Angy — CS2 Stats
76561198046525092[U:1:86259364]Steam profile ↗✓ 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: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerEffective flashesLimited 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 Twistzz 88% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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
T-side openings. Opening success drops from 51% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 684ms 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 4.9/10 (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 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 | 47 | 18–29 | 38% | -0.03 | |
| C | 34 | 13–21 | 38% | -0.04 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| B | 6 | 3–3 | 50% | -0.05 | |
| — | 3 | 0–3 | 0% | -0.03 | |
| — | 2 | 2–0 | 100% | 0.03 | |
| — | 1 | 0–1 | 0% | -0.05 | |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 3.8587 — 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 27.2429% — 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.
33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 24% | 13 May → | ||
| 10–13 | 0.07 | 17% | 13 May → | ||
| 16–14 | 0.02 | 9% | 12 May → | ||
| 6–13 | -0.03 | 15% | 11 May → | ||
| 13–7 | -0.06 | 18% | 11 May → | ||
| 8–13 | -0.06 | 19% | 7 May → | ||
| 8–13 | -0.05 | 7% | 7 May → | ||
| 11–13 | -0.03 | 19% | 6 May → | ||
| 13–6 | -0.01 | 22% | 5 May → | ||
| 8–10 | -0.02 | 13% | 5 May → | ||
| 13–4 | 0.10 | 16% | 5 May → | ||
| 13–11 | -0.01 | 21% | 1 May → | ||
| 14–16 | -0.05 | 19% | 29 Apr → | ||
| 6–13 | -0.08 | 13% | 28 Apr → | ||
| 13–4 | -0.05 | 21% | 28 Apr → | ||
| 2–13 | -0.09 | 14% | 28 Apr → | ||
| 8–13 | -0.02 | 17% | 28 Apr → | ||
| 13–11 | 0.02 | 27% | 27 Apr → | ||
| 10–13 | -0.05 | 19% | 27 Apr → | ||
| 8–13 | -0.02 | 50% | 27 Apr → | ||
| 13–4 | -0.08 | 24% | 27 Apr → | ||
| 13–8 | -0.03 | 14% | 27 Apr → | ||
| 3–13 | -0.08 | 18% | 27 Apr → | ||
| 13–10 | -0.01 | 21% | 25 Apr → | ||
| 13–9 | 0.03 | 23% | 24 Apr → | ||
| 11–13 | 0.01 | 25% | 23 Apr → | ||
| 8–13 | -0.02 | 22% | 21 Apr → | ||
| 3–13 | 0.01 | 18% | 21 Apr → | ||
| 8–13 | -0.04 | 29% | 21 Apr → | ||
| 6–13 | -0.10 | 16% | 20 Apr → | ||
| 13–7 | -0.08 | 20% | 20 Apr → | ||
| 13–4 | 0.01 | 22% | 20 Apr → | ||
| 1–13 | -0.05 | 20% | 15 Apr → | ||
| 3–13 | -0.04 | 41% | 15 Apr → | ||
| 7–13 | -0.01 | 12% | 15 Apr → | ||
| 7–13 | -0.06 | 5% | 15 Apr → | ||
| 13–10 | -0.00 | 21% | 15 Apr → | ||
| 13–0 | -0.01 | 31% | 15 Apr → | ||
| 16–13 | -0.00 | 21% | 14 Apr → | ||
| 10–13 | -0.03 | 15% | 14 Apr → | ||
| 1–13 | -0.12 | 38% | 13 Apr → | ||
| 9–13 | -0.05 | 10% | 13 Apr → | ||
| 13–11 | -0.05 | 23% | 13 Apr → | ||
| 13–6 | -0.03 | 25% | 13 Apr → | ||
| 11–13 | -0.03 | 15% | 11 Apr → | ||
| 13–6 | -0.02 | 22% | 6 Apr → | ||
| 8–13 | 0.03 | 11% | 3 Apr → | ||
| 9–13 | -0.06 | 12% | 18 Mar → | ||
| 9–13 | -0.05 | 6% | 17 Mar → | ||
| 15–15 | -0.00 | 14% | 16 Mar → | ||
| 8–13 | -0.05 | 20% | 16 Mar → | ||
| 12–16 | -0.06 | 15% | 28 Sept → | ||
| 7–16 | -0.03 | 15% | 5 Apr → | ||
| 6–9 | 0.01 | 16% | 3 Apr → | ||
| 12–16 | -0.09 | 11% | 14 Mar → | ||
| 16–14 | -0.07 | 15% | 14 Mar → | ||
| 3–16 | -0.07 | 19% | 6 Mar → | ||
| 11–16 | -0.07 | 11% | 4 Mar → | ||
| 3–16 | -0.07 | 19% | 28 Feb → | ||
| 5–16 | -0.10 | 7% | 25 Feb → | ||
| 16–6 | -0.07 | 10% | 23 Feb → | ||
| 15–15 | -0.06 | 8% | 20 Feb → | ||
| 7–16 | -0.04 | 9% | 19 Feb → | ||
| 16–10 | -0.02 | 11% | 19 Feb → | ||
| 10–16 | -0.02 | 9% | 11 Feb → | ||
| 11–16 | -0.08 | 9% | 9 Feb → | ||
| 16–6 | 0.07 | 9% | 9 Feb → | ||
| 9–16 | -0.01 | 13% | 8 Feb → | ||
| 0–9 | -0.06 | 5% | 8 Feb → | ||
| 10–16 | -0.08 | 7% | 7 Feb → | ||
| 9–16 | 0.01 | 14% | 7 Feb → | ||
| 15–15 | 0.02 | 7% | 6 Feb → | ||
| 16–9 | -0.02 | 12% | 6 Feb → | ||
| 15–15 | -0.05 | 9% | 5 Feb → | ||
| 16–3 | 0.04 | 8% | 5 Feb → | ||
| 11–16 | -0.07 | 12% | 4 Feb → | ||
| 16–3 | -0.00 | 15% | 4 Feb → | ||
| 9–16 | -0.03 | 9% | 4 Feb → | ||
| 13–16 | -0.08 | 9% | 2 Feb → | ||
| 16–6 | 0.02 | 20% | 2 Feb → | ||
| 16–6 | 0.02 | 11% | 1 Feb → | ||
| 7–16 | -0.00 | 19% | 1 Feb → | ||
| 16–8 | 0.01 | 28% | 30 Jan → | ||
| 16–10 | -0.10 | 9% | 29 Jan → | ||
| 16–11 | -0.04 | 11% | 29 Jan → | ||
| 12–16 | -0.06 | 10% | 29 Jan → | ||
| 8–16 | -0.07 | 3% | 27 Jan → | ||
| 16–14 | -0.01 | 18% | 26 Jan → | ||
| 16–12 | -0.01 | 13% | 26 Jan → | ||
| 16–11 | 0.02 | 11% | 26 Jan → | ||
| 10–16 | -0.04 | 13% | 25 Jan → | ||
| 15–15 | -0.05 | 7% | 25 Jan → | ||
| 16–3 | 0.01 | 7% | 25 Jan → | ||
| 8–16 | -0.10 | 12% | 25 Jan → | ||
| 15–15 | -0.02 | 24% | 24 Jan → | ||
| 8–16 | -0.06 | 14% | 24 Jan → | ||
| 16–4 | 0.07 | 19% | 24 Jan → | ||
| 15–15 | -0.07 | 9% | 23 Jan → | ||
| 15–15 | -0.07 | 6% | 23 Jan → | ||
| 16–7 | 0.03 | 15% | 17 Jan → |
Match data via Leetify.