Brian — CS2 Stats
US76561198405427238[U:1:445161510]Steam profile ↗VAC banned
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong 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: opening-fight frequency, opening-duel success.
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 43% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 622ms 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 4.6/10 (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 |
|---|---|---|---|---|---|
| D | 22 | 5–17 | 23% | -0.04 | |
| A | 21 | 13–8 | 62% | -0.03 | |
| C | 20 | 7–13 | 35% | -0.02 | |
| B | 19 | 10–9 | 53% | -0.03 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| — | 4 | 4–0 | 100% | -0.03 | |
| — | 4 | 2–2 | 50% | -0.04 | |
| — | 3 | 2–1 | 67% | -0.05 | |
| — | 1 | 1–0 | 100% | -0.05 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Mirage 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 resultsLLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 36% | 0.72 | 11.9 |
| Dust2 | 8 | 62% | 0.86 | 14.0 |
| Inferno | 6 | 50% | 0.72 | 10.8 |
| Vertigo | 6 | 67% | 0.67 | 12.7 |
| Nuke | 4 | 25% | 0.57 | 10.0 |
| Anubis | 3 | 67% | 1.14 | 16.3 |
| Ancient | 3 | 100% | 1.53 | 18.3 |
| Overpass | 2 | 0% | 0.60 | 11.0 |
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9806 — 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 23.2656% — 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.
23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.01 | 21% | 27 Aug → | ||
| 13–7 | -0.08 | 17% | 27 Aug → | ||
| 1–10 | -0.01 | 100% | 26 Aug → | ||
| 12–12 | -0.02 | 21% | 24 Aug → | ||
| 7–13 | -0.03 | 15% | 23 Aug → | ||
| 9–13 | -0.05 | 17% | 23 Aug → | ||
| 3–13 | -0.04 | 8% | 23 Aug → | ||
| 13–11 | -0.11 | 18% | 23 Aug → | ||
| 7–0 | -0.03 | 0% | 23 Aug → | ||
| 9–13 | -0.03 | 20% | 22 Aug → | ||
| 8–13 | -0.05 | 31% | 22 Aug → | ||
| 13–8 | -0.07 | 21% | 22 Aug → | ||
| 9–13 | -0.06 | 14% | 22 Aug → | ||
| 11–13 | 0.02 | 16% | 21 Aug → | ||
| 9–1 | 0.03 | 63% | 21 Aug → | ||
| 9–13 | 0.00 | 31% | 17 Aug → | ||
| 11–13 | 0.04 | 31% | 17 Aug → | ||
| 8–13 | -0.05 | 25% | 16 Aug → | ||
| 9–4 | -0.01 | 7% | 16 Aug → | ||
| 11–13 | -0.08 | 16% | 16 Aug → | ||
| 13–9 | -0.05 | 38% | 16 Aug → | ||
| 12–12 | 0.01 | 29% | 16 Aug → | ||
| 9–13 | -0.06 | 16% | 16 Aug → | ||
| 13–2 | 0.02 | 12% | 15 Aug → | ||
| 12–12 | -0.02 | 10% | 15 Aug → | ||
| 6–13 | -0.08 | 27% | 14 Aug → | ||
| 6–13 | -0.06 | 32% | 14 Aug → | ||
| 13–3 | -0.00 | 7% | 14 Aug → | ||
| 12–16 | -0.07 | 12% | 14 Aug → | ||
| 13–9 | -0.04 | 21% | 13 Aug → | ||
