Busty — CS2 Stats
US76561198128312732[U:1:168047004]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=201), 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 | Pink band median |
|---|---|---|
| Headshot rate | 37.2% | 48.1% |
| Shot accuracy | 15.3% | 12.9% |
| Kill/death ratio | 1.04 | 1.08 |
| Match win rate | 91.5% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Strong CT-side openerLimited 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 ropz 85% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency; 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 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 556ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.0/10 (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 |
|---|---|---|---|---|---|
| D | 22 | 6–16 | 27% | -0.01 | |
| B | 20 | 10–10 | 50% | -0.02 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| A | 11 | 7–4 | 64% | -0.00 | |
| B | 11 | 5–6 | 45% | 0.00 | |
| A | 10 | 6–4 | 60% | 0.00 | |
| A | 9 | 5–4 | 56% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Ancient 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 2 | 100% | 0.98 | 17.0 |
| Anubis | 1 | 100% | 2.30 | 23.0 |
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.
- 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 13.0266% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7772 — below the 4 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 37.0488% — 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.
27% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 1–9 | -0.20 | 0% | 19 Aug → | ||
| 9–4 | 0.13 | 21% | 19 Aug → | ||
| 13–2 | 0.02 | 9% | 19 Aug → | ||
| 8–13 | -0.07 | 18% | 19 Aug → | ||
| 1–13 | -0.09 | 13% | 19 Aug → | ||
| 0–4 | 0.06 | 33% | 19 Aug → | ||
| 13–8 | -0.01 | 2% | 19 Aug → | ||
| 13–3 | -0.01 | 13% | 17 Aug → | ||
| 15–15 | -0.02 | 10% | 17 Aug → | ||
| 13–10 | 0.07 | 13% | 17 Aug → | ||
| 16–12 | 0.02 | 14% | 17 Aug → | ||
| 6–13 | -0.06 | 15% | 17 Aug → | ||
| 13–9 | -0.02 | 10% | 17 Aug → | ||
| 13–7 | -0.03 | 13% | 17 Aug → | ||
| 10–13 | -0.02 | 17% | 17 Aug → | ||
| 13–6 | -0.03 | 10% | 17 Aug → | ||
| 8–13 | -0.00 | 8% | 17 Aug → | ||
| 13–3 | 0.02 | 15% | 16 Aug → | ||
| 6–13 | -0.02 | 10% | 16 Aug → | ||
| 9–13 | 0.03 | 17% | 16 Aug → | ||
| 9–13 | 0.02 | 14% | 16 Aug → | ||
| 13–7 | -0.01 | 7% | 16 Aug → | ||
| 3–13 | -0.00 | 23% | 16 Aug → | ||
| 13–5 | 0.00 | 17% | 15 Aug → | ||
| 11–13 | -0.04 | 5% | 15 Aug → | ||
| 10–13 | -0.06 | 14% | 15 Aug → | ||
| 13–5 | -0.01 | 14% | 15 Aug → | ||
| 13–4 | -0.01 | 13% | 15 Aug → | ||
| 9–3 | 0.25 | 21% | 14 Aug → | ||
