akua — CS2 Stats
76561198273911518[U:1:313645790]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp 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 86% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
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. 576ms 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 5.3/10 (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 |
|---|---|---|---|---|---|
 mirage | A | 30 | 19–11 | 63% | 0.03 |
 dust2 | C | 23 | 9–14 | 39% | 0.01 |
 anubis | B | 20 | 10–10 | 50% | -0.00 |
 inferno | D | 9 | 3–6 | 33% | -0.01 |
 ancient | C | 9 | 4–5 | 44% | -0.00 |
 nuke | C | 5 | 2–3 | 40% | -0.01 |
 cache | — | 3 | 1–2 | 33% | -0.01 |
 train | — | 1 | 0–1 | 0% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 289 | 55% | 1.11 | 15.7 |
| Anubis | 131 | 56% | 1.02 | 14.5 |
| Ancient | 129 | 38% | 0.94 | 14.8 |
| Dust2 | 125 | 48% | 1.03 | 14.5 |
| Inferno | 86 | 49% | 1.02 | 15.7 |
| Vertigo | 52 | 50% | 0.99 | 13.9 |
| Nuke | 51 | 51% | 1.09 | 15.2 |
| Cache | 12 | 67% | 1.02 | 15.2 |
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4722 — below the 0.5 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 34.4865% — 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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| cache | 5–13 | 0.02 | 20% | 2 Aug → | |
| mirage | 13–4 | 0.09 | 29% | 1 Aug → | |
| dust2 | 2–13 | 0.09 | 29% | 30 Jul → | |
| inferno | 13–16 | -0.05 | 22% | 30 Jul → | |
| dust2 | 9–13 | -0.06 | 7% | 28 Jul → | |
| mirage | 9–13 | -0.04 | 15% | 28 Jul → | |
| ancient | 6–13 | -0.02 | 17% | 26 Jul → | |
| nuke | 13–10 | 0.05 | 10% | 26 Jul → | |
| inferno | 9–13 | 0.07 | 18% | 21 Jul → | |
| mirage | 13–9 | 0.01 | 13% | 20 Jul → | |
| mirage | 13–10 | -0.04 | 26% | 19 Jul → | |
| anubis | 7–13 | -0.02 | 19% | 19 Jul → | |
| anubis | 7–13 | -0.00 | 13% | 14 Jul → | |
| mirage | 6–13 | 0.08 | 17% | 12 Jul → | |
| dust2 | 4–13 | -0.05 | 13% | 9 Jul → | |
| dust2 | 13–9 | -0.01 | 21% | 9 Jul → | |
| cache | 13–8 | -0.04 | 32% | 7 Jul → | |
| dust2 | 13–8 | 0.05 | 23% | 6 Jul → | |
| mirage | 11–13 | 0.04 | 31% | 6 Jul → | |
| anubis | 13–4 | 0.04 | 21% | 4 Jul → | |
| mirage | 13–2 | -0.00 | 27% | 4 Jul → | |
| dust2 | 9–13 | 0.05 | 28% | 4 Jul → | |
| mirage | 13–5 | 0.15 | 27% | 3 Jul → | |
| anubis | 13–11 | -0.03 | 26% | 1 Jul → | |
| dust2 | 13–6 | -0.03 | 22% | 27 Jun → | |
| anubis | 7–13 | 0.03 | 16% | 27 Jun → | |
| inferno | 13–10 | -0.02 | 18% | 23 Jun → | |
| nuke | 4–13 | -0.01 | 33% | 22 Jun → | |
| ancient | 13–11 | 0.00 | 12% | 22 Jun → | |
| dust2 | 7–13 | 0.02 | 31% | 16 Jun → | |
| dust2 | 11–13 | -0.06 | 15% | 11 Jun → | |
| mirage | 13–9 | 0.04 | 18% | 10 Jun → | |
| inferno | 13–8 | 0.08 | 20% | 9 Jun → | |
| inferno | 0–13 | -0.05 | 43% | 4 Jun → | |
| dust2 | 8–13 | 0.06 | 24% | 3 Jun → | |
| ancient | 16–12 | 0.10 | 20% | 2 Jun → | |
