Azykiel — CS2 Stats
76561198217406968[U:1:257141240]Steam profile ↗✓ No bans
Rating over time
Faceit ELO
- At peak — 2,190
- Next: 2,500 ELO at 2,500 — 310 to go
- Reached: Level 10 · Level 9 · Level 8 · Level 7
- Level 10 first seen 2026-08-28
- Level 9 first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 59.1% | 52.8% |
| Shot accuracy | 2.4% | 13.7% |
| Kill/death ratio | 1.02 | 1.08 |
| Match win rate | 46.3% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Passive 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: utility contribution, opening-fight frequency.
Where you differ: lower aim 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 32 points — deaths here waste a strong aim profile.
Reaction time. 559ms 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 6.1/10 (Solid), 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 | 22 | 10–12 | 45% | -0.00 | |
| A | 20 | 11–9 | 55% | 0.00 | |
| A | 19 | 12–7 | 63% | -0.00 | |
| A | 18 | 10–8 | 56% | 0.02 | |
| A | 14 | 9–5 | 64% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.01 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.07 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Dust 2 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 resultsWLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 682 | 52% | 1.07 | 17.0 |
| Ancient | 593 | 53% | 1.11 | 17.3 |
| Mirage | 555 | 48% | 0.99 | 16.2 |
| Inferno | 404 | 49% | 1.06 | 16.9 |
| Anubis | 365 | 52% | 1.08 | 17.1 |
| Nuke | 185 | 45% | 1.03 | 15.9 |
| Train | 95 | 51% | 1.13 | 17.6 |
| Vertigo | 20 | 45% | 1.11 | 18.1 |
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 34.0761% — 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.
45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 13% | 27 Aug → | ||
| 13–11 | 0.02 | 25% | 24 Aug → | ||
| 5–13 | -0.07 | 27% | 22 Aug → | ||
| 13–3 | 0.05 | 30% | 15 Aug → | ||
| 13–7 | 0.01 | 25% | 14 Aug → | ||
| 13–5 | 0.05 | 33% | 14 Aug → | ||
| 13–10 | -0.07 | 15% | 14 Aug → | ||
| 13–7 | 0.04 | 29% | 11 Aug → | ||
| 7–13 | -0.04 | 17% | 10 Aug → | ||
| 13–11 | -0.04 | 12% | 10 Aug → | ||
| 13–9 | 0.01 | 23% | 8 Aug → | ||
| 13–8 | 0.01 | 8% | 5 Aug → | ||
| 5–13 | -0.06 | 18% | 2 Aug → | ||
| 14–16 | -0.06 | 15% | 2 Aug → | ||
| 13–7 | 0.03 | 29% | 2 Aug → | ||
| 13–4 | 0.03 | 31% | 29 Jul → | ||
| 5–13 | 0.01 | 23% | 4 Jul → | ||
| 13–7 | 0.02 | 30% | 4 Jul → | ||
| 13–7 | -0.00 | 22% | 4 Jul → | ||
| 13–6 | -0.01 | 18% | 4 Jul → | ||
| 2–13 | -0.03 | 38% | 4 Jul → | ||
| 11–13 | 0.04 | 22% | 3 Jul → | ||
| 13–11 | 0.04 | 21% | 3 Jul → | ||
| 13–11 | 0.01 | 13% | 3 Jul → | ||
| 12–16 | -0.00 | 21% | 1 Jul → | ||
| 11–13 | 0.01 | 16% | 29 Jun → | ||
| 3–13 | -0.09 | 19% | 29 Jun → | ||
