gone — CS2 Stats
76561198304214264[U:1:343948536]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 median | Level 9 median | vs Level 9 |
|---|---|---|---|---|
| Headshot rate | 45.5% | 47.0% | 48.5% | 3.0% short |
| Shot accuracy | 16.0% | 12.7% | 13.3% | above |
| Kill/death ratio | 1.60 | 1.07 | 1.07 | above |
| Match win rate | 63.4% | 46.4% | 47.0% | above |
This profile matches the typical Level 9 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 9 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: -10pp win rate · -0.04 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
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 s1mple 97% playstyle similarity
Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.
CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
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 8.3/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 24 | 13–11 | 54% | 0.05 | |
| A | 21 | 13–8 | 62% | 0.06 | |
| A | 20 | 11–9 | 55% | 0.07 | |
| A | 11 | 7–4 | 64% | 0.07 | |
| S | 10 | 7–3 | 70% | 0.07 | |
| S | 9 | 8–1 | 89% | 0.07 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 1 | 0–1 | 0% | 0.06 |
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 resultsWWLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 7 | 86% | 1.59 | 18.4 |
| Nuke | 4 | 75% | 1.88 | 23.0 |
| Dust2 | 2 | 100% | 1.52 | 16.0 |
| Ancient | 2 | 100% | 1.52 | 24.5 |
| Inferno | 2 | 100% | 2.34 | 25.0 |
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.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.14 | 17% | 16 Aug → | ||
| 9–13 | -0.03 | 18% | 16 Aug → | ||
| 13–10 | 0.03 | 26% | 16 Aug → | ||
| 11–13 | 0.07 | 17% | 15 Aug → | ||
| 13–5 | 0.10 | 17% | 14 Aug → | ||
| 12–16 | 0.04 | 18% | 13 Aug → | ||
| 13–11 | -0.02 | 14% | 13 Aug → | ||
| 16–12 | -0.01 | 15% | 13 Aug → | ||
| 9–13 | 0.01 | 12% | 13 Aug → | ||
| 13–8 | 0.09 | 24% | 13 Aug → | ||
| 13–6 | 0.06 | 30% | 12 Aug → | ||
| 13–2 | 0.08 | 20% | 27 Jul → | ||
| 13–7 | 0.12 | 17% | 27 Jul → | ||
| 13–9 | 0.07 | 21% | 26 Jul → | ||
| 13–8 | 0.11 | 24% | 26 Jul → | ||
| 8–13 | 0.03 | 13% | 25 Jul → | ||
| 8–13 | 0.01 | 18% | 25 Jul → | ||
| 15–15 | 0.03 | 21% | 25 Jul → | ||
| 13–2 | 0.08 | 21% | 24 Jul → | ||
| 13–7 | 0.18 | 21% | 24 Jul → | ||
| 13–6 | 0.07 | 19% | 23 Jul → | ||
| 13–9 | 0.01 | 25% | 23 Jul → | ||
| 13–11 | 0.12 | 29% | 22 Jul → | ||
| 13–11 | 0.04 | 23% | 2 Jul → | ||
| 13–5 | 0.07 | 26% | 28 Jun → | ||
| 13–6 | 0.04 | 47% | 27 Jun → | ||
| 12–12 | 0.00 | 16% | 27 Jun → | ||
| 13–7 | 0.11 | 19% | 26 Jun → | ||
| 13–7 | -0.00 | 22% | 26 Jun → | ||
