BlackOut — CS2 Stats
US76561197960268765[U:1:3037]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.07 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side openerLimited 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: aim profile, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 45 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.
T-side openings. Opening success drops from 40% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
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 5.5/10 (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 | 17 | 9–8 | 53% | 0.01 | |
| C | 17 | 6–11 | 35% | 0.02 | |
| C | 14 | 5–9 | 36% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| office | D | 8 | 2–6 | 25% | 0.02 |
| C | 8 | 3–5 | 38% | 0.02 | |
| — | 4 | 2–2 | 50% | -0.03 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 3 | 3–0 | 100% | 0.04 | |
| — | 3 | 3–0 | 100% | 0.05 | |
| warden | — | 1 | 0–1 | 0% | 0.02 |
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 resultsLLLWL
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 0.1506 — 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 23.3648% — 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.
35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.06 | 22% | 26 Aug → | ||
| 13–9 | -0.01 | 14% | 26 Aug → | ||
| 0–3 | -0.01 | 29% | 26 Aug → | ||
| 13–9 | -0.06 | 27% | 19 Aug → | ||
| 13–8 | 0.03 | 24% | 27 Jul → | ||
| 13–9 | 0.04 | 19% | 27 Jul → | ||
| 2–13 | -0.03 | 16% | 27 Jul → | ||
| 0–13 | -0.12 | 27% | 26 Jul → | ||
| 11–13 | 0.01 | 25% | 25 Jul → | ||
| 13–10 | 0.02 | 24% | 24 Jul → | ||
| 13–11 | 0.02 | 16% | 22 Jul → | ||
| 13–3 | 0.01 | 25% | 22 Jul → | ||
| 2–5 | 0.11 | 50% | 20 Jul → | ||
| 8–0 | 0.13 | 24% | 19 Jul → | ||
| 10–13 | 0.07 | 29% | 15 Jul → | ||
| 13–2 | 0.12 | 24% | 13 Jul → | ||
| 13–10 | 0.04 | 23% | 12 Jul → | ||
| 10–13 | 0.03 | 24% | 11 Jul → | ||
| 9–13 | 0.01 | 37% | 10 Jul → | ||
| office | 7–13 | 0.01 | 23% | 10 Jul → | |
| office | 6–13 | -0.07 | 35% | 8 Jul → | |
| office | 10–13 | -0.03 | 32% | 8 Jul → | |
| 13–10 | 0.04 | 14% | 1 Jul → | ||
| 5–13 | 0.04 | 28% | 1 Jul → | ||
| 13–8 | -0.05 | 15% | 1 Jul → | ||
| 13–11 | 0.02 | 17% | 24 Jun → | ||
| office | 12–12 | 0.10 | 47% | 24 Jun → | |
| 2–13 | -0.04 | 22% | 24 Jun → | ||
| 13–6 | 0.05 | 21% | 17 Jun → | ||
| 6–13 | -0.03 | 29% | 17 Jun → | ||
| 4–13 | -0.03 | 30% | 17 Jun → | ||
| 6–13 | 0.03 | 18% | 13 Jun → | ||
| 13–7 | -0.06 | 12% | 12 Jun → | ||
