url0 — CS2 Stats
76561197999938828[U:1:39673100]Steam profile ↗
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=4,917), 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 | 50.3% | 51.9% |
| Shot accuracy | 18.1% | 13.7% |
| Kill/death ratio | 1.31 | 1.08 |
| Match win rate | 62.1% | 48.7% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.01 avg rating
Player DNA
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Strong CT-side opener
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 88% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; 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
Strengths
CT openings. 67% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
T-side openings. Opening success drops from 67% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.
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 6.9/10 (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 | 33 | 21–12 | 64% | 0.02 | |
| S | 18 | 14–4 | 78% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.04 | |
| S | 9 | 8–1 | 89% | 0.06 | |
| S | 8 | 7–1 | 88% | 0.04 | |
| S | 8 | 7–1 | 88% | 0.05 | |
| C | 7 | 3–4 | 43% | 0.06 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 1–2 | 33% | 0.02 | |
| — | 1 | 0–1 | 0% | -0.02 |
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 resultsLWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 30 | 60% | 1.27 | 19.0 |
| Ancient | 14 | 64% | 1.22 | 18.6 |
| Anubis | 14 | 57% | 1.18 | 17.4 |
| Dust2 | 12 | 58% | 1.29 | 19.1 |
| Nuke | 9 | 44% | 1.25 | 19.7 |
| Train | 5 | 100% | 1.90 | 21.6 |
| Vertigo | 4 | 75% | 1.26 | 20.8 |
| Inferno | 3 | 100% | 1.30 | 17.0 |
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.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.08 | 15% | 4 Jun → | ||
| 13–6 | -0.01 | 13% | 4 Jun → | ||
| 13–6 | 0.04 | 20% | 4 Jun → | ||
| 13–8 | 0.10 | 22% | 4 Jun → | ||
| 10–13 | -0.04 | 14% | 24 May → | ||
| 9–1 | 0.04 | 29% | 24 May → | ||
| 9–13 | 0.03 | 22% | 24 May → | ||
| 6–13 | 0.06 | 30% | 24 May → | ||
| 9–13 | -0.02 | 16% | 24 May → | ||
| 13–9 | 0.16 | 19% | 24 May → | ||
| 3–13 | -0.02 | 14% | 24 May → | ||
| 13–16 | 0.07 | 17% | 23 May → | ||
| 13–9 | -0.02 | 23% | 23 May → | ||
| 8–13 | 0.09 | 17% | 4 May → | ||
| 13–7 | 0.07 | 18% | 4 May → | ||
| 10–13 | 0.00 | 15% | 3 May → | ||
| 13–4 | 0.10 | 19% | 2 May → | ||
| 13–7 | 0.01 | 15% | 1 May → | ||
| 13–11 | 0.02 | 17% | 21 Apr → | ||
| 9–13 | 0.03 | 27% | 21 Apr → | ||
| 13–7 | 0.12 | 22% | 21 Apr → | ||
| 13–4 | 0.13 | 18% | 21 Apr → | ||
| 12–12 | -0.05 | 7% | 13 Apr → | ||
| 13–1 | 0.07 | 16% | 13 Apr → | ||
| 13–8 | -0.01 | 9% | 13 Apr → | ||
| 13–7 | 0.07 | 19% | 13 Apr → | ||
| 13–9 | 0.03 | 19% | 12 Apr → | ||
