rayno — CS2 Stats
CL76561198313492105[U:1:353226377]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=7,415), 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 | 58.5% | 51.7% |
| Shot accuracy | 13.5% | 13.8% |
| Kill/death ratio | 1.53 | 1.09 |
| Match win rate | 51.4% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · +0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimer
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 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower opening-fight frequency.
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 87 — the mechanical foundation is a clear strength.
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 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
 ancient | B | 22 | 11–11 | 50% | 0.03 |
 anubis | A | 21 | 13–8 | 62% | 0.03 |
 inferno | C | 14 | 6–8 | 43% | -0.01 |
 mirage | S | 13 | 10–3 | 77% | 0.01 |
 overpass | A | 11 | 7–4 | 64% | 0.02 |
 dust2 | C | 11 | 4–7 | 36% | -0.01 |
 nuke | — | 4 | 1–3 | 25% | -0.02 |
 train | — | 3 | 1–2 | 33% | -0.00 |
 cache | — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (36% over 11). 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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 324 | 56% | 1.13 | 16.8 |
| Anubis | 165 | 53% | 1.11 | 16.6 |
| Mirage | 153 | 46% | 1.00 | 15.6 |
| Inferno | 125 | 54% | 1.08 | 16.2 |
| Dust2 | 79 | 43% | 1.03 | 16.0 |
| Overpass | 78 | 49% | 1.18 | 17.1 |
| Train | 34 | 44% | 1.08 | 16.2 |
| Nuke | 27 | 48% | 0.86 | 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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| nuke | 13–4 | -0.07 | 11% | 19 Aug → | |
| cache | 13–8 | 0.04 | 30% | 15 Aug → | |
| ancient | 13–5 | 0.10 | 13% | 12 Aug → | |
| anubis | 10–13 | 0.02 | 22% | 10 Aug → | |
| anubis | 13–6 | 0.06 | 19% | 5 Aug → | |
| ancient | 8–13 | 0.01 | 19% | 4 Aug → | |
| inferno | 11–13 | -0.02 | 26% | 26 Jul → | |
| ancient | 13–9 | 0.03 | 11% | 24 Jul → | |
| inferno | 16–14 | -0.01 | 25% | 24 Jul → | |
| anubis | 13–9 | 0.02 | 21% | 23 Jul → | |
| nuke | 7–13 | -0.03 | 11% | 21 Jul → | |
| ancient | 13–10 | -0.07 | 13% | 16 Jul → | |
| anubis | 13–6 | 0.08 | 20% | 12 Jul → | |
| ancient | 11–13 | 0.02 | 18% | 12 Jul → | |
| anubis | 13–11 | -0.03 | 25% | 5 Jul → | |
| ancient | 9–13 | -0.02 | 23% | 28 Jun → | |
| overpass | 13–6 | 0.07 | 28% | 26 Jun → | |
| mirage | 13–11 | 0.01 | 22% | 19 Jun → | |
| dust2 | 6–13 | -0.05 | 35% | 19 Jun → | |
| overpass | 14–16 | -0.01 | 28% | 17 Jun → | |
| ancient | 13–5 | 0.08 | 25% | 17 Jun → | |
| anubis | 13–8 | 0.04 | 15% | 15 Jun → | |
| mirage | 9–13 | -0.07 | 26% | 7 Jun → | |
| overpass | 13–6 | 0.08 | 10% | 6 Jun → | |
| anubis | 13–5 | 0.06 | 26% | 4 Jun → | |
| anubis | 14–16 | -0.00 | 13% | 3 Jun → | |
| mirage | 16–13 | -0.01 | 14% | 3 Jun → | |
| inferno | 11–13 | 0.02 | 15% | 25 May → | |
| ancient | 16–19 | -0.02 | 16% | 20 May → | |
| ancient | 8–13 | 0.05 | 17% | 12 May → | |
| anubis | 9–13 | -0.04 | 22% | 5 May → | |
| overpass | 4–13 | -0.05 | 27% | 30 Apr → | |
