ROSE — CS2 Stats
76561199501326593[U:1:1541060865]
How this compares with the same rank
Median values for Pink band among CSDB-tracked players (n=3,917), 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 | Pink band median | Red band median | vs Red band |
|---|---|---|---|---|
| Headshot rate | 43.5% | 47.2% | 49.9% | 6.4% short |
| Shot accuracy | 0.0% | 12.7% | 13.4% | 13.4% short |
| Kill/death ratio | 1.16 | 1.09 | 1.12 | above |
| Match win rate | 59.5% | 46.6% | 48.4% | above |
This profile matches the typical Red band player on 2 of 4 comparable metrics.
Widest gap: Shot accuracy. That is the metric furthest from the Red band 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: +50pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited 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 donk 91% playstyle similarity
Most alike: positioning profile, aim profile.
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 100 — the mechanical foundation is a clear strength.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 7.9/10 (Strong), 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 |
|---|---|---|---|---|---|
 dust2 | S | 33 | 24–9 | 73% | 0.06 |
 mirage | S | 28 | 23–5 | 82% | 0.03 |
 inferno | S | 16 | 12–4 | 75% | 0.04 |
 anubis | S | 9 | 8–1 | 89% | 0.08 |
 nuke | S | 5 | 5–0 | 100% | 0.09 |
 ancient | — | 4 | 3–1 | 75% | -0.02 |
 cache | — | 3 | 2–1 | 67% | 0.10 |
 overpass | — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (73% over 33). Start with the 6 essential Dust 2 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.
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 0.4689 — below the 0.5 mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–9 | 0.12 | 41% | 27 Aug → | |
| dust2 | 3–0 | 0.05 | 67% | 27 Aug → | |
| ancient | 13–3 | -0.01 | 44% | 27 Aug → | |
| mirage | 13–1 | 0.10 | 80% | 27 Aug → | |
| dust2 | 13–10 | 0.05 | 18% | 26 Aug → | |
| mirage | 13–9 | 0.00 | 27% | 26 Aug → | |
| dust2 | 13–6 | 0.01 | 40% | 15 Aug → | |
| inferno | 13–0 | 0.10 | 28% | 6 Aug → | |
| dust2 | 13–10 | 0.04 | 17% | 6 Aug → | |
| mirage | 13–8 | 0.16 | 18% | 6 Aug → | |
| mirage | 13–0 | -0.01 | 50% | 22 Jul → | |
| nuke | 13–0 | 0.00 | 100% | 22 Jul → | |
| dust2 | 10–13 | 0.14 | 74% | 22 Jul → | |
| dust2 | 6–1 | 0.14 | 35% | 22 Jul → | |
| mirage | 0–4 | -0.01 | 0% | 17 Jul → | |
| mirage | 0–13 | -0.05 | 0% | 17 Jul → | |
| mirage | 0–8 | -0.01 | 0% | 17 Jul → | |
| dust2 | 13–6 | 0.06 | 13% | 16 Jul → | |
| inferno | 0–13 | -0.02 | 0% | 16 Jul → | |
| mirage | 13–1 | 0.12 | 43% | 16 Jul → | |
| cache | 13–9 | 0.06 | 30% | 12 Jul → | |
| nuke | 13–2 | 0.09 | 22% | 12 Jul → | |
| dust2 | 13–11 | -0.05 | 32% | 11 Jul → | |
| dust2 | 13–3 | 0.14 | 52% | 11 Jul → | |
| dust2 | 3–0 | 0.14 | 83% | 11 Jul → | |
| cache | 7–13 | 0.11 | 90% | 10 Jul → | |
| dust2 | 13–2 | 0.15 | 48% | 10 Jul → | |
| dust2 | 13–2 | 0.09 | 21% | 10 Jul → | |
| anubis | 13–4 | 0.22 | 41% | 10 Jul → | |
| cache | 13–1 | 0.12 | 18% | 10 Jul → | |
| anubis | 13–8 | 0.22 | 37% | 10 Jul → | |
