Sick Nasty — CS2 Stats
76561198123557649[U:1:163291921]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 NiKo 81% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 662ms 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 4.8/10 (Developing), 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 | 46 | 26–20 | 57% | -0.02 | |
| B | 13 | 6–7 | 46% | -0.02 | |
| C | 11 | 4–7 | 36% | -0.03 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 4 | 0–4 | 0% | -0.05 | |
| — | 3 | 1–2 | 33% | -0.05 | |
| shelter | — | 2 | 0–2 | 0% | -0.07 |
| — | 2 | 2–0 | 100% | 0.01 | |
| office | — | 2 | 0–2 | 0% | -0.03 |
| — | 2 | 1–1 | 50% | -0.04 | |
| palais | — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
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 resultsWLWWL
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 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 14.2343% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.8161 — 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 25.9346% — 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 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| shelter | 9–13 | -0.08 | 11% | 30 Jul → | |
| 13–10 | -0.03 | 21% | 29 Jul → | ||
| 13–2 | 0.05 | 20% | 29 Jul → | ||
| 4–13 | -0.07 | 22% | 28 Jul → | ||
| shelter | 10–13 | -0.05 | 18% | 23 Jul → | |
| 13–11 | 0.02 | 13% | 23 Jul → | ||
| 13–6 | -0.10 | 6% | 22 Jul → | ||
| 13–10 | 0.04 | 16% | 21 Jul → | ||
| 13–3 | -0.01 | 10% | 7 Jul → | ||
| 5–13 | -0.06 | 6% | 24 Jun → | ||
| 13–6 | -0.05 | 0% | 20 Jun → | ||
| 6–13 | -0.03 | 12% | 19 Jun → | ||
| 6–13 | -0.09 | 10% | 18 Jun → | ||
| 4–1 | -0.05 | 22% | 18 Jun → | ||
| 13–5 | -0.04 | 8% | 18 Jun → | ||
| 13–9 | 0.00 | 24% | 14 Jun → | ||
| 6–13 | -0.01 | 13% | 12 Jun → | ||
| 13–3 | -0.05 | 9% | 12 Jun → | ||
| 6–13 | -0.07 | 7% | 9 Jun → | ||
| 6–13 | 0.00 | 3% | 7 Jun → | ||
| 0–13 | -0.10 | 0% | 7 Jun → | ||
| 13–11 | -0.06 | 6% | 27 May → | ||
| 2–13 | -0.02 | 24% | 21 May → | ||
| 7–13 | -0.03 | 27% | 21 May → | ||
| 6–13 | -0.06 | 23% | 20 May → | ||
| 13–7 | 0.04 | 18% | 20 May → | ||
| 0–13 | -0.06 | 25% | 17 May → | ||
| 8–13 | 0.00 | 32% | 17 May → | ||
| 13–10 | -0.02 | 17% | 16 May → | ||
| 13–4 | -0.01 | 3% | 16 May → | ||
| 10–13 | -0.04 | 19% | 16 May → | ||
| 1–13 | -0.10 | 38% | 15 May → | ||
| 3–13 | -0.07 | 8% | 14 May → | ||
| 13–11 | -0.07 | 19% | 14 May → | ||
| 13–11 | -0.04 | 17% | 13 May → | ||
