bruh-_-__ — CS2 Stats
76561199059871223[U:1:1099605495]✓ 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: -20pp win rate · -0.03 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 b1t 88% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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
Areas to improve
Reaction time. 583ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 25 | 16–9 | 64% | 0.03 | |
| B | 21 | 10–11 | 48% | 0.02 | |
| C | 17 | 7–10 | 41% | 0.04 | |
| C | 14 | 6–8 | 43% | 0.00 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| D | 5 | 0–5 | 0% | -0.02 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 1 | 0–1 | 0% | 0.01 | |
| rooftop | — | 1 | 1–0 | 100% | -0.03 |
| transit | — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 360 | 52% | 0.98 | 15.7 |
| Ancient | 304 | 52% | 1.04 | 16.6 |
| Anubis | 283 | 53% | 1.02 | 16.1 |
| Inferno | 210 | 49% | 0.92 | 15.8 |
| Nuke | 132 | 45% | 0.99 | 16.6 |
| Dust2 | 105 | 45% | 0.88 | 16.0 |
| Vertigo | 65 | 49% | 0.96 | 17.3 |
| Overpass | 63 | 43% | 1.01 | 16.4 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.08 | 16% | 7 Jul → | ||
| 12–16 | -0.01 | 23% | 25 Jun → | ||
| 14–16 | 0.01 | 34% | 19 Jun → | ||
| 13–4 | 0.03 | 19% | 19 Jun → | ||
| 6–13 | 0.00 | 29% | 11 Jun → | ||
| 13–7 | -0.01 | 23% | 7 Jun → | ||
| 14–16 | 0.02 | 17% | 30 May → | ||
| 13–2 | 0.09 | 17% | 30 May → | ||
| 4–9 | -0.05 | 18% | 30 May → | ||
| 13–8 | 0.01 | 26% | 30 May → | ||
| 9–3 | 0.03 | 28% | 29 May → | ||
| 13–8 | 0.04 | 16% | 29 May → | ||
| 13–11 | 0.06 | 26% | 29 May → | ||
| 13–4 | 0.12 | 31% | 28 May → | ||
| 10–13 | 0.02 | 19% | 28 May → | ||
| 13–3 | 0.03 | 15% | 27 May → | ||
| 10–13 | -0.01 | 25% | 19 Apr → | ||
| 11–13 | -0.02 | 35% | 18 Apr → | ||
| 13–9 | 0.02 | 27% | 17 Apr → | ||
| 13–11 | 0.01 | 29% | 17 Apr → | ||
| 8–13 | -0.01 | 28% | 16 Apr → | ||
| 7–13 | -0.07 | 13% | 14 Apr → | ||
| 15–15 | -0.02 | 17% | 14 Apr → | ||
| 13–11 | 0.09 | 32% | 14 Apr → | ||
| 8–0 | 0.02 | 30% | 14 Apr → | ||
| 10–13 | 0.00 | 40% | 11 Apr → | ||
| 15–15 | -0.02 | 28% | 10 Apr → | ||
| 13–8 | 0.09 | 15% | 10 Apr → | ||
| 13–4 | 0.07 | 23% | 10 Apr → | ||
| 13–9 | 0.04 | 20% | 1 Apr → | ||
| 14–16 | 0.04 | 13% | 31 Mar → | ||
| 13–9 | 0.03 | 22% | 31 Mar → | ||
| 13–10 | -0.02 | 28% | 24 Mar → | ||
| 4–9 | -0.00 | 43% | 2 Mar → | ||
| 11–13 | -0.02 | 30% | 2 Mar → | ||
