Rayza — CS2 Stats
US76561197976074351[U:1:15808623]Steam profile ↗
How this compares with the same rank
Median values for Level 4 among CSDB-tracked players (n=928), 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 4 median | Level 5 median | vs Level 5 |
|---|---|---|---|---|
| Headshot rate | 54.0% | 42.5% | 44.2% | above |
| Shot accuracy | 16.9% | 10.9% | 11.2% | above |
| Kill/death ratio | 1.20 | 0.99 | 1.04 | above |
| Match win rate | 43.0% | 44.2% | 45.3% | 2.3% short |
This profile matches the typical Level 5 player on 3 of 4 comparable metrics.
Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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: -20pp win rate · +0.01 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Effective flashes
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 device 91% 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
Areas to improve
Reaction time. 654ms 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 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 | 39 | 22–17 | 56% | 0.04 | |
| B | 14 | 7–7 | 50% | -0.01 | |
| A | 13 | 8–5 | 62% | -0.02 | |
| A | 10 | 6–4 | 60% | -0.00 | |
| S | 8 | 6–2 | 75% | -0.00 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| D | 6 | 2–4 | 33% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.00 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 6). 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 resultsWLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 57% | 1.98 | 17.7 |
| Ancient | 12 | 42% | 1.25 | 19.4 |
| Anubis | 7 | 29% | 1.16 | 19.0 |
| Nuke | 7 | 86% | 1.38 | 19.7 |
| Inferno | 4 | 50% | 1.50 | 20.5 |
| Overpass | 3 | 67% | 0.87 | 12.0 |
| Vertigo | 3 | 67% | 1.61 | 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
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.01 | 12% | 14 Jun → | ||
| 13–5 | 0.02 | 23% | 14 Jun → | ||
| 16–14 | 0.00 | 21% | 13 Jun → | ||
| 2–13 | -0.06 | 12% | 13 Jun → | ||
| 14–16 | -0.03 | 26% | 13 Jun → | ||
| 13–7 | 0.04 | 35% | 13 Jun → | ||
| 16–14 | -0.05 | 18% | 13 Jun → | ||
| 13–10 | 0.02 | 15% | 13 Jun → | ||
| 9–13 | -0.04 | 13% | 13 Jun → | ||
| 11–13 | 0.09 | 20% | 12 Jun → | ||
| 13–8 | -0.04 | 12% | 12 Jun → | ||
| 13–4 | -0.00 | 29% | 12 Jun → | ||
| 13–10 | 0.04 | 16% | 7 Jun → | ||
| 13–4 | 0.03 | 12% | 7 Jun → | ||
| 13–7 | 0.03 | 10% | 6 Jun → | ||
| 11–13 | -0.03 | 11% | 6 Jun → | ||
| 3–13 | -0.10 | 26% | 6 Jun → | ||
| 13–10 | -0.07 | 20% | 5 Jun → | ||
| 13–8 | -0.01 | 16% | 5 Jun → | ||
| 11–13 | -0.00 | 20% | 5 Jun → | ||
| 13–9 | 0.02 | 9% | 5 Jun → | ||
| 6–13 | 0.00 | 7% | 5 Jun → | ||
| 13–8 | 0.01 | 21% | 1 Jun → | ||
| 13–16 | 0.01 | 19% | 31 May → | ||
| 13–11 | -0.04 | 32% | 30 May → | ||
