KaySHE — CS2 Stats
GB76561199038451390[U:1:1078185662]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 b1t 93% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
Where you differ: 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
T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 630ms 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 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 26 | 16–10 | 62% | -0.01 | |
| A | 21 | 13–8 | 62% | -0.00 | |
| C | 18 | 7–11 | 39% | -0.02 | |
| C | 15 | 6–9 | 40% | -0.00 | |
| A | 11 | 7–4 | 64% | -0.01 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 2 | 2–0 | 100% | 0.05 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 192 | 52% | 1.01 | 16.2 |
| Dust2 | 139 | 47% | 1.01 | 15.4 |
| Inferno | 120 | 50% | 0.96 | 15.2 |
| Ancient | 116 | 51% | 1.10 | 16.8 |
| Anubis | 109 | 55% | 0.98 | 14.9 |
| Nuke | 39 | 41% | 1.01 | 15.8 |
| Vertigo | 32 | 59% | 1.05 | 15.4 |
| Overpass | 20 | 40% | 0.85 | 14.3 |
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 0.4866 — 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 29.8502% — 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.
39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | 0.06 | 15% | 14 Jul → | ||
| 13–10 | 0.04 | 15% | 13 Jul → | ||
| 13–9 | 0.03 | 24% | 9 Jul → | ||
| 9–13 | -0.01 | 11% | 8 Jul → | ||
| 12–16 | 0.02 | 10% | 8 Jul → | ||
| 8–13 | -0.06 | 21% | 8 Jul → | ||
| 13–5 | 0.05 | 14% | 6 Jul → | ||
| 13–5 | -0.02 | 17% | 27 Jun → | ||
| 2–13 | -0.09 | 11% | 26 Jun → | ||
| 6–13 | -0.04 | 16% | 26 Jun → | ||
| 13–10 | -0.01 | 13% | 26 Jun → | ||
| 13–7 | -0.05 | 16% | 25 Jun → | ||
| 13–9 | -0.01 | 16% | 25 Jun → | ||
| 13–6 | 0.00 | 21% | 18 Jun → | ||
| 7–13 | -0.03 | 11% | 18 Jun → | ||
| 15–19 | -0.01 | 17% | 18 Jun → | ||
| 16–12 | 0.03 | 15% | 17 Jun → | ||
| 6–13 | -0.05 | 15% | 17 Jun → | ||
| 13–10 | -0.01 | 20% | 17 Jun → | ||
| 25–21 | -0.01 | 19% | 15 Jun → | ||
| 13–5 | 0.01 | 16% | 14 Jun → | ||
| 9–13 | -0.01 | 12% | 14 Jun → | ||
| 13–11 | 0.12 | 22% | 13 Jun → | ||
| 11–13 | -0.05 | 17% | 12 Jun → | ||
| 13–8 | 0.04 | 13% | 10 Jun → | ||
| 13–2 | 0.04 | 27% | 10 Jun → | ||
| 13–10 | 0.00 | 23% | 29 May → | ||
| 5–13 | 0.01 | 19% | 29 May → | ||
| 7–13 | -0.05 | 13% | 29 May → | ||
| 13–8 | 0.02 | 17% | 27 May → | ||
| 8–13 | -0.02 | 22% | 27 May → | ||
| 13–7 | 0.02 | 25% | 27 May → | ||
| 16–13 | -0.03 | 12% | 25 May → | ||
| 7–13 | 0.03 | 12% | 25 May → | ||
