brick. — CS2 Stats
76561198128987963[U:1:168722235]Steam profile ↗
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: +30pp win rate · +0.01 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Strong CT-side openerEffective flashesReliable in 1v1s
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 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Flashes. 0.83 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 61% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 574ms 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 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 97 | 44–53 | 45% | 0.01 |
 train | — | 2 | 1–1 | 50% | -0.02 |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 4 | 75% | 0.73 | 10.3 |
| Dust2 | 3 | 100% | 1.76 | 18.7 |
| Ancient | 1 | 100% | 3.50 | 21.0 |
| Train | 1 | 100% | 2.73 | 30.0 |
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.
- 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 15.8828% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 13–4 | 0.14 | 14% | 27 Aug → | |
| dust2 | 9–13 | -0.02 | 23% | 22 Aug → | |
| dust2 | 3–12 | -0.05 | 25% | 14 Jul → | |
| dust2 | 8–13 | -0.03 | 13% | 5 Jul → | |
| dust2 | 13–8 | -0.01 | 22% | 3 Jul → | |
| dust2 | 13–5 | -0.03 | 13% | 28 Jun → | |
| dust2 | 13–8 | 0.05 | 22% | 27 Jun → | |
| dust2 | 13–7 | 0.05 | 19% | 27 Jun → | |
| dust2 | 10–13 | 0.03 | 7% | 22 May → | |
| dust2 | 13–7 | 0.17 | 26% | 21 May → | |
| dust2 | 7–13 | -0.03 | 0% | 28 Apr → | |
| dust2 | 8–13 | 0.05 | 21% | 23 Apr → | |
| dust2 | 3–13 | -0.04 | 0% | 22 Apr → | |
| dust2 | 2–3 | 0.07 | 33% | 21 Apr → | |
| dust2 | 6–13 | 0.03 | 41% | 21 Apr → | |
| dust2 | 13–6 | 0.03 | 11% | 17 Apr → | |
| dust2 | 13–10 | 0.06 | 14% | 16 Apr → | |
| dust2 | 10–13 | 0.08 | 20% | 10 Apr → | |
| dust2 | 3–13 | -0.07 | 50% | 8 Apr → | |
| dust2 | 13–10 | 0.00 | 5% | 7 Apr → | |
| dust2 | 13–8 | 0.07 | 42% | 7 Apr → | |
| dust2 | 11–13 | -0.01 | 10% | 3 Apr → | |
| dust2 | 2–9 | 0.02 | 10% | 3 Apr → | |
| dust2 | 13–6 | 0.05 | 20% | 2 Apr → | |
| dust2 | 13–10 | -0.03 | 14% | 2 Apr → | |
| dust2 | 11–13 | 0.05 | 26% | 1 Apr → | |
| dust2 | 13–9 | 0.02 | 26% | 1 Apr → | |
| dust2 | 8–13 | -0.04 | 4% | 31 Mar → | |
| dust2 | 11–13 | 0.00 | 27% | 27 Mar → | |
| dust2 | 13–7 | 0.05 | 19% | 27 Mar → | |
| dust2 | 9–13 | 0.03 | 23% | 26 Mar → | |
| dust2 | 7–13 | -0.05 | 23% | 24 Mar → | |
| dust2 | 9–13 | 0.07 | 29% | 22 Mar → | |
| dust2 | 13–8 | -0.07 | 30% | 19 Mar → | |
| poseidon | 4–9 | -0.09 | 7% | 19 Mar → | |
| dust2 | 7–13 | -0.04 | 25% | 18 Mar → | |
| dust2 | 13–9 | 0.03 | 18% | 16 Mar → | |
| dust2 | 0–13 | -0.06 | 0% | 13 Mar → | |
