FoolioBrent — CS2 Stats
76561198123767231[U:1:163501503]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Limited 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 jL 90% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
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.
Reaction time. 578ms 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 6.1/10 (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 |
|---|---|---|---|---|---|
| A | 33 | 18–15 | 55% | 0.02 | |
| A | 17 | 10–7 | 59% | -0.00 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| D | 13 | 4–9 | 31% | -0.01 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| D | 6 | 1–5 | 17% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 97 | 61% | 1.23 | 16.9 |
| Dust2 | 45 | 58% | 1.11 | 16.8 |
| Inferno | 37 | 46% | 1.04 | 16.6 |
| Ancient | 28 | 29% | 0.92 | 14.7 |
| Cache | 25 | 40% | 1.24 | 18.4 |
| Anubis | 16 | 44% | 1.14 | 16.4 |
| Nuke | 9 | 44% | 1.18 | 18.0 |
| Overpass | 7 | 57% | 0.82 | 14.7 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | 0.07 | 13% | 27 Aug → | ||
| 11–13 | -0.04 | 10% | 27 Aug → | ||
| 11–13 | -0.02 | 10% | 30 Jul → | ||
| 13–11 | -0.01 | 22% | 30 Jul → | ||
| 11–13 | -0.03 | 15% | 29 Jul → | ||
| 16–14 | 0.04 | 22% | 24 Jul → | ||
| 16–12 | 0.04 | 16% | 23 Jul → | ||
| 8–13 | -0.02 | 2% | 22 Jul → | ||
| 13–11 | -0.01 | 23% | 19 Jul → | ||
| 13–11 | 0.03 | 19% | 19 Jul → | ||
| 13–8 | 0.08 | 20% | 18 Jul → | ||
| 6–13 | 0.06 | 21% | 18 Jul → | ||
| 12–16 | -0.05 | 12% | 16 Jul → | ||
| 11–13 | 0.03 | 15% | 15 Jul → | ||
| 7–13 | -0.07 | 27% | 15 Jul → | ||
| 14–16 | 0.00 | 26% | 14 Jul → | ||
| 13–9 | -0.02 | 24% | 14 Jul → | ||
| 13–11 | 0.02 | 24% | 14 Jul → | ||
| 13–4 | -0.01 | 12% | 14 Jul → | ||
| 13–9 | -0.00 | 16% | 13 Jul → | ||
| 11–13 | -0.02 | 29% | 12 Jul → | ||
| 10–13 | -0.00 | 26% | 12 Jul → | ||
| 6–13 | -0.04 | 26% | 12 Jul → | ||
| 15–15 | 0.02 | 19% | 11 Jul → | ||
| 13–3 | -0.04 | 13% | 11 Jul → | ||
| 6–13 | -0.08 | 11% | 11 Jul → | ||
| 13–10 | 0.14 | 27% | 11 Jul → | ||
| 13–10 | 0.00 | 15% | 11 Jul → | ||
| 11–2 | 0.09 | 18% | 11 Jul → | ||
| 13–9 | -0.01 | 26% | 11 Jul → | ||
| 15–15 | 0.02 | 17% | 11 Jul → | ||
| 9–13 | 0.03 | 14% | 10 Jul → | ||
| 13–7 | 0.03 | 33% | 10 Jul → | ||
| 13–3 | 0.09 | 7% | 10 Jul → | ||
| 13–9 | 0.12 | 16% | 10 Jul → | ||
| 7–13 | 0.04 | 25% | 10 Jul → | ||
