BuSheeZy — CS2 Stats
76561197972581267[U:1:12315539]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 51.3% | 52.8% |
| Shot accuracy | 15.8% | 13.7% |
| Kill/death ratio | 0.99 | 1.08 |
| Match win rate | 65.7% | 49.2% |
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.02 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side opener
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 86% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower positioning profile; lower 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
Areas to improve
T-side openings. Opening success drops from 49% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 54 | 23–31 | 43% | 0.02 | |
| S | 12 | 8–4 | 67% | 0.01 | |
| S | 8 | 6–2 | 75% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| S | 6 | 6–0 | 100% | 0.00 | |
| S | 6 | 6–0 | 100% | 0.05 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| — | 2 | 1–1 | 50% | 0.03 | |
| office | — | 1 | 1–0 | 100% | -0.03 |
| — | 1 | 1–0 | 100% | -0.04 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Anubis | 20 | 85% | 1.11 | 15.6 |
| Ancient | 16 | 69% | 0.98 | 13.1 |
| Dust2 | 16 | 69% | 1.25 | 15.9 |
| Mirage | 16 | 50% | 0.92 | 11.6 |
| Vertigo | 8 | 75% | 0.95 | 12.0 |
| Train | 4 | 50% | 0.78 | 11.5 |
| Inferno | 2 | 100% | 1.06 | 17.5 |
| Nuke | 1 | 0% | 0.93 | 14.0 |
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.7974° — above the 12° mark we flag
- 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 11.3174% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 54 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.07 | 8% | 26 Jul → | ||
| 6–13 | 0.07 | 14% | 21 Jul → | ||
| 13–10 | -0.04 | 7% | 26 Jun → | ||
| 13–8 | -0.07 | 11% | 26 Jun → | ||
| 13–10 | 0.03 | 12% | 22 Jun → | ||
| 9–13 | -0.05 | 15% | 15 Jun → | ||
| 10–13 | 0.09 | 14% | 2 Jun → | ||
| 13–5 | 0.02 | 17% | 2 Jun → | ||
| 8–13 | -0.04 | 12% | 31 May → | ||
| 10–13 | -0.03 | 6% | 31 May → | ||
| 9–13 | 0.05 | 14% | 31 May → | ||
| 9–13 | -0.01 | 9% | 31 May → | ||
| 10–13 | -0.04 | 18% | 31 May → | ||
| 13–7 | -0.02 | 14% | 31 May → | ||
| 6–13 | 0.01 | 6% | 30 May → | ||
| 13–8 | 0.07 | 8% | 30 May → | ||
| 12–12 | 0.02 | 11% | 30 May → | ||
| 9–13 | -0.01 | 13% | 26 May → | ||
| 13–7 | 0.09 | 8% | 25 May → | ||
| 13–5 | 0.05 | 16% | 25 May → | ||
| 13–9 | -0.01 | 5% | 24 May → | ||
| 12–12 | 0.15 | 18% | 24 May → | ||
| 8–13 | -0.03 | 11% | 24 May → | ||
| 13–4 | -0.02 | 16% | 24 May → | ||
| 13–5 | -0.01 | 5% | 22 May → | ||
| 1–13 | -0.09 | 12% | 22 May → | ||
| 8–13 | -0.01 | 3% | 22 May → | ||
| 13–10 | 0.02 | 10% | 22 May → | ||
