brotha — CS2 Stats
NG76561199402140090[U:1:1441874362]Steam profile ↗
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Pink band median | vs Pink band |
|---|---|---|---|
| Headshot rate | 64.3% | 48.1% | above |
| Shot accuracy | 0.8% | 12.9% | 12.1% short |
| Kill/death ratio | 1.06 | 1.08 | 0.03 short |
| Match win rate | 49.3% | 46.5% | above |
This profile matches the typical Pink band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.04 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 sh1ro 89% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
Reaction time. 626ms 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 6.4/10 (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 |
|---|---|---|---|---|---|
 dust2 | B | 23 | 11–12 | 48% | 0.03 |
 mirage | A | 17 | 10–7 | 59% | 0.01 |
 ancient | B | 16 | 8–8 | 50% | 0.01 |
 cache | A | 13 | 8–5 | 62% | 0.04 |
 inferno | A | 11 | 6–5 | 55% | 0.01 |
 nuke | S | 8 | 6–2 | 75% | 0.02 |
 overpass | — | 4 | 2–2 | 50% | 0.01 |
 anubis | — | 3 | 0–3 | 0% | -0.02 |
| office | — | 2 | 2–0 | 100% | 0.12 |
 train | — | 2 | 1–1 | 50% | 0.04 |
 vertigo | — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (48% over 23). Start with the 6 essential Dust 2 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.
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.
48% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–10 | 0.05 | 28% | 22 Aug → | |
| mirage | 13–6 | 0.02 | 15% | 22 Aug → | |
| inferno | 13–10 | -0.00 | 26% | 22 Aug → | |
| ancient | 13–8 | 0.06 | 17% | 21 Aug → | |
| nuke | 13–10 | 0.04 | 28% | 21 Aug → | |
| cache | 13–4 | 0.19 | 27% | 21 Aug → | |
| mirage | 13–2 | 0.08 | 21% | 21 Aug → | |
| dust2 | 11–13 | 0.07 | 27% | 8 Aug → | |
| cache | 13–5 | 0.10 | 19% | 8 Aug → | |
| cache | 13–4 | 0.06 | 13% | 8 Aug → | |
| dust2 | 7–13 | 0.09 | 19% | 7 Aug → | |
| dust2 | 13–6 | 0.03 | 34% | 1 Aug → | |
| ancient | 13–5 | 0.05 | 21% | 1 Aug → | |
| dust2 | 13–8 | 0.10 | 19% | 1 Aug → | |
| inferno | 5–13 | -0.00 | 20% | 23 Jul → | |
| cache | 7–13 | -0.08 | 8% | 23 Jul → | |
| mirage | 13–6 | -0.03 | 27% | 17 Jul → | |
| cache | 13–5 | 0.08 | 14% | 15 Jul → | |
| ancient | 16–12 | 0.06 | 25% | 15 Jul → | |
| inferno | 13–10 | 0.03 | 32% | 11 Jul → | |
| nuke | 9–13 | 0.01 | 15% | 11 Jul → | |
| cache | 9–13 | -0.03 | 14% | 11 Jul → | |
| dust2 | 13–5 | 0.04 | 19% | 11 Jul → | |
| ancient | 13–4 | 0.02 | 27% | 11 Jul → | |
| office | 13–2 | 0.08 | 15% | 11 Jul → | |
| ancient | 14–16 | -0.06 | 16% | 10 Jul → | |
| office | 13–2 | 0.16 | 40% | 10 Jul → | |
| inferno | 13–11 | -0.02 | 15% | 10 Jul → | |
| ancient | 9–13 | -0.02 | 29% | 9 Jul → | |
| dust2 | 7–13 | -0.09 | 36% | 9 Jul → | |
| dust2 | 4–13 | 0.00 | 22% | 13 Jun → | |
| dust2 | 6–13 | 0.02 | 39% | 6 Jun → | |
| ancient | 13–9 | -0.02 | 15% | 6 Jun → | |
| inferno | 13–3 | 0.03 | 32% | 6 Jun → | |
| dust2 | 13–2 | 0.09 | 27% | 6 Jun → | |
