brewskiehoff — CS2 Stats
76561198151220392[U:1:190954664]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.07 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 NiKo 76% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 706ms 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 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| C | 33 | 12–21 | 36% | 0.00 | |
| A | 19 | 12–7 | 63% | 0.00 | |
| S | 10 | 7–3 | 70% | -0.00 | |
| S | 10 | 7–3 | 70% | 0.01 | |
| D | 6 | 2–4 | 33% | -0.04 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| D | 5 | 0–5 | 0% | 0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| warden | — | 2 | 1–1 | 50% | 0.00 |
| office | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | -0.02 |
| stronghold | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7891% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 706.1397ms — above the 700ms mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.2575 — below the 0.5 mark we flag
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 | |
|---|---|---|---|---|---|
| 13–5 | 0.09 | 25% | 2 Jun → | ||
| 11–13 | -0.02 | 17% | 2 Jun → | ||
| 13–9 | 0.07 | 17% | 2 Jun → | ||
| office | 6–13 | -0.04 | 7% | 2 Jun → | |
| alpine | 3–13 | -0.02 | 11% | 2 Jun → | |
| 9–6 | 0.14 | 20% | 2 Jun → | ||
| 7–9 | 0.09 | 27% | 2 Jun → | ||
| 7–9 | 0.08 | 20% | 2 Jun → | ||
| 9–3 | 0.35 | 31% | 2 Jun → | ||
| 6–13 | 0.01 | 16% | 2 Jun → | ||
| 13–11 | 0.10 | 19% | 1 Jun → | ||
| 13–8 | 0.04 | 22% | 31 May → | ||
| 3–13 | -0.10 | 11% | 31 May → | ||
| 9–13 | 0.00 | 15% | 30 May → | ||
| 13–7 | 0.04 | 14% | 29 May → | ||
| 7–13 | 0.05 | 12% | 29 May → | ||
| 7–13 | -0.01 | 20% | 29 May → | ||
| 10–13 | -0.00 | 10% | 29 May → | ||
| 3–13 | 0.02 | 4% | 29 May → | ||
| 1–9 | -0.11 | 33% | 29 May → | ||
| 2–13 | -0.05 | 10% | 29 May → | ||
| stronghold | 9–13 | -0.01 | 17% | 28 May → | |
| 13–5 | 0.01 | 32% | 28 May → | ||
| 11–13 | 0.02 | 19% | 28 May → | ||
| 6–13 | -0.02 | 20% | 28 May → | ||
| 12–12 | -0.03 | 17% | 28 May → | ||
| 13–7 | 0.02 | 17% | 28 May → | ||
| 7–9 | 0.05 | 14% | 27 May → | ||
| 2–9 | -0.25 | 6% | 27 May → | ||
| 10–13 | -0.02 | 5% | 25 May → | ||
| 13–3 | 0.17 | 13% | 25 May → | ||
| warden | 13–6 | 0.03 | 17% | 25 May → | |
| 6–13 | -0.01 | 11% | 25 May → | ||
| 2–13 | -0.10 | 18% | 25 May → | ||
| 13–9 | 0.06 | 11% | 25 May → | ||
| 6–9 | -0.01 | 19% | 24 May → | ||
| 2–9 | -0.27 | 8% | 24 May → | ||
| 9–7 | 0.04 | 21% | 24 May → | ||
| 9–4 | 0.16 | 31% | 24 May → | ||
| 5–9 | -0.05 | 21% | 24 May → | ||
| 8–8 | -0.03 | 25% | 24 May → | ||
| 9–3 | 0.10 | 21% | 24 May → | ||
| 4–9 | -0.11 | 10% | 24 May → | ||
| 1–9 | -0.15 | 17% | 24 May → | ||
| 8–13 | -0.06 | 7% | 24 May → | ||
| 5–9 | -0.11 | 7% | 24 May → | ||
| 9–3 | 0.16 | 24% | 23 May → | ||
| 6–9 | -0.15 | 25% | 23 May → | ||
| 6–9 | 0.08 | 39% | 23 May → | ||
| 6–9 | -0.16 | 0% | 23 May → | ||
| 4–13 | -0.05 | 6% | 23 May → | ||
| warden | 3–13 | -0.03 | 13% | 23 May → | |
| 13–8 | 0.10 | 12% | 23 May → | ||
| 10–13 | 0.13 | 18% | 23 May → | ||
| 0–13 | -0.05 | 25% | 23 May → | ||
| 6–9 | 0.16 | 12% | 23 May → | ||
| 13–7 | 0.04 | 29% | 23 May → | ||
| 9–7 | -0.06 | 10% | 23 May → | ||
| 9–6 | -0.06 | 3% | 22 May → | ||
| 13–8 | -0.02 | 13% | 22 May → | ||
| 13–7 | 0.04 | 19% | 21 May → | ||
| 13–6 | -0.04 | 4% | 21 May → | ||
| 8–8 | -0.09 | 8% | 21 May → | ||
| 13–9 | -0.01 | 16% | 20 May → | ||
| 13–11 | -0.05 | 19% | 20 May → | ||
| 13–11 | 0.00 | 19% | 19 May → | ||
| 13–3 | 0.01 | 18% | 19 May → | ||
| 9–13 | -0.02 | 28% | 13 May → | ||
| 5–13 | -0.03 | 15% | 10 May → | ||
| 13–6 | -0.09 | 17% | 8 May → | ||
| 5–13 | -0.03 | 15% | 6 May → | ||
| 8–13 | -0.05 | 12% | 6 May → | ||
| 12–12 | -0.05 | 32% | 6 May → | ||
| 4–13 | -0.01 | 10% | 6 May → | ||
| 13–9 | -0.03 | 12% | 6 May → | ||
| 13–10 | -0.08 | 10% | 5 May → | ||
| 13–9 | -0.04 | 9% | 5 May → | ||
| 9–13 | 0.05 | 20% | 4 May → | ||
| 6–13 | -0.04 | 0% | 4 May → | ||
| 16–13 | 0.02 | 10% | 4 May → | ||
| 11–13 | 0.03 | 22% | 4 May → | ||
| 13–5 | 0.02 | 13% | 3 May → | ||
| 13–6 | 0.04 | 11% | 3 May → | ||
| 9–13 | -0.01 | 8% | 3 May → | ||
| 13–5 | -0.05 | 5% | 3 May → | ||
| 13–8 | -0.02 | 17% | 3 May → | ||
| 13–5 | 0.05 | 6% | 3 May → | ||
| 13–10 | 0.00 | 20% | 3 May → | ||
| 10–13 | 0.00 | 11% | 3 May → | ||
| 13–6 | 0.01 | 8% | 2 May → | ||
| 13–9 | -0.03 | 11% | 2 May → | ||
| 13–3 | 0.05 | 16% | 1 May → | ||
| 13–7 | -0.06 | 9% | 1 May → | ||
| 13–7 | -0.02 | 6% | 1 May → | ||
| 13–5 | 0.02 | 13% | 1 May → | ||
| 13–4 | -0.02 | 22% | 1 May → | ||
| 13–10 | 0.02 | 19% | 1 May → | ||
| 4–13 | 0.01 | 8% | 30 Apr → | ||
| 9–13 | 0.02 | 21% | 30 Apr → | ||
| 13–7 | -0.01 | 7% | 30 Apr → |
Match data via Leetify.