| 13–16 | 0.04 | 24% | 8 Feb → | ||
| 13–4 | 0.06 | 43% | 8 Feb → | ||
| 13–4 | 0.13 | 36% | 8 Feb → | ||
| 13–11 | 0.07 | 33% | 8 Feb → | ||
| 13–8 | 0.08 | 49% | 8 Feb → | ||
| 11–13 | 0.03 | 21% | 6 Feb → | ||
| 13–16 | 0.00 | 33% | 5 Feb → | ||
| 3–13 | -0.07 | 26% | 24 Jan → | ||
| 10–13 | 0.08 | 23% | 24 Jan → | ||
| 16–13 | 0.00 | 39% | 15 Jan → | ||
| 13–4 | 0.14 | 24% | 15 Jan → | ||
| 13–16 | 0.04 | 23% | 15 Jan → | ||
| 15–15 | 0.04 | 18% | 15 Jan → | ||
| 9–13 | 0.01 | 34% | 5 Jan → | ||
| 16–13 | 0.02 | 19% | 4 Jan → | ||
| 16–14 | 0.02 | 21% | 3 Jan → | ||
| 11–13 | -0.02 | 27% | 29 Dec → | ||
| 9–13 | -0.03 | 27% | 1 Dec → | ||
| 4–13 | -0.05 | 47% | 26 Nov → | ||
| 13–11 | -0.02 | 35% | 26 Nov → | ||
| 15–15 | 0.02 | 21% | 26 Nov → | ||
| 13–4 | -0.00 | 21% | 25 Nov → | ||
| 3–13 | -0.02 | 33% | 23 Nov → | ||
| 13–9 | 0.06 | 34% | 23 Nov → | ||
| 6–13 | -0.01 | 28% | 23 Nov → | ||
| 14–16 | 0.05 | 37% | 12 Nov → | ||
| 13–2 | -0.06 | 30% | 2 Nov → | ||
| 13–6 | 0.02 | 31% | 1 Nov → | ||
| 4–13 | 0.07 | 36% | 1 Nov → | ||
| 7–13 | 0.03 | 33% | 1 Nov → | ||
| 13–16 | 0.01 | 47% | 1 Nov → | ||
| 14–16 | 0.02 | 36% | 1 Nov → | ||
| 13–5 | 0.06 | 29% | 31 Oct → | ||
| 11–13 | 0.06 | 19% | 31 Oct → | ||
| 11–13 | 0.01 | 30% | 25 Oct → | ||
| 13–8 | -0.01 | 35% | 25 Oct → | ||
| 16–13 | 0.06 | 21% | 25 Oct → | ||
| 15–15 | 0.09 | 19% | 24 Oct → | ||
| 13–8 | 0.05 | 17% | 24 Oct → | ||
| 13–6 | 0.03 | 27% | 24 Oct → | ||
| 8–13 | -0.10 | 18% | 20 Oct → | ||
| 13–8 | 0.00 | 30% | 20 Oct → | ||
| 9–13 | -0.04 | 23% | 19 Oct → | ||
| 9–1 | 0.01 | 19% | 17 Oct → | ||
| 4–13 | 0.02 | 17% | 14 Oct → | ||
| 10–13 | -0.05 | 15% | 14 Oct → | ||
| 11–13 | -0.02 | 23% | 13 Oct → | ||
| 13–16 | 0.02 | 25% | 12 Oct → | ||
| 10–13 | 0.03 | 23% | 12 Oct → | ||
| 16–12 | 0.01 | 23% | 12 Oct → | ||
| 13–7 | 0.11 | 28% | 12 Oct → | ||
| 13–11 | 0.02 | 33% | 11 Oct → | ||
| 13–8 | -0.01 | 26% | 3 Oct → | ||
| rooftop | 9–7 | -0.03 | 23% | 3 Oct → | |
| transit | 9–3 | -0.00 | 37% | 3 Oct → | |
| 13–4 | 0.11 | 21% | 2 Oct → | ||
| 10–13 | -0.04 | 27% | 2 Oct → | ||
| 8–13 | -0.01 | 29% | 2 Oct → | ||
| 9–4 | 0.17 | 20% | 2 Oct → | ||
| 1–2 | -0.09 | 14% | 30 Sept → | ||
| 9–13 | -0.09 | 10% | 30 Sept → | ||
| 8–13 | -0.04 | 30% | 30 Sept → | ||
| 11–13 | 0.02 | 18% | 29 Sept → | ||
| 6–13 | 0.04 | 20% | 29 Sept → | ||
| 13–10 | 0.02 | 23% | 29 Sept → |
Match data via Leetify.