★ Rayleigh — CS2 Stats
76561198219023173[U:1:258757445]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 61.7% | 51.9% |
| Shot accuracy | 18.4% | 13.7% |
| Kill/death ratio | 0.95 | 1.08 |
| Match win rate | 40.8% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafing
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 sh1ro 96% playstyle similarity
Most alike: utility contribution, opening-duel success.
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
Aim. Aim score of 88 — the mechanical foundation is a clear strength.
Areas to improve
Reaction time. 570ms 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 7.4/10 (Strong), 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 | 23 | 12–11 | 52% | 0.02 | |
| A | 22 | 14–8 | 64% | 0.05 | |
| A | 18 | 10–8 | 56% | 0.03 | |
| D | 15 | 5–10 | 33% | 0.01 | |
| C | 7 | 3–4 | 43% | 0.01 | |
| B | 6 | 3–3 | 50% | 0.06 | |
| poseidon | — | 4 | 0–4 | 0% | 0.05 |
| — | 3 | 1–2 | 33% | -0.04 | |
| warden | — | 1 | 0–1 | 0% | 0.15 |
| — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 79 | 49% | 1.42 | 19.9 |
| Inferno | 43 | 60% | 1.49 | 19.1 |
| Dust2 | 34 | 35% | 1.40 | 19.2 |
| Ancient | 21 | 38% | 1.37 | 19.3 |
| Anubis | 10 | 80% | 1.95 | 20.5 |
| Overpass | 10 | 70% | 1.26 | 17.3 |
| Train | 7 | 71% | 1.49 | 16.4 |
| Nuke | 6 | 83% | 1.50 | 16.7 |
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.
- 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 0.4689 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–5 | 0.03 | 36% | 23 Aug → | ||
| 4–13 | -0.01 | 34% | 24 May → | ||
| 13–5 | 0.11 | 26% | 21 May → | ||
| 4–0 | 0.09 | 33% | 21 May → | ||
| 13–9 | -0.05 | 15% | 15 May → | ||
| 13–3 | 0.06 | 33% | 15 May → | ||
| 13–11 | 0.02 | 17% | 15 May → | ||
| 7–13 | 0.09 | 27% | 13 May → | ||
| 11–13 | 0.01 | 22% | 13 May → | ||
| 13–9 | 0.08 | 24% | 11 May → | ||
| 13–10 | -0.04 | 24% | 11 May → | ||
| 13–5 | 0.09 | 30% | 10 May → | ||
| 13–5 | 0.06 | 20% | 10 May → | ||
| 8–13 | -0.01 | 23% | 9 May → | ||
| 9–13 | 0.02 | 19% | 5 May → | ||
| 13–7 | 0.06 | 18% | 4 May → | ||
| 13–9 | 0.10 | 30% | 4 May → | ||
| 13–4 | 0.12 | 24% | 4 May → | ||
| 13–3 | 0.06 | 26% | 4 May → | ||
| 9–13 | 0.05 | 35% | 30 Apr → | ||
| 13–10 | 0.06 | 34% | 30 Apr → | ||
| 12–12 | 0.06 | 21% | 29 Apr → | ||
| 13–11 | 0.04 | 19% | 29 Apr → | ||
| 5–13 | -0.01 | 23% | 29 Apr → | ||
| 14–16 | -0.02 | 22% | 28 Apr → | ||
| 12–12 | -0.01 | 23% | 26 Apr → | ||
| 8–13 | -0.00 | 33% | 26 Apr → | ||
| warden | 12–12 | 0.15 | 24% | 24 Apr → | |
| 12–12 | 0.02 | 20% | 24 Apr → | ||
| 3–13 | -0.05 | 21% | 24 Apr → | ||
