foX_z — CS2 Stats
76561198213985752[U:1:253720024]Steam profile ↗
How this compares with the same rank
Median values for Level 9 among CSDB-tracked players (n=1,892), 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 | 55.0% | 48.5% | 51.9% | above |
| Shot accuracy | 2.1% | 13.3% | 13.7% | 11.7% short |
| Kill/death ratio | 1.37 | 1.07 | 1.08 | above |
| Match win rate | 53.7% | 47.0% | 48.7% | above |
This profile matches the typical Level 10 player on 3 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.
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: -50pp win rate · -0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimerLimited utility dependence
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 m0NESY 86% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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. 565ms 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 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×0.95 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 | 24 | 13–11 | 54% | 0.04 | |
| S | 15 | 11–4 | 73% | 0.05 | |
| B | 15 | 8–7 | 53% | 0.05 | |
| A | 12 | 7–5 | 58% | 0.07 | |
| A | 10 | 6–4 | 60% | 0.02 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| S | 6 | 4–2 | 67% | 0.00 | |
| S | 6 | 5–1 | 83% | 0.07 | |
| — | 3 | 2–1 | 67% | 0.05 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (53% over 15). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 29 | 59% | 1.19 | 18.5 |
| Inferno | 26 | 58% | 1.30 | 20.0 |
| Ancient | 19 | 58% | 1.06 | 15.5 |
| Anubis | 19 | 68% | 1.60 | 18.9 |
| Dust2 | 13 | 77% | 1.69 | 21.3 |
| Vertigo | 12 | 58% | 1.48 | 20.2 |
| Nuke | 8 | 50% | 1.80 | 22.3 |
| Overpass | 3 | 67% | 1.64 | 26.7 |
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 0.1855 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.05 | 25% | 27 Aug → | ||
| 7–13 | 0.06 | 28% | 26 Aug → | ||
| 10–13 | 0.11 | 15% | 26 Aug → | ||
| 9–13 | 0.02 | 29% | 20 Aug → | ||
| 10–13 | 0.05 | 22% | 20 Aug → | ||
| 13–6 | 0.07 | 47% | 19 Aug → | ||
| 7–13 | -0.04 | 19% | 19 Aug → | ||
| 13–9 | 0.06 | 36% | 19 Aug → | ||
| 13–4 | -0.05 | 32% | 17 Aug → | ||
| 6–13 | 0.03 | 32% | 17 Aug → | ||
| 13–8 | 0.08 | 31% | 14 Aug → | ||
| 2–13 | -0.05 | 30% | 10 Aug → | ||
| 13–3 | 0.03 | 27% | 10 Aug → | ||
| 13–4 | 0.09 | 24% | 10 Aug → | ||
| 13–10 | 0.02 | 21% | 10 Aug → | ||
| 13–1 | 0.18 | 60% | 9 Aug → | ||
| 13–9 | 0.04 | 37% | 9 Aug → | ||
| 13–6 | 0.02 | 26% | 9 Aug → | ||
| 13–8 | 0.05 | 27% | 6 Aug → | ||
| 13–4 | 0.00 | 20% | 6 Aug → | ||
| 13–4 | 0.03 | 35% | 4 Aug → | ||
| 13–2 | 0.08 | 39% | 3 Aug → | ||
| 8–13 | 0.03 | 16% | 3 Aug → | ||
| 10–13 | -0.04 | 28% | 3 Aug → | ||
| 5–0 | 0.04 | 18% | 1 Aug → | ||
