BushMan (Man in a Bush) — CS2 Stats
76561198799710978[U:1:839445250]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 | 32.2% | 48.1% |
| Shot accuracy | 11.8% | 12.9% |
| Kill/death ratio | 1.07 | 1.08 |
| Match win rate | 45.9% | 46.5% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.06 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 b1t 90% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Reaction time. 564ms 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 6.1/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.03 | |
| A | 12 | 7–5 | 58% | 0.02 | |
| A | 10 | 6–4 | 60% | 0.01 | |
| D | 10 | 3–7 | 30% | 0.01 | |
| boulder | B | 10 | 5–5 | 50% | 0.07 |
| C | 7 | 3–4 | 43% | 0.03 | |
| C | 7 | 3–4 | 43% | 0.02 | |
| A | 5 | 3–2 | 60% | 0.07 | |
| fachwerk | C | 5 | 2–3 | 40% | 0.05 |
| — | 4 | 1–3 | 25% | -0.02 | |
| office | — | 4 | 2–2 | 50% | 0.03 |
| — | 1 | 0–1 | 0% | 0.06 | |
| shelter | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | 0.05 |
| — | 1 | 1–0 | 100% | 0.06 |
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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 50 | 38% | 1.00 | 15.1 |
| Ancient | 40 | 68% | 1.10 | 15.4 |
| Dust2 | 37 | 59% | 1.06 | 15.7 |
| Inferno | 33 | 48% | 1.10 | 16.2 |
| Nuke | 25 | 72% | 1.30 | 16.9 |
| Anubis | 10 | 50% | 1.00 | 16.9 |
| Train | 5 | 80% | 1.15 | 19.0 |
| Overpass | 4 | 50% | 1.10 | 15.8 |
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 13.392% — 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.
30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.00 | 11% | 26 Aug → | ||
| 3–13 | -0.02 | 6% | 26 Aug → | ||
| 4–13 | -0.04 | 10% | 26 Aug → | ||
| 2–13 | -0.06 | 5% | 26 Aug → | ||
| 13–7 | 0.10 | 19% | 26 Aug → | ||
| 13–7 | 0.13 | 16% | 11 Aug → | ||
| 13–11 | -0.04 | 16% | 11 Aug → | ||
| office | 12–12 | 0.09 | 7% | 4 Aug → | |
| 13–10 | -0.03 | 16% | 3 Aug → | ||
| 2–13 | -0.08 | 9% | 1 Aug → | ||
| 13–7 | 0.10 | 16% | 1 Aug → | ||
| 6–13 | -0.04 | 18% | 1 Aug → | ||
| 13–11 | 0.05 | 14% | 1 Aug → | ||
| 13–8 | 0.03 | 18% | 1 Aug → | ||
| 5–13 | 0.10 | 11% | 25 Jul → | ||
| 13–10 | 0.05 | 14% | 25 Jul → | ||
| 13–7 | 0.00 | 27% | 25 Jul → | ||
| 9–13 | 0.04 | 15% | 25 Jul → | ||
| 13–11 | 0.16 | 10% | 25 Jul → | ||
| 13–5 | 0.13 | 24% | 24 Jul → | ||
| 12–12 | 0.09 | 10% | 22 Jul → | ||
| 6–13 | 0.07 | 14% | 21 Jul → | ||
| 13–0 | 0.09 | 14% | 21 Jul → | ||
| 8–13 | 0.04 | 12% | 21 Jul → | ||
| boulder | 12–12 | 0.02 | 15% | 18 Jul → | |
| 13–11 | 0.14 | 4% | 18 Jul → | ||
| 13–3 | 0.22 | 22% | 18 Jul → | ||
| 12–12 | -0.07 | 22% | 18 Jul → | ||
| 16–14 | -0.03 | 9% | 17 Jul → | ||
| 10–13 | -0.05 | 8% | 17 Jul → | ||