| 12–12 | -0.02 | 19% | 23 Apr → | ||
| 11–13 | 0.04 | 28% | 22 Apr → | ||
| 13–5 | 0.08 | 28% | 22 Apr → | ||
| 1–4 | 0.05 | 17% | 22 Apr → | ||
| 8–8 | 0.05 | 17% | 26 Mar → | ||
| 5–13 | -0.02 | 42% | 20 Feb → | ||
| 13–8 | 0.08 | 33% | 17 Feb → | ||
| 13–8 | 0.07 | 19% | 17 Feb → | ||
| 10–13 | -0.01 | 29% | 15 Feb → | ||
| 5–13 | -0.02 | 25% | 13 Feb → | ||
| 10–13 | 0.03 | 26% | 10 Feb → | ||
| 13–11 | 0.06 | 14% | 10 Feb → | ||
| 16–14 | 0.13 | 31% | 10 Feb → | ||
| 8–13 | -0.01 | 26% | 9 Feb → | ||
| 13–6 | 0.00 | 30% | 9 Feb → | ||
| 6–13 | -0.03 | 22% | 7 Feb → | ||
| 13–8 | 0.08 | 22% | 7 Feb → | ||
| 13–8 | 0.04 | 24% | 6 Feb → | ||
| 8–13 | -0.04 | 21% | 5 Feb → | ||
| 16–14 | 0.05 | 28% | 5 Feb → | ||
| 3–13 | -0.06 | 25% | 5 Feb → | ||
| 4–13 | -0.02 | 15% | 4 Feb → | ||
| 13–9 | -0.04 | 25% | 4 Feb → | ||
| 13–7 | 0.03 | 28% | 4 Feb → | ||
| 7–13 | -0.01 | 23% | 4 Feb → | ||
| 5–13 | -0.02 | 24% | 3 Feb → | ||
| 13–9 | 0.05 | 33% | 3 Feb → | ||
| 11–13 | -0.01 | 24% | 3 Feb → | ||
| 11–13 | 0.09 | 28% | 3 Feb → | ||
| 13–7 | 0.04 | 22% | 3 Feb → | ||
| 5–13 | 0.03 | 40% | 3 Feb → | ||
| 6–13 | -0.02 | 34% | 3 Feb → | ||
| poseidon | 4–9 | 0.04 | 38% | 3 Feb → | |
| poseidon | 8–8 | 0.15 | 26% | 3 Feb → | |
| 13–5 | -0.01 | 31% | 2 Feb → | ||
| 1–13 | 0.01 | 17% | 2 Feb → | ||
| 13–11 | 0.06 | 38% | 2 Feb → | ||
| 11–13 | -0.02 | 26% | 1 Feb → | ||
| 13–9 | 0.11 | 32% | 1 Feb → | ||
| 15–15 | -0.01 | 23% | 1 Feb → | ||
| 2–13 | -0.01 | 50% | 31 Jan → | ||
| 3–13 | -0.04 | 21% | 31 Jan → | ||
| 13–7 | 0.00 | 16% | 31 Jan → | ||
| 16–13 | 0.02 | 26% | 30 Jan → | ||
| 8–13 | 0.02 | 21% | 30 Jan → | ||
| 9–13 | -0.02 | 16% | 30 Jan → | ||
| 13–10 | 0.06 | 28% | 30 Jan → | ||
| 3–13 | 0.02 | 41% | 30 Jan → | ||
| 7–13 | 0.02 | 34% | 30 Jan → | ||
| 13–2 | 0.04 | 30% | 29 Jan → | ||
| 6–13 | 0.01 | 15% | 29 Jan → | ||
| 13–10 | 0.10 | 29% | 28 Jan → | ||
| 13–3 | 0.03 | 38% | 28 Jan → | ||
| 13–9 | -0.00 | 33% | 28 Jan → | ||
| poseidon | 4–9 | -0.04 | 33% | 28 Jan → | |
| poseidon | 8–8 | 0.07 | 30% | 28 Jan → | |
| 7–13 | 0.01 | 30% | 27 Jan → | ||
| 13–3 | 0.11 | 25% | 27 Jan → | ||
| 8–13 | -0.03 | 23% | 27 Jan → | ||
| 9–13 | 0.01 | 27% | 27 Jan → | ||
| 6–13 | 0.02 | 14% | 27 Jan → | ||
| 7–13 | 0.02 | 35% | 26 Jan → | ||
| 16–14 | 0.08 | 25% | 26 Jan → | ||
| 13–10 | 0.05 | 12% | 26 Jan → | ||
| 13–6 | 0.01 | 39% | 26 Jan → | ||
| 13–7 | 0.11 | 22% | 25 Jan → | ||
| 13–10 | -0.03 | 21% | 25 Jan → | ||
| 11–13 | -0.00 | 17% | 25 Jan → | ||
| 16–14 | 0.03 | 26% | 24 Jan → | ||
| 13–8 | 0.05 | 25% | 24 Jan → |
Match data via Leetify.