kaykay — CS2 Stats
76561199115337774[U:1:1155072046]✓ No bans
Rating over time
Premier CS Rating
- At peak — 19,999
- Next: Pink band at 20,000 — 1 to go
- Reached: Purple band · Blue band · Light Blue band
- Purple band first seen 2026-08-28
- Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.05 avg rating
Player DNA
Primary style: Hybrid 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 88% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: lower positioning profile; lower aim 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
Reaction time. 561ms 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 5.0/10 (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 |
|---|---|---|---|---|---|
| A | 37 | 22–15 | 59% | 0.01 | |
| B | 20 | 9–11 | 45% | 0.00 | |
| C | 14 | 6–8 | 43% | -0.01 | |
| D | 12 | 1–11 | 8% | -0.03 | |
| D | 9 | 1–8 | 11% | -0.03 | |
| B | 8 | 4–4 | 50% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 17 | 71% | 1.04 | 14.1 |
| Inferno | 8 | 62% | 0.74 | 11.8 |
| Mirage | 8 | 50% | 0.66 | 11.3 |
| Anubis | 8 | 62% | 0.68 | 11.1 |
| Ancient | 7 | 100% | 1.08 | 15.6 |
| Overpass | 1 | 0% | 0.22 | 4.0 |
| Nuke | 1 | 100% | 0.64 | 18.0 |
| Vertigo | 1 | 100% | 1.07 | 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.
- 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 34.3505% — 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.
8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | -0.02 | 31% | 27 Aug → | ||
| 13–8 | -0.00 | 15% | 27 Aug → | ||
| 10–13 | -0.02 | 12% | 25 Aug → | ||
| 4–13 | -0.02 | 16% | 25 Aug → | ||
| 12–12 | -0.04 | 12% | 25 Aug → | ||
| 14–16 | -0.01 | 10% | 24 Aug → | ||
| 9–13 | -0.05 | 15% | 24 Aug → | ||
| 13–9 | -0.02 | 18% | 24 Aug → | ||
| 7–13 | -0.04 | 8% | 24 Aug → | ||
| 6–13 | -0.10 | 21% | 24 Aug → | ||
| 3–13 | -0.03 | 9% | 24 Aug → | ||
| 6–13 | 0.00 | 18% | 23 Aug → | ||
| 6–13 | 0.09 | 26% | 23 Aug → | ||
| 13–11 | -0.00 | 13% | 23 Aug → | ||
| 8–13 | -0.06 | 11% | 23 Aug → | ||
| 16–13 | -0.00 | 14% | 23 Aug → | ||
| 16–13 | 0.12 | 18% | 23 Aug → | ||
| 13–11 | 0.07 | 14% | 23 Aug → | ||
| 10–13 | -0.04 | 25% | 23 Aug → | ||
| 13–6 | 0.01 | 18% | 23 Aug → | ||
| 11–13 | -0.00 | 19% | 23 Aug → | ||
| 13–9 | 0.05 | 26% | 20 Aug → | ||
| 5–13 | -0.03 | 10% | 20 Aug → | ||
| 8–2 | -0.04 | 24% | 20 Aug → | ||
| 9–13 | -0.02 | 17% | 18 Aug → | ||
| 10–13 | -0.09 | 12% | 18 Aug → | ||
| 8–13 | -0.03 | 18% | 18 Aug → | ||
| 10–13 | -0.02 | 20% | 18 Aug → | ||
| 13–10 | 0.01 | 28% | 18 Aug → | ||
| 4–13 | -0.04 | 11% | 18 Aug → | ||
| 11–13 | -0.02 | 12% | 17 Aug → | ||