| 6–13 | -0.01 | 26% | 24 Jun → | ||
| 13–3 | 0.15 | 24% | 14 Jun → | ||
| 13–7 | -0.00 | 11% | 9 Jun → | ||
| 9–13 | -0.01 | 22% | 7 Jun → | ||
| 7–13 | -0.06 | 12% | 7 Jun → | ||
| 13–10 | -0.05 | 17% | 1 Jun → | ||
| 13–9 | -0.03 | 15% | 31 May → | ||
| 4–13 | -0.05 | 21% | 27 May → | ||
| 13–4 | 0.13 | 21% | 26 May → | ||
| 12–16 | 0.03 | 19% | 21 May → | ||
| 13–9 | -0.01 | 19% | 21 May → | ||
| 11–13 | 0.13 | 29% | 18 May → | ||
| 13–10 | -0.03 | 13% | 18 May → | ||
| 7–13 | -0.04 | 25% | 17 May → | ||
| 19–17 | 0.05 | 12% | 11 May → | ||
| 13–8 | 0.04 | 21% | 30 Apr → | ||
| 11–13 | 0.02 | 23% | 22 Apr → | ||
| 13–8 | 0.00 | 16% | 21 Apr → | ||
| 11–13 | 0.02 | 19% | 13 Apr → | ||
| 13–9 | 0.01 | 21% | 24 Mar → | ||
| 10–13 | -0.01 | 22% | 19 Mar → | ||
| 6–13 | -0.04 | 14% | 19 Mar → | ||
| 10–13 | -0.01 | 26% | 19 Mar → | ||
| 10–13 | 0.02 | 12% | 18 Mar → | ||
| 9–13 | -0.02 | 17% | 18 Mar → | ||
| 13–10 | 0.06 | 20% | 17 Mar → | ||
| 1–13 | -0.06 | 26% | 17 Mar → | ||
| 13–9 | -0.01 | 22% | 17 Mar → | ||
| 13–8 | -0.05 | 18% | 17 Mar → | ||
| 2–13 | -0.07 | 30% | 17 Mar → | ||
| 7–13 | -0.05 | 14% | 16 Mar → | ||
| 6–13 | -0.00 | 23% | 16 Mar → | ||
| 16–12 | -0.05 | 28% | 16 Mar → | ||
| 9–13 | -0.05 | 22% | 16 Mar → | ||
| 10–3 | -0.02 | 41% | 16 Mar → | ||
| 13–8 | 0.05 | 19% | 16 Mar → | ||
| 13–9 | 0.01 | 17% | 16 Mar → | ||
| 13–6 | 0.01 | 29% | 16 Mar → | ||
| 13–8 | 0.02 | 18% | 15 Mar → | ||
| 9–13 | 0.08 | 26% | 15 Mar → | ||
| 10–13 | -0.01 | 28% | 15 Mar → | ||
| 16–13 | -0.02 | 16% | 13 Mar → | ||
| 6–13 | -0.02 | 40% | 13 Mar → | ||
| 5–11 | -0.06 | 16% | 13 Mar → | ||
| 13–10 | -0.01 | 18% | 13 Mar → | ||
| 13–10 | 0.06 | 25% | 13 Mar → | ||
| 1–13 | -0.08 | 35% | 13 Mar → | ||
| 11–13 | -0.06 | 12% | 12 Mar → | ||
| 13–11 | -0.01 | 11% | 12 Mar → | ||
| 10–13 | 0.03 | 32% | 12 Mar → | ||
| 13–1 | 0.03 | 19% | 12 Mar → | ||
| 11–13 | 0.06 | 18% | 11 Mar → | ||
| 13–9 | -0.01 | 16% | 10 Mar → | ||
| 13–5 | 0.03 | 7% | 10 Mar → | ||
| 16–14 | -0.00 | 23% | 10 Mar → | ||
| 13–10 | -0.02 | 29% | 9 Mar → | ||
| 7–13 | -0.00 | 14% | 7 Mar → | ||
| 13–11 | 0.01 | 31% | 7 Mar → | ||
| 13–5 | 0.06 | 11% | 7 Mar → | ||
| 16–14 | 0.02 | 13% | 7 Mar → | ||
| 13–6 | 0.10 | 24% | 7 Mar → | ||
| 13–4 | 0.05 | 24% | 6 Mar → | ||
| 11–13 | 0.04 | 24% | 5 Mar → | ||
| 6–13 | -0.01 | 9% | 5 Mar → | ||
| 9–13 | -0.00 | 24% | 5 Mar → | ||
| 13–2 | -0.04 | 6% | 5 Mar → | ||
| 10–13 | -0.03 | 20% | 2 Mar → | ||
| 13–6 | 0.10 | 32% | 2 Mar → | ||
| 4–13 | -0.11 | 6% | 2 Mar → | ||
| 13–9 | 0.01 | 17% | 1 Mar → | ||
| 8–13 | -0.01 | 27% | 1 Mar → | ||
| 13–9 | -0.03 | 18% | 1 Mar → | ||
| 16–14 | -0.00 | 18% | 1 Mar → |
Match data via Leetify.