loose booty dust — CS2 Stats
76561198060340421[U:1:100074693]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.04 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 82% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower utility contribution; 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 44% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 601ms 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 4.8/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 19 | 8–11 | 42% | -0.00 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| office | D | 11 | 3–8 | 27% | 0.01 |
| A | 10 | 6–4 | 60% | 0.01 | |
| B | 8 | 4–4 | 50% | 0.00 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| S | 7 | 5–2 | 71% | 0.05 | |
| B | 6 | 3–3 | 50% | 0.04 | |
| S | 5 | 4–1 | 80% | 0.04 | |
| — | 4 | 4–0 | 100% | -0.01 | |
| — | 4 | 2–2 | 50% | 0.05 | |
| alpine | — | 2 | 2–0 | 100% | 0.09 |
| warden | — | 1 | 1–0 | 100% | 0.08 |
| stronghold | — | 1 | 1–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 20 | 55% | 0.84 | 12.9 |
| Inferno | 12 | 58% | 1.25 | 16.0 |
| Dust2 | 11 | 55% | 0.74 | 11.4 |
| Ancient | 4 | 50% | 0.90 | 16.8 |
| Nuke | 3 | 33% | 0.84 | 16.0 |
| Overpass | 3 | 67% | 1.12 | 12.7 |
| Train | 2 | 0% | 0.64 | 10.5 |
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 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 23.9358% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.07 | 6% | 16 Aug → | ||
| 13–3 | -0.01 | 10% | 16 Aug → | ||
| 13–2 | -0.03 | 22% | 26 Jun → | ||
| 6–13 | -0.05 | 15% | 26 Jun → | ||
| 10–3 | 0.05 | 33% | 26 Jun → | ||
| 9–13 | -0.06 | 20% | 25 Jun → | ||
| 9–13 | -0.03 | 17% | 19 Jun → | ||
| 10–13 | -0.04 | 18% | 19 Jun → | ||
| 10–13 | 0.01 | 11% | 19 Jun → | ||
| 11–13 | -0.01 | 15% | 18 Jun → | ||
| 13–10 | 0.03 | 29% | 17 Jun → | ||
| 6–13 | 0.06 | 15% | 17 Jun → | ||
| 14–16 | -0.05 | 8% | 16 Jun → | ||
| 13–10 | -0.03 | 19% | 16 Jun → | ||
| 16–14 | 0.00 | 15% | 16 Jun → | ||
| 3–13 | -0.03 | 13% | 14 Jun → | ||
| 13–2 | 0.10 | 10% | 13 Jun → | ||
| 13–7 | 0.03 | 22% | 12 Jun → | ||
| 13–9 | -0.00 | 33% | 12 Jun → | ||
| 13–7 | 0.02 | 11% | 12 Jun → | ||
| 5–13 | 0.02 | 23% | 12 Jun → | ||
| 9–13 | -0.05 | 24% | 11 Jun → | ||
| office | 13–11 | 0.02 | 20% | 11 Jun → | |
| 12–12 | -0.00 | 21% | 11 Jun → | ||
| alpine | 8–0 | 0.07 | 30% | 10 Jun → | |
| 13–9 | 0.11 | 21% | 10 Jun → | ||
| 16–14 | 0.04 | 21% | 9 Jun → | ||
| 13–5 | 0.04 | 20% | 9 Jun → | ||
| 13–1 | 0.01 | 16% | 9 Jun → | ||
| 13–1 | 0.07 | 26% | 9 Jun → | ||
| 13–10 | 0.04 | 21% | 9 Jun → | ||
| office | 12–12 | 0.02 | 26% | 9 Jun → | |
