Al Bebak — CS2 Stats
76561198914868371[U:1:954602643]
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 | vs Pink band |
|---|---|---|---|
| Headshot rate | 48.4% | 48.1% | meets |
| Shot accuracy | 14.4% | 12.9% | above |
| Kill/death ratio | 0.98 | 1.08 | 0.10 short |
| Match win rate | 46.9% | 46.5% | meets |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Kill/death ratio. That is the metric furthest from the Pink 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 · -0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited utility dependence
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 84% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 612ms 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 5.4/10 (Developing), 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 | 26 | 13–13 | 50% | 0.01 | |
| S | 21 | 14–7 | 67% | 0.00 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.01 | |
| S | 8 | 6–2 | 75% | 0.04 | |
| D | 7 | 1–6 | 14% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.03 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| jura | — | 2 | 2–0 | 100% | 0.10 |
| boulder | — | 1 | 0–1 | 0% | -0.07 |
| agency | — | 1 | 1–0 | 100% | 0.03 |
| office | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient 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.
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 32.7508% — 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.
14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.01 | 7% | 27 Aug → | ||
| 13–9 | -0.04 | 19% | 26 Aug → | ||
| 5–13 | -0.10 | 19% | 26 Aug → | ||
| 13–4 | -0.05 | 20% | 25 Aug → | ||
| 9–13 | -0.02 | 31% | 24 Aug → | ||
| 16–13 | 0.01 | 17% | 23 Aug → | ||
| 6–13 | -0.08 | 33% | 23 Aug → | ||
| 13–3 | 0.01 | 26% | 23 Aug → | ||
| 13–8 | -0.04 | 30% | 22 Aug → | ||
| 13–3 | 0.08 | 22% | 22 Aug → | ||
| 2–13 | -0.06 | 37% | 22 Aug → | ||
| 13–11 | 0.00 | 27% | 22 Aug → | ||
| 15–15 | -0.00 | 15% | 20 Aug → | ||
| 13–1 | 0.10 | 34% | 20 Aug → | ||
| 13–10 | -0.01 | 16% | 19 Aug → | ||
| 7–13 | -0.03 | 11% | 18 Aug → | ||
| 13–10 | 0.08 | 28% | 18 Aug → | ||
| 5–13 | -0.06 | 25% | 18 Aug → | ||
| 13–5 | 0.00 | 17% | 18 Aug → | ||
| 3–13 | -0.13 | 21% | 17 Aug → | ||
| 6–13 | -0.04 | 18% | 17 Aug → | ||
| 9–13 | -0.01 | 28% | 17 Aug → | ||
| 15–15 | -0.03 | 23% | 16 Aug → | ||
| 10–13 | -0.08 | 29% | 15 Aug → | ||
| 13–9 | 0.00 | 30% | 15 Aug → | ||
| 13–5 | 0.03 | 18% | 14 Aug → | ||
| boulder | 3–4 | -0.07 | 0% | 14 Aug → | |
| 13–7 | -0.03 | 17% | 14 Aug → | ||
| 6–13 | -0.01 | 25% | 10 Aug → | ||
| 13–9 | 0.03 | 23% | 26 Jul → | ||
