BULLDOZER — CS2 Stats
76561198327228792[U:1:366963064]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 54.0% | 51.9% |
| Shot accuracy | 18.3% | 13.7% |
| Kill/death ratio | 0.91 | 1.08 |
| Match win rate | 45.3% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingStrong 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 sh1ro 94% playstyle similarity
Most alike: opening-fight frequency, positioning 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 91 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 58% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 577ms 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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.01 | |
| A | 22 | 12–10 | 55% | 0.02 | |
| C | 21 | 9–12 | 43% | -0.01 | |
| A | 16 | 9–7 | 56% | 0.03 | |
| D | 12 | 4–8 | 33% | 0.02 | |
| — | 4 | 1–3 | 25% | -0.05 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Anubis 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 429 | 56% | 1.12 | 16.2 |
| Ancient | 184 | 55% | 1.00 | 14.9 |
| Dust2 | 162 | 54% | 1.05 | 15.9 |
| Inferno | 153 | 50% | 1.06 | 15.5 |
| Anubis | 140 | 55% | 1.03 | 15.9 |
| Vertigo | 56 | 50% | 0.94 | 14.7 |
| Overpass | 14 | 43% | 0.91 | 15.9 |
| Nuke | 10 | 40% | 0.86 | 12.2 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 5–13 | 0.07 | 27% | 4 Aug → | ||
| 13–2 | 0.07 | 30% | 4 Aug → | ||
| 8–13 | 0.03 | 24% | 4 Aug → | ||
| 14–16 | 0.03 | 23% | 2 Aug → | ||
| 11–13 | 0.01 | 32% | 2 Aug → | ||
| 13–2 | 0.02 | 34% | 22 Jul → | ||
| 5–13 | 0.01 | 34% | 19 Jul → | ||
| 13–8 | -0.02 | 31% | 9 Jul → | ||
| 13–4 | 0.04 | 29% | 23 Jun → | ||
| 13–10 | 0.03 | 22% | 22 Jun → | ||
| 8–13 | -0.04 | 5% | 20 Jun → | ||
| 4–13 | -0.01 | 52% | 15 Jun → | ||
| 13–11 | 0.01 | 38% | 14 Jun → | ||
| 19–17 | 0.00 | 17% | 14 Jun → | ||
| 6–13 | -0.04 | 16% | 14 Jun → | ||
| 13–5 | 0.04 | 20% | 10 Jun → | ||
| 6–13 | 0.03 | 32% | 9 Jun → | ||
| 4–13 | -0.02 | 29% | 2 Jun → | ||
| 13–5 | 0.05 | 36% | 15 May → | ||
| 13–10 | 0.01 | 31% | 12 May → | ||
| 8–13 | 0.08 | 32% | 8 May → | ||
| 13–9 | -0.01 | 16% | 8 May → | ||
| 15–15 | 0.04 | 25% | 6 May → | ||
| 6–13 | -0.03 | 30% | 4 May → | ||
| 4–13 | -0.07 | 14% | 4 May → | ||
| 13–4 | 0.01 | 26% | 25 Apr → | ||
| 5–13 | -0.02 | 29% | 25 Apr → | ||
| 13–9 | -0.04 | 26% | 25 Apr → | ||
| 10–13 | 0.05 | 21% | 23 Apr → | ||
| 13–7 | -0.02 | 32% | 23 Apr → | ||
| 13–10 | 0.01 | 27% | 22 Apr → | ||
| 13–6 | 0.03 | 21% | 22 Apr → | ||
