Lysol — CS2 Stats
76561198039525397[U:1:79259669]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -50pp win rate · -0.03 avg rating
Player DNA
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 Twistzz 90% playstyle similarity
Most alike: utility contribution, positioning profile.
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
Strengths
Flashes. 0.93 enemies blinded per flash — utility that consistently lands.
Areas to improve
Reaction time. 615ms 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 5.2/10 (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 |
|---|---|---|---|---|---|
| B | 33 | 15–18 | 45% | -0.00 | |
| C | 25 | 11–14 | 44% | -0.01 | |
| D | 22 | 5–17 | 23% | -0.03 | |
| B | 15 | 8–7 | 53% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.11 | |
| — | 1 | 0–1 | 0% | -0.09 | |
| office | — | 1 | 0–1 | 0% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
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 10.9573% — 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 32.354% — 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.
23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.09 | 11% | 21 Jul → | ||
| 9–13 | -0.08 | 3% | 13 Jun → | ||
| 11–13 | 0.02 | 21% | 13 Jun → | ||
| 11–13 | -0.03 | 7% | 12 Jun → | ||
| 2–13 | -0.09 | 7% | 11 Jun → | ||
| 8–13 | -0.02 | 11% | 7 Jun → | ||
| 4–13 | -0.00 | 26% | 11 May → | ||
| 16–13 | 0.02 | 9% | 11 May → | ||
| 8–13 | 0.01 | 21% | 10 May → | ||
| 6–13 | -0.01 | 19% | 10 May → | ||
| 13–10 | 0.02 | 11% | 9 May → | ||
| 6–13 | 0.01 | 11% | 7 May → | ||
| 13–4 | 0.00 | 13% | 7 May → | ||
| 6–2 | 0.01 | 4% | 6 May → | ||
| 13–7 | 0.04 | 14% | 6 May → | ||
| 13–16 | 0.01 | 11% | 4 May → | ||
| 13–10 | 0.05 | 14% | 4 May → | ||
| 6–13 | -0.04 | 5% | 4 May → | ||
| 13–9 | -0.05 | 7% | 30 Apr → | ||
| 11–13 | -0.03 | 4% | 27 Apr → | ||
| 13–10 | 0.03 | 16% | 27 Apr → | ||
| 13–10 | -0.07 | 13% | 27 Apr → | ||
| 15–15 | -0.06 | 7% | 26 Apr → | ||
| 15–15 | -0.05 | 8% | 26 Apr → | ||
| 3–13 | -0.11 | 2% | 21 Apr → | ||
| 8–13 | -0.04 | 6% | 21 Apr → | ||
| 13–6 | 0.10 | 18% | 21 Apr → | ||
| 8–13 | -0.06 | 7% | 18 Apr → | ||
| 5–13 | -0.04 | 9% | 18 Apr → | ||
| 13–11 | -0.04 | 12% | 18 Apr → | ||
| 16–14 | 0.01 | 9% | 15 Apr → | ||
| 16–14 | 0.05 | 14% | 13 Apr → | ||
| 10–13 | -0.06 | 9% | 13 Apr → | ||
| 10–13 | -0.05 | 17% | 13 Apr → | ||
| 13–7 | 0.01 | 10% | 12 Apr → | ||
