Burken69 — CS2 Stats
SE76561198295792812[U:1:335527084]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | 45.6% | 52.0% |
| Shot accuracy | 8.5% | 13.7% |
| Kill/death ratio | 0.81 | 1.08 |
| Match win rate | 44.7% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.04 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 95% playstyle similarity
Most alike: positioning profile, opening-duel success.
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 86 — 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.
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 6.8/10 (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 | 36 | 21–15 | 58% | 0.00 | |
| B | 23 | 12–11 | 52% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| A | 8 | 5–3 | 63% | -0.02 | |
| S | 7 | 5–2 | 71% | 0.04 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| C | 5 | 2–3 | 40% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| poseidon | — | 1 | 0–1 | 0% | -0.09 |
| — | 1 | 0–1 | 0% | -0.09 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 620 | 51% | 1.08 | 14.9 |
| Ancient | 342 | 53% | 1.01 | 14.8 |
| Anubis | 263 | 48% | 1.09 | 15.1 |
| Inferno | 143 | 56% | 1.12 | 14.4 |
| Dust2 | 60 | 45% | 1.03 | 14.1 |
| Overpass | 56 | 52% | 1.22 | 14.6 |
| Train | 48 | 65% | 1.03 | 14.9 |
| Vertigo | 38 | 53% | 1.11 | 15.4 |
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 37.8076% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.04 | 21% | 18 Aug → | ||
| 13–10 | 0.05 | 22% | 14 Aug → | ||
| 9–13 | -0.02 | 13% | 11 Aug → | ||
| 8–13 | 0.04 | 16% | 6 Aug → | ||
| 13–5 | 0.03 | 29% | 5 Aug → | ||
| 9–13 | 0.01 | 18% | 4 Aug → | ||
| 5–13 | -0.03 | 20% | 3 Aug → | ||
| 14–16 | 0.01 | 12% | 1 Aug → | ||
| 16–13 | 0.10 | 19% | 30 Jul → | ||
| 7–13 | -0.03 | 22% | 29 Jul → | ||
| 7–13 | -0.06 | 23% | 26 Jul → | ||
| 13–10 | 0.00 | 8% | 24 Jul → | ||
| 13–4 | -0.06 | 20% | 23 Jul → | ||
| 13–10 | -0.02 | 17% | 7 Jul → | ||
| 10–13 | -0.04 | 13% | 4 Jul → | ||
| 13–5 | 0.00 | 18% | 2 Jul → | ||
| 7–13 | -0.04 | 20% | 30 Jun → | ||
| 13–11 | -0.01 | 11% | 28 Jun → | ||
| 13–11 | 0.01 | 30% | 27 Jun → | ||
| 8–13 | -0.03 | 20% | 15 Jun → | ||
| 9–6 | 0.15 | 29% | 7 Jun → | ||
| 16–12 | -0.03 | 23% | 2 Jun → | ||
| 13–6 | 0.10 | 39% | 2 Jun → | ||
| 10–13 | 0.03 | 15% | 2 Jun → | ||
| 7–13 | -0.07 | 23% | 31 May → | ||
| 13–11 | 0.02 | 11% | 29 May → | ||
| 7–13 | -0.08 | 17% | 29 May → | ||
| 10–13 | -0.03 | 14% | 27 May → | ||
| 13–7 | 0.01 | 24% | 24 May → | ||
| 7–13 | -0.02 | 19% | 21 May → | ||
| 13–6 | -0.03 | 18% | 21 May → | ||
