ralzey #FREEMETRO — CS2 Stats
76561198975680551[U:1:1015414823]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 median | Level 10 median | vs Level 10 |
|---|---|---|---|---|
| Headshot rate | 57.2% | 49.0% | 52.0% | above |
| Shot accuracy | 4.1% | 13.1% | 13.7% | 9.6% short |
| Kill/death ratio | 0.95 | 1.08 | 1.08 | 0.14 short |
| Match win rate | 44.5% | 46.9% | 48.8% | 4.3% short |
This profile matches the typical Level 10 player on 1 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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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.
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 ZywOo 87% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower aim profile; lower utility contribution.
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
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 599ms 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 (×1.02 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 |
|---|---|---|---|---|---|
 cache | C | 45 | 19–26 | 42% | 0.02 |
 dust2 | B | 12 | 6–6 | 50% | 0.00 |
 inferno | A | 11 | 6–5 | 55% | 0.01 |
 nuke | S | 9 | 7–2 | 78% | 0.03 |
 mirage | S | 7 | 5–2 | 71% | -0.00 |
 ancient | — | 4 | 2–2 | 50% | -0.01 |
| shelter | — | 3 | 1–2 | 33% | 0.02 |
 vertigo | — | 3 | 1–2 | 33% | -0.03 |
 anubis | — | 2 | 0–2 | 0% | -0.01 |
| office | — | 2 | 0–2 | 0% | 0.02 |
 overpass | — | 1 | 0–1 | 0% | 0.02 |
 train | — | 1 | 0–1 | 0% | -0.01 |
Across the last 100 tracked matches.
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 resultsLLWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 112 | 55% | 1.07 | 16.5 |
| Dust2 | 70 | 43% | 0.95 | 15.0 |
| Ancient | 60 | 47% | 1.05 | 15.9 |
| Nuke | 46 | 57% | 1.20 | 19.1 |
| Inferno | 41 | 63% | 1.07 | 16.2 |
| Anubis | 27 | 44% | 0.95 | 16.1 |
| Overpass | 26 | 50% | 1.16 | 17.5 |
| Train | 18 | 67% | 1.40 | 18.6 |
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 0.3761 — 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.
42% win rate across 45 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| dust2 | 6–13 | -0.10 | 20% | 12 Aug → | |
| inferno | 13–4 | 0.05 | 36% | 12 Aug → | |
| nuke | 13–8 | 0.02 | 37% | 28 Jul → | |
| nuke | 13–7 | 0.00 | 38% | 24 Jul → | |
| nuke | 13–3 | 0.03 | 21% | 24 Jul → | |
| cache | 13–5 | 0.01 | 21% | 24 Jul → | |
| shelter | 8–13 | -0.03 | 29% | 19 Jul → | |
| cache | 7–0 | 0.26 | 36% | 19 Jul → | |
| shelter | 13–3 | 0.14 | 27% | 19 Jul → | |
| cache | 12–12 | 0.07 | 29% | 18 Jul → | |
| cache | 4–13 | 0.05 | 37% | 17 Jul → | |
| cache | 13–5 | 0.19 | 29% | 17 Jul → | |
| cache | 13–1 | 0.00 | 34% | 17 Jul → | |
| inferno | 13–10 | -0.03 | 21% | 16 Jul → | |
| nuke | 2–13 | -0.03 | 20% | 16 Jul → | |
| cache | 8–13 | 0.04 | 33% | 14 Jul → | |
| nuke | 11–13 | 0.01 | 29% | 14 Jul → | |
| anubis | 10–13 | 0.00 | 24% | 13 Jul → | |
| cache | 13–11 | 0.00 | 22% | 13 Jul → | |
| dust2 | 13–5 | 0.06 | 23% | 13 Jul → | |
| cache | 7–13 | -0.02 | 22% | 13 Jul → | |
| inferno | 13–8 | 0.04 | 23% | 13 Jul → | |
| inferno | 13–6 | 0.07 | 33% | 13 Jul → | |
| ancient | 13–1 | -0.01 | 35% | 13 Jul → | |
| anubis | 13–16 | -0.02 | 22% | 13 Jul → | |
| mirage | 10–13 | -0.05 | 9% | 13 Jul → | |
