-Black_Cobra — CS2 Stats
76561197968302049[U:1:8036321]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Effective flashes
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 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; 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
Flashes. 0.80 enemies blinded per flash — utility that consistently lands.
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 5.1/10 (Developing), 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 |
|---|---|---|---|---|---|
| A | 25 | 16–9 | 64% | 0.02 | |
| S | 20 | 16–4 | 80% | 0.03 | |
| B | 17 | 8–9 | 47% | 0.02 | |
| D | 16 | 4–12 | 25% | 0.00 | |
| A | 11 | 7–4 | 64% | 0.02 | |
| C | 5 | 2–3 | 40% | 0.01 | |
| — | 3 | 0–3 | 0% | -0.04 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| sanctum | — | 1 | 1–0 | 100% | 0.10 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Nuke | 359 | 57% | 1.28 | 16.8 |
| Inferno | 356 | 47% | 1.17 | 16.3 |
| Mirage | 341 | 43% | 1.14 | 15.7 |
| Ancient | 308 | 50% | 1.22 | 17.3 |
| Dust2 | 293 | 52% | 1.23 | 16.4 |
| Overpass | 60 | 45% | 1.25 | 17.4 |
| Train | 31 | 55% | 1.08 | 15.7 |
| Vertigo | 29 | 41% | 1.17 | 17.1 |
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 12.6261% — 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 25.0763% — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.02 | 7% | 28 Aug → | ||
| 6–13 | 0.02 | 18% | 26 Aug → | ||
| 11–13 | 0.01 | 15% | 24 Aug → | ||
| 11–13 | 0.02 | 6% | 24 Aug → | ||
| 12–16 | 0.09 | 12% | 24 Aug → | ||
| 4–13 | -0.08 | 11% | 22 Aug → | ||
| 13–9 | 0.04 | 8% | 22 Aug → | ||
| 13–7 | 0.03 | 15% | 22 Aug → | ||
| 10–13 | -0.02 | 21% | 21 Aug → | ||
| 13–6 | 0.03 | 16% | 21 Aug → | ||
| 13–11 | 0.07 | 15% | 21 Aug → | ||
| 8–13 | -0.08 | 5% | 20 Aug → | ||
| 13–11 | 0.01 | 11% | 20 Aug → | ||
| 9–13 | 0.04 | 16% | 19 Aug → | ||
| 13–10 | 0.05 | 11% | 19 Aug → | ||
| 13–6 | 0.02 | 13% | 18 Aug → | ||
| 13–2 | 0.01 | 14% | 18 Aug → | ||
| 13–10 | 0.09 | 12% | 18 Aug → | ||
| 8–13 | -0.01 | 7% | 12 Aug → | ||
| 13–11 | 0.06 | 13% | 11 Aug → | ||
| 9–13 | 0.02 | 7% | 11 Aug → | ||
| 14–16 | -0.04 | 16% | 10 Aug → | ||
| 13–9 | 0.05 | 18% | 10 Aug → | ||
| 6–13 | -0.11 | 15% | 10 Aug → | ||
| 8–13 | -0.03 | 18% | 10 Aug → | ||
| 13–10 | 0.05 | 15% | 10 Aug → | ||
| 5–13 | -0.02 | 6% | 4 Aug → | ||
| 6–13 | 0.00 | 7% | 4 Aug → | ||
| 3–13 | -0.04 | 13% | 4 Aug → | ||
| 15–19 | -0.04 | 14% | 2 Aug → | ||
| 4–13 | -0.08 | 6% | 2 Aug → | ||
| 13–10 | 0.10 | 17% | 2 Aug → | ||
