Brookseth — CS2 Stats
76561198354316129[U:1:394050401]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.01 avg rating
Player DNA
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 device 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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
Strengths
CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 66% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 566ms 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 5.1/10 (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 |
|---|---|---|---|---|---|
 ancient | A | 22 | 12–10 | 55% | 0.03 |
 nuke | B | 19 | 10–9 | 53% | 0.02 |
 inferno | C | 16 | 7–9 | 44% | 0.03 |
 cache | S | 11 | 8–3 | 73% | 0.01 |
 mirage | A | 11 | 6–5 | 55% | 0.02 |
 dust2 | D | 11 | 3–8 | 27% | -0.01 |
 anubis | D | 7 | 1–6 | 14% | 0.00 |
 vertigo | — | 2 | 1–1 | 50% | 0.02 |
| debris | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 23 | 26% | 1.10 | 15.4 |
| Nuke | 22 | 36% | 1.08 | 16.9 |
| Cache | 17 | 53% | 1.37 | 18.8 |
| Ancient | 16 | 31% | 0.90 | 16.1 |
| Mirage | 12 | 33% | 0.88 | 13.1 |
| Anubis | 11 | 64% | 1.12 | 18.4 |
| Overpass | 4 | 75% | 0.96 | 15.8 |
| Inferno | 2 | 0% | 1.22 | 19.5 |
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 3.505 — 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 37.0827% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| ancient | 13–16 | -0.04 | 16% | 29 Aug → | |
| cache | 8–13 | -0.00 | 29% | 29 Aug → | |
| mirage | 9–5 | 0.02 | 25% | 28 Aug → | |
| ancient | 13–5 | 0.10 | 23% | 28 Aug → | |
| mirage | 13–7 | 0.05 | 19% | 28 Aug → | |
| mirage | 3–13 | -0.01 | 14% | 28 Aug → | |
| ancient | 13–3 | -0.04 | 10% | 28 Aug → | |
| nuke | 4–9 | -0.09 | 8% | 27 Aug → | |
| vertigo | 6–9 | -0.04 | 8% | 27 Aug → | |
| inferno | 8–8 | -0.08 | 14% | 27 Aug → | |
| mirage | 3–13 | -0.01 | 8% | 23 Aug → | |
| ancient | 7–13 | -0.00 | 8% | 23 Aug → | |
| mirage | 11–13 | -0.01 | 5% | 23 Aug → | |
| dust2 | 13–9 | 0.08 | 8% | 22 Aug → | |
| anubis | 10–13 | -0.05 | 8% | 22 Aug → | |
| nuke | 13–10 | 0.01 | 20% | 22 Aug → | |
| nuke | 1–13 | -0.05 | 10% | 22 Aug → | |
| ancient | 9–13 | 0.10 | 22% | 21 Aug → | |
| inferno | 8–13 | -0.08 | 10% | 21 Aug → | |
| ancient | 13–7 | -0.04 | 18% | 21 Aug → | |
| cache | 5–13 | -0.02 | 12% | 21 Aug → | |
| ancient | 7–13 | -0.01 | 23% | 20 Aug → | |
| inferno | 13–11 | 0.04 | 19% | 20 Aug → | |
| dust2 | 13–10 | -0.03 | 7% | 20 Aug → | |
| ancient | 13–6 | 0.04 | 17% | 18 Aug → | |
| dust2 | 2–13 | -0.03 | 20% | 17 Aug → | |
| ancient | 13–8 | 0.02 | 15% | 17 Aug → | |
| mirage | 13–8 | 0.05 | 10% | 17 Aug → | |
| nuke | 13–3 | 0.07 | 13% | 17 Aug → | |
| inferno | 13–9 | 0.08 | 16% | 17 Aug → | |
| dust2 | 12–16 | -0.01 | 25% | 17 Aug → | |
| inferno | 6–13 | 0.02 | 20% | 16 Aug → | |
| ancient | 4–7 | 0.04 | 7% | 16 Aug → | |
| mirage | 13–9 | 0.06 | 12% | 15 Aug → | |