| inferno | 13–10 | 0.05 | 26% | 13 Jul → | |
| mirage | 16–13 | -0.02 | 31% | 12 Jul → | |
| ancient | 0–8 | -0.04 | 0% | 12 Jul → | |
| inferno | 0–13 | -0.03 | 0% | 12 Jul → | |
| shelter | 2–13 | -0.06 | 12% | 12 Jul → | |
| office | 12–12 | -0.02 | 19% | 11 Jul → | |
| dust2 | 4–13 | -0.06 | 33% | 11 Jul → | |
| inferno | 6–13 | -0.04 | 31% | 11 Jul → | |
| dust2 | 13–6 | -0.02 | 27% | 11 Jul → | |
| cache | 4–13 | -0.05 | 19% | 11 Jul → | |
| office | 6–13 | 0.05 | 32% | 11 Jul → | |
| cache | 10–13 | -0.02 | 28% | 10 Jul → | |
| mirage | 13–4 | 0.08 | 23% | 10 Jul → | |
| cache | 15–15 | 0.05 | 25% | 10 Jul → | |
| dust2 | 15–15 | 0.07 | 30% | 10 Jul → | |
| dust2 | 16–14 | 0.03 | 25% | 9 Jul → | |
| dust2 | 12–16 | 0.00 | 35% | 9 Jul → | |
| nuke | 13–7 | 0.04 | 19% | 9 Jul → | |
| mirage | 10–13 | 0.01 | 18% | 9 Jul → | |
| ancient | 5–0 | 0.04 | 25% | 9 Jul → | |
| mirage | 13–10 | 0.01 | 31% | 9 Jul → | |
| inferno | 16–14 | 0.01 | 27% | 9 Jul → | |
| mirage | 16–14 | -0.01 | 25% | 1 Jul → | |
| dust2 | 13–10 | 0.05 | 35% | 1 Jul → | |
| mirage | 13–4 | -0.02 | 16% | 1 Jul → | |
| cache | 4–13 | -0.07 | 9% | 22 Jun → | |
| cache | 13–11 | -0.05 | 33% | 16 Jun → | |
| inferno | 9–13 | 0.01 | 32% | 16 Jun → | |
| cache | 4–13 | -0.04 | 29% | 8 Jun → | |
| vertigo | 3–13 | -0.08 | 19% | 3 Jun → | |
| vertigo | 13–9 | 0.03 | 41% | 3 Jun → | |
| vertigo | 3–13 | -0.05 | 21% | 3 Jun → | |
| dust2 | 14–16 | 0.00 | 15% | 2 Jun → | |
| inferno | 12–12 | 0.01 | 28% | 1 Jun → | |
| cache | 9–13 | -0.03 | 20% | 1 Jun → | |
| dust2 | 13–10 | -0.01 | 19% | 31 May → | |
| dust2 | 1–13 | -0.03 | 22% | 30 May → | |
| cache | 7–13 | 0.01 | 27% | 30 May → | |
| cache | 13–8 | 0.01 | 28% | 27 May → | |
| nuke | 13–9 | 0.07 | 26% | 27 May → | |
| inferno | 6–13 | 0.03 | 14% | 27 May → | |
| dust2 | 13–5 | 0.03 | 17% | 27 May → | |
| cache | 12–12 | -0.03 | 29% | 21 May → | |
| cache | 13–7 | -0.03 | 25% | 21 May → | |
| overpass | 15–15 | 0.02 | 17% | 20 May → | |
| ancient | 11–13 | -0.02 | 31% | 20 May → | |
| cache | 12–12 | -0.06 | 19% | 20 May → | |
| cache | 13–4 | 0.08 | 21% | 20 May → | |
| nuke | 13–11 | -0.00 | 24% | 14 May → | |
| train | 12–12 | -0.01 | 27% | 14 May → | |
| cache | 9–13 | -0.01 | 22% | 12 May → | |
| cache | 13–5 | 0.03 | 29% | 12 May → | |
| cache | 10–13 | 0.04 | 31% | 12 May → | |
| cache | 13–4 | 0.00 | 32% | 12 May → | |
| nuke | 13–6 | 0.10 | 38% | 11 May → | |
| cache | 13–8 | 0.13 | 31% | 11 May → | |
| cache | 12–12 | 0.01 | 34% | 11 May → | |
| cache | 3–13 | -0.04 | 22% | 11 May → | |
| cache | 7–13 | 0.06 | 42% | 10 May → | |
| cache | 13–10 | -0.00 | 33% | 10 May → | |
| cache | 12–12 | 0.01 | 26% | 6 May → | |
| cache | 5–13 | 0.01 | 43% | 6 May → | |
| cache | 7–13 | -0.01 | 31% | 6 May → | |
| cache | 8–13 | -0.05 | 24% | 4 May → | |
| cache | 7–13 | -0.04 | 10% | 4 May → | |
| cache | 8–13 | -0.01 | 30% | 4 May → | |
| cache | 13–4 | 0.01 | 17% | 4 May → | |
| cache | 13–9 | -0.01 | 20% | 4 May → | |
| cache | 6–1 | 0.12 | 38% | 4 May → | |
| cache | 11–13 | -0.01 | 19% | 4 May → | |
| cache | 7–13 | -0.02 | 23% | 3 May → | |
| cache | 13–3 | 0.11 | 22% | 3 May → | |
| cache | 13–7 | 0.06 | 21% | 3 May → | |
| cache | 13–8 | -0.03 | 23% | 3 May → |
Match data via Leetify.
