Beef Baron — CS2 Stats
76561198079919520[U:1:119653792]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 92% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: higher opening-fight frequency.
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
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Reaction time. 606ms 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 5.8/10 (Solid), 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 |
|---|---|---|---|---|---|
| D | 32 | 10–22 | 31% | 0.02 | |
| C | 16 | 7–9 | 44% | 0.04 | |
| C | 13 | 5–8 | 38% | 0.02 | |
| D | 12 | 4–8 | 33% | -0.01 | |
| office | B | 10 | 5–5 | 50% | 0.04 |
| D | 6 | 1–5 | 17% | -0.01 | |
| D | 5 | 1–4 | 20% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.04 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Vertigo | 15 | 60% | 1.26 | 18.4 |
| Inferno | 14 | 50% | 0.94 | 13.4 |
| Ancient | 3 | 100% | 1.23 | 20.0 |
| Anubis | 3 | 0% | 1.20 | 18.0 |
| Overpass | 1 | 0% | 0.12 | 2.0 |
| Mirage | 1 | 100% | 0.76 | 16.0 |
| Nuke | 1 | 0% | 1.27 | 28.0 |
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 →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4768 — below the 0.5 mark we flag
- Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 32.3409% — 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.
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 | |
|---|---|---|---|---|---|
| 13–10 | 0.00 | 16% | 27 Aug → | ||
| 6–13 | 0.01 | 21% | 27 Aug → | ||
| 13–7 | -0.00 | 14% | 27 Aug → | ||
| 7–13 | -0.06 | 18% | 24 Aug → | ||
| 11–13 | 0.12 | 29% | 24 Aug → | ||
| 9–13 | -0.03 | 17% | 23 Aug → | ||
| 12–12 | -0.02 | 16% | 23 Aug → | ||
| 13–8 | 0.07 | 23% | 22 Aug → | ||
| office | 7–13 | 0.01 | 28% | 22 Aug → | |
| 13–2 | 0.11 | 38% | 22 Aug → | ||
| 13–7 | -0.02 | 22% | 22 Aug → | ||
| 13–11 | 0.02 | 17% | 21 Aug → | ||
| 13–7 | 0.02 | 24% | 17 Aug → | ||
| 8–13 | 0.00 | 11% | 17 Aug → | ||
| 9–13 | -0.06 | 23% | 16 Aug → | ||
| 12–12 | 0.00 | 18% | 16 Aug → | ||
| 15–15 | -0.00 | 23% | 16 Aug → | ||
| 10–13 | 0.04 | 22% | 16 Aug → | ||
| 6–13 | 0.02 | 24% | 16 Aug → | ||
| office | 13–4 | 0.10 | 22% | 16 Aug → | |
| 13–11 | -0.05 | 13% | 15 Aug → | ||
| office | 13–7 | 0.06 | 18% | 13 Aug → | |
| 8–13 | 0.01 | 23% | 13 Aug → | ||
| 12–12 | 0.01 | 32% | 13 Aug → | ||
| office | 5–13 | -0.01 | 41% | 11 Aug → | |
| 13–6 | 0.07 | 18% | 11 Aug → | ||
| 13–7 | -0.00 | 22% | 11 Aug → | ||
| 8–13 | 0.03 | 17% | 10 Aug → | ||
| 5–13 | 0.02 | 18% | 10 Aug → | ||
| 9–13 | 0.06 | 26% | 8 Aug → | ||
| 9–13 | 0.03 | 19% | 8 Aug → | ||