| 11–13 | 0.05 | 18% | 12 Apr → | ||
| 8–13 | -0.01 | 17% | 12 Apr → | ||
| 10–6 | 0.04 | 9% | 10 Apr → | ||
| 13–10 | 0.04 | 20% | 10 Apr → | ||
| 13–8 | -0.02 | 22% | 10 Apr → | ||
| 13–4 | 0.10 | 30% | 10 Apr → | ||
| 12–16 | 0.07 | 21% | 10 Apr → | ||
| 13–3 | 0.15 | 19% | 8 Apr → | ||
| 13–6 | -0.01 | 15% | 8 Apr → | ||
| 14–16 | -0.06 | 18% | 8 Apr → | ||
| 13–3 | 0.14 | 16% | 7 Apr → | ||
| 13–1 | 0.04 | 14% | 7 Apr → | ||
| 13–6 | -0.02 | 16% | 6 Apr → | ||
| 13–1 | 0.02 | 11% | 6 Apr → | ||
| 13–2 | 0.02 | 26% | 6 Apr → | ||
| 13–2 | 0.10 | 29% | 6 Apr → | ||
| 13–9 | -0.03 | 17% | 5 Apr → | ||
| 3–13 | -0.08 | 18% | 5 Apr → | ||
| 13–8 | -0.00 | 14% | 5 Apr → | ||
| 13–7 | -0.02 | 31% | 3 Apr → | ||
| 13–4 | 0.00 | 24% | 3 Apr → | ||
| 13–5 | 0.05 | 12% | 3 Apr → | ||
| 16–13 | -0.02 | 12% | 3 Apr → | ||
| 8–13 | 0.03 | 19% | 30 Mar → | ||
| 13–2 | 0.12 | 35% | 30 Mar → | ||
| 13–6 | 0.06 | 13% | 30 Mar → | ||
| 13–10 | -0.01 | 13% | 30 Mar → | ||
| 13–10 | 0.01 | 8% | 29 Mar → | ||
| 5–13 | 0.05 | 14% | 17 Mar → | ||
| 9–13 | 0.07 | 17% | 17 Mar → | ||
| 13–6 | -0.00 | 18% | 16 Mar → | ||
| 13–5 | 0.04 | 14% | 16 Mar → | ||
| 13–4 | 0.04 | 8% | 16 Mar → | ||
| 14–16 | 0.03 | 17% | 15 Mar → | ||
| 13–6 | 0.00 | 11% | 15 Mar → | ||
| 13–6 | 0.02 | 12% | 15 Mar → | ||
| 13–6 | 0.03 | 17% | 15 Mar → | ||
| 10–13 | 0.01 | 20% | 15 Mar → | ||
| 13–5 | 0.03 | 19% | 15 Mar → | ||
| 1–2 | 0.03 | 17% | 17 Feb → | ||
| 13–9 | 0.03 | 15% | 17 Feb → | ||
| 13–5 | 0.03 | 5% | 17 Feb → | ||
| 13–6 | 0.06 | 14% | 10 Feb → | ||
| 7–13 | -0.03 | 14% | 4 Feb → | ||
| 13–3 | 0.16 | 25% | 4 Feb → | ||
| 13–9 | 0.00 | 26% | 4 Feb → | ||
| 13–8 | 0.02 | 13% | 21 Jan → | ||
| 13–0 | 0.07 | 0% | 17 Jan → | ||
| 13–9 | 0.06 | 20% | 17 Jan → | ||
| 13–11 | 0.05 | 25% | 17 Jan → | ||
| 13–8 | 0.00 | 19% | 17 Jan → | ||
| 11–13 | 0.04 | 16% | 17 Jan → | ||
| 13–5 | 0.08 | 29% | 14 Jan → | ||
| 12–12 | 0.04 | 20% | 14 Jan → | ||
| 13–8 | -0.05 | 15% | 14 Jan → | ||
| 9–13 | 0.03 | 19% | 12 Jan → | ||
| 11–13 | 0.05 | 29% | 12 Jan → | ||
| 13–8 | 0.04 | 16% | 11 Jan → | ||
| 13–11 | -0.02 | 28% | 11 Jan → | ||
| 12–12 | -0.01 | 17% | 9 Jan → | ||
| 13–2 | 0.02 | 14% | 9 Jan → | ||
| 13–5 | -0.07 | 18% | 9 Jan → | ||
| 13–6 | 0.04 | 20% | 9 Jan → | ||
| 11–13 | 0.01 | 22% | 7 Jan → | ||
| 13–1 | 0.15 | 15% | 7 Jan → | ||
| 16–14 | 0.02 | 26% | 7 Jan → | ||
| 10–13 | 0.03 | 25% | 6 Jan → | ||
| 13–9 | 0.11 | 25% | 27 Dec → | ||
| 8–13 | 0.03 | 18% | 27 Dec → | ||
| 13–11 | 0.01 | 17% | 27 Dec → | ||
| 13–10 | 0.06 | 32% | 27 Dec → | ||
| 13–6 | 0.03 | 12% | 27 Dec → | ||
| 0–2 | 0.00 | 0% | 27 Dec → |
Match data via Leetify.
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