| 13–9 | -0.02 | 16% | 25 May → | ||
| 6–13 | -0.01 | 10% | 20 May → | ||
| 12–16 | -0.01 | 16% | 20 May → | ||
| 13–10 | 0.02 | 19% | 14 May → | ||
| 13–10 | -0.04 | 17% | 14 May → | ||
| 14–16 | -0.01 | 21% | 12 May → | ||
| 13–10 | -0.02 | 11% | 12 May → | ||
| 16–13 | 0.01 | 8% | 12 May → | ||
| 13–5 | 0.01 | 13% | 1 May → | ||
| 13–5 | 0.04 | 11% | 1 May → | ||
| 13–10 | -0.03 | 15% | 27 Apr → | ||
| 11–13 | -0.01 | 13% | 27 Apr → | ||
| 10–13 | -0.03 | 9% | 9 Apr → | ||
| 6–13 | -0.03 | 12% | 9 Apr → | ||
| 4–13 | -0.07 | 14% | 9 Apr → | ||
| 10–13 | -0.06 | 11% | 30 Mar → | ||
| 13–10 | -0.06 | 8% | 27 Mar → | ||
| 13–10 | 0.03 | 9% | 24 Mar → | ||
| 13–6 | -0.00 | 8% | 22 Mar → | ||
| 3–13 | 0.01 | 28% | 21 Mar → | ||
| 5–13 | 0.02 | 13% | 21 Mar → | ||
| 9–13 | -0.07 | 9% | 21 Mar → | ||
| 13–6 | 0.04 | 7% | 21 Mar → | ||
| 6–13 | -0.04 | 16% | 12 Mar → | ||
| 13–11 | 0.05 | 25% | 12 Mar → | ||
| 5–13 | -0.04 | 10% | 12 Mar → | ||
| 16–14 | 0.12 | 7% | 10 Mar → | ||
| 9–13 | -0.00 | 18% | 10 Mar → | ||
| 16–13 | -0.06 | 13% | 5 Mar → | ||
| 13–8 | 0.04 | 18% | 5 Mar → | ||
| 6–13 | -0.04 | 18% | 5 Mar → | ||
| 13–7 | 0.01 | 13% | 1 Mar → | ||
| 13–8 | -0.02 | 13% | 1 Mar → | ||
| 13–9 | -0.01 | 12% | 27 Feb → | ||
| 10–13 | -0.05 | 6% | 27 Feb → | ||
| 13–5 | -0.05 | 19% | 22 Feb → | ||
| 7–13 | -0.04 | 12% | 22 Feb → | ||
| 13–9 | 0.01 | 24% | 21 Feb → | ||
| 4–13 | -0.07 | 24% | 16 Feb → | ||
| 7–13 | -0.03 | 21% | 15 Feb → | ||
| 3–13 | -0.04 | 32% | 10 Feb → | ||
| 16–12 | -0.01 | 6% | 10 Feb → | ||
| 10–13 | -0.05 | 14% | 8 Feb → | ||
| 13–8 | -0.01 | 19% | 8 Feb → | ||
| 16–14 | -0.06 | 8% | 6 Feb → | ||
| 13–8 | 0.05 | 12% | 6 Feb → | ||
| 10–13 | 0.00 | 10% | 30 Jan → | ||
| 13–7 | -0.00 | 10% | 30 Jan → | ||
| 6–13 | -0.04 | 14% | 22 Jan → | ||
| 13–5 | 0.06 | 12% | 22 Jan → | ||
| 8–13 | 0.00 | 10% | 17 Jan → | ||
| 9–13 | -0.01 | 7% | 16 Jan → | ||
| 11–13 | 0.04 | 11% | 16 Jan → | ||
| 13–8 | -0.02 | 21% | 15 Jan → | ||
| 16–14 | 0.01 | 13% | 15 Jan → | ||
| 13–8 | -0.02 | 14% | 12 Jan → | ||
| 13–9 | -0.04 | 9% | 9 Jan → | ||
| 13–11 | 0.01 | 15% | 9 Jan → | ||
| 10–13 | -0.04 | 20% | 9 Jan → | ||
| 2–13 | -0.03 | 11% | 4 Jan → | ||
| 13–10 | -0.03 | 9% | 17 Dec → | ||
| 13–3 | 0.03 | 27% | 17 Dec → | ||
| 13–10 | 0.06 | 13% | 14 Dec → | ||
| 10–13 | 0.01 | 15% | 13 Dec → | ||
| 10–13 | -0.01 | 11% | 13 Dec → | ||
| 10–13 | -0.02 | 9% | 13 Dec → |
Match data via Leetify.