| 13–8 | -0.01 | 26% | 17 Aug → | ||
| 10–13 | 0.02 | 13% | 17 Aug → | ||
| 13–9 | 0.02 | 21% | 17 Aug → | ||
| 15–15 | -0.01 | 17% | 17 Aug → | ||
| 15–15 | 0.02 | 25% | 16 Aug → | ||
| 13–7 | 0.07 | 13% | 16 Aug → | ||
| 8–13 | -0.01 | 29% | 16 Aug → | ||
| 8–13 | -0.05 | 19% | 16 Aug → | ||
| 13–2 | 0.02 | 19% | 16 Aug → | ||
| 11–13 | -0.04 | 26% | 16 Aug → | ||
| 4–13 | -0.01 | 12% | 16 Aug → | ||
| 4–13 | -0.01 | 21% | 16 Aug → | ||
| 14–16 | -0.08 | 22% | 15 Aug → | ||
| 13–6 | 0.04 | 13% | 15 Aug → | ||
| 13–9 | 0.02 | 15% | 15 Aug → | ||
| 13–6 | 0.05 | 18% | 15 Aug → | ||
| 13–8 | 0.02 | 12% | 15 Aug → | ||
| 3–13 | -0.14 | 11% | 15 Aug → | ||
| 8–13 | -0.03 | 9% | 15 Aug → | ||
| 7–13 | 0.04 | 0% | 13 Aug → | ||
| 12–12 | 0.01 | 22% | 13 Aug → | ||
| 13–9 | 0.08 | 10% | 13 Aug → | ||
| 8–13 | -0.06 | 13% | 12 Aug → | ||
| 13–6 | -0.06 | 19% | 12 Aug → | ||
| 9–0 | 0.08 | 38% | 11 Aug → | ||
| 5–13 | -0.01 | 24% | 11 Aug → | ||
| 9–13 | -0.03 | 20% | 11 Aug → | ||
| 13–6 | 0.03 | 15% | 11 Aug → | ||
| 13–8 | -0.03 | 12% | 10 Aug → | ||
| 10–13 | 0.03 | 26% | 10 Aug → | ||
| 13–7 | 0.00 | 18% | 10 Aug → | ||
| 14–16 | -0.00 | 33% | 10 Aug → | ||
| 7–13 | -0.03 | 21% | 10 Aug → | ||
| 13–16 | -0.02 | 10% | 10 Aug → | ||
| 13–4 | 0.03 | 21% | 9 Aug → | ||
| 7–2 | -0.04 | 13% | 9 Aug → | ||
| 13–7 | 0.04 | 23% | 9 Aug → | ||
| 13–6 | 0.03 | 14% | 9 Aug → | ||
| 4–13 | -0.06 | 19% | 9 Aug → | ||
| 12–5 | 0.03 | 7% | 9 Aug → | ||
| 13–9 | -0.03 | 18% | 9 Aug → | ||
| 13–9 | -0.00 | 9% | 9 Aug → | ||
| 13–6 | 0.04 | 17% | 9 Aug → | ||
| 11–13 | 0.06 | 31% | 9 Aug → | ||
| 7–13 | -0.03 | 21% | 9 Aug → | ||
| 9–13 | 0.01 | 6% | 9 Aug → | ||
| 5–13 | 0.01 | 26% | 9 Aug → | ||
| 13–11 | -0.05 | 22% | 8 Aug → | ||
| 9–13 | -0.03 | 20% | 8 Aug → | ||
| 9–13 | -0.03 | 10% | 8 Aug → | ||
| 6–13 | -0.05 | 8% | 8 Aug → | ||
| 16–12 | -0.02 | 13% | 8 Aug → | ||
| 13–6 | -0.02 | 12% | 7 Aug → | ||
| 11–13 | -0.05 | 29% | 7 Aug → | ||
| 13–3 | -0.00 | 21% | 7 Aug → | ||
| 16–14 | 0.05 | 25% | 6 Aug → | ||
| 10–13 | 0.04 | 24% | 5 Aug → | ||
| 7–13 | 0.01 | 15% | 5 Aug → | ||
| 9–13 | 0.03 | 18% | 5 Aug → | ||
| 13–5 | 0.01 | 25% | 4 Aug → | ||
| 6–13 | -0.02 | 22% | 3 Aug → | ||
| 7–13 | -0.06 | 13% | 3 Aug → | ||
| 9–13 | -0.02 | 20% | 3 Aug → | ||
| 13–6 | 0.02 | 12% | 3 Aug → | ||
| 13–8 | -0.06 | 14% | 3 Aug → | ||
| 5–13 | -0.01 | 23% | 2 Aug → | ||
| 3–13 | -0.01 | 23% | 2 Aug → | ||
| 13–11 | 0.02 | 21% | 2 Aug → | ||
| 13–7 | -0.01 | 24% | 2 Aug → |
Match data via Leetify.
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