| 15–15 | 0.01 | 21% | 10 Jul → | ||
| 6–13 | -0.00 | 27% | 9 Jul → | ||
| 9–13 | -0.01 | 16% | 9 Jul → | ||
| 13–16 | 0.01 | 11% | 9 Jul → | ||
| 13–5 | -0.01 | 13% | 9 Jul → | ||
| 13–5 | -0.03 | 16% | 9 Jul → | ||
| 7–13 | -0.00 | 18% | 8 Jul → | ||
| 16–14 | 0.03 | 30% | 7 Jul → | ||
| 5–13 | 0.01 | 14% | 4 Jul → | ||
| 5–13 | -0.00 | 24% | 4 Jul → | ||
| 13–3 | 0.03 | 23% | 4 Jul → | ||
| 11–13 | 0.06 | 23% | 4 Jul → | ||
| 10–13 | 0.08 | 11% | 2 Jul → | ||
| 13–10 | 0.03 | 16% | 1 Jul → | ||
| 9–13 | 0.00 | 15% | 28 Jun → | ||
| 5–13 | -0.02 | 27% | 27 Jun → | ||
| 11–13 | -0.06 | 37% | 27 Jun → | ||
| 11–13 | -0.02 | 16% | 27 Jun → | ||
| 11–13 | 0.02 | 21% | 27 Jun → | ||
| 4–13 | -0.05 | 11% | 26 Jun → | ||
| 11–13 | -0.03 | 8% | 24 Jun → | ||
| 13–5 | -0.04 | 31% | 24 Jun → | ||
| 13–9 | 0.02 | 21% | 24 Jun → | ||
| 7–13 | -0.03 | 11% | 24 Jun → | ||
| 16–14 | -0.01 | 4% | 24 Jun → | ||
| 4–13 | 0.01 | 17% | 23 Jun → | ||
| 13–10 | -0.00 | 18% | 17 Jun → | ||
| 13–5 | -0.02 | 21% | 17 Jun → | ||
| 5–13 | -0.00 | 6% | 17 Jun → | ||
| 13–3 | -0.00 | 6% | 16 Jun → | ||
| 13–11 | 0.01 | 13% | 13 Jun → | ||
| 5–13 | 0.03 | 21% | 13 Jun → | ||
| 11–13 | -0.04 | 28% | 12 Jun → | ||
| 7–13 | 0.01 | 5% | 12 Jun → | ||
| 13–6 | 0.06 | 9% | 11 Jun → | ||
| 23–25 | 0.01 | 13% | 10 Jun → | ||
| 13–11 | 0.08 | 19% | 10 Jun → | ||
| 14–16 | 0.00 | 15% | 10 Jun → | ||
| 13–8 | 0.01 | 13% | 9 Jun → | ||
| 10–13 | 0.00 | 19% | 9 Jun → | ||
| 13–7 | -0.04 | 16% | 7 Jun → | ||
| 13–8 | -0.02 | 17% | 7 Jun → | ||
| 10–13 | -0.05 | 21% | 7 Jun → | ||
| 13–8 | 0.03 | 29% | 6 Jun → | ||
| 7–13 | -0.07 | 16% | 6 Jun → | ||
| 9–13 | -0.02 | 15% | 5 Jun → | ||
| 13–10 | 0.02 | 21% | 5 Jun → | ||
| 13–10 | 0.05 | 21% | 5 Jun → | ||
| 8–13 | -0.04 | 23% | 4 Jun → | ||
| 13–8 | -0.05 | 9% | 4 Jun → | ||
| 10–13 | -0.05 | 11% | 4 Jun → | ||
| 13–4 | -0.01 | 13% | 1 Jun → | ||
| 11–13 | -0.03 | 18% | 1 Jun → | ||
| 9–13 | -0.09 | 13% | 31 May → | ||
| 13–3 | -0.00 | 13% | 31 May → | ||
| 13–9 | 0.04 | 19% | 30 May → | ||
| 9–13 | 0.03 | 26% | 30 May → | ||
| 13–6 | 0.08 | 26% | 30 May → | ||
| 13–9 | 0.07 | 19% | 29 May → | ||
| 6–13 | 0.10 | 13% | 29 May → | ||
| 10–13 | -0.01 | 21% | 29 May → | ||
| 8–13 | 0.02 | 13% | 29 May → | ||
| 13–5 | 0.05 | 22% | 29 May → | ||
| 9–0 | 0.08 | 22% | 28 May → |
Match data via Leetify.