| 13–3 | 0.06 | 24% | 21 Apr → | ||
| 13–6 | 0.05 | 20% | 13 Apr → | ||
| 4–13 | -0.08 | 41% | 12 Apr → | ||
| 5–13 | -0.04 | 34% | 10 Apr → | ||
| 5–13 | -0.04 | 24% | 10 Apr → | ||
| 13–5 | 0.03 | 34% | 10 Apr → | ||
| 13–6 | 0.07 | 24% | 8 Apr → | ||
| 13–9 | 0.02 | 18% | 1 Apr → | ||
| 9–13 | 0.01 | 26% | 31 Mar → | ||
| 13–11 | -0.04 | 26% | 27 Mar → | ||
| 8–13 | -0.04 | 30% | 27 Mar → | ||
| 2–13 | 0.00 | 41% | 27 Mar → | ||
| 9–13 | -0.02 | 21% | 27 Mar → | ||
| 3–13 | -0.03 | 21% | 23 Mar → | ||
| 13–6 | -0.01 | 17% | 23 Mar → | ||
| 1–13 | -0.06 | 35% | 23 Mar → | ||
| 13–11 | -0.03 | 23% | 23 Mar → | ||
| 11–13 | 0.02 | 29% | 21 Mar → | ||
| 14–16 | 0.04 | 25% | 21 Mar → | ||
| 10–13 | -0.02 | 27% | 19 Mar → | ||
| 7–13 | -0.04 | 22% | 19 Mar → | ||
| 8–13 | 0.02 | 29% | 11 Mar → | ||
| 0–7 | -0.05 | 18% | 11 Mar → | ||
| 13–9 | 0.06 | 31% | 11 Mar → | ||
| 5–13 | 0.02 | 29% | 4 Mar → | ||
| 11–13 | 0.02 | 19% | 4 Mar → | ||
| 2–11 | -0.04 | 43% | 4 Mar → | ||
| 13–10 | 0.01 | 35% | 4 Mar → | ||
| 13–9 | 0.01 | 15% | 4 Mar → | ||
| 13–11 | 0.01 | 38% | 4 Mar → | ||
| 16–14 | 0.01 | 32% | 4 Mar → | ||
| 13–6 | 0.03 | 22% | 2 Mar → | ||
| 6–13 | 0.01 | 30% | 2 Mar → | ||
| 4–9 | -0.12 | 10% | 2 Mar → | ||
| 11–1 | 0.08 | 18% | 2 Mar → | ||
| 11–13 | 0.14 | 23% | 2 Mar → | ||
| 8–13 | 0.05 | 33% | 26 Feb → | ||
| 13–8 | 0.05 | 20% | 26 Feb → | ||
| 8–13 | -0.01 | 43% | 25 Feb → | ||
| 13–10 | 0.06 | 19% | 25 Feb → | ||
| 13–3 | 0.00 | 17% | 25 Feb → | ||
| 13–6 | -0.01 | 35% | 25 Feb → | ||
| 13–11 | 0.02 | 27% | 24 Feb → | ||
| 5–13 | -0.06 | 25% | 24 Feb → | ||
| 9–13 | 0.02 | 29% | 23 Feb → | ||
| 8–13 | -0.07 | 47% | 23 Feb → | ||
| 4–13 | -0.07 | 19% | 22 Feb → | ||
| 13–8 | 0.01 | 24% | 22 Feb → | ||
| 13–2 | 0.14 | 28% | 22 Feb → | ||
| 7–9 | -0.03 | 31% | 22 Feb → | ||
| 9–2 | 0.16 | 38% | 22 Feb → | ||
| 5–13 | 0.06 | 33% | 21 Feb → | ||
| 8–13 | 0.01 | 27% | 21 Feb → | ||
| 13–5 | 0.10 | 40% | 17 Feb → | ||
| 9–13 | 0.02 | 32% | 17 Feb → | ||
| 13–2 | 0.12 | 34% | 17 Feb → | ||
| 13–7 | -0.02 | 36% | 17 Feb → | ||
| 13–4 | 0.07 | 27% | 17 Feb → | ||
| 13–9 | 0.02 | 24% | 17 Feb → | ||
| 7–13 | -0.04 | 59% | 15 Feb → | ||
| 13–5 | 0.08 | 18% | 15 Feb → | ||
| 16–13 | -0.01 | 28% | 15 Feb → | ||
| 0–13 | -0.10 | 73% | 15 Feb → | ||
| 10–13 | -0.01 | 37% | 15 Feb → | ||
| 13–16 | 0.04 | 25% | 15 Feb → | ||
| 13–8 | 0.12 | 43% | 15 Feb → | ||
| 6–13 | 0.02 | 45% | 8 Feb → | ||
| 8–13 | 0.01 | 48% | 8 Feb → |
Match data via Leetify.