| 9–13 | -0.01 | 13% | 28 Mar → | ||
| 15–15 | -0.02 | 14% | 28 Mar → | ||
| 13–9 | 0.17 | 16% | 14 Mar → | ||
| 3–13 | -0.05 | 11% | 5 Mar → | ||
| 9–13 | -0.03 | 14% | 5 Mar → | ||
| 7–13 | -0.03 | 14% | 24 Feb → | ||
| 5–13 | 0.06 | 17% | 24 Feb → | ||
| 10–13 | -0.01 | 19% | 23 Feb → | ||
| 13–5 | 0.04 | 18% | 23 Feb → | ||
| 13–9 | -0.01 | 11% | 23 Feb → | ||
| 7–13 | -0.03 | 7% | 23 Feb → | ||
| 13–6 | 0.01 | 9% | 20 Feb → | ||
| 13–5 | 0.01 | 10% | 19 Feb → | ||
| 14–16 | 0.03 | 9% | 13 Feb → | ||
| office | 11–13 | -0.04 | 11% | 13 Feb → | |
| 4–13 | -0.05 | 6% | 10 Feb → | ||
| 3–13 | -0.04 | 7% | 10 Feb → | ||
| 8–13 | 0.04 | 8% | 10 Feb → | ||
| 5–13 | -0.06 | 10% | 8 Feb → | ||
| 8–13 | -0.01 | 9% | 8 Feb → | ||
| 8–13 | -0.02 | 15% | 8 Feb → | ||
| 13–2 | 0.04 | 18% | 7 Feb → | ||
| 9–13 | 0.01 | 10% | 7 Feb → | ||
| 8–13 | -0.01 | 9% | 7 Feb → | ||
| 13–10 | -0.05 | 0% | 7 Feb → | ||
| 13–5 | 0.15 | 12% | 6 Feb → | ||
| 9–13 | -0.03 | 10% | 6 Feb → | ||
| 6–13 | 0.00 | 17% | 6 Feb → | ||
| 13–9 | 0.07 | 16% | 3 Feb → | ||
| 13–9 | 0.01 | 8% | 2 Feb → | ||
| 13–11 | 0.00 | 12% | 2 Feb → | ||
| 9–13 | -0.02 | 9% | 2 Feb → | ||
| 7–13 | -0.09 | 10% | 1 Feb → | ||
| 5–13 | -0.05 | 14% | 1 Feb → | ||
| 3–13 | -0.07 | 8% | 1 Feb → | ||
| 16–14 | 0.04 | 9% | 1 Feb → | ||
| 5–13 | -0.04 | 13% | 1 Feb → | ||
| 13–10 | -0.01 | 14% | 1 Feb → | ||
| alpine | 4–5 | -0.01 | 27% | 31 Jan → | |
| 5–13 | -0.04 | 11% | 31 Jan → | ||
| 13–8 | 0.13 | 13% | 31 Jan → | ||
| 16–14 | -0.03 | 15% | 29 Jan → | ||
| 13–8 | 0.01 | 14% | 29 Jan → | ||
| 9–13 | -0.06 | 8% | 29 Jan → | ||
| 4–13 | -0.10 | 33% | 27 Jan → | ||
| 0–13 | -0.05 | 11% | 27 Jan → | ||
| 13–3 | 0.02 | 12% | 27 Jan → | ||
| 13–6 | 0.04 | 3% | 27 Jan → | ||
| 10–13 | -0.03 | 9% | 27 Jan → | ||
| 4–13 | -0.03 | 3% | 27 Jan → | ||
| 16–14 | 0.06 | 9% | 27 Jan → | ||
| 14–16 | 0.01 | 11% | 27 Jan → | ||
| 13–8 | 0.03 | 14% | 27 Jan → | ||
| 8–13 | -0.06 | 13% | 26 Jan → | ||
| 5–13 | -0.11 | 14% | 26 Jan → | ||
| 15–15 | -0.02 | 6% | 25 Jan → | ||
| 13–2 | 0.08 | 9% | 25 Jan → | ||
| 4–13 | -0.04 | 0% | 25 Jan → | ||
| 13–8 | 0.03 | 8% | 25 Jan → | ||
| 10–13 | 0.02 | 12% | 24 Jan → | ||
| 13–11 | -0.00 | 14% | 24 Jan → | ||
| 13–8 | 0.05 | 9% | 24 Jan → | ||
| 13–4 | 0.01 | 10% | 24 Jan → | ||
| 10–13 | -0.03 | 6% | 23 Jan → | ||
| 7–0 | -0.06 | 8% | 23 Jan → |
Match data via Leetify.
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