| 13–5 | 0.03 | 16% | 8 Aug → | ||
| 13–10 | 0.11 | 24% | 31 Jul → | ||
| 6–13 | 0.02 | 35% | 31 Jul → | ||
| 15–15 | 0.08 | 24% | 29 Jul → | ||
| 4–13 | -0.06 | 22% | 27 Jul → | ||
| 10–13 | -0.09 | 14% | 26 Jul → | ||
| 13–9 | 0.07 | 14% | 25 Jul → | ||
| 4–13 | 0.02 | 29% | 25 Jul → | ||
| 13–9 | 0.02 | 30% | 25 Jul → | ||
| 13–8 | 0.07 | 24% | 22 Jul → | ||
| 13–11 | 0.02 | 19% | 21 Jul → | ||
| 4–13 | -0.02 | 14% | 21 Jul → | ||
| 13–7 | 0.05 | 27% | 21 Jul → | ||
| 11–13 | -0.00 | 15% | 21 Jul → | ||
| 8–13 | 0.03 | 15% | 19 Jul → | ||
| 12–12 | 0.02 | 25% | 17 Jul → | ||
| 13–7 | 0.07 | 23% | 16 Jul → | ||
| 7–13 | 0.02 | 17% | 16 Jul → | ||
| 5–13 | -0.02 | 26% | 15 Jul → | ||
| 6–13 | 0.02 | 19% | 14 Jul → | ||
| 13–9 | 0.03 | 25% | 14 Jul → | ||
| office | 13–1 | 0.01 | 21% | 14 Jul → | |
| 13–7 | 0.08 | 21% | 13 Jul → | ||
| 6–13 | 0.01 | 31% | 13 Jul → | ||
| office | 9–13 | 0.02 | 12% | 12 Jul → | |
| 2–13 | -0.02 | 13% | 12 Jul → | ||
| 2–13 | -0.09 | 4% | 9 Jul → | ||
| 12–16 | -0.01 | 18% | 6 Jul → | ||
| 13–8 | 0.04 | 17% | 6 Jul → | ||
| 10–13 | 0.02 | 28% | 4 Jul → | ||
| 10–13 | -0.01 | 19% | 4 Jul → | ||
| 6–13 | -0.01 | 19% | 3 Jul → | ||
| 2–13 | -0.09 | 17% | 3 Jul → | ||
| 3–13 | -0.00 | 20% | 3 Jul → | ||
| 13–6 | -0.04 | 16% | 3 Jul → | ||
| 13–2 | 0.18 | 18% | 3 Jul → | ||
| 7–13 | 0.01 | 14% | 2 Jul → | ||
| 7–13 | -0.03 | 22% | 1 Jul → | ||
| 10–13 | -0.03 | 30% | 1 Jul → | ||
| 12–12 | 0.03 | 14% | 30 Jun → | ||
| 7–13 | 0.03 | 25% | 30 Jun → | ||
| 13–8 | 0.03 | 28% | 30 Jun → | ||
| 8–13 | 0.08 | 21% | 28 Jun → | ||
| 13–7 | 0.10 | 18% | 28 Jun → | ||
| 12–12 | 0.01 | 19% | 28 Jun → | ||
| 4–13 | 0.01 | 13% | 27 Jun → | ||
| 4–13 | 0.01 | 22% | 26 Jun → | ||
| 2–13 | -0.01 | 21% | 26 Jun → | ||
| 7–13 | -0.03 | 17% | 23 Jun → | ||
| 13–2 | 0.11 | 18% | 23 Jun → | ||
| 10–13 | 0.01 | 21% | 23 Jun → | ||
| 9–13 | 0.07 | 20% | 21 Jun → | ||
| 6–13 | -0.05 | 16% | 21 Jun → | ||
| 13–11 | 0.01 | 15% | 21 Jun → | ||
| 10–13 | -0.03 | 27% | 20 Jun → | ||
| office | 13–11 | 0.05 | 10% | 20 Jun → | |
| office | 5–13 | 0.02 | 35% | 20 Jun → | |
| office | 8–13 | 0.05 | 38% | 19 Jun → | |
| 13–10 | 0.06 | 8% | 19 Jun → | ||
| 8–13 | 0.06 | 15% | 19 Jun → | ||
| 10–13 | 0.04 | 13% | 19 Jun → | ||
| office | 13–11 | 0.05 | 20% | 18 Jun → | |
| 2–13 | 0.04 | 29% | 18 Jun → | ||
| 13–8 | 0.14 | 28% | 15 Jun → | ||
| 7–13 | 0.07 | 18% | 14 Jun → | ||
| 4–13 | -0.08 | 21% | 13 Jun → | ||
| 13–11 | 0.00 | 23% | 9 Jun → | ||
| 2–13 | -0.03 | 22% | 9 Jun → | ||
| 9–13 | -0.03 | 22% | 8 Jun → |
Match data via Leetify.