AyKay — CS2 Stats
76561198070567302[U:1:110301574]Steam profile ↗
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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: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Strong CT-side openerEffective flashesHigh utility contribution
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 b1t 90% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; higher 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
Strengths
Utility. Utility score of 87 — grenade impact well above the norm.
Areas to improve
T-side openings. Opening success drops from 52% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.
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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 26 | 17–9 | 65% | 0.04 | |
| A | 22 | 12–10 | 55% | 0.03 | |
| S | 12 | 8–4 | 67% | 0.05 | |
| S | 10 | 7–3 | 70% | 0.02 | |
| S | 8 | 6–2 | 75% | 0.02 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.05 | |
| — | 4 | 3–1 | 75% | 0.03 | |
| — | 3 | 2–1 | 67% | 0.09 | |
| office | — | 1 | 0–1 | 0% | 0.12 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (50% over 6). Start with the 6 essential Dust 2 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 | 377 | 55% | 1.21 | 16.6 |
| Anubis | 272 | 59% | 1.14 | 16.7 |
| Dust2 | 242 | 50% | 1.12 | 16.4 |
| Inferno | 221 | 57% | 1.35 | 17.5 |
| Mirage | 137 | 51% | 1.08 | 15.8 |
| Nuke | 130 | 49% | 1.15 | 15.7 |
| Overpass | 105 | 69% | 1.31 | 16.8 |
| Train | 40 | 48% | 1.05 | 14.7 |
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 30.898% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 3–13 | -0.07 | 17% | 23 Aug → | ||
| 13–6 | 0.07 | 18% | 21 Aug → | ||
| 8–13 | -0.01 | 17% | 21 Aug → | ||
| 22–20 | -0.03 | 19% | 18 Aug → | ||
| 10–13 | 0.00 | 19% | 16 Aug → | ||
| 13–10 | 0.16 | 20% | 16 Aug → | ||
| 13–10 | 0.08 | 19% | 16 Aug → | ||
| 13–9 | 0.02 | 10% | 15 Aug → | ||
| 2–13 | 0.04 | 15% | 14 Aug → | ||
| 2–13 | -0.09 | 28% | 12 Aug → | ||
| 13–3 | 0.00 | 13% | 12 Aug → | ||
| 7–13 | -0.03 | 22% | 11 Aug → | ||
| 13–8 | 0.01 | 39% | 8 Aug → | ||
| 13–6 | 0.11 | 15% | 8 Aug → | ||
| 13–9 | 0.07 | 33% | 7 Aug → | ||
| 13–3 | 0.10 | 21% | 3 Aug → | ||
| 13–7 | -0.03 | 17% | 3 Aug → | ||
| 13–11 | -0.00 | 19% | 2 Aug → | ||
| 20–22 | -0.04 | 24% | 1 Aug → | ||
| 4–13 | -0.07 | 24% | 1 Aug → | ||
| 7–13 | -0.03 | 21% | 28 Jul → | ||
| 16–14 | 0.13 | 26% | 28 Jul → | ||
| 16–13 | 0.03 | 19% | 19 Jul → | ||
| 13–6 | 0.00 | 17% | 12 Jul → | ||
| 10–13 | 0.02 | 16% | 12 Jul → | ||
| 13–10 | 0.07 | 10% | 12 Jul → | ||
| 13–1 | 0.05 | 22% | 11 Jul → | ||
| 13–11 | 0.04 | 15% | 11 Jul → | ||