| anubis | 7–13 | -0.00 | 14% | 15 Aug → | |
| dust2 | 10–13 | 0.01 | 13% | 15 Aug → | |
| cache | 13–5 | 0.04 | 14% | 15 Aug → | |
| inferno | 7–13 | -0.06 | 14% | 15 Aug → | |
| cache | 13–8 | -0.05 | 26% | 15 Aug → | |
| cache | 13–6 | 0.11 | 23% | 15 Aug → | |
| dust2 | 10–13 | -0.06 | 12% | 14 Aug → | |
| cache | 13–8 | 0.05 | 22% | 14 Aug → | |
| nuke | 13–11 | 0.11 | 27% | 14 Aug → | |
| cache | 7–13 | -0.04 | 8% | 13 Aug → | |
| ancient | 13–9 | 0.07 | 19% | 13 Aug → | |
| nuke | 13–11 | -0.06 | 6% | 13 Aug → | |
| cache | 13–5 | 0.07 | 8% | 13 Aug → | |
| anubis | 0–8 | -0.03 | 5% | 13 Aug → | |
| ancient | 13–4 | 0.06 | 6% | 13 Aug → | |
| inferno | 13–16 | 0.01 | 18% | 13 Aug → | |
| mirage | 13–10 | 0.08 | 19% | 13 Aug → | |
| cache | 13–5 | -0.05 | 17% | 12 Aug → | |
| dust2 | 13–6 | 0.05 | 17% | 12 Aug → | |
| ancient | 12–16 | 0.06 | 16% | 12 Aug → | |
| anubis | 10–13 | 0.02 | 13% | 12 Aug → | |
| ancient | 6–13 | -0.03 | 12% | 12 Aug → | |
| ancient | 10–13 | -0.03 | 19% | 12 Aug → | |
| dust2 | 6–13 | -0.10 | 21% | 11 Aug → | |
| nuke | 13–8 | -0.02 | 10% | 10 Aug → | |
| cache | 13–10 | -0.05 | 14% | 10 Aug → | |
| nuke | 15–15 | -0.03 | 15% | 10 Aug → | |
| anubis | 13–4 | 0.03 | 15% | 10 Aug → | |
| ancient | 13–5 | 0.15 | 20% | 9 Aug → | |
| nuke | 13–5 | 0.13 | 13% | 9 Aug → | |
| nuke | 13–11 | 0.06 | 22% | 9 Aug → | |
| dust2 | 4–13 | -0.04 | 19% | 9 Aug → | |
| inferno | 9–13 | 0.10 | 12% | 8 Aug → | |
| mirage | 15–15 | 0.02 | 9% | 8 Aug → | |
| ancient | 7–13 | -0.04 | 19% | 8 Aug → | |
| debris | 9–6 | -0.06 | 14% | 8 Aug → | |
| nuke | 9–1 | 0.36 | 13% | 8 Aug → | |
| inferno | 9–7 | -0.05 | 23% | 8 Aug → | |
| anubis | 5–13 | 0.08 | 18% | 7 Aug → | |
| inferno | 13–11 | 0.01 | 13% | 7 Aug → | |
| mirage | 13–6 | -0.00 | 12% | 7 Aug → | |
| cache | 13–4 | 0.04 | 32% | 7 Aug → | |
| nuke | 5–13 | 0.00 | 16% | 7 Aug → | |
| dust2 | 11–13 | 0.04 | 9% | 6 Aug → | |
| nuke | 2–9 | -0.06 | 16% | 6 Aug → | |
| ancient | 13–4 | 0.06 | 26% | 6 Aug → | |
| dust2 | 5–13 | -0.03 | 11% | 6 Aug → | |
| vertigo | 9–4 | 0.09 | 14% | 6 Aug → | |
| nuke | 8–8 | -0.03 | 10% | 6 Aug → | |
| inferno | 9–1 | 0.29 | 28% | 6 Aug → | |
| ancient | 13–9 | 0.02 | 14% | 6 Aug → | |
| nuke | 11–13 | 0.02 | 7% | 6 Aug → | |
| mirage | 1–13 | -0.03 | 32% | 5 Aug → | |
| nuke | 4–13 | -0.03 | 6% | 5 Aug → | |
| nuke | 6–13 | 0.00 | 23% | 5 Aug → | |
| inferno | 15–15 | -0.01 | 17% | 4 Aug → | |
| ancient | 13–8 | 0.13 | 21% | 4 Aug → | |
| inferno | 13–11 | 0.02 | 15% | 4 Aug → | |
| ancient | 11–13 | -0.03 | 22% | 3 Aug → | |
| nuke | 13–8 | 0.05 | 16% | 3 Aug → | |
| anubis | 9–13 | -0.01 | 16% | 3 Aug → | |
| inferno | 5–13 | 0.05 | 11% | 3 Aug → | |
| inferno | 7–13 | 0.01 | 17% | 2 Aug → | |
| ancient | 13–8 | -0.01 | 5% | 2 Aug → | |
| nuke | 13–8 | 0.04 | 7% | 2 Aug → | |
| inferno | 13–2 | 0.10 | 60% | 2 Aug → |
Match data via Leetify.