BlayK47 — CS2 Stats
76561199090659576[U:1:1130393848]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp 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, opening-duel success.
Where you differ: lower aim profile; lower positioning profile.
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 34 points — deaths here waste a strong aim profile.
Reaction time. 590ms 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 (×1.02 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 | 34 | 21–13 | 62% | -0.01 | |
| C | 23 | 10–13 | 43% | -0.02 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| B | 10 | 5–5 | 50% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.02 | |
| — | 3 | 1–2 | 33% | -0.02 | |
| — | 2 | 1–1 | 50% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 28 | 50% | 1.18 | 16.6 |
| Inferno | 20 | 50% | 1.19 | 17.6 |
| Vertigo | 17 | 47% | 1.19 | 16.0 |
| Dust2 | 17 | 65% | 0.85 | 15.1 |
| Ancient | 7 | 57% | 1.17 | 19.9 |
| Nuke | 6 | 67% | 1.04 | 16.5 |
| Overpass | 6 | 67% | 1.10 | 22.5 |
| Anubis | 5 | 80% | 1.04 | 15.0 |
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 13.3045% — below the 15% 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 32.7512% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–7 | -0.03 | 11% | 27 Aug → | ||
| 16–13 | -0.03 | 13% | 27 Aug → | ||
| 10–13 | -0.03 | 11% | 26 Aug → | ||
| 6–13 | -0.03 | 25% | 26 Aug → | ||
| 11–13 | -0.00 | 17% | 26 Aug → | ||
| 7–13 | -0.06 | 14% | 22 Aug → | ||
| 9–13 | -0.03 | 9% | 22 Aug → | ||
| 1–13 | -0.07 | 7% | 22 Aug → | ||
| 13–3 | -0.04 | 15% | 22 Aug → | ||
| 13–11 | -0.02 | 10% | 22 Aug → | ||
| 10–13 | -0.08 | 14% | 15 Aug → | ||
| 14–16 | -0.03 | 12% | 15 Aug → | ||
| 13–11 | -0.07 | 7% | 15 Aug → | ||
| 13–11 | 0.00 | 11% | 5 Aug → | ||
| 13–10 | -0.00 | 12% | 5 Aug → | ||
| 13–11 | -0.00 | 13% | 25 Jul → | ||
| 13–3 | -0.00 | 15% | 15 Jul → | ||
| 13–7 | -0.01 | 16% | 15 Jul → | ||
| 13–3 | 0.00 | 22% | 17 Jun → | ||
| 13–11 | -0.01 | 18% | 17 Jun → | ||
| 8–13 | -0.03 | 15% | 13 Jun → | ||
| 10–13 | -0.01 | 15% | 13 Jun → | ||
| 8–13 | -0.04 | 13% | 12 Jun → | ||
| 13–10 | -0.04 | 14% | 5 Jun → | ||
| 9–13 | 0.03 | 9% | 5 Jun → | ||
| 10–13 | 0.01 | 5% | 3 Jun → | ||
| 13–10 | -0.03 | 13% | 3 Jun → | ||
| 5–13 | -0.03 | 17% | 31 May → | ||
| 13–7 | 0.02 | 13% | 31 May → | ||
| 15–15 | -0.04 | 17% | 30 May → | ||
| 13–8 | -0.02 | 11% | 30 May → | ||
| 13–8 | 0.03 | 15% | 27 May → | ||
| 13–5 | 0.02 | 31% | 27 May → | ||
