✪Akaza — CS2 Stats
US76561199023218169[U:1:1062952441]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 44.2% | 47.2% | 49.0% | 4.7% short |
| Shot accuracy | 10.7% | 12.3% | 13.1% | 2.4% short |
| Kill/death ratio | 1.09 | 1.07 | 1.08 | meets |
| Match win rate | 50.1% | 46.3% | 46.9% | above |
This profile matches the typical Level 9 player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 9 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: -30pp win rate · +0.00 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 73% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile; lower opening-fight frequency.
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
Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 3.8/10 (Learning), 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 |
|---|---|---|---|---|---|
| A | 28 | 16–12 | 57% | -0.02 | |
| C | 27 | 12–15 | 44% | 0.00 | |
| B | 20 | 10–10 | 50% | -0.02 | |
| C | 8 | 3–5 | 38% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| S | 6 | 4–2 | 67% | -0.04 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 1 | 0–1 | 0% | -0.07 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (33% over 6). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 494 | 52% | 0.99 | 13.8 |
| Dust2 | 436 | 49% | 0.85 | 13.0 |
| Anubis | 391 | 52% | 1.01 | 14.1 |
| Inferno | 296 | 55% | 0.97 | 13.7 |
| Mirage | 205 | 39% | 0.94 | 13.7 |
| Nuke | 42 | 45% | 0.81 | 13.1 |
| Overpass | 31 | 61% | 0.98 | 13.6 |
| Train | 19 | 32% | 0.79 | 12.1 |
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 25.1659% — 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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 11–13 | -0.02 | 28% | 29 Aug → | ||
| 22–25 | -0.02 | 18% | 28 Aug → | ||
| 4–13 | -0.02 | 18% | 25 Aug → | ||
| 13–5 | 0.04 | 24% | 25 Aug → | ||
| 10–13 | -0.08 | 23% | 24 Aug → | ||
| 10–13 | -0.02 | 18% | 22 Aug → | ||
| 11–13 | -0.04 | 15% | 20 Aug → | ||
| 3–13 | -0.07 | 17% | 19 Aug → | ||
| 13–10 | 0.03 | 14% | 19 Aug → | ||
| 6–13 | 0.01 | 37% | 19 Aug → | ||
| 5–13 | 0.02 | 33% | 19 Aug → | ||
| 5–13 | -0.01 | 17% | 18 Aug → | ||
| 11–13 | -0.03 | 38% | 17 Aug → | ||
| 22–19 | -0.03 | 25% | 17 Aug → | ||
| 13–4 | -0.00 | 23% | 16 Aug → | ||
| 13–10 | -0.06 | 15% | 14 Aug → | ||
| 13–11 | -0.03 | 34% | 13 Aug → | ||
| 11–13 | -0.02 | 38% | 12 Aug → | ||
| 11–13 | -0.02 | 21% | 11 Aug → | ||
| 13–8 | -0.00 | 20% | 11 Aug → | ||
| 11–13 | -0.02 | 17% | 11 Aug → | ||
| 13–9 | -0.02 | 22% | 10 Aug → | ||
| 11–13 | -0.04 | 29% | 8 Aug → | ||
| 13–11 | 0.01 | 20% | 8 Aug → | ||
| 19–16 | -0.03 | 24% | 7 Aug → | ||
| 13–5 | -0.03 | 14% | 7 Aug → | ||
| 11–13 | 0.00 | 20% | 7 Aug → | ||