| 8–13 | 0.01 | 21% | 2 Aug → | ||
| 13–6 | 0.02 | 5% | 22 Jul → | ||
| 13–11 | 0.03 | 16% | 22 Jul → | ||
| 3–13 | -0.02 | 17% | 22 Jul → | ||
| 13–11 | 0.04 | 17% | 22 Jul → | ||
| 13–10 | 0.07 | 7% | 20 Jul → | ||
| 13–8 | 0.04 | 12% | 20 Jul → | ||
| 13–7 | 0.08 | 21% | 20 Jul → | ||
| 5–13 | -0.02 | 29% | 17 Jul → | ||
| 13–4 | 0.07 | 19% | 17 Jul → | ||
| 13–7 | 0.12 | 16% | 17 Jul → | ||
| 10–13 | -0.05 | 3% | 10 Jul → | ||
| 8–13 | -0.00 | 9% | 10 Jul → | ||
| 13–11 | -0.02 | 15% | 21 Apr → | ||
| 16–13 | 0.06 | 20% | 21 Apr → | ||
| 16–14 | 0.05 | 15% | 21 Apr → | ||
| 13–9 | 0.03 | 14% | 19 Apr → | ||
| 13–8 | -0.02 | 23% | 19 Apr → | ||
| 13–9 | -0.03 | 16% | 19 Apr → | ||
| 13–10 | 0.01 | 0% | 18 Apr → | ||
| 13–11 | 0.05 | 11% | 18 Apr → | ||
| 2–13 | -0.04 | 10% | 18 Apr → | ||
| 13–8 | 0.04 | 9% | 18 Apr → | ||
| 10–13 | 0.01 | 12% | 18 Apr → | ||
| 13–16 | 0.01 | 18% | 18 Apr → | ||
| 14–16 | 0.03 | 13% | 17 Apr → | ||
| 3–13 | 0.03 | 13% | 12 Apr → | ||
| 5–13 | -0.01 | 4% | 10 Apr → | ||
| 13–6 | 0.18 | 14% | 10 Apr → | ||
| 13–11 | -0.03 | 10% | 5 Apr → | ||
| 13–9 | 0.01 | 9% | 5 Apr → | ||
| 11–13 | -0.04 | 20% | 5 Apr → | ||
| 13–7 | 0.08 | 8% | 5 Apr → | ||
| 7–13 | 0.02 | 10% | 5 Apr → | ||
| 11–13 | 0.03 | 7% | 4 Apr → | ||
| 13–10 | 0.04 | 12% | 4 Apr → | ||
| 13–6 | 0.01 | 14% | 3 Apr → | ||
| 13–6 | -0.03 | 19% | 3 Apr → | ||
| 8–8 | 0.02 | 8% | 1 Apr → | ||
| sanctum | 9–3 | 0.10 | 10% | 1 Apr → | |
| 11–13 | -0.02 | 12% | 31 Mar → | ||
| 11–13 | 0.00 | 16% | 31 Mar → | ||
| 13–11 | 0.01 | 20% | 30 Mar → | ||
| 13–10 | 0.06 | 9% | 30 Mar → | ||
| 13–9 | 0.05 | 11% | 30 Mar → | ||
| 13–4 | -0.03 | 8% | 29 Mar → | ||
| 13–4 | 0.04 | 25% | 29 Mar → | ||
| 13–6 | 0.04 | 7% | 29 Mar → | ||
| 9–13 | -0.02 | 18% | 29 Mar → | ||
| 4–13 | 0.01 | 15% | 28 Mar → | ||
| 13–11 | 0.04 | 8% | 28 Mar → | ||
| 13–11 | 0.04 | 8% | 28 Mar → | ||
| 13–8 | -0.00 | 9% | 28 Mar → | ||
| 6–13 | 0.03 | 16% | 27 Mar → | ||
| 5–13 | 0.04 | 13% | 21 Mar → | ||
| 13–7 | 0.10 | 15% | 21 Mar → | ||
| 13–16 | -0.01 | 10% | 21 Mar → | ||
| 13–7 | 0.03 | 21% | 20 Mar → | ||
| 9–13 | 0.06 | 16% | 20 Mar → | ||
| 14–16 | -0.00 | 17% | 20 Mar → | ||
| 13–9 | 0.09 | 6% | 19 Mar → | ||
| 11–13 | 0.02 | 13% | 19 Mar → | ||
| 13–4 | 0.09 | 16% | 17 Mar → | ||
| 9–13 | 0.04 | 19% | 17 Mar → | ||
| 13–10 | -0.03 | 8% | 17 Mar → | ||
| 13–9 | -0.01 | 11% | 17 Mar → | ||
| 13–10 | 0.06 | 10% | 16 Mar → | ||
| 13–7 | -0.01 | 8% | 16 Mar → |
Match data via Leetify.
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