0.07 | 22% | 23 May → | ||
| 13–9 | 0.06 | 38% | 19 Apr → | ||
| 13–6 | -0.05 | 20% | 19 Apr → | ||
| 13–7 | -0.02 | 31% | 19 Apr → | ||
| 11–13 | 0.05 | 23% | 19 Apr → | ||
| 13–8 | 0.13 | 30% | 18 Apr → | ||
| 5–13 | -0.00 | 25% | 18 Apr → | ||
| 13–9 | -0.07 | 21% | 18 Apr → | ||
| 10–13 | -0.04 | 26% | 18 Apr → | ||
| 13–7 | 0.02 | 22% | 18 Apr → | ||
| 9–13 | -0.04 | 24% | 18 Apr → | ||
| 13–11 | -0.00 | 32% | 18 Apr → | ||
| 13–7 | 0.01 | 18% | 18 Apr → | ||
| 13–8 | 0.00 | 26% | 18 Apr → | ||
| 13–3 | 0.00 | 35% | 18 Apr → | ||
| 7–13 | -0.03 | 27% | 18 Apr → | ||
| 9–13 | 0.06 | 39% | 18 Apr → | ||
| 13–11 | -0.06 | 32% | 15 Apr → | ||
| 13–10 | 0.02 | 39% | 15 Apr → | ||
| 7–13 | 0.04 | 44% | 15 Apr → |
Match data via Leetify.