| 5–13 | -0.02 | 24% | 12 May → | ||
| 8–13 | 0.01 | 19% | 12 May → | ||
| 8–13 | -0.03 | 19% | 31 Mar → | ||
| 4–13 | -0.05 | 31% | 19 May → | ||
| 5–13 | -0.01 | 10% | 19 May → | ||
| 4–13 | -0.09 | 22% | 19 May → | ||
| 5–13 | -0.05 | 14% | 25 Apr → | ||
| 13–9 | -0.04 | 15% | 22 Apr → | ||
| 13–6 | 0.02 | 18% | 22 Apr → | ||
| office | 8–13 | -0.01 | 22% | 2 Apr → | |
| 13–8 | 0.04 | 16% | 22 Mar → | ||
| office | 0–6 | -0.05 | 22% | 13 Mar → | |
| 13–11 | 0.02 | 21% | 13 Mar → | ||
| 11–13 | -0.04 | 12% | 24 Feb → | ||
| 6–13 | -0.06 | 9% | 6 Jan → | ||
| 12–12 | -0.01 | 22% | 5 Jan → | ||
| 4–13 | -0.04 | 13% | 5 Jan → | ||
| 4–9 | -0.16 | 14% | 4 Jan → | ||
| 9–4 | 0.14 | 17% | 4 Jan → | ||
| palais | 2–9 | -0.07 | 4% | 4 Jan → | |
| 9–0 | 0.14 | 15% | 4 Jan → | ||
| 6–13 | -0.01 | 15% | 1 Jan → | ||
| 13–6 | 0.01 | 8% | 1 Jan → | ||
| 13–8 | 0.06 | 30% | 1 Jan → | ||
| 4–13 | 0.04 | 15% | 1 Jan → | ||
| 12–12 | 0.02 | 13% | 31 Dec → | ||
| 8–1 | 0.02 | 19% | 31 Dec → | ||
| 13–7 | 0.06 | 12% | 7 Feb → | ||
| 6–13 | -0.00 | 8% | 14 Jan → | ||
| 5–13 | -0.09 | 21% | 27 Sept → | ||
| 11–13 | -0.07 | 12% | 17 Sept → | ||
| 16–10 | 0.01 | 14% | 10 Sept → | ||
| 16–2 | -0.02 | 10% | 10 Sept → | ||
| 16–4 | 0.04 | 6% | 10 Sept → | ||
| 16–6 | 0.01 | 21% | 10 Sept → | ||
| 4–13 | -0.11 | 4% | 6 Sept → | ||
| 3–13 | -0.12 | 30% | 4 Sept → | ||
| 13–7 | 0.00 | 17% | 3 Sept → | ||
| 9–13 | -0.05 | 16% | 2 Sept → | ||
| 13–8 | 0.01 | 10% | 2 Sept → | ||
| 13–10 | 0.05 | 16% | 2 Sept → | ||
| 13–2 | 0.11 | 14% | 2 Sept → | ||
| 13–10 | -0.07 | 14% | 2 Sept → | ||
| 13–8 | -0.01 | 10% | 1 Sept → | ||
| 11–13 | -0.02 | 20% | 1 Sept → | ||
| 13–5 | 0.01 | 17% | 1 Sept → | ||
| 13–10 | -0.01 | 18% | 1 Sept → | ||
| 3–16 | -0.10 | 10% | 26 Aug → | ||
| 11–16 | -0.02 | 16% | 6 Aug → | ||
| 16–11 | -0.03 | 12% | 5 Aug → | ||
| 16–7 | -0.06 | 14% | 29 Jul → | ||
| 16–7 | -0.02 | 12% | 29 Jul → | ||
| 7–9 | 0.10 | 28% | 29 Jul → | ||
| 16–3 | 0.06 | 20% | 29 Jul → | ||
| 16–9 | 0.01 | 14% | 28 Jul → | ||
| 8–8 | -0.03 | 18% | 10 Jul → | ||
| 8–8 | -0.01 | 8% | 8 Jul → | ||
| 14–16 | -0.00 | 8% | 7 Jul → | ||
| 15–15 | -0.03 | 7% | 3 Jul → | ||
| 2–9 | -0.10 | 13% | 18 Jun → | ||
| 16–6 | 0.03 | 8% | 10 Jun → | ||
| 11–16 | -0.04 | 7% | 3 May → | ||
| 16–4 | -0.02 | 6% | 3 May → | ||
| 16–12 | 0.04 | 7% | 2 May → | ||
| 11–16 | -0.01 | 8% | 22 Apr → |
Match data via Leetify.
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