Abu Omar al-Shishani — CS2 Stats
GE76561197972827220[U:1:12561492]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Purple band among CSDB-tracked players (n=7,746), 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 | Purple band median | Pink band median | vs Pink band |
|---|---|---|---|---|
| Headshot rate | 52.0% | 44.2% | 47.1% | above |
| Shot accuracy | 0.0% | 11.7% | 12.8% | 12.8% short |
| Kill/death ratio | 1.32 | 1.03 | 1.08 | above |
| Match win rate | 51.9% | 45.2% | 46.7% | above |
This profile matches the typical Pink band player on 3 of 4 comparable metrics.
Widest gap: Shot accuracy. 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.
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
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.
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 89% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; lower 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
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
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 5.0/10 (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 |
|---|---|---|---|---|---|
 nuke | D | 28 | 9–19 | 32% | 0.02 |
 inferno | A | 14 | 8–6 | 57% | 0.01 |
 anubis | A | 9 | 5–4 | 56% | 0.06 |
 mirage | D | 9 | 3–6 | 33% | -0.04 |
 cache | C | 8 | 3–5 | 38% | 0.05 |
 train | B | 8 | 4–4 | 50% | 0.03 |
 dust2 | C | 8 | 3–5 | 38% | -0.00 |
 vertigo | C | 5 | 2–3 | 40% | 0.06 |
 ancient | C | 5 | 2–3 | 40% | 0.02 |
| office | — | 4 | 2–2 | 50% | 0.01 |
 overpass | — | 2 | 1–1 | 50% | 0.12 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Nuke 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 35.8683% — 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.
32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 12–12 | 0.06 | 35% | 29 Aug → | |
| vertigo | 10–13 | -0.03 | 24% | 28 Aug → | |
| anubis | 9–13 | -0.01 | 19% | 28 Aug → | |
| cache | 7–13 | 0.02 | 45% | 28 Aug → | |
| nuke | 11–13 | -0.01 | 12% | 28 Aug → | |
| vertigo | 13–3 | 0.10 | 28% | 23 Aug → | |
| train | 11–13 | 0.09 | 30% | 23 Aug → | |
| dust2 | 2–13 | -0.01 | 38% | 23 Aug → | |
| mirage | 3–13 | 0.02 | 16% | 23 Aug → | |
| nuke | 8–13 | -0.05 | 30% | 23 Aug → | |
| cache | 13–10 | 0.12 | 34% | 23 Aug → | |
| office | 7–13 | -0.05 | 39% | 13 Aug → | |
| overpass | 12–12 | 0.09 | 25% | 13 Aug → | |
| nuke | 2–13 | 0.03 | 35% | 13 Aug → | |
| inferno | 5–13 | -0.06 | 13% | 13 Aug → | |
| inferno | 6–13 | 0.03 | 18% | 13 Aug → | |
| nuke | 11–13 | 0.17 | 28% | 13 Aug → | |
| nuke | 11–2 | -0.00 | 10% | 9 Aug → | |
| inferno | 1–13 | -0.06 | 50% | 9 Aug → | |
| nuke | 4–13 | 0.02 | 36% | 9 Aug → | |
| mirage | 13–11 | -0.06 | 33% | 9 Aug → | |
| dust2 | 6–13 | -0.03 | 35% | 2 Aug → | |
| mirage | 13–4 | -0.03 | 0% | 2 Aug → | |
| ancient | 0–5 | -0.02 | 20% | 2 Aug → | |
| dust2 | 13–6 | 0.00 | 33% | 2 Aug → | |
| dust2 | 13–6 | 0.05 | 37% | 2 Aug → | |
| mirage | 2–13 | -0.10 | 24% | 2 Aug → | |
| mirage | 6–13 | -0.02 | 21% | 1 Aug → | |
| ancient | 13–8 | 0.03 | 17% | 30 Jul → | |
| nuke | 13–11 | 0.03 | 35% | 30 Jul → | |