| 4–13 | -0.02 | 12% | 22 May → | ||
| 10–13 | 0.02 | 17% | 22 May → | ||
| 8–13 | 0.08 | 18% | 22 May → | ||
| 13–8 | 0.07 | 17% | 20 May → | ||
| 13–9 | 0.10 | 15% | 20 May → | ||
| 5–0 | 0.04 | 8% | 20 May → | ||
| 9–13 | 0.08 | 19% | 15 May → | ||
| 12–12 | 0.05 | 18% | 15 May → | ||
| 9–13 | -0.05 | 14% | 11 May → | ||
| 13–4 | -0.01 | 23% | 11 May → | ||
| 9–13 | 0.19 | 16% | 6 May → | ||
| 8–13 | 0.03 | 29% | 6 May → | ||
| 13–9 | -0.05 | 8% | 1 May → | ||
| 13–6 | -0.01 | 6% | 1 May → | ||
| 13–10 | 0.09 | 9% | 1 May → | ||
| 6–13 | -0.05 | 8% | 1 May → | ||
| 13–2 | 0.01 | 7% | 1 May → | ||
| 9–13 | 0.09 | 10% | 1 May → | ||
| 10–13 | -0.04 | 8% | 29 Apr → | ||
| 5–13 | 0.04 | 29% | 29 Apr → | ||
| 1–7 | -0.02 | 20% | 29 Apr → | ||
| 12–12 | 0.03 | 16% | 29 Apr → | ||
| 13–4 | 0.01 | 16% | 29 Apr → | ||
| 13–10 | 0.10 | 13% | 29 Apr → | ||
| 13–7 | -0.00 | 14% | 29 Apr → | ||
| 13–11 | 0.03 | 20% | 29 Apr → | ||
| 12–12 | 0.04 | 14% | 29 Apr → | ||
| 2–13 | -0.08 | 13% | 29 Apr → | ||
| 13–6 | 0.04 | 5% | 29 Apr → | ||
| 8–13 | -0.04 | 7% | 29 Apr → | ||
| office | 13–5 | -0.03 | 15% | 28 Apr → | |
| 13–10 | -0.05 | 12% | 28 Apr → | ||
| 13–1 | 0.06 | 29% | 28 Apr → | ||
| 13–4 | 0.04 | 14% | 28 Apr → | ||
| 13–1 | 0.06 | 14% | 28 Apr → | ||
| 13–11 | 0.03 | 10% | 28 Apr → | ||
| 13–4 | 0.09 | 13% | 27 Apr → | ||
| 13–5 | 0.03 | 16% | 27 Apr → | ||
| 6–1 | 0.08 | 14% | 27 Apr → | ||
| 13–5 | 0.05 | 16% | 27 Apr → | ||
| 13–6 | -0.01 | 8% | 27 Apr → | ||
| 13–9 | -0.01 | 21% | 27 Apr → | ||
| 13–7 | 0.00 | 14% | 27 Apr → | ||
| 4–1 | -0.04 | 0% | 27 Apr → | ||
| 11–13 | 0.14 | 13% | 24 Apr → | ||
| 13–4 | 0.04 | 8% | 24 Apr → | ||
| 13–8 | 0.04 | 8% | 24 Apr → | ||
| 13–9 | 0.03 | 17% | 24 Apr → | ||
| 13–3 | 0.05 | 11% | 24 Apr → | ||
| 13–4 | 0.07 | 14% | 24 Apr → | ||
| 13–4 | -0.01 | 11% | 22 Apr → | ||
| 5–13 | -0.01 | 9% | 22 Apr → | ||
| 13–1 | 0.06 | 13% | 22 Apr → | ||
| 13–5 | 0.07 | 14% | 22 Apr → | ||
| 1–13 | -0.10 | 14% | 22 Apr → | ||
| 11–13 | 0.05 | 9% | 22 Apr → | ||
| 13–10 | -0.03 | 16% | 20 Apr → | ||
| 13–8 | -0.00 | 21% | 13 Apr → | ||
| 13–4 | -0.01 | 14% | 13 Apr → | ||
| 13–7 | -0.03 | 12% | 11 Apr → | ||
| 13–11 | 0.10 | 12% | 11 Apr → | ||
| 8–13 | -0.01 | 17% | 10 Apr → | ||
| 13–8 | 0.07 | 18% | 10 Apr → | ||
| 13–11 | -0.02 | 19% | 10 Apr → | ||
| 13–11 | 0.07 | 9% | 10 Apr → | ||
| 12–12 | 0.04 | 12% | 7 Apr → | ||
| 5–13 | -0.07 | 9% | 6 Apr → | ||
| 6–13 | 0.02 | 8% | 6 Apr → | ||
| 11–13 | -0.04 | 11% | 6 Apr → | ||
| 13–10 | -0.06 | 10% | 6 Apr → | ||
| 6–13 | -0.05 | 18% | 1 Apr → | ||
| 7–13 | -0.02 | 18% | 1 Apr → |
Match data via Leetify.