Akira — CS2 Stats
HU76561198124369175[U:1:164103447]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 6 among CSDB-tracked players (n=862), 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 6 median | Level 7 median | vs Level 7 |
|---|---|---|---|---|
| Headshot rate | 51.3% | 44.9% | 46.2% | above |
| Shot accuracy | 12.7% | 11.8% | 12.5% | meets |
| Kill/death ratio | 1.08 | 1.04 | 1.06 | above |
| Match win rate | 48.4% | 45.3% | 45.9% | above |
Across every metric we can compare, this profile already matches the typical Level 7 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side opener
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 ropz 90% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: lower aim profile; higher 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
Strengths
CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
T-side openings. Opening success drops from 61% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 558ms 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 |
|---|---|---|---|---|---|
| S | 22 | 15–7 | 68% | 0.01 | |
| A | 19 | 11–8 | 58% | 0.02 | |
| B | 18 | 9–9 | 50% | 0.03 | |
| A | 16 | 9–7 | 56% | 0.04 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 4 | 0–4 | 0% | -0.01 | |
| — | 3 | 0–3 | 0% | -0.01 |
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.
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 resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 57 | 46% | 0.85 | 13.1 |
| Anubis | 53 | 64% | 1.04 | 16.1 |
| Ancient | 41 | 56% | 1.07 | 17.0 |
| Inferno | 30 | 67% | 1.10 | 16.0 |
| Dust2 | 25 | 36% | 0.90 | 14.4 |
| Vertigo | 18 | 39% | 0.86 | 13.5 |
| Nuke | 15 | 40% | 1.04 | 14.4 |
| Overpass | 11 | 55% | 0.89 | 12.2 |
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 0.4954 — 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 34.6823% — 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 | |
|---|---|---|---|---|---|
| 16–14 | -0.03 | 22% | 8 Aug → | ||
| 8–13 | -0.01 | 23% | 4 Aug → | ||
| 13–6 | -0.00 | 39% | 3 Aug → | ||
| 3–13 | -0.01 | 19% | 31 Jul → | ||
| 10–13 | 0.01 | 24% | 29 Jul → | ||
| 13–16 | -0.02 | 30% | 29 Jul → | ||
| 13–1 | 0.25 | 38% | 29 Jul → | ||
| 9–13 | 0.04 | 16% | 27 Jul → | ||
| 13–9 | 0.13 | 26% | 27 Jul → | ||
| 8–13 | -0.05 | 29% | 26 Jul → | ||
| 13–9 | 0.00 | 13% | 26 Jul → | ||
| 13–16 | -0.06 | 15% | 23 Jul → | ||
| 7–13 | 0.04 | 26% | 23 Jul → | ||
| 13–1 | 0.08 | 27% | 23 Jul → | ||
| 13–5 | 0.02 | 31% | 23 Jul → | ||
| 9–13 | -0.02 | 22% | 23 Jul → | ||
| 13–3 | 0.01 | 31% | 21 Jul → | ||
| 13–11 | 0.09 | 37% | 21 Jul → | ||
| 13–1 | -0.01 | 33% | 21 Jul → | ||
| 13–6 | 0.00 | 26% | 16 Jul → | ||
| 8–13 | 0.00 | 18% | 16 Jul → | ||
| 4–13 | 0.00 | 17% | 16 Jul → | ||
| 14–16 | 0.03 | 23% | 16 Jul → | ||
