bek — CS2 Stats
76561197960844702[U:1:578974]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=2,468), 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 | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 57.0% | 41.4% | 44.2% | above |
| Shot accuracy | 0.0% | 9.0% | 11.6% | 11.6% short |
| Kill/death ratio | 1.36 | 0.97 | 1.03 | above |
| Match win rate | 59.8% | 43.7% | 45.2% | above |
This profile matches the typical Purple band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Excellent 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 jL 95% playstyle similarity
Most alike: opening-fight frequency, 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
Areas to improve
T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 596ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
 mirage | B | 27 | 14–13 | 52% | 0.02 |
 dust2 | A | 27 | 17–10 | 63% | 0.03 |
 inferno | A | 12 | 7–5 | 58% | 0.04 |
 nuke | A | 10 | 6–4 | 60% | 0.02 |
 ancient | S | 7 | 5–2 | 71% | 0.06 |
 cache | B | 6 | 3–3 | 50% | 0.00 |
 overpass | — | 4 | 2–2 | 50% | 0.04 |
 train | — | 3 | 3–0 | 100% | 0.06 |
 anubis | — | 2 | 1–1 | 50% | 0.05 |
| poseidon | — | 1 | 0–1 | 0% | -0.05 |
| debris | — | 1 | 0–1 | 0% | -0.03 |
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.
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 36.2264% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 16–13 | -0.05 | 20% | 30 Aug → | |
| mirage | 2–13 | -0.04 | 25% | 30 Aug → | |
| anubis | 15–15 | -0.02 | 16% | 29 Aug → | |
| nuke | 13–3 | -0.04 | 29% | 29 Aug → | |
| mirage | 13–10 | -0.01 | 23% | 29 Aug → | |
| inferno | 9–4 | 0.17 | 26% | 29 Aug → | |
| cache | 13–5 | 0.04 | 14% | 28 Aug → | |
| train | 13–8 | 0.00 | 22% | 28 Aug → | |
| dust2 | 13–8 | 0.15 | 20% | 28 Aug → | |
| nuke | 9–5 | 0.16 | 7% | 27 Aug → | |
| poseidon | 7–9 | -0.05 | 29% | 27 Aug → | |
| mirage | 13–9 | 0.08 | 17% | 27 Aug → | |
| dust2 | 13–3 | 0.03 | 18% | 27 Aug → | |
| nuke | 13–9 | -0.02 | 24% | 27 Aug → | |
| dust2 | 13–7 | 0.05 | 13% | 26 Aug → | |
| inferno | 4–13 | -0.05 | 12% | 26 Aug → | |
| dust2 | 13–5 | 0.10 | 32% | 26 Aug → | |
| debris | 5–9 | -0.03 | 18% | 25 Aug → | |
| ancient | 13–8 | 0.03 | 20% | 25 Aug → | |
| inferno | 13–4 | 0.03 | 19% | 24 Aug → | |
| cache | 11–13 | 0.01 | 18% | 24 Aug → | |
| train | 13–6 | 0.05 | 15% | 22 Aug → | |
| cache | 5–13 | -0.03 | 20% | 20 Aug → | |
| cache | 13–6 | 0.03 | 24% | 18 Aug → | |
| inferno | 10–13 | 0.01 | 15% | 18 Aug → | |
| dust2 | 13–11 | 0.01 | 13% | 18 Aug → | |
| cache | 13–11 | 0.00 | 9% | 16 Aug → | |
| mirage | 13–3 | 0.05 | 20% | 15 Aug → | |
| dust2 | 13–7 | 0.03 | 16% | 15 Aug → | |
| mirage | 8–13 | 0.12 | 17% | 14 Aug → | |
| cache | 13–16 | -0.03 | 27% | 14 Aug → | |
| dust2 | 10–13 | -0.05 | 23% | 13 Aug → | |
| mirage | 13–11 | 0.00 | 19% | 13 Aug → | |
| inferno | 15–15 | -0.06 | 67% | 30 Jul → | |
| mirage | 13–2 | 0.11 | 16% | 25 Jul → | |