| 13–10 | 0.00 | 12% | 13 Aug → | ||
| 13–8 | -0.05 | 36% | 13 Aug → | ||
| 2–8 | -0.09 | 67% | 13 Aug → | ||
| 13–10 | -0.01 | 19% | 12 Aug → | ||
| 4–13 | -0.06 | 12% | 11 Aug → | ||
| 12–12 | -0.07 | 19% | 11 Aug → | ||
| 6–13 | -0.00 | 19% | 11 Aug → | ||
| 13–5 | -0.01 | 50% | 11 Aug → | ||
| 9–13 | -0.00 | 26% | 11 Aug → | ||
| 13–5 | -0.01 | 45% | 11 Aug → | ||
| 10–13 | -0.09 | 16% | 11 Aug → | ||
| 8–13 | -0.06 | 17% | 10 Aug → | ||
| 5–1 | 0.01 | 40% | 10 Aug → | ||
| 3–13 | -0.08 | 27% | 10 Aug → | ||
| 13–4 | -0.07 | 42% | 10 Aug → | ||
| 13–2 | 0.01 | 46% | 10 Aug → | ||
| 4–13 | -0.05 | 30% | 10 Aug → | ||
| 13–4 | -0.05 | 33% | 10 Aug → | ||
| 8–13 | -0.05 | 24% | 9 Aug → | ||
| 7–13 | -0.07 | 36% | 9 Aug → | ||
| 13–5 | -0.06 | 23% | 9 Aug → | ||
| 7–13 | -0.06 | 19% | 9 Aug → | ||
| 12–12 | -0.05 | 27% | 9 Aug → | ||
| 9–7 | 0.02 | 17% | 9 Aug → | ||
| 9–3 | 0.12 | 36% | 9 Aug → | ||
| 12–12 | -0.03 | 22% | 9 Aug → | ||
| 8–13 | -0.04 | 17% | 9 Aug → | ||
| 9–13 | -0.02 | 20% | 9 Aug → | ||
| 13–5 | 0.02 | 26% | 9 Aug → | ||
| 4–13 | -0.07 | 14% | 8 Aug → | ||
| 13–11 | -0.03 | 34% | 8 Aug → | ||
| 13–6 | -0.06 | 18% | 8 Aug → | ||
| 13–11 | -0.10 | 26% | 8 Aug → | ||
| 13–4 | -0.08 | 11% | 8 Aug → | ||
| 13–6 | -0.02 | 26% | 8 Aug → | ||
| 13–11 | -0.06 | 23% | 8 Aug → | ||
| 2–9 | -0.09 | 16% | 8 Aug → | ||
| 13–7 | 0.03 | 30% | 8 Aug → | ||
| 8–13 | -0.05 | 18% | 8 Aug → | ||
| 13–16 | -0.06 | 26% | 8 Aug → | ||
| 13–9 | -0.03 | 31% | 8 Aug → | ||
| 13–9 | 0.02 | 32% | 8 Aug → | ||
| 10–13 | -0.02 | 24% | 8 Aug → | ||
| 13–4 | 0.01 | 18% | 8 Aug → | ||
| 13–2 | -0.06 | 32% | 8 Aug → | ||
| 5–13 | -0.06 | 25% | 7 Aug → | ||
| 12–12 | -0.08 | 22% | 4 Aug → | ||
| 7–13 | -0.05 | 13% | 4 Aug → | ||
| 13–11 | 0.05 | 22% | 4 Aug → | ||
| 7–13 | 0.04 | 13% | 4 Aug → | ||
| 11–13 | -0.02 | 20% | 4 Aug → | ||
| 9–13 | -0.03 | 22% | 3 Aug → | ||
| 13–7 | -0.05 | 29% | 3 Aug → | ||
| 9–6 | -0.10 | 26% | 3 Aug → | ||
| 2–9 | -0.18 | 19% | 3 Aug → | ||
| 2–4 | 0.10 | 33% | 3 Aug → | ||
| 7–13 | -0.07 | 24% | 3 Aug → | ||
| 3–13 | -0.07 | 31% | 2 Aug → | ||
| 4–13 | -0.05 | 18% | 2 Aug → | ||
| 13–10 | -0.02 | 22% | 2 Aug → | ||
| 10–13 | 0.06 | 32% | 2 Aug → | ||
| 4–13 | -0.05 | 20% | 1 Aug → | ||
| 13–9 | 0.01 | 40% | 1 Aug → | ||
| 13–11 | -0.02 | 6% | 31 Jul → | ||
| 13–10 | 0.03 | 22% | 31 Jul → | ||
| 13–8 | 0.02 | 21% | 30 Jul → | ||
| 13–6 | 0.01 | 29% | 30 Jul → | ||
| 13–9 | -0.03 | 25% | 29 Jul → | ||
| 16–12 | -0.06 | 14% | 28 Jul → | ||
| 13–11 | -0.02 | 24% | 28 Jul → |
Match data via Leetify.