| 13–9 | 0.09 | 22% | 1 Aug → | ||
| 13–1 | 0.09 | 22% | 1 Aug → | ||
| 13–1 | 0.09 | 35% | 1 Aug → | ||
| 13–11 | 0.04 | 30% | 1 Aug → | ||
| 13–6 | 0.09 | 33% | 1 Aug → | ||
| 7–13 | 0.06 | 30% | 1 Aug → | ||
| 13–8 | 0.01 | 29% | 30 Jul → | ||
| 8–1 | 0.03 | 44% | 30 Jul → | ||
| 7–13 | -0.07 | 24% | 28 Jul → | ||
| 13–9 | -0.04 | 43% | 26 Jul → | ||
| 13–8 | 0.14 | 43% | 23 Jul → | ||
| 4–13 | -0.05 | 22% | 23 Jul → | ||
| 13–6 | 0.10 | 27% | 21 Jul → | ||
| 5–13 | -0.04 | 23% | 21 Jul → | ||
| 4–0 | 0.26 | 15% | 16 Jul → | ||
| 13–3 | 0.09 | 8% | 11 Jul → | ||
| 12–12 | 0.06 | 38% | 11 Jul → | ||
| 13–1 | 0.11 | 32% | 9 Jul → | ||
| 13–2 | 0.14 | 50% | 9 Jul → | ||
| 13–2 | 0.05 | 24% | 9 Jul → | ||
| 7–13 | 0.05 | 16% | 9 Jul → | ||
| 13–4 | 0.07 | 26% | 8 Jul → | ||
| 2–13 | -0.05 | 23% | 8 Jul → | ||
| 7–13 | -0.03 | 24% | 3 Jul → | ||
| 13–10 | 0.04 | 24% | 3 Jul → | ||
| 13–8 | 0.01 | 32% | 3 Jul → | ||
| 7–13 | 0.00 | 19% | 3 Jul → | ||
| 11–13 | 0.04 | 22% | 1 Jul → | ||
| 8–13 | 0.06 | 22% | 1 Jul → | ||
| 13–10 | 0.12 | 35% | 30 Jun → | ||
| 13–5 | 0.05 | 19% | 30 Jun → | ||
| 2–13 | -0.01 | 34% | 25 Jun → | ||
| 13–8 | 0.02 | 30% | 25 Jun → | ||
| 13–11 | 0.14 | 26% | 25 Jun → | ||
| 13–10 | 0.04 | 20% | 25 Jun → | ||
| 13–4 | 0.11 | 33% | 25 Jun → | ||
| 13–6 | 0.14 | 37% | 23 Jun → | ||
| 6–13 | 0.05 | 27% | 22 Jun → | ||
| 9–13 | 0.07 | 19% | 22 Jun → | ||
| 11–13 | -0.05 | 24% | 20 Jun → | ||
| 13–5 | 0.11 | 20% | 20 Jun → | ||
| 13–2 | 0.13 | 36% | 20 Jun → | ||
| 13–5 | 0.02 | 15% | 20 Jun → | ||
| 13–6 | 0.04 | 22% | 13 Jun → | ||
| 13–1 | 0.06 | 16% | 13 Jun → | ||
| 13–8 | 0.09 | 33% | 12 Jun → | ||
| 13–0 | 0.04 | 23% | 12 Jun → | ||
| 13–4 | 0.06 | 43% | 10 Jun → | ||
| 12–12 | -0.02 | 27% | 10 Jun → | ||
| 13–4 | 0.11 | 25% | 7 Jun → | ||
| 13–11 | 0.03 | 18% | 7 Jun → | ||
| 13–0 | 0.01 | 25% | 7 Jun → | ||
| 13–3 | 0.07 | 28% | 6 Jun → | ||
| 12–12 | -0.03 | 18% | 6 Jun → | ||
| 10–13 | -0.00 | 29% | 5 Jun → | ||
| 13–11 | 0.05 | 25% | 3 Jun → | ||
| 12–12 | 0.05 | 30% | 3 Jun → | ||
| 13–4 | 0.05 | 15% | 2 Jun → | ||
| 4–13 | -0.01 | 18% | 2 Jun → | ||
| 10–13 | 0.03 | 36% | 2 Jun → | ||
| 13–10 | 0.09 | 31% | 31 May → | ||
| 13–5 | 0.04 | 25% | 31 May → | ||
| 3–13 | 0.02 | 24% | 31 May → | ||
| 13–3 | 0.04 | 17% | 30 May → | ||
| 13–6 | 0.07 | 26% | 30 May → | ||
| 5–4 | -0.03 | 24% | 30 May → | ||
| 13–7 | 0.08 | 37% | 29 May → | ||
| 13–7 | 0.18 | 24% | 23 May → | ||
| 4–13 | 0.01 | 10% | 23 May → | ||
| 11–13 | 0.00 | 19% | 23 May → | ||
| 10–2 | 0.03 | 29% | 23 May → | ||
| 3–6 | -0.11 | 6% | 22 May → | ||
| 6–13 | 0.05 | 38% | 22 May → | ||
| 5–13 | -0.04 | 21% | 7 May → | ||
| 13–5 | 0.11 | 24% | 6 May → |
Match data via Leetify.