| 13–8 | 0.04 | 17% | 14 Aug → | ||
| 6–13 | -0.05 | 8% | 14 Aug → | ||
| 13–7 | 0.03 | 15% | 14 Aug → | ||
| 4–13 | -0.03 | 26% | 14 Aug → | ||
| 13–9 | -0.00 | 10% | 14 Aug → | ||
| 9–13 | -0.06 | 10% | 14 Aug → | ||
| 13–10 | 0.02 | 19% | 14 Aug → | ||
| 13–10 | 0.03 | 17% | 14 Aug → | ||
| 3–13 | -0.04 | 10% | 14 Aug → | ||
| 13–8 | 0.02 | 18% | 14 Aug → | ||
| 13–10 | 0.01 | 21% | 14 Aug → | ||
| 7–13 | -0.00 | 11% | 14 Aug → | ||
| 15–15 | -0.04 | 18% | 13 Aug → | ||
| 16–13 | 0.01 | 12% | 13 Aug → | ||
| 13–7 | 0.02 | 5% | 13 Aug → | ||
| 9–13 | -0.01 | 9% | 13 Aug → | ||
| 13–8 | 0.05 | 6% | 13 Aug → | ||
| 6–13 | -0.04 | 9% | 13 Aug → | ||
| 13–0 | 0.05 | 10% | 13 Aug → | ||
| 7–13 | 0.00 | 14% | 12 Aug → | ||
| 13–16 | -0.02 | 13% | 12 Aug → | ||
| 14–16 | -0.04 | 17% | 12 Aug → | ||
| 8–13 | -0.01 | 12% | 12 Aug → | ||
| 10–13 | 0.04 | 8% | 12 Aug → | ||
| 13–8 | -0.04 | 15% | 12 Aug → | ||
| 6–13 | -0.03 | 14% | 12 Aug → | ||
| 13–8 | 0.05 | 22% | 11 Aug → | ||
| 13–16 | -0.05 | 11% | 11 Aug → | ||
| 15–15 | -0.03 | 7% | 11 Aug → | ||
| 14–16 | 0.01 | 11% | 11 Aug → | ||
| 13–9 | -0.01 | 10% | 11 Aug → | ||
| 13–5 | 0.01 | 15% | 11 Aug → | ||
| 9–13 | -0.03 | 8% | 11 Aug → | ||
| 11–13 | -0.03 | 15% | 11 Aug → | ||
| 11–13 | -0.04 | 24% | 10 Aug → | ||
| 13–9 | 0.10 | 22% | 10 Aug → | ||
| 6–13 | -0.04 | 13% | 9 Aug → | ||
| 13–6 | -0.03 | 10% | 9 Aug → | ||
| 13–4 | -0.00 | 13% | 9 Aug → | ||
| 11–13 | -0.06 | 14% | 9 Aug → | ||
| 13–3 | 0.03 | 17% | 9 Aug → | ||
| 13–11 | -0.02 | 14% | 8 Aug → | ||
| 1–13 | -0.07 | 18% | 8 Aug → | ||
| 4–13 | -0.01 | 8% | 8 Aug → | ||
| 13–11 | -0.06 | 18% | 8 Aug → | ||
| 13–7 | -0.08 | 22% | 8 Aug → | ||
| 6–13 | -0.05 | 24% | 8 Aug → | ||
| 13–10 | 0.02 | 13% | 7 Aug → | ||
| 13–2 | 0.11 | 6% | 7 Aug → | ||
| 4–13 | 0.03 | 19% | 7 Aug → | ||
| 13–7 | -0.02 | 10% | 6 Aug → | ||
| 13–11 | 0.03 | 13% | 6 Aug → | ||
| 13–11 | 0.00 | 12% | 6 Aug → | ||
| 4–13 | -0.11 | 12% | 6 Aug → | ||
| 8–13 | 0.02 | 11% | 6 Aug → | ||
| 2–13 | -0.06 | 17% | 6 Aug → | ||
| 5–13 | -0.05 | 18% | 6 Aug → | ||
| 11–13 | -0.05 | 14% | 5 Aug → | ||
| 13–8 | 0.01 | 15% | 5 Aug → | ||
| 2–13 | -0.09 | 14% | 5 Aug → | ||
| 7–13 | -0.11 | 4% | 5 Aug → | ||
| 13–7 | -0.07 | 15% | 5 Aug → | ||
| 4–13 | -0.06 | 15% | 5 Aug → | ||
| 6–13 | -0.03 | 12% | 5 Aug → | ||
| 13–9 | 0.04 | 13% | 2 Aug → | ||
| 13–7 | 0.06 | 14% | 2 Aug → | ||
| 7–13 | -0.01 | 7% | 1 Aug → | ||
| 13–10 | 0.05 | 16% | 1 Aug → | ||
| 5–13 | -0.08 | 17% | 1 Aug → | ||
| 14–16 | -0.01 | 11% | 1 Aug → | ||
| 16–14 | 0.01 | 16% | 1 Aug → |
Match data via Leetify.