Beauzeau — CS2 Stats
76561198067390504[U:1:107124776]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.02 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 72% 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.
Reaction time. 667ms 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 3.8/10 (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 |
|---|---|---|---|---|---|
| B | 21 | 11–10 | 52% | -0.01 | |
| A | 20 | 11–9 | 55% | -0.01 | |
| D | 16 | 3–13 | 19% | -0.03 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| C | 9 | 4–5 | 44% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.03 | |
| C | 7 | 3–4 | 43% | -0.04 | |
| D | 6 | 2–4 | 33% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWL
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.
- 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 14.8517% — below the 15% 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 0.3411 — below the 0.5 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 28.8106% — 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.
19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.01 | 13% | 28 Aug → | ||
| 10–13 | 0.04 | 13% | 27 Aug → | ||
| 16–14 | -0.03 | 15% | 24 Aug → | ||
| 10–13 | -0.03 | 0% | 23 Aug → | ||
| 9–13 | 0.01 | 16% | 23 Aug → | ||
| 14–16 | -0.06 | 33% | 16 Aug → | ||
| 3–13 | -0.05 | 19% | 15 Aug → | ||
| 13–10 | -0.02 | 13% | 14 Aug → | ||
| 7–13 | -0.08 | 16% | 12 Aug → | ||
| 6–13 | -0.07 | 13% | 12 Aug → | ||
| 13–7 | -0.02 | 8% | 9 Aug → | ||
| 13–6 | -0.01 | 25% | 8 Aug → | ||
| 13–10 | -0.04 | 7% | 8 Aug → | ||
| 2–5 | 0.02 | 33% | 7 Aug → | ||
| 13–10 | 0.09 | 15% | 7 Aug → | ||
| 8–13 | -0.09 | 17% | 7 Aug → | ||
| 9–13 | -0.03 | 8% | 6 Aug → | ||
| 15–15 | 0.04 | 10% | 2 Aug → | ||
| 13–10 | 0.03 | 13% | 2 Aug → | ||
| 5–13 | -0.03 | 12% | 2 Aug → | ||
| 13–10 | 0.02 | 26% | 2 Aug → | ||
| 12–16 | -0.02 | 18% | 27 Jul → | ||
| 9–13 | 0.02 | 15% | 25 Jul → | ||
| 13–3 | 0.02 | 12% | 25 Jul → | ||
| 13–9 | -0.00 | 14% | 24 Jul → | ||
| 7–13 | -0.01 | 13% | 24 Jul → | ||
| 6–13 | -0.06 | 20% | 23 Jul → | ||
| 13–5 | 0.03 | 13% | 23 Jul → | ||
| 13–11 | -0.06 | 11% | 22 Jul → | ||
| 13–8 | -0.04 | 14% | 21 Jul → | ||
| 7–13 | -0.08 | 8% | 21 Jul → | ||
| 13–1 | -0.03 | 3% | 21 Jul → | ||
| 6–13 | -0.02 | 17% | 19 Jul → | ||
| 7–13 | -0.06 | 5% | 13 Jul → | ||
| 16–14 | -0.08 | 0% | 13 Jul → | ||
| 7–13 | -0.06 | 14% | 12 Jul → | ||
| 2–13 | -0.09 | 14% | 10 Jul → | ||
| 5–13 | -0.08 | 7% | 9 Jul → | ||
| 13–11 | 0.03 | 16% | 9 Jul → | ||
| 4–13 | -0.05 | 11% | 8 Jul → | ||
| 3–13 | -0.03 | 13% | 8 Jul → | ||
| 13–8 | 0.00 | 11% | 8 Jul → | ||
| 13–10 | 0.00 | 9% | 6 Jul → | ||
| 13–8 | 0.07 | 15% | 5 Jul → | ||
| 7–13 | -0.10 | 10% | 5 Jul → | ||
| 13–8 | 0.02 | 11% | 5 Jul → | ||
| 15–15 | 0.02 | 14% | 3 Jul → | ||
| 5–13 | -0.06 | 7% | 3 Jul → | ||
| 13–11 | 0.02 | 25% | 1 Jul → | ||
| 13–11 | 0.04 | 7% | 1 Jul → | ||
| 13–8 | 0.01 | 12% | 1 Jul → | ||
| 11–13 | -0.05 | 6% | 30 Jun → | ||
| 13–7 | -0.02 | 10% | 29 Jun → | ||
| 11–13 | -0.06 | 10% | 29 Jun → | ||
| 15–15 | -0.06 | 7% | 28 Jun → | ||
| 11–13 | -0.04 | 16% | 28 Jun → | ||
| 13–3 | 0.07 | 13% | 27 Jun → | ||
| 9–13 | -0.04 | 4% | 27 Jun → | ||
| 10–13 | -0.03 | 16% | 27 Jun → | ||
| 13–5 | 0.03 | 20% | 26 Jun → | ||
| 4–13 | -0.00 | 21% | 26 Jun → | ||
| 13–5 | 0.05 | 14% | 25 Jun → | ||
| 7–13 | 0.06 | 15% | 24 Jun → | ||
| 7–13 | -0.00 | 14% | 23 Jun → | ||
| 6–13 | -0.09 | 20% | 21 Jun → | ||
| 13–5 | -0.04 | 5% | 21 Jun → | ||
| 13–5 | -0.07 | 17% | 21 Jun → | ||
| 13–16 | -0.03 | 21% | 21 Jun → | ||
| 5–13 | -0.01 | 11% | 21 Jun → | ||
| 9–13 | -0.03 | 7% | 20 Jun → | ||
| 5–13 | -0.04 | 7% | 18 May → | ||
| 6–13 | -0.06 | 4% | 15 May → | ||
| 13–8 | -0.04 | 25% | 2 May → | ||
| 8–13 | -0.02 | 20% | 2 May → | ||
| 12–12 | -0.03 | 8% | 30 Apr → | ||
| 13–3 | -0.03 | 9% | 26 Apr → | ||
| 13–2 | 0.02 | 7% | 26 Apr → | ||
| 6–13 | 0.03 | 15% | 26 Apr → | ||
| 13–9 | 0.01 | 15% | 26 Apr → | ||
| 13–2 | 0.05 | 22% | 1 Apr → | ||
| 8–13 | -0.06 | 26% | 1 Apr → | ||
| 13–5 | -0.03 | 18% | 31 Mar → | ||
| 14–16 | 0.02 | 12% | 29 Mar → | ||
| 6–13 | -0.02 | 8% | 29 Mar → | ||
| 13–7 | -0.05 | 9% | 29 Mar → | ||
| 7–13 | -0.07 | 9% | 28 Mar → | ||
| 13–6 | -0.01 | 19% | 16 Mar → | ||
| 13–5 | -0.00 | 4% | 16 Mar → | ||
| 13–6 | -0.01 | 20% | 15 Mar → | ||
| 7–13 | -0.04 | 15% | 15 Mar → | ||
| 8–13 | 0.01 | 11% | 14 Mar → | ||
| 4–13 | -0.01 | 12% | 11 Mar → | ||
| 13–7 | -0.01 | 12% | 7 Mar → | ||
| 13–10 | 0.03 | 14% | 6 Mar → | ||
| 15–15 | -0.03 | 19% | 5 Mar → | ||
| 5–13 | -0.03 | 32% | 4 Mar → | ||
| 7–13 | -0.03 | 17% | 25 Feb → | ||
| 13–10 | -0.04 | 18% | 24 Feb → | ||
| 11–13 | -0.05 | 4% | 23 Feb → | ||
| 15–15 | -0.04 | 20% | 22 Feb → |
Match data via Leetify.