| dust2 | 13–10 | 0.06 | 25% | 2 Jun → | |
| anubis | 13–7 | -0.01 | 17% | 31 May → | |
| inferno | 2–12 | -0.06 | 36% | 30 May → | |
| anubis | 7–13 | -0.03 | 29% | 30 May → | |
| anubis | 11–13 | -0.00 | 10% | 29 May → | |
| dust2 | 2–13 | -0.03 | 14% | 29 May → | |
| mirage | 13–7 | 0.06 | 24% | 29 May → | |
| inferno | 7–13 | -0.05 | 21% | 27 May → | |
| dust2 | 13–9 | 0.03 | 21% | 26 May → | |
| mirage | 13–16 | -0.06 | 12% | 23 May → | |
| dust2 | 0–8 | -0.06 | 60% | 23 May → | |
| nuke | 13–8 | 0.03 | 14% | 23 May → | |
| anubis | 13–7 | 0.01 | 21% | 22 May → | |
| dust2 | 13–8 | 0.03 | 15% | 22 May → | |
| mirage | 13–6 | 0.03 | 30% | 22 May → | |
| dust2 | 13–7 | -0.04 | 17% | 21 May → | |
| dust2 | 13–8 | 0.07 | 17% | 20 May → | |
| anubis | 16–13 | 0.04 | 19% | 20 May → | |
| anubis | 13–9 | 0.02 | 11% | 20 May → | |
| mirage | 13–1 | 0.04 | 15% | 20 May → | |
| mirage | 13–4 | -0.00 | 17% | 19 May → | |
| anubis | 13–4 | -0.02 | 19% | 19 May → | |
| dust2 | 14–16 | -0.04 | 19% | 19 May → | |
| anubis | 13–9 | -0.01 | 10% | 17 May → | |
| mirage | 6–13 | 0.09 | 24% | 17 May → | |
| anubis | 13–11 | -0.00 | 14% | 17 May → | |
| mirage | 12–12 | -0.00 | 17% | 17 May → | |
| inferno | 13–10 | -0.02 | 24% | 15 May → | |
| mirage | 13–4 | 0.06 | 23% | 15 May → | |
| dust2 | 15–15 | -0.01 | 23% | 15 May → | |
| ancient | 8–13 | 0.00 | 23% | 14 May → | |
| mirage | 12–16 | 0.05 | 24% | 14 May → | |
| nuke | 5–13 | -0.08 | 17% | 14 May → | |
| mirage | 13–8 | 0.06 | 17% | 14 May → | |
| anubis | 13–10 | 0.06 | 18% | 13 May → | |
| mirage | 13–10 | 0.00 | 24% | 13 May → | |
| dust2 | 4–13 | -0.02 | 26% | 10 May → | |
| anubis | 11–13 | -0.02 | 23% | 9 May → | |
| ancient | 5–13 | -0.06 | 29% | 9 May → | |
| ancient | 13–8 | -0.02 | 12% | 8 May → | |
| mirage | 13–4 | 0.06 | 11% | 8 May → | |
| mirage | 13–7 | -0.01 | 17% | 7 May → | |
| anubis | 11–13 | 0.03 | 21% | 7 May → | |
| mirage | 10–13 | 0.06 | 24% | 6 May → | |
| mirage | 13–11 | 0.02 | 18% | 6 May → | |
| anubis | 9–13 | 0.01 | 23% | 6 May → | |
| dust2 | 7–13 | 0.01 | 25% | 6 May → | |
| dust2 | 13–2 | 0.08 | 15% | 5 May → | |
| ancient | 15–15 | 0.05 | 9% | 5 May → | |
| nuke | 14–16 | -0.05 | 17% | 4 May → | |
| ancient | 13–10 | -0.01 | 19% | 3 May → | |
| anubis | 2–13 | -0.10 | 12% | 3 May → | |
| mirage | 16–12 | 0.03 | 22% | 2 May → | |
| ancient | 3–13 | -0.05 | 8% | 1 May → | |
| inferno | 7–13 | 0.03 | 22% | 30 Apr → | |
| mirage | 9–13 | 0.06 | 21% | 30 Apr → | |
| anubis | 8–13 | -0.00 | 24% | 29 Apr → | |
| mirage | 13–4 | -0.02 | 36% | 29 Apr → | |
| cache | 11–13 | 0.00 | 18% | 29 Apr → | |
| train | 9–13 | 0.03 | 50% | 28 Apr → | |
| mirage | 10–13 | 0.02 | 22% | 28 Apr → | |
| dust2 | 7–13 | -0.03 | 13% | 28 Apr → | |
| mirage | 13–3 | 0.01 | 16% | 28 Apr → | |
| mirage | 0–13 | -0.08 | 29% | 28 Apr → |
Match data via Leetify.