| dust2 | 13–8 | 0.15 | 30% | 13 Mar → | |
| dust2 | 13–10 | 0.09 | 13% | 12 Mar → | |
| dust2 | 13–8 | -0.03 | 21% | 5 Mar → | |
| dust2 | 13–7 | 0.02 | 13% | 5 Mar → | |
| dust2 | 2–13 | -0.08 | 8% | 4 Mar → | |
| dust2 | 13–11 | 0.05 | 21% | 4 Mar → | |
| dust2 | 9–13 | 0.03 | 11% | 3 Mar → | |
| dust2 | 10–13 | -0.03 | 18% | 3 Mar → | |
| dust2 | 13–11 | 0.06 | 19% | 3 Mar → | |
| dust2 | 12–12 | 0.03 | 45% | 27 Feb → | |
| dust2 | 8–13 | -0.02 | 18% | 13 Feb → | |
| dust2 | 13–6 | 0.05 | 37% | 28 Jan → | |
| dust2 | 0–13 | -0.04 | 13% | 24 Jan → | |
| dust2 | 13–5 | 0.06 | 27% | 23 Jan → | |
| dust2 | 12–12 | 0.00 | 14% | 14 Jan → | |
| dust2 | 3–13 | -0.00 | 21% | 13 Jan → | |
| dust2 | 13–4 | -0.01 | 10% | 11 Jan → | |
| dust2 | 2–13 | -0.05 | 33% | 24 Dec → | |
| dust2 | 12–12 | 0.01 | 17% | 9 Dec → | |
| dust2 | 13–7 | 0.04 | 35% | 7 Dec → | |
| dust2 | 0–2 | -0.11 | 0% | 7 Dec → | |
| dust2 | 13–5 | 0.04 | 18% | 7 Dec → | |
| dust2 | 0–10 | 0.01 | 29% | 7 Dec → | |
| dust2 | 13–11 | -0.02 | 29% | 7 Dec → | |
| dust2 | 9–13 | 0.03 | 30% | 5 Dec → | |
| dust2 | 13–7 | -0.02 | 26% | 4 Dec → | |
| dust2 | 1–13 | -0.08 | 14% | 4 Dec → | |
| dust2 | 12–12 | 0.02 | 13% | 29 Nov → | |
| dust2 | 13–5 | 0.06 | 12% | 29 Nov → | |
| dust2 | 5–13 | -0.01 | 23% | 29 Nov → | |
| dust2 | 13–6 | 0.06 | 37% | 26 Nov → | |
| dust2 | 4–11 | -0.00 | 5% | 26 Nov → | |
| dust2 | 3–13 | 0.00 | 23% | 25 Nov → | |
| dust2 | 5–13 | -0.06 | 0% | 20 Nov → | |
| dust2 | 13–5 | 0.08 | 6% | 20 Nov → | |
| dust2 | 12–12 | 0.02 | 26% | 13 Nov → | |
| dust2 | 13–7 | 0.04 | 17% | 3 Nov → | |
| dust2 | 12–12 | -0.02 | 15% | 3 Nov → | |
| dust2 | 13–1 | 0.08 | 41% | 3 Nov → | |
| dust2 | 13–6 | -0.00 | 20% | 31 Oct → | |
| dust2 | 10–13 | 0.00 | 27% | 27 Oct → | |
| train | 8–13 | -0.07 | 14% | 26 Oct → | |
| train | 13–10 | 0.03 | 13% | 26 Oct → | |
| dust2 | 13–10 | -0.03 | 14% | 26 Oct → | |
| dust2 | 0–9 | -0.08 | 15% | 26 Oct → | |
| dust2 | 13–7 | 0.04 | 33% | 24 Oct → | |
| dust2 | 5–13 | -0.04 | 16% | 6 Oct → | |
| dust2 | 2–13 | 0.03 | 0% | 6 Oct → | |
| dust2 | 8–13 | 0.03 | 24% | 6 Oct → | |
| dust2 | 13–10 | 0.00 | 20% | 6 Oct → | |
| dust2 | 7–13 | 0.03 | 33% | 6 Oct → | |
| dust2 | 13–5 | 0.05 | 22% | 6 Oct → | |
| dust2 | 2–13 | -0.06 | 20% | 6 Oct → | |
| dust2 | 13–2 | 0.15 | 20% | 6 Oct → | |
| dust2 | 13–0 | 0.04 | 19% | 5 Oct → | |
| dust2 | 13–10 | 0.05 | 24% | 5 Oct → | |
| dust2 | 8–13 | 0.01 | 20% | 5 Oct → | |
| dust2 | 12–12 | 0.07 | 16% | 5 Oct → | |
| dust2 | 13–6 | 0.09 | 21% | 3 Oct → | |
| dust2 | 10–13 | -0.06 | 9% | 1 Oct → | |
| dust2 | 13–9 | 0.03 | 23% | 1 Oct → | |
| dust2 | 7–13 | -0.09 | 50% | 1 Oct → |
Match data via Leetify.