| mirage | 13–5 | 0.02 | 15% | 6 Jun → | |
| vertigo | 6–13 | -0.05 | 19% | 6 Jun → | |
| dust2 | 13–7 | -0.02 | 23% | 5 Jun → | |
| ancient | 13–7 | -0.03 | 19% | 5 Jun → | |
| dust2 | 13–7 | 0.09 | 21% | 5 Jun → | |
| dust2 | 5–13 | 0.00 | 38% | 30 May → | |
| inferno | 5–13 | 0.02 | 22% | 30 May → | |
| anubis | 13–16 | -0.05 | 15% | 22 May → | |
| dust2 | 11–13 | 0.02 | 38% | 20 May → | |
| overpass | 13–9 | -0.00 | 20% | 16 May → | |
| inferno | 13–5 | -0.02 | 20% | 14 May → | |
| ancient | 15–15 | 0.01 | 21% | 14 May → | |
| mirage | 13–7 | 0.02 | 39% | 14 May → | |
| ancient | 9–13 | 0.00 | 24% | 12 May → | |
| ancient | 13–7 | 0.01 | 17% | 12 May → | |
| overpass | 13–4 | 0.06 | 8% | 12 May → | |
| dust2 | 11–13 | 0.04 | 23% | 9 May → | |
| mirage | 5–13 | 0.06 | 23% | 9 May → | |
| inferno | 8–13 | -0.01 | 20% | 9 May → | |
| cache | 13–8 | 0.01 | 24% | 7 May → | |
| cache | 9–13 | 0.03 | 24% | 7 May → | |
| mirage | 13–7 | 0.10 | 33% | 7 May → | |
| nuke | 13–8 | -0.00 | 26% | 7 May → | |
| dust2 | 13–6 | 0.03 | 10% | 7 May → | |
| nuke | 16–12 | -0.02 | 21% | 5 May → | |
| anubis | 9–13 | 0.00 | 22% | 5 May → | |
| mirage | 13–5 | 0.01 | 24% | 5 May → | |
| dust2 | 13–8 | 0.03 | 18% | 5 May → | |
| overpass | 7–13 | -0.02 | 26% | 5 May → | |
| nuke | 13–10 | 0.08 | 14% | 5 May → | |
| nuke | 16–13 | 0.03 | 18% | 5 May → | |
| mirage | 13–8 | 0.04 | 16% | 3 May → | |
| inferno | 13–9 | 0.03 | 13% | 2 May → | |
| nuke | 15–15 | 0.07 | 28% | 1 May → | |
| ancient | 10–13 | -0.01 | 22% | 1 May → | |
| dust2 | 13–10 | 0.04 | 18% | 1 May → | |
| cache | 13–10 | 0.02 | 30% | 30 Apr → | |
| cache | 7–13 | 0.03 | 16% | 30 Apr → | |
| overpass | 11–13 | 0.01 | 25% | 30 Apr → | |
| cache | 13–3 | 0.06 | 15% | 29 Apr → | |
| mirage | 6–13 | -0.06 | 12% | 29 Apr → | |
| dust2 | 13–10 | -0.02 | 20% | 29 Apr → | |
| mirage | 11–13 | 0.04 | 12% | 29 Apr → | |
| dust2 | 11–13 | -0.01 | 26% | 29 Apr → | |
| cache | 10–13 | 0.11 | 17% | 29 Apr → | |
| cache | 13–9 | -0.00 | 18% | 29 Apr → | |
| anubis | 9–13 | 0.00 | 18% | 25 Apr → | |
| mirage | 16–14 | 0.02 | 22% | 25 Apr → | |
| mirage | 10–13 | -0.00 | 16% | 25 Apr → | |
| ancient | 13–11 | 0.02 | 19% | 25 Apr → | |
| ancient | 6–13 | 0.02 | 24% | 25 Apr → | |
| nuke | 13–5 | -0.01 | 26% | 25 Apr → | |
| mirage | 8–13 | 0.00 | 19% | 25 Apr → | |
| mirage | 7–13 | -0.00 | 23% | 25 Apr → | |
| dust2 | 10–13 | -0.02 | 26% | 24 Apr → | |
| dust2 | 11–13 | 0.08 | 21% | 24 Apr → | |
| train | 13–9 | 0.07 | 17% | 23 Apr → | |
| mirage | 13–9 | -0.03 | 28% | 23 Apr → | |
| inferno | 8–13 | 0.02 | 18% | 23 Apr → | |
| train | 11–13 | 0.01 | 15% | 23 Apr → | |
| inferno | 15–15 | 0.04 | 22% | 22 Apr → | |
| ancient | 2–13 | -0.05 | 26% | 22 Apr → | |
| ancient | 7–13 | 0.09 | 26% | 21 Apr → | |
| mirage | 2–13 | -0.05 | 30% | 21 Apr → | |
| dust2 | 8–13 | -0.01 | 22% | 21 Apr → |
Match data via Leetify.