| 13–9 | -0.05 | 13% | 27 May → | ||
| 8–13 | 0.04 | 18% | 21 May → | ||
| 7–13 | -0.07 | 10% | 21 May → | ||
| 13–2 | 0.03 | 13% | 21 May → | ||
| 13–11 | -0.03 | 23% | 21 May → | ||
| 13–11 | -0.01 | 11% | 20 May → | ||
| 13–6 | 0.06 | 11% | 20 May → | ||
| 15–15 | 0.00 | 14% | 15 May → | ||
| 16–13 | -0.01 | 14% | 15 May → | ||
| 13–6 | 0.02 | 14% | 15 May → | ||
| 13–10 | -0.01 | 14% | 13 May → | ||
| 0–10 | -0.05 | 19% | 13 May → | ||
| 6–13 | -0.04 | 12% | 12 May → | ||
| 4–13 | 0.02 | 13% | 7 May → | ||
| 13–11 | -0.01 | 17% | 7 May → | ||
| 13–11 | 0.05 | 14% | 7 May → | ||
| 8–13 | -0.02 | 15% | 7 May → | ||
| 6–13 | -0.02 | 7% | 6 May → | ||
| 6–13 | -0.03 | 15% | 6 May → | ||
| 13–6 | 0.03 | 7% | 6 May → | ||
| 13–6 | 0.06 | 12% | 4 May → | ||
| 13–11 | 0.02 | 18% | 4 May → | ||
| 2–13 | -0.05 | 7% | 30 Apr → | ||
| 7–13 | -0.09 | 14% | 30 Apr → | ||
| 13–1 | 0.06 | 12% | 30 Apr → | ||
| 13–11 | -0.04 | 24% | 30 Apr → | ||
| 5–13 | 0.01 | 11% | 26 Apr → | ||
| 9–13 | -0.02 | 15% | 26 Apr → | ||
| 13–11 | -0.05 | 14% | 25 Apr → | ||
| 15–15 | 0.02 | 11% | 25 Apr → | ||
| 11–13 | -0.01 | 16% | 25 Apr → | ||
| 16–12 | -0.02 | 4% | 21 Apr → | ||
| 13–8 | -0.01 | 12% | 20 Apr → | ||
| 8–13 | -0.02 | 23% | 20 Apr → | ||
| 11–13 | 0.03 | 14% | 20 Apr → | ||
| 13–10 | -0.04 | 15% | 11 Apr → | ||
| 13–10 | -0.00 | 12% | 11 Apr → | ||
| 16–13 | 0.04 | 17% | 11 Apr → | ||
| 13–11 | 0.01 | 17% | 4 Apr → | ||
| 14–16 | -0.02 | 12% | 4 Apr → | ||
| 6–13 | 0.02 | 17% | 4 Apr → | ||
| 9–13 | 0.11 | 20% | 1 Apr → | ||
| 13–9 | 0.04 | 20% | 20 Mar → | ||
| 10–13 | -0.04 | 19% | 20 Mar → | ||
| 8–13 | -0.08 | 14% | 11 Mar → | ||
| 13–2 | 0.06 | 43% | 7 Mar → | ||
| 13–9 | -0.02 | 20% | 7 Mar → | ||
| 3–13 | -0.08 | 10% | 7 Mar → | ||
| 15–15 | -0.01 | 10% | 25 Feb → | ||
| 13–10 | -0.04 | 18% | 22 Feb → | ||
| 15–15 | 0.02 | 8% | 22 Feb → | ||
| 11–13 | -0.09 | 15% | 16 Feb → | ||
| 1–13 | -0.12 | 10% | 16 Feb → | ||
| 13–10 | 0.00 | 32% | 16 Feb → | ||
| 11–13 | 0.03 | 19% | 7 Feb → | ||
| 5–13 | -0.05 | 18% | 7 Feb → | ||
| 11–13 | -0.02 | 26% | 7 Feb → | ||
| 13–6 | -0.06 | 19% | 7 Feb → | ||
| 13–6 | -0.02 | 20% | 2 Feb → | ||
| 10–13 | -0.03 | 11% | 2 Feb → | ||
| 13–8 | 0.02 | 29% | 2 Feb → | ||
| 8–13 | 0.05 | 20% | 30 Jan → | ||
| 13–4 | 0.04 | 29% | 30 Jan → | ||
| 13–9 | 0.12 | 16% | 30 Jan → | ||
| 16–13 | -0.03 | 10% | 29 Jan → | ||
| 13–2 | 0.04 | 15% | 29 Jan → | ||
| 9–13 | -0.01 | 13% | 29 Jan → |
Match data via Leetify.