| 13–2 | 0.14 | 32% | 25 Jun → | ||
| 12–12 | 0.00 | 20% | 25 Jun → | ||
| 13–5 | 0.01 | 17% | 22 Jun → | ||
| 13–8 | 0.12 | 18% | 21 Jun → | ||
| 12–12 | 0.01 | 18% | 21 Jun → | ||
| 9–13 | 0.07 | 20% | 19 Jun → | ||
| 9–13 | 0.01 | 14% | 19 Jun → | ||
| 13–6 | 0.05 | 29% | 17 Jun → | ||
| 12–12 | 0.05 | 17% | 7 Jun → | ||
| 11–13 | 0.02 | 25% | 7 Jun → | ||
| 13–11 | -0.03 | 24% | 5 Jun → | ||
| 10–13 | 0.06 | 31% | 4 Jun → | ||
| 13–9 | 0.10 | 23% | 21 May → | ||
| 13–10 | 0.04 | 19% | 21 May → | ||
| 8–13 | 0.03 | 18% | 21 May → | ||
| 13–6 | 0.13 | 21% | 21 May → | ||
| 13–9 | 0.03 | 19% | 21 May → | ||
| 13–4 | -0.05 | 19% | 21 May → | ||
| 13–8 | 0.02 | 18% | 20 May → | ||
| 13–3 | 0.12 | 23% | 20 May → | ||
| 10–13 | -0.00 | 15% | 20 May → | ||
| 7–13 | -0.01 | 11% | 20 May → | ||
| 11–13 | -0.00 | 20% | 20 May → | ||
| 13–10 | 0.02 | 11% | 20 May → | ||
| 6–13 | 0.03 | 20% | 20 May → | ||
| 13–6 | 0.06 | 20% | 20 May → | ||
| 8–13 | 0.02 | 23% | 20 May → | ||
| 13–8 | 0.05 | 18% | 17 May → | ||
| 10–13 | 0.05 | 25% | 17 May → | ||
| 8–13 | 0.06 | 28% | 17 May → | ||
| 13–7 | 0.17 | 28% | 16 May → | ||
| 13–11 | 0.09 | 22% | 16 May → | ||
| 8–13 | 0.02 | 18% | 16 May → | ||
| 16–14 | 0.07 | 17% | 15 May → | ||
| 13–11 | 0.12 | 18% | 13 May → | ||
| 11–13 | 0.04 | 28% | 12 May → | ||
| 6–13 | 0.10 | 23% | 9 May → | ||
| 13–6 | 0.07 | 14% | 8 May → | ||
| 13–9 | 0.11 | 22% | 3 May → | ||
| 8–13 | 0.12 | 15% | 30 Apr → | ||
| 2–13 | 0.09 | 40% | 30 Apr → | ||
| 13–6 | 0.11 | 24% | 29 Apr → | ||
| 13–0 | 0.22 | 12% | 29 Apr → | ||
| 8–13 | 0.06 | 16% | 29 Apr → | ||
| 13–7 | 0.04 | 14% | 28 Apr → | ||
| 13–10 | 0.10 | 23% | 27 Apr → | ||
| 12–12 | 0.08 | 18% | 26 Apr → | ||
| 13–3 | 0.15 | 27% | 26 Apr → | ||
| 15–15 | 0.08 | 18% | 25 Apr → | ||
| 13–8 | 0.05 | 29% | 25 Apr → | ||
| 13–5 | 0.19 | 19% | 25 Apr → | ||
| 13–5 | 0.11 | 15% | 24 Apr → | ||
| 4–13 | 0.01 | 15% | 24 Apr → | ||
| 15–15 | 0.06 | 20% | 23 Apr → | ||
| 13–5 | 0.01 | 20% | 22 Apr → | ||
| 7–13 | 0.06 | 21% | 22 Apr → | ||
| 13–4 | 0.10 | 19% | 22 Apr → | ||
| 9–13 | 0.04 | 13% | 22 Apr → | ||
| 11–13 | 0.07 | 16% | 22 Apr → | ||
| 8–13 | -0.03 | 10% | 21 Apr → | ||
| 13–9 | 0.11 | 21% | 21 Apr → | ||
| 13–5 | 0.03 | 21% | 21 Apr → | ||
| 9–4 | 0.18 | 30% | 21 Apr → | ||
| 13–11 | -0.03 | 20% | 12 Jan → | ||
| 13–10 | 0.06 | 19% | 11 Jan → | ||
| 13–9 | 0.07 | 25% | 10 Jan → | ||
| 13–6 | 0.06 | 18% | 7 Jan → | ||
| 12–16 | 0.10 | 17% | 7 Jan → | ||
| 13–5 | 0.02 | 19% | 7 Jan → | ||
| 13–6 | 0.04 | 19% | 6 Jan → | ||
| 13–7 | 0.03 | 18% | 6 Jan → |
Match data via Leetify.