| 13–9 | 0.00 | 19% | 15 Jul → | ||
| 13–10 | 0.05 | 26% | 14 Jul → | ||
| 13–9 | 0.19 | 22% | 14 Jul → | ||
| 13–10 | -0.02 | 21% | 13 Jul → | ||
| 4–13 | 0.01 | 27% | 13 Jul → | ||
| 13–5 | -0.01 | 30% | 13 Jul → | ||
| 5–13 | 0.09 | 28% | 13 Jul → | ||
| 14–16 | 0.03 | 18% | 12 Jul → | ||
| 4–13 | -0.01 | 27% | 12 Jul → | ||
| 13–11 | 0.01 | 23% | 11 Jul → | ||
| 13–6 | 0.01 | 34% | 11 Jul → | ||
| 14–16 | -0.06 | 17% | 10 Jul → | ||
| 13–10 | -0.00 | 21% | 10 Jul → | ||
| 6–13 | 0.03 | 24% | 10 Jul → | ||
| 16–13 | 0.03 | 15% | 10 Jul → | ||
| 8–13 | -0.01 | 13% | 10 Jul → | ||
| 13–9 | 0.13 | 23% | 10 Jul → | ||
| 6–13 | -0.05 | 26% | 10 Jul → | ||
| 9–13 | -0.01 | 21% | 10 Jul → | ||
| 12–12 | 0.04 | 25% | 8 Jul → | ||
| 13–8 | 0.06 | 19% | 5 Jul → | ||
| 13–7 | 0.03 | 27% | 5 Jul → | ||
| 11–13 | 0.04 | 27% | 5 Jul → | ||
| 13–7 | 0.05 | 33% | 4 Jul → | ||
| 13–11 | 0.02 | 39% | 4 Jul → | ||
| 16–13 | 0.06 | 24% | 2 Jul → | ||
| 13–6 | 0.04 | 25% | 2 Jul → | ||
| 13–7 | -0.00 | 22% | 2 Jul → | ||
| 11–13 | 0.06 | 44% | 28 Jun → | ||
| 13–7 | 0.07 | 27% | 28 Jun → | ||
| 13–8 | 0.05 | 41% | 27 Jun → | ||
| 8–13 | -0.03 | 38% | 25 Jun → | ||
| 13–10 | 0.06 | 28% | 22 Jun → | ||
| 11–13 | 0.03 | 30% | 22 Jun → | ||
| 4–13 | 0.04 | 25% | 21 Jun → | ||
| 8–13 | -0.03 | 24% | 21 Jun → | ||
| 13–4 | -0.04 | 0% | 21 Jun → | ||
| 12–16 | 0.04 | 21% | 15 Jun → | ||
| 8–13 | -0.06 | 30% | 15 Jun → | ||
| 13–9 | 0.09 | 22% | 11 Jun → | ||
| 13–6 | 0.08 | 17% | 9 Jun → | ||
| 13–3 | 0.07 | 28% | 9 Jun → | ||
| 9–13 | -0.02 | 19% | 1 Jun → | ||
| 2–13 | -0.04 | 28% | 1 Jun → | ||
| 11–13 | 0.04 | 26% | 1 Jun → | ||
| 13–7 | 0.06 | 28% | 31 May → | ||
| 13–6 | 0.02 | 26% | 19 May → | ||
| 5–13 | -0.04 | 15% | 9 May → | ||
| 8–13 | -0.05 | 19% | 9 May → | ||
| 13–5 | -0.02 | 8% | 9 May → | ||
| 8–13 | 0.00 | 27% | 3 May → | ||
| 13–0 | 0.19 | 60% | 3 May → | ||
| 11–13 | -0.02 | 20% | 3 May → | ||
| 13–7 | -0.01 | 20% | 3 May → | ||
| 13–2 | 0.02 | 38% | 3 May → | ||
| 6–13 | -0.03 | 21% | 3 May → | ||
| 13–4 | 0.01 | 34% | 3 May → | ||
| 9–13 | -0.05 | 33% | 1 May → | ||
| 9–13 | -0.03 | 10% | 1 May → | ||
| 7–13 | -0.00 | 22% | 1 May → | ||
| 13–9 | -0.01 | 24% | 1 May → | ||
| 13–7 | -0.02 | 17% | 28 Apr → | ||
| 11–13 | -0.04 | 19% | 28 Apr → | ||
| 10–13 | 0.08 | 43% | 27 Apr → | ||
| 5–13 | -0.01 | 30% | 27 Apr → | ||
| 11–13 | -0.05 | 29% | 27 Apr → | ||
| 13–0 | 0.00 | 0% | 27 Apr → | ||
| 13–0 | 0.02 | 36% | 27 Apr → | ||
| 13–10 | -0.01 | 26% | 26 Apr → | ||
| 13–10 | 0.01 | 12% | 26 Apr → | ||
| 13–9 | -0.02 | 21% | 26 Apr → | ||
| 4–13 | 0.02 | 24% | 24 Apr → | ||
| 13–9 | 0.05 | 23% | 24 Apr → | ||
| 16–14 | 0.06 | 23% | 23 Apr → | ||
| 10–13 | -0.01 | 11% | 22 Apr → | ||
| 15–15 | -0.06 | 19% | 21 Apr → | ||
| 8–13 | -0.05 | 23% | 21 Apr → |
Match data via Leetify.