Saud bin Abdulaziz Al Saud — CS2 Stats
76561198123270222[U:1:163004494]Steam profile ↗✓ No bans
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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
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 82% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower opening-duel success; lower aim 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
Areas to improve
T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 635ms 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 5.2/10 (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 |
|---|---|---|---|---|---|
| A | 32 | 18–14 | 56% | -0.00 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| A | 10 | 6–4 | 60% | 0.03 | |
| A | 7 | 4–3 | 57% | -0.03 | |
| D | 6 | 2–4 | 33% | -0.02 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| poseidon | — | 1 | 0–1 | 0% | -0.11 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 120 | 58% | 1.03 | 14.8 |
| Anubis | 105 | 58% | 1.07 | 14.3 |
| Nuke | 57 | 46% | 0.82 | 13.8 |
| Dust2 | 41 | 34% | 0.77 | 13.6 |
| Vertigo | 37 | 51% | 1.00 | 16.0 |
| Train | 35 | 63% | 0.95 | 15.2 |
| Inferno | 32 | 28% | 0.83 | 13.3 |
| Mirage | 28 | 46% | 0.97 | 13.6 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.0754% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.9403 — below the 4 mark we flag
- 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 21.048% — 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.
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 | |
|---|---|---|---|---|---|
| 13–7 | -0.05 | 21% | 27 Aug → | ||
| 13–9 | 0.10 | 22% | 25 Aug → | ||
| 11–13 | -0.00 | 11% | 24 Aug → | ||
| 5–13 | -0.06 | 30% | 24 Aug → | ||
| 13–4 | 0.06 | 14% | 16 Aug → | ||
| 13–6 | 0.05 | 14% | 16 Aug → | ||
| 5–13 | -0.03 | 12% | 9 Aug → | ||
| 13–4 | 0.08 | 11% | 9 Aug → | ||
| 10–13 | -0.01 | 11% | 26 Jul → | ||
| 1–13 | -0.08 | 0% | 26 Jul → | ||
| 13–5 | 0.00 | 12% | 26 Jul → | ||
| 13–4 | -0.03 | 4% | 26 Jul → | ||
| 15–15 | -0.03 | 16% | 26 Jul → | ||
| 7–13 | -0.05 | 8% | 26 Jul → | ||
| 13–5 | -0.02 | 13% | 26 Jul → | ||
| 13–7 | 0.02 | 12% | 26 Jul → | ||
| 11–13 | 0.03 | 17% | 26 Jul → | ||
| 14–16 | -0.02 | 15% | 23 Jul → | ||
| 13–10 | -0.05 | 9% | 23 Jul → | ||
| 13–8 | -0.02 | 15% | 22 Jul → | ||
| 13–11 | -0.04 | 9% | 20 Jul → | ||
| 13–6 | 0.12 | 17% | 20 Jul → | ||
| 4–13 | -0.02 | 6% | 18 Jul → | ||
| 13–7 | 0.01 | 8% | 18 Jul → | ||
| 10–13 | -0.05 | 16% | 18 Jul → | ||
| 9–13 | -0.01 | 14% | 18 Jul → | ||
| 11–13 | 0.01 | 15% | 18 Jul → | ||
| 13–6 | 0.04 | 4% | 18 Jul → | ||
| 13–5 | 0.01 | 14% | 17 Jul → | ||