| nuke | 13–2 | -0.06 | 50% | 25 Jul → | |
| inferno | 16–13 | 0.02 | 40% | 25 Jul → | |
| inferno | 13–6 | 0.09 | 20% | 25 Jul → | |
| anubis | 13–4 | 0.17 | 24% | 19 Jul → | |
| cache | 4–13 | 0.01 | 46% | 19 Jul → | |
| anubis | 13–7 | 0.03 | 16% | 19 Jul → | |
| ancient | 2–13 | -0.04 | 20% | 19 Jul → | |
| inferno | 13–4 | -0.04 | 17% | 19 Jul → | |
| inferno | 13–1 | 0.07 | 36% | 9 Jul → | |
| cache | 13–3 | 0.10 | 47% | 9 Jul → | |
| nuke | 5–13 | 0.01 | 33% | 9 Jul → | |
| ancient | 13–10 | 0.01 | 13% | 5 Jul → | |
| inferno | 11–1 | -0.00 | 33% | 4 Jul → | |
| nuke | 13–0 | 0.07 | 29% | 4 Jul → | |
| cache | 4–13 | 0.03 | 28% | 4 Jul → | |
| nuke | 10–13 | -0.01 | 100% | 3 Jul → | |
| nuke | 13–2 | 0.07 | 10% | 3 Jul → | |
| anubis | 7–13 | 0.03 | 11% | 3 Jul → | |
| nuke | 9–13 | 0.04 | 7% | 19 Jun → | |
| train | 13–10 | -0.02 | 26% | 19 Jun → | |
| train | 8–13 | -0.02 | 16% | 18 Jun → | |
| train | 6–13 | -0.03 | 26% | 18 Jun → | |
| inferno | 5–9 | -0.16 | 22% | 9 Jun → | |
| nuke | 6–13 | 0.04 | 42% | 7 Jun → | |
| inferno | 13–10 | -0.03 | 35% | 7 Jun → | |
| nuke | 13–4 | 0.05 | 11% | 7 Jun → | |
| dust2 | 13–6 | -0.02 | 30% | 7 Jun → | |
| nuke | 0–13 | -0.06 | 80% | 7 Jun → | |
| train | 13–9 | 0.12 | 26% | 30 May → | |
| inferno | 4–13 | -0.02 | 62% | 30 May → | |
| cache | 13–9 | 0.07 | 41% | 30 May → | |
| nuke | 6–13 | 0.05 | 38% | 30 May → | |
| office | 9–13 | 0.04 | 14% | 14 May → | |
| office | 13–7 | 0.04 | 15% | 14 May → | |
| nuke | 10–13 | 0.05 | 19% | 14 May → | |
| cache | 11–13 | 0.04 | 20% | 10 May → | |
| nuke | 10–13 | 0.02 | 28% | 3 May → | |
| cache | 4–13 | 0.05 | 30% | 2 May → | |
| anubis | 13–9 | 0.09 | 31% | 2 May → | |
| train | 13–5 | -0.01 | 15% | 16 Apr → | |
| inferno | 13–4 | 0.10 | 18% | 16 Apr → | |
| anubis | 13–6 | 0.06 | 28% | 16 Apr → | |
| mirage | 1–13 | -0.07 | 22% | 16 Apr → | |
| inferno | 12–12 | 0.16 | 30% | 10 Apr → | |
| nuke | 10–13 | 0.06 | 23% | 10 Apr → | |
| office | 13–11 | -0.01 | 15% | 10 Apr → | |
| dust2 | 5–13 | 0.01 | 15% | 10 Apr → | |
| inferno | 13–1 | 0.00 | 23% | 3 Apr → | |
| mirage | 11–3 | -0.01 | 12% | 3 Apr → | |
| dust2 | 0–4 | -0.07 | 20% | 3 Apr → | |
| mirage | 4–13 | -0.06 | 8% | 3 Apr → | |
| train | 13–10 | 0.14 | 21% | 3 Apr → | |
| nuke | 11–13 | 0.03 | 14% | 28 Mar → | |
| anubis | 13–1 | 0.16 | 27% | 28 Mar → | |
| overpass | 13–10 | 0.15 | 24% | 28 Mar → | |
| ancient | 6–13 | 0.13 | 14% | 27 Mar → | |
| nuke | 13–8 | 0.03 | 22% | 20 Mar → | |
| vertigo | 13–4 | 0.14 | 6% | 20 Mar → | |
| anubis | 4–13 | -0.02 | 17% | 20 Mar → | |
| nuke | 13–9 | 0.01 | 24% | 20 Mar → | |
| vertigo | 3–13 | -0.06 | 31% | 20 Mar → | |
| vertigo | 6–13 | 0.18 | 24% | 20 Mar → | |
| nuke | 5–13 | -0.01 | 19% | 20 Mar → | |
| nuke | 10–13 | -0.03 | 25% | 20 Mar → | |
| nuke | 6–13 | 0.02 | 20% | 14 Mar → | |
| mirage | 8–13 | -0.01 | 19% | 14 Mar → | |
| train | 1–8 | -0.03 | 67% | 7 Mar → | |
| dust2 | 2–13 | 0.07 | 26% | 7 Mar → | |
| anubis | 15–15 | -0.01 | 15% | 7 Mar → | |
| nuke | 13–5 | -0.01 | 21% | 7 Mar → |
Match data via Leetify.
