BuBu — CS2 Stats
76561198223609392[U:1:263343664]
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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.
Sharp aimerExcellent counter-strafing
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 93% playstyle similarity
Most alike: opening-fight frequency, 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
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 611ms 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 6.8/10 (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 | 45 | 28–17 | 62% | 0.02 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| C | 11 | 4–7 | 36% | 0.03 | |
| D | 9 | 2–7 | 22% | -0.00 | |
| S | 9 | 8–1 | 89% | 0.03 | |
| S | 8 | 6–2 | 75% | 0.00 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 2 | 0–2 | 0% | 0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 309 | 51% | 1.09 | 16.2 |
| Inferno | 287 | 52% | 1.19 | 16.7 |
| Ancient | 209 | 52% | 1.13 | 17.0 |
| Anubis | 200 | 52% | 1.18 | 17.0 |
| Dust2 | 59 | 39% | 1.04 | 15.5 |
| Nuke | 56 | 43% | 1.05 | 16.5 |
| Vertigo | 49 | 43% | 1.06 | 16.6 |
| Train | 42 | 57% | 1.21 | 17.1 |
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 0.4202 — 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 36.8058% — 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.
22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–4 | 0.05 | 18% | 28 Aug → | ||
| 13–8 | 0.02 | 21% | 27 Aug → | ||
| 16–14 | -0.02 | 19% | 22 Aug → | ||
| 4–13 | -0.06 | 19% | 20 Aug → | ||
| 8–13 | -0.01 | 16% | 20 Aug → | ||
| 8–13 | -0.03 | 20% | 16 Aug → | ||
| 16–12 | -0.02 | 27% | 15 Aug → | ||
| 13–6 | 0.01 | 37% | 23 Jul → | ||
| 11–13 | -0.00 | 24% | 21 Jul → | ||
| 3–13 | -0.06 | 13% | 13 Jul → | ||
| 13–9 | -0.00 | 23% | 13 Jul → | ||
| 11–13 | 0.00 | 31% | 13 Jul → | ||
| 3–13 | 0.01 | 25% | 12 Jul → | ||
| 13–4 | 0.01 | 9% | 12 Jul → | ||
| 11–13 | 0.03 | 17% | 11 Jul → | ||
| 13–5 | 0.00 | 22% | 11 Jul → | ||
| 4–13 | -0.01 | 34% | 11 Jul → | ||
| 13–9 | -0.00 | 18% | 9 Jul → | ||
| 5–13 | -0.07 | 23% | 9 Jul → | ||
| 13–8 | 0.03 | 25% | 9 Jul → | ||
| 4–13 | 0.01 | 31% | 9 Jul → | ||
| 15–15 | 0.01 | 30% | 9 Jul → | ||
| 9–13 | 0.01 | 22% | 9 Jul → | ||
| 13–11 | 0.04 | 40% | 7 Jul → | ||
| 8–13 | 0.06 | 25% | 3 Jul → | ||
| 13–6 | 0.05 | 8% | 28 Jun → | ||
| 16–12 | -0.02 | 21% | 28 Jun → | ||
| 11–13 | -0.02 | 15% | 27 Jun → | ||
| 13–11 | 0.04 | 32% | 26 Jun → | ||
| 12–12 | -0.01 | 16% | 26 Jun → | ||
| 13–8 | 0.05 | 12% | 25 Jun → | ||