| 8–13 | -0.04 | 12% | 17 Jul → | ||
| 8–13 | 0.02 | 12% | 15 Jul → | ||
| 6–13 | -0.05 | 11% | 15 Jul → | ||
| 13–11 | -0.00 | 13% | 14 Jul → | ||
| 8–13 | -0.03 | 15% | 13 Jul → | ||
| 7–13 | -0.07 | 15% | 11 Jul → | ||
| 16–14 | 0.02 | 7% | 21 Jun → | ||
| 11–13 | 0.03 | 13% | 21 Jun → | ||
| 7–13 | -0.11 | 13% | 21 Jun → | ||
| 13–8 | -0.00 | 9% | 18 Jun → | ||
| 13–7 | 0.01 | 20% | 18 Jun → | ||
| 13–7 | -0.08 | 16% | 16 Jun → | ||
| 3–13 | -0.07 | 19% | 16 Jun → | ||
| 9–13 | -0.04 | 17% | 14 Jun → | ||
| 8–13 | 0.03 | 14% | 2 Jun → | ||
| 4–13 | -0.02 | 6% | 31 May → | ||
| 13–6 | -0.00 | 15% | 31 May → | ||
| 16–13 | -0.02 | 9% | 29 May → | ||
| 9–13 | -0.06 | 8% | 29 May → | ||
| 11–13 | 0.01 | 15% | 26 May → | ||
| 10–13 | 0.02 | 19% | 17 May → | ||
| 16–13 | 0.09 | 21% | 17 May → | ||
| 8–13 | -0.05 | 6% | 13 May → | ||
| 13–10 | 0.03 | 22% | 12 May → | ||
| poseidon | 4–9 | -0.11 | 19% | 12 May → | |
| 15–15 | -0.00 | 14% | 10 May → | ||
| 13–9 | -0.02 | 9% | 10 May → | ||
| 12–12 | 0.06 | 15% | 10 May → | ||
| 7–13 | -0.05 | 16% | 10 May → | ||
| 4–13 | -0.12 | 11% | 5 May → | ||
| 11–13 | 0.01 | 20% | 5 May → | ||
| 13–6 | -0.03 | 6% | 3 May → | ||
| 13–10 | -0.02 | 5% | 3 May → | ||
| 13–7 | 0.01 | 13% | 3 May → | ||
| 7–13 | 0.07 | 8% | 3 May → | ||
| 5–13 | 0.06 | 20% | 25 Apr → | ||
| 15–15 | -0.10 | 11% | 25 Apr → | ||
| 6–13 | -0.03 | 12% | 18 Apr → | ||
| 11–13 | 0.02 | 9% | 18 Apr → | ||
| 13–9 | -0.03 | 17% | 14 Apr → | ||
| 6–13 | -0.06 | 27% | 9 Apr → | ||
| 13–7 | -0.00 | 16% | 8 Apr → | ||
| 11–13 | -0.05 | 15% | 4 Apr → | ||
| 15–15 | 0.02 | 18% | 4 Apr → | ||
| 16–12 | -0.02 | 20% | 4 Apr → | ||
| 11–13 | -0.01 | 11% | 4 Apr → | ||
| 13–10 | -0.04 | 21% | 4 Apr → | ||
| 13–8 | -0.06 | 18% | 4 Apr → | ||
| 13–10 | 0.02 | 16% | 4 Apr → | ||
| 6–13 | -0.04 | 14% | 4 Apr → | ||
| 16–14 | -0.03 | 5% | 29 Mar → | ||
| 3–13 | 0.10 | 18% | 29 Mar → | ||
| 9–13 | -0.01 | 15% | 29 Mar → | ||
| 6–13 | -0.12 | 22% | 28 Mar → | ||
| 7–2 | -0.07 | 0% | 28 Mar → | ||
| 13–3 | 0.05 | 8% | 28 Mar → | ||
| 13–10 | 0.03 | 11% | 28 Mar → | ||
| 13–9 | 0.01 | 18% | 25 Mar → | ||
| 13–5 | -0.04 | 17% | 23 Mar → | ||
| 7–13 | -0.02 | 17% | 23 Mar → | ||
| 7–13 | -0.00 | 8% | 22 Mar → | ||
| 13–7 | 0.02 | 13% | 22 Mar → | ||
| 16–14 | -0.00 | 18% | 17 Mar → | ||
| 8–13 | 0.05 | 8% | 15 Mar → | ||
| 13–10 | 0.02 | 13% | 15 Mar → | ||
| 13–11 | 0.01 | 11% | 14 Mar → | ||
| 13–6 | -0.06 | 6% | 10 Mar → | ||
| 13–6 | 0.00 | 13% | 10 Mar → | ||
| 13–8 | 0.10 | 18% | 10 Mar → | ||
| 13–9 | 0.07 | 14% | 7 Mar → | ||
| 11–13 | 0.01 | 15% | 7 Mar → |
Match data via Leetify.