| anubis | 6–13 | 0.03 | 22% | 27 Apr → | |
| ancient | 13–6 | 0.01 | 14% | 26 Apr → | |
| inferno | 19–15 | 0.02 | 18% | 26 Apr → | |
| anubis | 13–16 | 0.00 | 18% | 22 Apr → | |
| anubis | 13–5 | 0.07 | 14% | 22 Apr → | |
| anubis | 9–13 | -0.01 | 12% | 21 Apr → | |
| anubis | 19–15 | 0.04 | 12% | 21 Apr → | |
| ancient | 11–13 | 0.02 | 19% | 6 Apr → | |
| ancient | 13–6 | 0.09 | 23% | 6 Apr → | |
| mirage | 13–7 | -0.01 | 10% | 6 Apr → | |
| anubis | 13–10 | -0.03 | 13% | 6 Apr → | |
| overpass | 13–11 | 0.02 | 26% | 27 Mar → | |
| mirage | 8–13 | 0.02 | 21% | 27 Mar → | |
| inferno | 6–13 | -0.01 | 24% | 27 Mar → | |
| dust2 | 8–13 | -0.02 | 23% | 25 Mar → | |
| anubis | 10–13 | -0.01 | 19% | 25 Mar → | |
| inferno | 10–13 | 0.06 | 17% | 25 Mar → | |
| anubis | 13–9 | 0.07 | 15% | 24 Mar → | |
| overpass | 13–8 | 0.04 | 20% | 24 Mar → | |
| anubis | 13–9 | 0.07 | 11% | 24 Mar → | |
| mirage | 13–8 | 0.04 | 17% | 24 Mar → | |
| ancient | 13–11 | -0.05 | 11% | 24 Mar → | |
| inferno | 10–13 | -0.02 | 18% | 24 Mar → | |
| dust2 | 13–11 | -0.01 | 15% | 23 Mar → | |
| mirage | 13–10 | -0.03 | 18% | 22 Mar → | |
| anubis | 13–8 | 0.02 | 27% | 22 Mar → | |
| ancient | 13–3 | 0.07 | 19% | 18 Mar → | |
| overpass | 13–10 | -0.00 | 19% | 16 Mar → | |
| anubis | 4–13 | -0.04 | 25% | 15 Mar → | |
| dust2 | 13–9 | 0.03 | 19% | 27 Feb → | |
| dust2 | 7–13 | -0.02 | 28% | 22 Feb → | |
| mirage | 13–5 | -0.01 | 9% | 21 Feb → | |
| mirage | 13–7 | 0.04 | 23% | 21 Feb → | |
| ancient | 9–13 | -0.02 | 12% | 8 Feb → | |
| inferno | 1–13 | -0.08 | 60% | 3 Feb → | |
| dust2 | 8–13 | -0.03 | 15% | 28 Jan → | |
| inferno | 4–13 | -0.00 | 22% | 28 Jan → | |
| ancient | 13–4 | 0.07 | 13% | 22 Jan → | |
| anubis | 13–3 | 0.14 | 24% | 22 Jan → | |
| inferno | 13–10 | -0.00 | 39% | 20 Jan → | |
| ancient | 9–13 | 0.05 | 21% | 28 Dec → | |
| ancient | 13–8 | 0.03 | 30% | 28 Dec → | |
| ancient | 13–11 | 0.09 | 19% | 23 Dec → | |
| overpass | 5–13 | -0.04 | 17% | 16 Dec → | |
| ancient | 7–13 | 0.01 | 13% | 16 Dec → | |
| inferno | 13–9 | -0.03 | 6% | 3 Dec → | |
| mirage | 16–12 | 0.03 | 20% | 2 Dec → | |
| ancient | 20–22 | 0.02 | 13% | 1 Dec → | |
| ancient | 13–16 | -0.01 | 23% | 30 Nov → | |
| train | 11–13 | -0.01 | 24% | 23 Nov → | |
| mirage | 13–6 | 0.14 | 22% | 17 Nov → | |
| dust2 | 11–13 | -0.02 | 19% | 15 Nov → | |
| train | 13–11 | 0.04 | 29% | 15 Nov → | |
| nuke | 6–13 | -0.01 | 18% | 14 Nov → | |
| overpass | 13–2 | 0.12 | 22% | 14 Nov → | |
| dust2 | 13–7 | 0.04 | 17% | 14 Nov → | |
| dust2 | 8–13 | -0.02 | 29% | 10 Nov → | |
| inferno | 13–8 | -0.02 | 31% | 7 Nov → | |
| dust2 | 13–11 | -0.01 | 26% | 4 Nov → | |
| inferno | 14–16 | 0.02 | 22% | 3 Nov → | |
| mirage | 9–13 | 0.01 | 24% | 3 Nov → | |
| mirage | 13–8 | -0.01 | 22% | 3 Nov → | |
| dust2 | 7–13 | 0.00 | 26% | 27 Oct → | |
| inferno | 13–8 | -0.03 | 16% | 23 Oct → | |
| overpass | 8–13 | -0.01 | 30% | 21 Oct → | |
| train | 14–16 | -0.04 | 14% | 17 Oct → | |
| nuke | 11–13 | 0.02 | 19% | 17 Oct → | |
| overpass | 16–13 | 0.05 | 24% | 14 Oct → |
Match data via Leetify.