| 13–7 | 0.11 | 24% | 25 Jun → | ||
| 13–5 | 0.04 | 20% | 24 Jun → | ||
| 12–12 | 0.03 | 21% | 24 Jun → | ||
| 13–6 | -0.00 | 28% | 24 Jun → | ||
| 13–10 | 0.06 | 25% | 24 Jun → | ||
| 13–4 | 0.07 | 41% | 23 Jun → | ||
| 10–13 | 0.01 | 21% | 23 Jun → | ||
| 7–13 | 0.01 | 31% | 23 Jun → | ||
| 13–10 | 0.10 | 24% | 23 Jun → | ||
| 7–13 | -0.00 | 38% | 23 Jun → | ||
| 13–6 | 0.02 | 32% | 23 Jun → | ||
| 13–4 | 0.11 | 17% | 23 Jun → | ||
| 12–12 | -0.03 | 15% | 23 Jun → | ||
| 13–9 | 0.05 | 25% | 22 Jun → | ||
| 13–8 | 0.02 | 10% | 22 Jun → | ||
| 13–10 | 0.03 | 20% | 21 Jun → | ||
| 2–13 | -0.06 | 30% | 21 Jun → | ||
| 8–3 | 0.02 | 16% | 21 Jun → | ||
| 11–13 | 0.02 | 33% | 21 Jun → | ||
| 13–8 | 0.04 | 22% | 20 Jun → | ||
| 12–12 | -0.05 | 13% | 20 Jun → | ||
| 16–12 | 0.04 | 20% | 18 Jun → | ||
| 13–11 | 0.06 | 23% | 17 Jun → | ||
| 13–8 | 0.06 | 26% | 15 Jun → | ||
| 13–11 | -0.02 | 32% | 15 Jun → | ||
| 4–13 | 0.01 | 31% | 15 Jun → | ||
| 9–13 | 0.07 | 32% | 14 Jun → | ||
| 10–13 | 0.05 | 20% | 14 Jun → | ||
| 13–11 | 0.03 | 19% | 10 Jun → | ||
| 13–10 | 0.02 | 26% | 9 Jun → | ||
| 13–7 | 0.04 | 24% | 9 Jun → | ||
| 13–8 | -0.07 | 14% | 7 Jun → | ||
| 9–13 | 0.01 | 28% | 7 Jun → | ||
| 13–6 | 0.03 | 23% | 4 Jun → | ||
| 16–14 | 0.01 | 19% | 4 Jun → | ||
| 13–6 | 0.03 | 22% | 2 Jun → | ||
| 12–16 | 0.07 | 27% | 26 May → | ||
| 5–13 | -0.02 | 20% | 24 May → | ||
| 13–11 | -0.04 | 23% | 23 May → | ||
| 13–11 | 0.04 | 14% | 22 May → | ||
| 13–8 | 0.00 | 20% | 15 May → | ||
| 13–8 | 0.03 | 19% | 15 May → | ||
| 13–0 | 0.15 | 27% | 15 May → | ||
| 8–13 | 0.06 | 20% | 14 May → | ||
| 13–9 | 0.01 | 33% | 14 May → | ||
| 4–13 | -0.03 | 4% | 14 May → | ||
| 6–13 | -0.05 | 12% | 13 May → | ||
| 11–13 | -0.01 | 23% | 13 May → | ||
| 11–13 | -0.01 | 20% | 10 May → | ||
| 11–13 | -0.03 | 13% | 9 May → | ||
| 13–7 | -0.02 | 19% | 9 May → | ||
| 13–4 | 0.08 | 18% | 9 May → | ||
| 13–8 | 0.03 | 13% | 7 May → | ||
| 7–13 | -0.03 | 24% | 6 May → | ||
| 10–13 | -0.02 | 18% | 6 May → | ||
| 13–9 | 0.10 | 29% | 5 May → | ||
| 12–16 | -0.03 | 24% | 5 May → | ||
| 13–10 | -0.01 | 16% | 5 May → | ||
| 13–8 | 0.04 | 25% | 5 May → | ||
| 13–10 | -0.01 | 13% | 4 May → | ||
| 10–13 | -0.01 | 19% | 4 May → | ||
| 6–13 | -0.00 | 35% | 4 May → | ||
| 7–1 | 0.01 | 14% | 3 May → | ||
| 13–7 | 0.03 | 29% | 3 May → | ||
| 13–11 | 0.01 | 32% | 29 Apr → | ||
| 9–13 | 0.01 | 18% | 29 Apr → | ||
| 8–13 | 0.07 | 15% | 28 Apr → | ||
| 9–13 | -0.04 | 8% | 24 Apr → | ||
| 13–10 | -0.00 | 20% | 24 Apr → |
Match data via Leetify.