✪ Rosell — CS2 Stats
76561198257927309[U:1:297661581]
How this compares with the same rank
Median values for Level 8 among CSDB-tracked players (n=1,146), 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 | 41.7% | 47.2% | 49.0% | 7.2% short |
| Shot accuracy | 15.8% | 12.3% | 13.1% | above |
| Kill/death ratio | 1.15 | 1.07 | 1.08 | above |
| Match win rate | 42.0% | 46.3% | 46.9% | 5.0% short |
This profile matches the typical Level 9 player on 2 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 · +0.02 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 ropz 92% playstyle similarity
Most alike: opening-duel success, positioning profile.
Where you differ: 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
Areas to improve
Reaction time. 587ms 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 5.9/10 (Solid), 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 |
|---|---|---|---|---|---|
| C | 30 | 12–18 | 40% | 0.02 | |
| C | 27 | 11–16 | 41% | 0.02 | |
| D | 13 | 4–9 | 31% | 0.01 | |
| A | 12 | 7–5 | 58% | 0.01 | |
| A | 11 | 6–5 | 55% | 0.02 | |
| — | 3 | 3–0 | 100% | -0.01 | |
| — | 2 | 0–2 | 0% | 0.07 | |
| — | 2 | 1–1 | 50% | 0.03 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (31% over 13). 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 resultsWWLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 95 | 58% | 1.27 | 16.8 |
| Dust2 | 28 | 54% | 1.34 | 18.4 |
| Inferno | 26 | 46% | 1.20 | 15.1 |
| Anubis | 18 | 56% | 1.51 | 17.7 |
| Ancient | 14 | 57% | 1.20 | 18.9 |
| Train | 13 | 46% | 1.14 | 18.0 |
| Vertigo | 9 | 44% | 0.91 | 10.8 |
| Overpass | 9 | 22% | 1.08 | 16.3 |
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.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 10–13 | -0.00 | 16% | 24 Jul → | ||
| 13–8 | 0.01 | 21% | 24 Jul → | ||
| 8–13 | -0.03 | 24% | 24 Jul → | ||
| 13–7 | 0.02 | 22% | 24 Jul → | ||
| 1–13 | -0.02 | 26% | 15 Jul → | ||
| 11–13 | 0.01 | 22% | 15 Jul → | ||
| 13–6 | 0.02 | 12% | 15 Jul → | ||
| 13–2 | 0.05 | 18% | 15 Jul → | ||
| 10–13 | 0.04 | 21% | 4 Jul → | ||
| 13–9 | 0.05 | 24% | 21 Jun → | ||
| 11–13 | -0.01 | 15% | 20 Jun → | ||
| 11–13 | -0.03 | 26% | 7 Jun → | ||
| 13–8 | -0.04 | 13% | 8 May → | ||
| 9–13 | -0.07 | 29% | 30 Apr → | ||
| 13–5 | -0.01 | 22% | 12 Apr → | ||
| 11–13 | 0.03 | 33% | 6 Apr → | ||
| 13–6 | 0.08 | 24% | 6 Apr → | ||
| 16–14 | 0.02 | 15% | 29 Mar → | ||
| 9–13 | 0.05 | 37% | 22 Mar → | ||
| 7–13 | -0.04 | 19% | 14 Mar → | ||
| 13–11 | 0.14 | 21% | 14 Mar → | ||
| 13–3 | 0.12 | 28% | 14 Mar → | ||
| 10–13 | 0.05 | 36% | 27 Feb → | ||
| 8–13 | -0.07 | 16% | 27 Feb → | ||
| 13–10 | 0.12 | 25% | 25 Feb → | ||
| 13–10 | 0.03 | 13% | 8 Feb → | ||