| mirage | 6–2 | 0.05 | 25% | 2 Jul → | |
| ancient | 13–3 | 0.03 | 48% | 2 Jul → | |
| mirage | 7–0 | 0.16 | 71% | 2 Jul → | |
| mirage | 13–4 | 0.05 | 24% | 2 Jul → | |
| dust2 | 13–3 | 0.11 | 16% | 2 Jul → | |
| dust2 | 13–8 | 0.28 | 76% | 1 Jul → | |
| dust2 | 13–6 | 0.05 | 17% | 1 Jul → | |
| dust2 | 13–0 | -0.04 | 27% | 30 May → | |
| nuke | 13–1 | 0.13 | 32% | 30 May → | |
| anubis | 3–1 | 0.06 | 67% | 30 May → | |
| mirage | 10–4 | -0.05 | 14% | 30 May → | |
| mirage | 13–0 | 0.04 | 15% | 30 May → | |
| mirage | 13–5 | 0.06 | 11% | 30 May → | |
| nuke | 13–0 | 0.07 | 56% | 30 May → | |
| anubis | 2–0 | 0.01 | 0% | 30 May → | |
| mirage | 5–13 | 0.06 | 87% | 30 May → | |
| dust2 | 5–13 | 0.07 | 39% | 30 May → | |
| overpass | 13–9 | 0.04 | 17% | 8 May → | |
| dust2 | 9–13 | 0.12 | 35% | 25 Apr → | |
| mirage | 13–7 | 0.10 | 23% | 18 Apr → | |
| overpass | 11–13 | -0.06 | 0% | 28 Mar → | |
| inferno | 13–4 | 0.04 | 26% | 28 Mar → | |
| dust2 | 13–5 | 0.02 | 15% | 15 Mar → | |
| inferno | 13–7 | 0.06 | 23% | 15 Mar → | |
| mirage | 8–13 | 0.08 | 43% | 15 Mar → | |
| inferno | 13–11 | -0.01 | 19% | 14 Mar → | |
| dust2 | 6–1 | 0.05 | 17% | 13 Mar → | |
| mirage | 13–1 | 0.04 | 56% | 13 Mar → | |
| nuke | 13–7 | 0.19 | 22% | 13 Mar → | |
| mirage | 13–9 | 0.06 | 29% | 8 Mar → | |
| mirage | 13–11 | -0.04 | 20% | 8 Mar → | |
| dust2 | 13–5 | -0.07 | 22% | 8 Mar → | |
| mirage | 13–5 | 0.03 | 11% | 8 Mar → | |
| inferno | 13–3 | 0.02 | 33% | 8 Mar → | |
| anubis | 13–8 | 0.03 | 21% | 7 Mar → | |
| mirage | 16–14 | -0.02 | 18% | 7 Mar → | |
| mirage | 13–7 | 0.08 | 34% | 7 Mar → | |
| dust2 | 9–13 | 0.01 | 43% | 7 Mar → | |
| anubis | 13–6 | 0.04 | 17% | 6 Mar → | |
| ancient | 11–13 | -0.04 | 23% | 6 Mar → | |
| inferno | 13–7 | 0.01 | 29% | 6 Mar → | |
| dust2 | 13–11 | 0.04 | 16% | 6 Mar → | |
| mirage | 13–8 | -0.01 | 18% | 6 Mar → | |
| dust2 | 13–7 | -0.01 | 18% | 6 Mar → | |
| inferno | 13–5 | 0.19 | 26% | 6 Mar → | |
| inferno | 13–3 | 0.06 | 29% | 1 Mar → | |
| dust2 | 15–15 | 0.07 | 21% | 1 Mar → | |
| inferno | 13–10 | -0.01 | 26% | 28 Feb → | |
| mirage | 13–10 | -0.07 | 26% | 27 Feb → | |
| anubis | 13–5 | -0.01 | 29% | 22 Feb → | |
| ancient | 13–5 | -0.06 | 40% | 22 Feb → | |
| inferno | 13–5 | 0.14 | 36% | 22 Feb → | |
| inferno | 2–6 | -0.03 | 20% | 21 Feb → | |
| dust2 | 5–13 | 0.13 | 19% | 14 Feb → | |
| anubis | 13–8 | 0.09 | 13% | 14 Feb → | |
| dust2 | 10–13 | 0.07 | 19% | 14 Feb → | |
| mirage | 9–1 | -0.01 | 18% | 14 Feb → | |
| dust2 | 7–13 | -0.02 | 15% | 14 Feb → | |
| dust2 | 13–9 | 0.05 | 11% | 14 Feb → | |
| inferno | 4–13 | -0.06 | 14% | 8 Feb → | |
| mirage | 13–9 | -0.00 | 32% | 8 Feb → | |
| dust2 | 13–7 | 0.10 | 44% | 8 Feb → | |
| dust2 | 9–13 | 0.01 | 29% | 7 Feb → | |
| mirage | 13–6 | 0.03 | 14% | 7 Feb → | |
| dust2 | 13–7 | 0.12 | 22% | 7 Feb → | |
| inferno | 11–13 | 0.05 | 10% | 7 Feb → | |
| dust2 | 13–2 | 0.01 | 21% | 7 Feb → | |
| anubis | 1–13 | 0.04 | 22% | 6 Feb → | |
| inferno | 13–7 | 0.01 | 19% | 4 Feb → |
Match data via Leetify.
