noaim with steroids — CS2 Stats
76561199816952874[U:1:1856687146]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.01 avg rating
Player DNA
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-duel success, utility contribution.
Where you differ: 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
Strengths
CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 65% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 614ms 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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| B | 21 | 11–10 | 52% | 0.01 | |
| A | 20 | 11–9 | 55% | 0.01 | |
| A | 17 | 10–7 | 59% | 0.01 | |
| C | 14 | 5–9 | 36% | 0.02 | |
| D | 10 | 2–8 | 20% | 0.01 | |
| S | 7 | 5–2 | 71% | -0.02 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| alpine | — | 1 | 1–0 | 100% | 0.06 |
| — | 1 | 0–1 | 0% | 0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis 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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.6404% — below the 15% 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 34.9412% — 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.
20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–13 | -0.04 | 8% | 17 Aug → | ||
| 13–3 | 0.04 | 27% | 11 Aug → | ||
| 13–7 | 0.02 | 13% | 11 Aug → | ||
| 4–13 | -0.07 | 11% | 11 Aug → | ||
| 13–7 | -0.00 | 9% | 24 Jun → | ||
| 13–9 | -0.02 | 8% | 24 Jun → | ||
| 13–5 | -0.03 | 14% | 24 Jun → | ||
| 13–7 | 0.04 | 12% | 24 Jun → | ||
| 9–13 | 0.03 | 12% | 23 Jun → | ||
| 13–11 | -0.00 | 9% | 23 Jun → | ||
| 3–13 | -0.05 | 22% | 23 Jun → | ||
| 5–13 | -0.04 | 14% | 3 Jun → | ||
| 9–13 | -0.00 | 12% | 3 Jun → | ||
| 15–15 | -0.01 | 14% | 3 Jun → | ||
| 13–5 | -0.00 | 24% | 3 Jun → | ||
| 8–13 | 0.02 | 17% | 3 Jun → | ||
| 13–2 | -0.04 | 10% | 28 May → | ||
| 13–6 | 0.01 | 7% | 28 May → | ||
| 13–7 | 0.02 | 10% | 28 May → | ||
| 13–9 | -0.04 | 4% | 28 May → | ||
| 10–13 | 0.05 | 11% | 28 May → | ||
| 13–5 | -0.04 | 16% | 28 May → | ||
| 13–6 | 0.06 | 15% | 14 May → | ||
| 13–8 | 0.12 | 14% | 14 May → | ||
| 13–7 | 0.06 | 14% | 14 May → | ||
| 16–12 | 0.03 | 15% | 14 May → | ||
| 15–15 | 0.06 | 10% | 14 May → | ||
| 5–13 | 0.01 | 21% | 14 May → | ||
| 13–10 | 0.04 | 8% | 13 May → | ||
| 14–16 | 0.00 | 8% | 13 May → | ||
| 9–13 | 0.06 | 6% | 13 May → | ||
| 8–13 | 0.02 | 12% | 13 May → | ||
| 13–6 | -0.03 | 10% | 13 May → | ||
| 13–8 | 0.05 | 11% | 13 May → | ||
| 13–8 | 0.04 | 13% | 13 May → | ||
| 13–8 | 0.12 | 16% | 13 May → | ||
| 13–11 | 0.04 | 14% | 7 May → | ||
| 3–3 | 0.02 | 25% | 7 May → | ||
| 13–9 | 0.03 | 8% | 7 May → | ||
| 8–13 | 0.01 | 19% | 7 May → | ||
| 13–6 | 0.13 | 12% | 7 May → | ||
| 13–8 | 0.00 | 14% | 6 May → | ||
| 13–2 | -0.03 | 21% | 6 May → | ||
| 11–13 | 0.04 | 15% | 6 May → | ||
| 13–4 | 0.06 | 15% | 22 Apr → | ||
| 15–15 | 0.05 | 12% | 22 Apr → | ||
| 6–13 | 0.04 | 13% | 19 Apr → | ||
| 13–12 | -0.01 | 12% | 19 Apr → | ||
| 11–13 | 0.01 | 11% | 19 Apr → | ||
| 9–13 | 0.04 | 27% | 19 Apr → | ||
| 15–15 | -0.02 | 13% | 19 Apr → | ||
| 11–13 | -0.07 | 23% | 19 Apr → | ||
| 5–13 | 0.01 | 9% | 19 Apr → | ||
| 8–13 | 0.06 | 13% | 19 Apr → | ||
| 4–13 | -0.00 | 11% | 19 Apr → | ||
| 11–13 | -0.03 | 10% | 19 Apr → | ||
| 10–13 | -0.00 | 13% | 19 Apr → | ||
| 11–13 | -0.03 | 13% | 19 Apr → | ||
| 13–5 | -0.01 | 21% | 15 Apr → | ||
| 7–13 | -0.07 | 13% | 15 Apr → | ||
| 7–13 | -0.02 | 32% | 15 Apr → | ||
| 4–13 | 0.03 | 32% | 15 Apr → | ||
| 16–13 | 0.00 | 12% | 15 Apr → | ||
| 10–13 | 0.00 | 18% | 15 Apr → | ||
| 7–13 | -0.02 | 12% | 15 Apr → | ||
| 3–8 | -0.10 | 67% | 24 Mar → | ||
| 13–4 | 0.06 | 15% | 24 Mar → | ||
| 7–13 | -0.06 | 21% | 24 Mar → | ||
| 8–13 | 0.06 | 10% | 15 Mar → | ||
| 13–3 | 0.12 | 16% | 14 Mar → | ||
| 13–6 | 0.03 | 10% | 11 Mar → | ||
| 13–16 | 0.05 | 25% | 11 Mar → | ||
| 0–8 | -0.11 | 20% | 2 Mar → | ||
| 4–13 | -0.03 | 9% | 2 Mar → | ||
| 13–7 | -0.04 | 12% | 2 Mar → | ||
| alpine | 13–10 | 0.06 | 16% | 13 Feb → | |
| 16–13 | 0.04 | 20% | 13 Feb → | ||
| 7–13 | -0.02 | 18% | 13 Feb → | ||
| 15–15 | 0.00 | 19% | 13 Feb → | ||
| 13–5 | -0.01 | 20% | 13 Feb → | ||
| 10–13 | -0.00 | 15% | 13 Feb → | ||
| 6–13 | 0.01 | 13% | 13 Feb → | ||
| 9–13 | -0.04 | 13% | 12 Feb → | ||
| 13–10 | 0.03 | 9% | 12 Feb → | ||
| 13–7 | 0.04 | 14% | 12 Feb → | ||
| 13–16 | -0.01 | 16% | 12 Feb → | ||
| 13–11 | -0.04 | 14% | 12 Feb → | ||
| 13–3 | -0.01 | 4% | 12 Feb → | ||
| 10–13 | 0.01 | 17% | 12 Feb → | ||
| 7–13 | 0.02 | 12% | 10 Feb → | ||
| 13–6 | 0.01 | 17% | 10 Feb → | ||
| 13–7 | 0.01 | 9% | 5 Feb → | ||
| 13–6 | 0.06 | 17% | 5 Feb → | ||
| 12–16 | 0.05 | 18% | 1 Feb → | ||
| 10–13 | -0.00 | 17% | 1 Feb → | ||
| 8–13 | -0.04 | 17% | 1 Feb → | ||
| 5–13 | 0.02 | 12% | 1 Feb → | ||
| 13–7 | -0.00 | 16% | 1 Feb → | ||
| 13–6 | -0.02 | 11% | 1 Feb → | ||
| 16–13 | 0.03 | 8% | 31 Jan → |
Match data via Leetify.
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