| 7–13 | 0.07 | 21% | 10 Jun → | ||
| 13–6 | 0.07 | 19% | 8 Jun → | ||
| 9–13 | 0.07 | 21% | 3 Jun → | ||
| 7–13 | 0.01 | 13% | 3 Jun → | ||
| 13–8 | 0.07 | 13% | 3 Jun → | ||
| 13–9 | -0.05 | 10% | 27 May → | ||
| 13–11 | 0.05 | 34% | 22 May → | ||
| 13–8 | 0.02 | 16% | 20 May → | ||
| 13–9 | -0.06 | 30% | 20 May → | ||
| 13–11 | 0.02 | 31% | 18 May → | ||
| 13–11 | -0.02 | 15% | 18 May → | ||
| 12–12 | -0.01 | 16% | 17 May → | ||
| 4–13 | -0.04 | 15% | 17 May → | ||
| 12–12 | -0.02 | 17% | 17 May → | ||
| 3–13 | -0.04 | 18% | 17 May → | ||
| 11–13 | 0.00 | 13% | 17 May → | ||
| 13–2 | 0.04 | 33% | 17 May → | ||
| 13–1 | -0.03 | 45% | 17 May → | ||
| 4–13 | -0.03 | 20% | 16 May → | ||
| 6–13 | 0.01 | 24% | 16 May → | ||
| 13–10 | -0.02 | 14% | 16 May → | ||
| 13–10 | 0.03 | 24% | 16 May → | ||
| 6–13 | 0.01 | 24% | 16 May → | ||
| 5–13 | -0.02 | 26% | 15 May → | ||
| office | 12–12 | 0.07 | 28% | 13 May → | |
| 10–13 | 0.03 | 16% | 6 May → | ||
| 12–12 | -0.10 | 33% | 6 May → | ||
| 13–10 | 0.02 | 28% | 6 May → | ||
| 13–7 | 0.11 | 35% | 1 May → | ||
| 13–2 | 0.04 | 27% | 29 Apr → | ||
| 12–12 | 0.02 | 22% | 29 Apr → | ||
| 10–13 | -0.04 | 30% | 29 Apr → | ||
| 12–12 | 0.00 | 29% | 29 Apr → | ||
| 3–6 | 0.09 | 22% | 26 Apr → | ||
| 9–13 | 0.06 | 17% | 26 Apr → | ||
| 10–1 | 0.07 | 30% | 25 Apr → | ||
| 13–9 | 0.03 | 18% | 25 Apr → | ||
| 0–4 | -0.04 | 0% | 22 Apr → | ||
| 13–8 | 0.10 | 16% | 22 Apr → | ||
| 12–16 | -0.02 | 17% | 21 Apr → | ||
| 13–5 | -0.08 | 18% | 21 Apr → | ||
| 10–13 | 0.06 | 18% | 21 Apr → | ||
| 4–13 | -0.02 | 21% | 15 Apr → | ||
| office | 12–12 | 0.07 | 31% | 15 Apr → | |
| 13–5 | 0.09 | 20% | 15 Apr → | ||
| 13–10 | 0.01 | 26% | 15 Apr → | ||
| warden | 9–13 | 0.02 | 21% | 13 Apr → | |
| 12–12 | 0.08 | 17% | 13 Apr → | ||
| 4–13 | -0.04 | 12% | 13 Apr → | ||
| 6–13 | -0.00 | 25% | 13 Apr → | ||
| 3–13 | -0.10 | 14% | 13 Apr → | ||
| 7–13 | 0.06 | 16% | 13 Apr → | ||
| 10–13 | -0.03 | 24% | 13 Apr → | ||
| 13–6 | 0.02 | 24% | 12 Apr → | ||
| 13–7 | 0.03 | 32% | 12 Apr → | ||
| 6–13 | -0.06 | 14% | 12 Apr → | ||
| 13–2 | 0.15 | 16% | 11 Apr → | ||
| 8–13 | -0.05 | 13% | 11 Apr → | ||
| 13–9 | 0.02 | 7% | 10 Apr → | ||
| office | 13–11 | 0.01 | 21% | 10 Apr → | |
| 1–13 | -0.11 | 7% | 10 Apr → | ||
| office | 13–8 | -0.02 | 26% | 10 Apr → | |
| 13–9 | 0.00 | 16% | 10 Apr → | ||
| 7–13 | -0.03 | 21% | 10 Apr → | ||
| 13–7 | 0.04 | 15% | 8 Apr → | ||
| 13–8 | 0.03 | 21% | 8 Apr → | ||
| 9–13 | -0.01 | 14% | 8 Apr → |
Match data via Leetify.