| 7–13 | -0.06 | 17% | 25 Jul → | ||
| 16–13 | -0.01 | 19% | 25 Jul → | ||
| 13–11 | 0.08 | 19% | 24 Jul → | ||
| 13–10 | 0.02 | 33% | 19 Jul → | ||
| 10–13 | 0.02 | 18% | 19 Jul → | ||
| 13–5 | 0.09 | 22% | 18 Jul → | ||
| 5–13 | -0.01 | 38% | 18 Jul → | ||
| 8–13 | -0.01 | 13% | 11 Jul → | ||
| 11–13 | -0.03 | 8% | 11 Jul → | ||
| 11–13 | -0.04 | 38% | 27 Jun → | ||
| 13–6 | 0.04 | 41% | 26 Jun → | ||
| 4–13 | -0.09 | 14% | 22 Jun → | ||
| 13–6 | 0.04 | 23% | 22 Jun → | ||
| 13–9 | 0.03 | 16% | 14 Jun → | ||
| 7–13 | -0.04 | 14% | 14 Jun → | ||
| 2–13 | -0.05 | 33% | 11 Jun → | ||
| 13–5 | -0.05 | 16% | 11 Jun → | ||
| 10–13 | 0.08 | 25% | 27 Apr → | ||
| 4–13 | 0.05 | 32% | 26 Apr → | ||
| 8–13 | 0.02 | 21% | 22 Nov → | ||
| 3–0 | 0.12 | 100% | 22 Nov → | ||
| 13–10 | 0.06 | 28% | 11 Nov → | ||
| 5–13 | -0.13 | 33% | 11 Nov → | ||
| 13–9 | -0.01 | 53% | 7 Nov → | ||
| 13–3 | 0.09 | 29% | 7 Nov → | ||
| 6–11 | 0.06 | 41% | 7 Sept → | ||
| 8–13 | 0.03 | 21% | 5 Sept → | ||
| 7–13 | 0.01 | 27% | 5 Sept → | ||
| 3–13 | 0.01 | 24% | 4 Sept → | ||
| 6–13 | -0.02 | 14% | 3 Sept → | ||
| 13–3 | -0.01 | 41% | 24 Aug → | ||
| 12–12 | 0.01 | 15% | 23 Aug → | ||
| 13–10 | 0.01 | 22% | 23 Aug → | ||
| 2–13 | -0.01 | 26% | 20 Aug → | ||
| 7–13 | -0.03 | 45% | 17 Aug → | ||
| 13–9 | 0.06 | 30% | 17 Aug → | ||
| 10–13 | 0.03 | 38% | 15 Aug → | ||
| 12–12 | -0.00 | 38% | 15 Aug → | ||
| 13–9 | 0.01 | 26% | 10 Aug → | ||
| 13–4 | 0.10 | 34% | 8 Aug → | ||
| 13–9 | -0.02 | 34% | 7 Aug → | ||
| agency | 13–8 | 0.03 | 31% | 7 Aug → | |
| 4–13 | -0.03 | 33% | 6 Aug → | ||
| 9–13 | 0.09 | 19% | 6 Aug → | ||
| 12–12 | 0.04 | 21% | 5 Aug → | ||
| 3–13 | -0.03 | 17% | 5 Aug → | ||
| jura | 13–6 | 0.11 | 36% | 5 Aug → | |
| 7–13 | -0.03 | 26% | 2 Aug → | ||
| 13–9 | -0.02 | 18% | 2 Aug → | ||
| 8–13 | 0.01 | 24% | 2 Aug → | ||
| 13–10 | 0.06 | 33% | 2 Aug → | ||
| 16–14 | 0.07 | 20% | 31 Jul → | ||
| 13–9 | 0.06 | 24% | 31 Jul → | ||
| 7–13 | -0.04 | 27% | 30 Jul → | ||
| jura | 13–0 | 0.09 | 35% | 30 Jul → | |
| 13–10 | 0.03 | 17% | 27 Jul → | ||
| 13–11 | 0.04 | 23% | 26 Jul → | ||
| 13–2 | -0.04 | 27% | 26 Jul → | ||
| 13–10 | 0.01 | 26% | 25 Jul → | ||
| 13–11 | 0.04 | 29% | 25 Jul → | ||
| 12–12 | 0.02 | 28% | 24 Jul → | ||
| office | 13–6 | 0.04 | 22% | 24 Jul → | |
| 13–8 | -0.01 | 30% | 20 Jul → | ||
| 13–2 | 0.02 | 43% | 20 Jul → | ||
| 13–8 | -0.05 | 30% | 20 Jul → | ||
| 13–10 | 0.06 | 29% | 20 Jul → | ||
| 4–13 | -0.05 | 24% | 20 Jul → | ||
| 6–13 | -0.04 | 15% | 19 Jul → | ||
| 11–13 | 0.03 | 24% | 19 Jul → | ||
| 10–13 | -0.01 | 28% | 19 Jul → |
Match data via Leetify.