| 13–8 | -0.04 | 13% | 24 May → | ||
| 13–11 | 0.01 | 15% | 20 May → | ||
| 13–8 | -0.03 | 22% | 19 May → | ||
| 8–13 | -0.04 | 22% | 18 May → | ||
| 9–13 | 0.00 | 16% | 18 May → | ||
| 0–13 | -0.06 | 0% | 18 May → | ||
| 13–11 | 0.00 | 18% | 15 May → | ||
| 8–13 | -0.04 | 23% | 15 May → | ||
| 13–11 | -0.06 | 12% | 15 May → | ||
| 11–13 | -0.02 | 22% | 14 May → | ||
| 13–4 | 0.05 | 15% | 14 May → | ||
| 13–4 | 0.14 | 24% | 14 May → | ||
| 13–9 | 0.02 | 21% | 14 May → | ||
| 7–13 | -0.05 | 18% | 14 May → | ||
| 13–9 | 0.09 | 16% | 14 May → | ||
| 9–13 | -0.05 | 19% | 14 May → | ||
| 7–13 | 0.01 | 19% | 13 May → | ||
| 8–1 | 0.11 | 14% | 13 May → | ||
| 13–11 | 0.02 | 9% | 13 May → | ||
| 5–13 | 0.03 | 12% | 13 May → | ||
| 6–3 | 0.00 | 10% | 13 May → | ||
| 5–13 | -0.04 | 12% | 13 May → | ||
| 9–13 | -0.03 | 23% | 13 May → | ||
| 13–3 | 0.09 | 21% | 13 May → | ||
| 8–13 | -0.06 | 10% | 12 May → | ||
| 4–13 | 0.03 | 16% | 12 May → | ||
| 13–1 | 0.15 | 14% | 12 May → | ||
| 10–13 | 0.01 | 15% | 12 May → | ||
| 15–15 | -0.04 | 10% | 12 May → | ||
| 13–8 | -0.03 | 8% | 12 May → | ||
| 7–13 | -0.08 | 3% | 12 May → | ||
| 13–11 | -0.05 | 9% | 12 May → | ||
| 13–4 | 0.26 | 25% | 12 May → | ||
| 10–13 | 0.12 | 13% | 8 May → | ||
| 13–2 | 0.07 | 13% | 7 May → | ||
| 13–6 | -0.03 | 13% | 7 May → | ||
| 13–6 | 0.02 | 15% | 7 May → | ||
| 13–9 | -0.03 | 10% | 7 May → | ||
| 16–12 | 0.02 | 13% | 7 May → | ||
| 1–13 | -0.04 | 15% | 7 May → | ||
| 13–2 | -0.01 | 29% | 7 May → | ||
| 12–12 | -0.01 | 23% | 7 May → | ||
| 13–8 | -0.01 | 12% | 6 May → | ||
| 13–7 | -0.01 | 20% | 6 May → | ||
| 13–11 | -0.03 | 19% | 6 May → | ||
| 13–10 | -0.01 | 20% | 6 May → | ||
| 13–9 | -0.04 | 16% | 6 May → | ||
| 10–13 | 0.03 | 17% | 6 May → | ||
| 13–16 | 0.01 | 10% | 5 May → | ||
| 13–2 | 0.10 | 14% | 5 May → | ||
| 11–13 | -0.03 | 18% | 5 May → | ||
| 13–10 | 0.07 | 18% | 3 May → | ||
| 3–13 | 0.04 | 28% | 3 May → | ||
| 13–4 | 0.14 | 26% | 3 May → | ||
| 13–10 | 0.03 | 14% | 2 May → | ||
| 5–13 | 0.04 | 16% | 2 May → | ||
| 10–13 | 0.01 | 11% | 2 May → | ||
| 13–16 | -0.03 | 16% | 1 May → | ||
| 13–1 | 0.08 | 20% | 1 May → | ||
| 13–9 | 0.08 | 13% | 1 May → | ||
| 13–0 | 0.09 | 17% | 1 May → | ||
| 13–3 | 0.09 | 18% | 1 May → | ||
| 12–12 | 0.01 | 15% | 1 May → | ||
| 11–13 | 0.02 | 13% | 1 May → | ||
| 10–13 | -0.03 | 15% | 1 May → | ||
| 8–13 | -0.07 | 16% | 1 May → | ||
| 4–13 | 0.04 | 20% | 1 May → | ||
| 8–13 | -0.06 | 21% | 1 May → | ||
| 11–13 | -0.02 | 16% | 1 May → | ||
| 13–11 | 0.03 | 20% | 28 Apr → | ||
| 13–7 | -0.06 | 13% | 28 Apr → | ||
| 13–6 | 0.06 | 11% | 27 Apr → | ||
| 13–1 | 0.06 | 16% | 27 Apr → | ||
| 1–9 | -0.01 | 4% | 27 Apr → | ||
| 13–6 | 0.03 | 28% | 27 Apr → |
Match data via Leetify.