| 14–16 | 0.03 | 20% | 11 Jul → | ||
| 16–19 | -0.02 | 23% | 9 Jul → | ||
| 1–4 | -0.04 | 25% | 4 Jul → | ||
| 13–8 | 0.09 | 26% | 4 Jul → | ||
| 11–13 | 0.02 | 24% | 28 Jun → | ||
| 9–1 | 0.14 | 24% | 28 Jun → | ||
| 13–7 | 0.06 | 21% | 24 Jun → | ||
| 13–10 | 0.00 | 18% | 21 Jun → | ||
| 7–13 | -0.02 | 23% | 20 Jun → | ||
| 3–13 | -0.03 | 29% | 20 Jun → | ||
| 13–5 | 0.08 | 21% | 18 Jun → | ||
| 7–0 | 0.12 | 23% | 18 Jun → | ||
| 11–13 | 0.03 | 24% | 17 Jun → | ||
| 3–13 | -0.00 | 40% | 16 Jun → | ||
| 13–11 | -0.02 | 13% | 11 Jun → | ||
| 5–13 | -0.03 | 39% | 9 Jun → | ||
| 13–1 | 0.01 | 28% | 9 Jun → | ||
| 13–8 | 0.04 | 19% | 6 Jun → | ||
| 13–16 | 0.04 | 28% | 5 Jun → | ||
| 13–9 | 0.02 | 24% | 4 Jun → | ||
| 13–5 | 0.09 | 24% | 3 Jun → | ||
| 2–0 | 0.12 | 50% | 3 Jun → | ||
| 9–13 | 0.04 | 16% | 3 Jun → | ||
| office | 9–13 | 0.12 | 21% | 31 May → | |
| 13–6 | 0.17 | 20% | 31 May → | ||
| 13–4 | 0.10 | 32% | 31 May → | ||
| 13–10 | 0.13 | 27% | 31 May → | ||
| 13–7 | 0.05 | 24% | 31 May → | ||
| 13–8 | 0.10 | 26% | 31 May → | ||
| 13–4 | 0.04 | 30% | 31 May → | ||
| 13–3 | 0.10 | 27% | 31 May → | ||
| 9–13 | 0.02 | 19% | 27 May → | ||
| 13–7 | 0.10 | 17% | 27 May → | ||
| 6–13 | -0.08 | 11% | 24 May → | ||
| 13–7 | 0.04 | 21% | 24 May → | ||
| 2–5 | 0.05 | 28% | 24 May → | ||
| 2–13 | -0.05 | 26% | 24 May → | ||
| 13–8 | 0.15 | 22% | 24 May → | ||
| 13–2 | 0.00 | 15% | 23 May → | ||
| 0–13 | -0.08 | 33% | 23 May → | ||
| 13–11 | 0.00 | 14% | 23 May → | ||
| 9–7 | 0.08 | 25% | 23 May → | ||
| 13–8 | 0.01 | 20% | 22 May → | ||
| 13–7 | 0.08 | 29% | 22 May → | ||
| 13–5 | 0.03 | 30% | 22 May → | ||
| 13–3 | 0.08 | 17% | 22 May → | ||
| 16–13 | 0.09 | 19% | 19 May → | ||
| 16–14 | 0.01 | 19% | 19 May → | ||
| 13–11 | 0.09 | 20% | 19 May → | ||
| 4–13 | 0.05 | 29% | 19 May → | ||
| 10–13 | 0.04 | 24% | 19 May → | ||
| 9–3 | 0.12 | 24% | 17 May → | ||
| 13–8 | 0.04 | 26% | 17 May → | ||
| 13–8 | 0.03 | 29% | 17 May → | ||
| 5–13 | -0.05 | 26% | 9 May → | ||
| 13–6 | 0.04 | 33% | 9 May → | ||
| 13–0 | 0.09 | 28% | 9 May → | ||
| 13–9 | 0.11 | 27% | 8 May → | ||
| 4–13 | -0.02 | 25% | 8 May → | ||
| 13–11 | 0.04 | 26% | 8 May → | ||
| 7–1 | 0.05 | 33% | 8 May → | ||
| 7–13 | 0.04 | 27% | 4 May → | ||
| 13–5 | 0.06 | 28% | 3 May → | ||
| 13–6 | 0.11 | 21% | 29 Apr → | ||
| 9–13 | 0.05 | 43% | 29 Apr → | ||
| 11–13 | -0.02 | 20% | 29 Apr → | ||
| 13–11 | 0.01 | 22% | 28 Apr → | ||
| 13–3 | -0.02 | 27% | 28 Apr → | ||
| 4–9 | 0.02 | 22% | 28 Apr → | ||
| 10–13 | -0.01 | 13% | 25 Apr → | ||
| 13–10 | -0.04 | 15% | 23 Apr → | ||
| 7–9 | -0.08 | 22% | 23 Apr → |
Match data via Leetify.