| 16–14 | 0.02 | 16% | 19 May → | ||
| 13–10 | 0.04 | 25% | 18 May → | ||
| 7–13 | -0.04 | 26% | 15 May → | ||
| 11–13 | -0.01 | 17% | 14 May → | ||
| 19–15 | -0.01 | 14% | 12 May → | ||
| 13–7 | 0.03 | 9% | 10 May → | ||
| 8–13 | -0.01 | 21% | 5 May → | ||
| 13–10 | -0.03 | 13% | 4 May → | ||
| 16–13 | -0.00 | 21% | 2 May → | ||
| 4–13 | -0.07 | 19% | 27 Apr → | ||
| 13–7 | 0.04 | 16% | 23 Apr → | ||
| 13–11 | -0.03 | 15% | 21 Apr → | ||
| 13–10 | -0.05 | 13% | 21 Apr → | ||
| poseidon | 6–9 | -0.09 | 36% | 11 Apr → | |
| 13–11 | 0.10 | 18% | 9 Apr → | ||
| 13–10 | -0.05 | 24% | 5 Apr → | ||
| 16–12 | -0.00 | 9% | 5 Apr → | ||
| 11–13 | -0.05 | 13% | 4 Apr → | ||
| 13–9 | 0.03 | 24% | 4 Apr → | ||
| 13–8 | -0.00 | 20% | 3 Apr → | ||
| 16–13 | 0.01 | 17% | 3 Apr → | ||
| 11–13 | -0.09 | 5% | 28 Mar → | ||
| 13–3 | 0.10 | 20% | 25 Mar → | ||
| 13–4 | 0.06 | 16% | 6 Mar → | ||
| 14–16 | -0.02 | 14% | 2 Mar → | ||
| 13–11 | -0.03 | 15% | 1 Mar → | ||
| 19–16 | 0.04 | 14% | 27 Feb → | ||
| 9–13 | -0.01 | 27% | 25 Feb → | ||
| 19–17 | 0.03 | 27% | 22 Feb → | ||
| 13–11 | 0.06 | 20% | 15 Feb → | ||
| 10–13 | 0.09 | 16% | 14 Feb → | ||
| 13–7 | 0.02 | 23% | 13 Feb → | ||
| 10–13 | -0.04 | 15% | 11 Feb → | ||
| 13–3 | 0.05 | 23% | 9 Feb → | ||
| 5–13 | -0.05 | 15% | 3 Feb → | ||
| 13–4 | -0.02 | 17% | 30 Jan → | ||
| 11–13 | -0.01 | 18% | 29 Jan → | ||
| 5–13 | -0.09 | 7% | 18 Jan → | ||
| 11–13 | -0.02 | 11% | 12 Jan → | ||
| 13–5 | 0.04 | 20% | 12 Jan → | ||
| 6–13 | 0.02 | 29% | 11 Jan → | ||
| 5–13 | -0.05 | 23% | 11 Jan → | ||
| 16–13 | -0.00 | 9% | 10 Jan → | ||
| 4–13 | 0.04 | 25% | 8 Jan → | ||
| 13–3 | 0.03 | 14% | 6 Jan → | ||
| 6–13 | -0.04 | 8% | 4 Jan → | ||
| 16–14 | -0.00 | 9% | 3 Jan → | ||
| 13–9 | 0.03 | 18% | 2 Jan → | ||
| 10–13 | 0.02 | 24% | 1 Jan → | ||
| 15–15 | 0.01 | 31% | 30 Dec → | ||
| 9–5 | 0.13 | 24% | 30 Dec → | ||
| 13–9 | -0.06 | 6% | 26 Dec → | ||
| 13–11 | 0.05 | 26% | 26 Dec → | ||
| 4–13 | -0.10 | 12% | 26 Dec → | ||
| 9–13 | -0.03 | 36% | 16 Dec → | ||
| 13–10 | 0.03 | 10% | 7 Dec → | ||
| 11–13 | -0.06 | 26% | 6 Dec → | ||
| 4–9 | -0.07 | 19% | 6 Dec → | ||
| 16–13 | 0.01 | 26% | 5 Dec → | ||
| 8–13 | -0.05 | 26% | 4 Dec → | ||
| 8–13 | -0.06 | 10% | 20 Nov → | ||
| 9–2 | 0.08 | 19% | 16 Nov → | ||
| 10–13 | -0.06 | 31% | 15 Nov → | ||
| 13–10 | 0.01 | 9% | 14 Nov → | ||
| 13–8 | -0.03 | 13% | 14 Nov → | ||
| 13–11 | -0.03 | 15% | 11 Nov → | ||
| 6–13 | -0.03 | 17% | 6 Nov → | ||
| 17–19 | 0.00 | 16% | 2 Nov → | ||
| 11–13 | 0.00 | 26% | 30 Oct → |
Match data via Leetify.