| dust2 | 1–8 | 0.03 | 33% | 23 Jul → | |
| dust2 | 2–13 | 0.02 | 34% | 22 Jul → | |
| dust2 | 13–9 | 0.07 | 25% | 21 Jul → | |
| ancient | 2–9 | 0.18 | 20% | 16 Jul → | |
| inferno | 13–3 | 0.24 | 31% | 6 Jul → | |
| overpass | 10–13 | -0.04 | 40% | 11 Jun → | |
| mirage | 9–13 | 0.00 | 19% | 11 Jun → | |
| mirage | 12–14 | 0.00 | 24% | 10 Jun → | |
| overpass | 12–16 | -0.02 | 19% | 6 Jun → | |
| dust2 | 13–2 | 0.01 | 28% | 6 Jun → | |
| mirage | 13–4 | 0.13 | 13% | 5 Jun → | |
| mirage | 10–13 | 0.10 | 14% | 3 Jun → | |
| dust2 | 13–0 | -0.01 | 16% | 1 Jun → | |
| overpass | 13–1 | 0.13 | 26% | 28 May → | |
| nuke | 9–9 | 0.02 | 33% | 22 May → | |
| anubis | 13–8 | 0.12 | 17% | 22 May → | |
| mirage | 3–13 | -0.01 | 46% | 19 May → | |
| dust2 | 13–6 | 0.13 | 28% | 18 Mar → | |
| mirage | 13–6 | 0.00 | 12% | 17 Mar → | |
| inferno | 11–13 | 0.08 | 16% | 23 Feb → | |
| nuke | 13–9 | 0.11 | 22% | 17 Feb → | |
| ancient | 7–13 | 0.03 | 50% | 8 Feb → | |
| mirage | 13–8 | 0.09 | 18% | 7 Feb → | |
| mirage | 11–13 | -0.04 | 13% | 2 Feb → | |
| ancient | 13–7 | 0.02 | 22% | 17 Aug → | |
| inferno | 13–10 | -0.01 | 22% | 15 Aug → | |
| mirage | 10–13 | -0.02 | 14% | 12 Aug → | |
| dust2 | 10–13 | -0.02 | 20% | 6 Aug → | |
| dust2 | 13–7 | -0.01 | 21% | 29 Jul → | |
| mirage | 5–13 | -0.05 | 15% | 26 Jul → | |
| dust2 | 13–8 | 0.05 | 29% | 25 Jul → | |
| dust2 | 13–6 | 0.14 | 23% | 20 Jul → | |
| dust2 | 6–13 | -0.04 | 22% | 19 Jul → | |
| dust2 | 13–8 | -0.05 | 23% | 19 Jul → | |
| dust2 | 7–13 | 0.06 | 25% | 18 Jul → | |
| overpass | 16–13 | 0.10 | 23% | 17 Jul → | |
| dust2 | 4–13 | -0.06 | 23% | 15 Jul → | |
| dust2 | 5–13 | -0.08 | 10% | 12 Jul → | |
| inferno | 13–9 | 0.05 | 18% | 12 Jul → | |
| mirage | 13–10 | 0.03 | 31% | 10 Jul → | |
| nuke | 9–13 | -0.02 | 22% | 6 Jul → | |
| mirage | 8–13 | -0.01 | 15% | 29 Jun → | |
| train | 13–3 | 0.14 | 29% | 29 Jun → | |
| nuke | 13–8 | -0.02 | 23% | 28 Jun → | |
| inferno | 6–13 | -0.10 | 21% | 22 Jun → | |
| mirage | 15–15 | -0.01 | 21% | 21 Jun → | |
| ancient | 13–3 | 0.18 | 27% | 21 Jun → | |
| dust2 | 13–4 | 0.08 | 22% | 18 Jun → | |
| nuke | 3–13 | 0.09 | 20% | 16 Jun → | |
| mirage | 1–13 | 0.00 | 18% | 16 Jun → | |
| inferno | 10–0 | 0.09 | 11% | 13 Jun → | |
| dust2 | 13–7 | 0.07 | 19% | 12 Jun → | |
| inferno | 13–8 | 0.05 | 22% | 31 May → | |
| mirage | 13–5 | 0.01 | 27% | 31 May → | |
| ancient | 13–11 | -0.03 | 23% | 17 May → | |
| mirage | 13–9 | -0.00 | 19% | 1 May → | |
| dust2 | 1–12 | -0.00 | 34% | 28 Apr → | |
| dust2 | 9–13 | -0.04 | 26% | 27 Apr → | |
| mirage | 13–7 | 0.03 | 22% | 27 Apr → | |
| mirage | 13–10 | -0.02 | 14% | 1 Apr → | |
| ancient | 13–8 | 0.05 | 19% | 26 Mar → | |
| dust2 | 13–4 | 0.03 | 20% | 26 Mar → | |
| nuke | 9–13 | -0.05 | 13% | 22 Mar → | |
| mirage | 6–13 | -0.04 | 6% | 20 Mar → | |
| mirage | 13–7 | -0.04 | 10% | 18 Mar → |
Match data via Leetify.