| 13–5 | -0.03 | 40% | 4 Aug → | ||
| 13–9 | 0.03 | 22% | 27 Jul → | ||
| 7–13 | -0.09 | 9% | 25 Jul → | ||
| 5–13 | 0.02 | 22% | 18 Jul → | ||
| 13–11 | 0.02 | 17% | 18 Jul → | ||
| 13–1 | 0.04 | 29% | 18 Jul → | ||
| 9–13 | 0.05 | 27% | 18 Jul → | ||
| 13–10 | 0.06 | 24% | 7 Jul → | ||
| 13–11 | -0.02 | 29% | 7 Jul → | ||
| 7–13 | 0.00 | 9% | 5 Jul → | ||
| 11–13 | -0.02 | 25% | 2 Jul → | ||
| 10–13 | 0.01 | 21% | 1 Jul → | ||
| 10–13 | 0.01 | 24% | 14 Jun → | ||
| 13–6 | -0.00 | 25% | 13 Jun → | ||
| 11–13 | 0.05 | 29% | 12 Jun → | ||
| 13–6 | 0.02 | 30% | 12 Jun → | ||
| 10–13 | 0.01 | 22% | 11 Jun → | ||
| 13–10 | -0.04 | 22% | 10 Jun → | ||
| 13–7 | 0.03 | 26% | 10 Jun → | ||
| 13–8 | 0.10 | 27% | 10 Jun → | ||
| 12–16 | -0.02 | 17% | 9 Jun → | ||
| 5–13 | -0.04 | 33% | 9 Jun → | ||
| 14–16 | 0.03 | 22% | 9 Jun → | ||
| 8–13 | -0.03 | 14% | 6 Jun → | ||
| 13–3 | -0.00 | 15% | 5 Jun → | ||
| 11–13 | 0.01 | 29% | 3 Jun → | ||
| 13–10 | 0.04 | 27% | 2 Jun → | ||
| 8–13 | -0.02 | 25% | 31 May → | ||
| 13–8 | -0.10 | 19% | 30 May → | ||
| 13–9 | -0.04 | 19% | 27 May → | ||
| 6–13 | -0.04 | 9% | 22 May → | ||
| 4–13 | -0.04 | 25% | 21 May → | ||
| 16–13 | -0.00 | 17% | 20 May → | ||
| 11–13 | -0.03 | 10% | 15 May → | ||
| 13–10 | -0.06 | 19% | 15 May → | ||
| 13–9 | 0.02 | 32% | 15 May → | ||
| 4–13 | -0.08 | 29% | 15 May → | ||
| 13–10 | -0.04 | 25% | 12 May → | ||
| 22–19 | 0.03 | 28% | 12 May → | ||
| 2–13 | -0.09 | 33% | 12 May → | ||
| 7–13 | 0.01 | 24% | 9 May → | ||
| 6–13 | -0.11 | 32% | 9 May → | ||
| 13–6 | -0.02 | 26% | 8 May → | ||
| 4–13 | -0.07 | 32% | 8 May → | ||
| 19–15 | -0.09 | 25% | 7 May → | ||
| 13–11 | 0.07 | 22% | 6 May → | ||
| 13–11 | -0.06 | 17% | 3 May → | ||
| 17–19 | 0.01 | 25% | 3 May → | ||
| 10–13 | -0.05 | 28% | 3 May → | ||
| 13–8 | -0.02 | 26% | 2 May → | ||
| 6–13 | 0.01 | 20% | 2 May → | ||
| 13–11 | -0.02 | 29% | 1 May → | ||
| 7–13 | -0.08 | 22% | 1 May → | ||
| 10–13 | -0.07 | 20% | 1 May → | ||
| 13–9 | -0.05 | 23% | 1 May → | ||
| 13–3 | 0.00 | 19% | 14 Apr → | ||
| 13–3 | 0.13 | 18% | 13 Apr → | ||
| 16–12 | -0.01 | 27% | 12 Apr → | ||
| 13–11 | 0.03 | 31% | 10 Apr → | ||
| 13–9 | 0.02 | 35% | 9 Apr → | ||
| 13–9 | 0.02 | 18% | 8 Apr → | ||
| 14–16 | -0.07 | 20% | 7 Apr → | ||
| 8–13 | -0.08 | 18% | 4 Apr → | ||
| 13–11 | -0.04 | 17% | 3 Apr → | ||
| 4–13 | -0.00 | 19% | 3 Apr → | ||
| 2–13 | -0.04 | 20% | 3 Apr → | ||
| 9–13 | -0.06 | 31% | 1 Apr → | ||
| 13–3 | 0.02 | 30% | 1 Apr → | ||
| 13–7 | 0.00 | 33% | 1 Apr → | ||
| 1–13 | -0.07 | 22% | 1 Apr → | ||
| 13–9 | -0.02 | 21% | 26 Mar → | ||
| 7–13 | -0.04 | 39% | 26 Mar → | ||
| 13–11 | -0.03 | 25% | 25 Mar → |
Match data via Leetify.