| 12–12 | -0.02 | 15% | 9 Jun → | ||
| 13–4 | 0.06 | 23% | 9 Jun → | ||
| 13–7 | 0.01 | 9% | 8 Jun → | ||
| 13–3 | -0.01 | 0% | 8 Jun → | ||
| 13–8 | -0.05 | 5% | 8 Jun → | ||
| 5–13 | -0.04 | 18% | 27 May → | ||
| 13–5 | -0.02 | 9% | 27 May → | ||
| 11–13 | -0.03 | 12% | 27 May → | ||
| 13–3 | 0.01 | 9% | 27 May → | ||
| 8–13 | -0.02 | 34% | 27 May → | ||
| 7–13 | -0.07 | 25% | 26 May → | ||
| 6–13 | 0.04 | 16% | 26 May → | ||
| 13–10 | 0.02 | 12% | 26 May → | ||
| 3–13 | -0.04 | 19% | 20 May → | ||
| 13–4 | 0.01 | 29% | 20 May → | ||
| 12–12 | 0.02 | 28% | 20 May → | ||
| 13–4 | -0.03 | 25% | 1 May → | ||
| 5–13 | -0.06 | 17% | 1 May → | ||
| 5–13 | -0.00 | 19% | 1 May → | ||
| 13–11 | -0.01 | 21% | 1 May → | ||
| 13–4 | -0.04 | 30% | 24 Apr → | ||
| office | 6–13 | -0.00 | 13% | 18 Apr → | |
| office | 10–13 | 0.02 | 25% | 18 Apr → | |
| office | 13–7 | 0.04 | 25% | 18 Apr → | |
| 10–13 | -0.05 | 22% | 8 Apr → | ||
| 1–13 | -0.03 | 27% | 8 Apr → | ||
| 13–4 | -0.01 | 19% | 8 Apr → | ||
| 13–5 | 0.11 | 24% | 2 Apr → | ||
| 7–13 | -0.05 | 15% | 2 Apr → | ||
| office | 7–13 | 0.02 | 20% | 31 Mar → | |
| 13–6 | -0.07 | 25% | 31 Mar → | ||
| 13–7 | 0.04 | 8% | 31 Mar → | ||
| 6–13 | -0.06 | 28% | 31 Mar → | ||
| 11–13 | -0.00 | 24% | 27 Mar → | ||
| 13–11 | 0.02 | 14% | 26 Mar → | ||
| 13–11 | 0.01 | 12% | 26 Mar → | ||
| 13–6 | 0.14 | 10% | 26 Mar → | ||
| 13–4 | 0.06 | 25% | 25 Mar → | ||
| 13–6 | 0.04 | 33% | 25 Mar → | ||
| 12–12 | 0.04 | 22% | 25 Mar → | ||
| office | 6–13 | 0.01 | 0% | 20 Mar → | |
| office | 13–6 | 0.05 | 29% | 20 Mar → | |
| 13–11 | 0.02 | 21% | 17 Mar → | ||
| 10–13 | 0.12 | 20% | 17 Mar → | ||
| 13–5 | 0.09 | 16% | 17 Mar → | ||
| 13–4 | 0.08 | 14% | 10 Mar → | ||
| 6–13 | -0.04 | 17% | 10 Mar → | ||
| 13–6 | 0.15 | 37% | 7 Feb → | ||
| 8–13 | 0.08 | 15% | 7 Feb → | ||
| 4–13 | -0.02 | 22% | 7 Feb → | ||
| warden | 13–6 | 0.08 | 35% | 7 Feb → | |
| 8–13 | 0.02 | 24% | 7 Feb → | ||
| 13–11 | -0.00 | 16% | 7 Feb → | ||
| 9–13 | 0.08 | 13% | 6 Feb → | ||
| 2–13 | -0.01 | 18% | 6 Feb → | ||
| 16–14 | 0.03 | 21% | 29 Jan → | ||
| 3–13 | -0.09 | 27% | 29 Jan → | ||
| 13–5 | 0.09 | 21% | 29 Jan → | ||
| office | 12–12 | -0.03 | 13% | 25 Jan → | |
| alpine | 13–11 | 0.12 | 13% | 24 Jan → | |
| stronghold | 13–10 | 0.05 | 16% | 24 Jan → | |
| office | 8–13 | -0.05 | 33% | 11 Jan → | |
| 12–12 | -0.01 | 14% | 19 Dec → | ||
| office | 12–12 | -0.01 | 20% | 16 Dec → | |
| 13–7 | 0.05 | 21% | 4 Dec → | ||
| 13–9 | 0.01 | 22% | 4 Dec → | ||
| 11–4 | 0.00 | 23% | 4 Dec → | ||
| 13–6 | -0.00 | 14% | 31 Oct → |
Match data via Leetify.