| 11–13 | -0.01 | 15% | 17 Jul → | ||
| 11–13 | 0.01 | 17% | 17 Jul → | ||
| 13–9 | 0.02 | 15% | 17 Jul → | ||
| 12–12 | 0.06 | 12% | 17 Jul → | ||
| fachwerk | 13–6 | 0.11 | 14% | 17 Jul → | |
| 12–12 | 0.06 | 12% | 17 Jul → | ||
| 4–10 | -0.02 | 0% | 16 Jul → | ||
| 13–5 | 0.08 | 9% | 15 Jul → | ||
| 9–13 | -0.03 | 6% | 15 Jul → | ||
| 12–12 | 0.02 | 27% | 15 Jul → | ||
| 4–13 | -0.04 | 11% | 15 Jul → | ||
| 10–13 | -0.07 | 12% | 15 Jul → | ||
| boulder | 8–13 | 0.09 | 19% | 13 Jul → | |
| boulder | 4–13 | 0.01 | 8% | 13 Jul → | |
| boulder | 13–6 | 0.11 | 11% | 13 Jul → | |
| 13–3 | 0.09 | 22% | 13 Jul → | ||
| 13–6 | 0.02 | 21% | 13 Jul → | ||
| boulder | 13–3 | 0.20 | 17% | 13 Jul → | |
| fachwerk | 7–13 | -0.01 | 10% | 13 Jul → | |
| 12–12 | 0.02 | 14% | 12 Jul → | ||
| 13–5 | 0.01 | 6% | 12 Jul → | ||
| 2–0 | 0.00 | 0% | 12 Jul → | ||
| 13–4 | -0.04 | 11% | 12 Jul → | ||
| 13–8 | 0.01 | 10% | 12 Jul → | ||
| boulder | 7–13 | -0.05 | 11% | 11 Jul → | |
| boulder | 13–7 | 0.03 | 10% | 11 Jul → | |
| boulder | 13–4 | 0.07 | 15% | 11 Jul → | |
| fachwerk | 7–13 | 0.09 | 27% | 11 Jul → | |
| boulder | 13–4 | 0.09 | 16% | 10 Jul → | |
| 12–12 | -0.03 | 11% | 10 Jul → | ||
| 12–12 | 0.13 | 20% | 10 Jul → | ||
| fachwerk | 7–7 | 0.04 | 11% | 9 Jul → | |
| 12–12 | 0.03 | 24% | 9 Jul → | ||
| shelter | 10–13 | -0.04 | 31% | 9 Jul → | |
| fachwerk | 13–9 | 0.02 | 9% | 9 Jul → | |
| boulder | 12–12 | 0.07 | 12% | 9 Jul → | |
| 6–13 | -0.05 | 5% | 8 Jul → | ||
| 13–11 | -0.00 | 11% | 6 Jul → | ||
| 10–13 | 0.02 | 21% | 6 Jul → | ||
| 13–1 | -0.03 | 8% | 6 Jul → | ||
| 4–13 | -0.06 | 8% | 6 Jul → | ||
| 11–13 | 0.09 | 18% | 6 Jul → | ||
| 10–13 | 0.06 | 9% | 6 Jul → | ||
| 9–13 | 0.05 | 7% | 4 Jul → | ||
| 13–5 | 0.04 | 5% | 4 Jul → | ||
| 16–13 | 0.06 | 7% | 4 Jul → | ||
| 13–6 | 0.04 | 5% | 4 Jul → | ||
| alpine | 3–13 | 0.05 | 7% | 3 Jul → | |
| office | 13–7 | 0.01 | 20% | 3 Jul → | |
| 8–13 | -0.02 | 14% | 3 Jul → | ||
| 13–9 | 0.06 | 10% | 3 Jul → | ||
| 13–5 | -0.07 | 14% | 3 Jul → | ||
| 13–9 | 0.11 | 17% | 2 Jul → | ||
| 13–9 | 0.11 | 12% | 2 Jul → | ||
| office | 13–6 | 0.01 | 32% | 2 Jul → | |
| 13–6 | 0.04 | 32% | 2 Jul → | ||
| 13–5 | 0.09 | 13% | 2 Jul → | ||
| 13–11 | 0.01 | 10% | 2 Jul → | ||
| 9–13 | -0.06 | 12% | 1 Jul → | ||
| 10–13 | -0.00 | 6% | 1 Jul → | ||
| 2–13 | 0.01 | 13% | 1 Jul → | ||
| 16–14 | 0.01 | 17% | 30 Jun → | ||
| 2–13 | -0.10 | 3% | 30 Jun → | ||
| 13–11 | -0.00 | 13% | 30 Jun → | ||
| 10–13 | 0.00 | 5% | 29 Jun → | ||
| 13–5 | 0.03 | 8% | 29 Jun → | ||
| 8–13 | -0.02 | 10% | 29 Jun → | ||
| 13–10 | 0.01 | 5% | 29 Jun → | ||
| office | 12–12 | -0.01 | 11% | 28 Jun → | |
| 13–16 | 0.00 | 4% | 28 Jun → |
Match data via Leetify.