| 13–0 | 0.10 | 39% | 8 Feb → | ||
| 10–13 | 0.12 | 15% | 7 Feb → | ||
| 15–15 | 0.05 | 24% | 6 Feb → | ||
| 8–13 | 0.02 | 29% | 6 Feb → | ||
| 9–13 | -0.04 | 21% | 6 Feb → | ||
| 13–8 | 0.01 | 21% | 6 Feb → | ||
| 13–11 | -0.00 | 20% | 6 Feb → | ||
| 6–13 | -0.05 | 24% | 6 Feb → | ||
| 13–5 | 0.13 | 32% | 4 Feb → | ||
| 10–13 | 0.04 | 13% | 4 Feb → | ||
| 11–13 | -0.01 | 23% | 3 Feb → | ||
| 13–0 | 0.02 | 27% | 3 Feb → | ||
| 13–2 | 0.14 | 16% | 3 Feb → | ||
| 7–9 | 0.04 | 8% | 2 Feb → | ||
| 10–13 | -0.03 | 19% | 2 Feb → | ||
| 7–13 | -0.02 | 31% | 2 Feb → | ||
| 11–13 | 0.05 | 22% | 1 Feb → | ||
| 13–10 | 0.05 | 11% | 1 Feb → | ||
| 8–13 | 0.02 | 10% | 1 Feb → | ||
| 13–5 | 0.07 | 23% | 31 Jan → | ||
| 13–9 | 0.04 | 23% | 29 Jan → | ||
| 8–13 | 0.00 | 20% | 24 Jan → | ||
| 10–13 | -0.03 | 22% | 23 Jan → | ||
| 10–13 | 0.01 | 12% | 23 Jan → | ||
| 16–13 | 0.06 | 24% | 22 Jan → | ||
| 13–6 | 0.05 | 18% | 20 Jan → | ||
| 14–16 | -0.01 | 23% | 19 Jan → | ||
| 13–1 | 0.07 | 33% | 18 Jan → | ||
| 13–9 | 0.03 | 11% | 18 Jan → | ||
| 13–3 | 0.04 | 18% | 18 Jan → | ||
| 5–13 | -0.02 | 33% | 17 Jan → | ||
| 12–16 | -0.00 | 18% | 11 Jan → | ||
| 13–3 | 0.02 | 26% | 11 Jan → | ||
| 13–11 | 0.01 | 16% | 10 Jan → | ||
| 5–12 | 0.01 | 31% | 10 Jan → | ||
| 6–13 | -0.07 | 19% | 10 Jan → | ||
| 11–13 | 0.04 | 12% | 7 Jan → | ||
| 10–13 | 0.02 | 12% | 4 Jan → | ||
| 13–11 | 0.04 | 12% | 3 Jan → | ||
| 5–13 | -0.10 | 17% | 3 Jan → | ||
| 12–16 | 0.01 | 15% | 3 Jan → | ||
| 13–16 | -0.01 | 26% | 2 Jan → | ||
| 0–6 | -0.01 | 33% | 2 Jan → | ||
| 13–6 | 0.01 | 15% | 2 Jan → | ||
| 14–16 | 0.04 | 21% | 30 Dec → | ||
| 13–10 | -0.03 | 17% | 29 Dec → | ||
| 13–3 | 0.02 | 19% | 28 Dec → | ||
| 13–10 | -0.02 | 16% | 28 Dec → | ||
| 2–13 | -0.05 | 23% | 28 Dec → | ||
| 8–13 | 0.03 | 14% | 28 Dec → | ||
| 7–13 | 0.02 | 13% | 26 Dec → | ||
| 5–13 | 0.04 | 17% | 21 Dec → | ||
| 13–6 | 0.02 | 17% | 21 Dec → | ||
| 10–13 | 0.01 | 17% | 17 Dec → | ||
| 13–11 | 0.03 | 22% | 17 Dec → | ||
| 13–3 | -0.02 | 13% | 17 Dec → | ||
| 13–9 | 0.11 | 20% | 16 Dec → | ||
| 13–8 | -0.01 | 18% | 16 Dec → | ||
| 9–13 | 0.05 | 18% | 16 Dec → | ||
| 8–13 | 0.02 | 12% | 16 Dec → | ||
| 13–4 | -0.01 | 24% | 15 Dec → | ||
| 5–13 | 0.03 | 22% | 13 Dec → | ||
| 6–13 | -0.04 | 15% | 7 Dec → | ||
| 4–13 | -0.05 | 32% | 4 Dec → | ||
| 5–13 | -0.03 | 12% | 3 Dec → | ||
| 9–13 | 0.04 | 11% | 3 Dec → | ||
| 15–15 | 0.03 | 21% | 29 Nov → | ||
| 13–8 | 0.08 | 21% | 28 Nov → | ||
| 12–16 | -0.01 | 14% | 27 Nov → | ||
| 13–7 | 0.01 | 20% | 25 Nov → | ||
| 13–4 | 0.02 | 19% | 23 Nov → | ||
| 8–13 | -0.03 | 13% | 22 Nov → | ||
| 13–7 | 0.04 | 16% | 22 Nov → | ||
| 6–13 | 0.00 | 18% | 22 Nov → |
Match data via Leetify.