Ethel — CS2 Stats
76561198278459224[U:1:318193496]Steam profile ↗VAC banned
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.05 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Limited 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 NiKo 81% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: lower aim profile; 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
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. 634ms 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 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 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 | B | 29 | 15–14 | 52% | 0.02 |
 nuke | B | 15 | 8–7 | 53% | -0.00 |
 inferno | D | 12 | 4–8 | 33% | -0.04 |
| office | B | 10 | 5–5 | 50% | 0.01 |
 anubis | C | 8 | 3–5 | 38% | 0.03 |
 vertigo | A | 5 | 3–2 | 60% | -0.01 |
 train | — | 4 | 1–3 | 25% | 0.02 |
 cache | — | 4 | 2–2 | 50% | 0.02 |
| warden | — | 4 | 2–2 | 50% | -0.01 |
| italy | — | 3 | 2–1 | 67% | 0.04 |
 ancient | — | 2 | 1–1 | 50% | 0.01 |
 mirage | — | 2 | 1–1 | 50% | 0.01 |
 overpass | — | 1 | 0–1 | 0% | 0.02 |
| grail | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.
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 0.4678 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 27.5986% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 7–9 | -0.05 | 15% | 26 Aug → | |
| nuke | 9–5 | -0.07 | 33% | 26 Aug → | |
| nuke | 9–2 | 0.05 | 15% | 25 Aug → | |
| nuke | 9–13 | -0.04 | 17% | 24 Aug → | |
| office | 10–2 | -0.10 | 14% | 23 Aug → | |
| nuke | 9–6 | -0.01 | 27% | 23 Aug → | |
| nuke | 9–3 | -0.03 | 13% | 23 Aug → | |
| inferno | 9–6 | 0.13 | 19% | 23 Aug → | |
| inferno | 1–9 | -0.26 | 33% | 21 Aug → | |
| ancient | 10–13 | -0.04 | 14% | 20 Aug → | |
| nuke | 10–9 | -0.01 | 19% | 19 Aug → | |
| train | 13–5 | 0.10 | 27% | 18 Aug → | |
| cache | 6–13 | -0.08 | 29% | 17 Aug → | |
| train | 4–13 | -0.02 | 44% | 17 Aug → | |
| train | 8–13 | 0.03 | 25% | 17 Aug → | |
| dust2 | 0–2 | 0.00 | 0% | 12 Aug → | |
| dust2 | 13–6 | 0.13 | 21% | 12 Aug → | |
| dust2 | 13–6 | -0.01 | 22% | 11 Aug → | |
| office | 11–13 | 0.00 | 28% | 10 Aug → | |
| inferno | 3–9 | -0.05 | 21% | 8 Aug → | |
| ancient | 13–9 | 0.06 | 19% | 7 Aug → | |
| anubis | 6–13 | 0.08 | 30% | 7 Aug → | |
| nuke | 6–13 | -0.06 | 16% | 6 Aug → | |
| nuke | 3–13 | 0.03 | 50% | 4 Aug → | |
| nuke | 6–13 | -0.00 | 30% | 4 Aug → | |
| inferno | 8–8 | -0.12 | 23% | 3 Aug → | |
| vertigo | 9–4 | -0.04 | 8% | 3 Aug → | |
| inferno | 6–9 | -0.01 | 15% | 2 Aug → | |
| cache | 12–12 | 0.07 | 20% | 2 Aug → | |
| vertigo | 6–13 | -0.05 | 29% | 2 Aug → | |
| office | 1–9 | -0.10 | 25% | 28 Jul → | |
| anubis | 7–13 | 0.00 | 15% | 28 Jul → | |
| dust2 | 9–13 | -0.03 | 20% | 28 Jul → | |
| dust2 | 13–8 | -0.07 | 32% | 28 Jul → | |
| anubis | 13–3 | 0.06 | 5% | 25 Jul → | |
| anubis | 10–13 | 0.04 | 14% | 25 Jul → | |
| dust2 | 12–12 | -0.02 | 24% | 19 Jul → | |
| dust2 | 13–6 | 0.09 | 14% | 19 Jul → | |
| dust2 | 13–4 | 0.00 | 9% | 19 Jul → | |
| dust2 | 2–8 | -0.03 | 5% | 19 Jul → | |
| dust2 | 13–10 | 0.06 | 18% | 3 Jul → | |
| warden | 13–3 | -0.00 | 17% | 28 Jun → | |
| cache | 13–7 | 0.03 | 14% | 28 Jun → | |
| italy | 13–7 | 0.02 | 15% | 28 Jun → | |
| nuke | 13–3 | 0.06 | 28% | 16 Jun → | |
| dust2 | 13–2 | 0.14 | 21% | 16 Jun → | |
| dust2 | 13–10 | 0.07 | 22% | 15 Jun → | |
| dust2 | 1–13 | -0.05 | 25% | 14 Jun → | |
| office | 13–8 | 0.01 | 60% | 7 Jun → | |
| italy | 13–2 | 0.04 | 20% | 7 Jun → | |
| italy | 7–13 | 0.07 | 28% | 7 Jun → | |
| nuke | 5–13 | -0.02 | 19% | 6 Jun → | |
| vertigo | 13–7 | -0.01 | 18% | 6 Jun → | |
| inferno | 4–9 | -0.08 | 25% | 29 May → | |
| dust2 | 12–12 | 0.04 | 22% | 29 May → | |
| dust2 | 13–7 | 0.00 | 26% | 24 May → | |
| dust2 | 13–2 | 0.09 | 23% | 24 May → | |
| dust2 | 12–12 | 0.02 | 18% | 19 May → | |
| dust2 | 4–9 | -0.04 | 8% | 18 May → | |
| office | 12–12 | 0.04 | 15% | 17 May → | |
| mirage | 3–13 | 0.01 | 11% | 17 May → | |
| office | 13–8 | 0.07 | 19% | 13 May → | |
| mirage | 13–8 | 0.00 | 29% | 10 May → | |
| cache | 13–5 | 0.08 | 20% | 10 May → | |
| nuke | 1–13 | -0.04 | 13% | 10 May → | |
| nuke | 13–5 | -0.00 | 15% | 8 May → | |
| nuke | 13–11 | -0.02 | 20% | 8 May → | |
| dust2 | 0–13 | -0.08 | 0% | 5 May → | |
| dust2 | 4–13 | -0.04 | 21% | 4 May → | |
| dust2 | 13–8 | 0.11 | 17% | 3 May → | |
| dust2 | 13–10 | 0.04 | 18% | 29 Apr → | |
| nuke | 9–2 | 0.09 | 24% | 26 Apr → | |
| inferno | 7–9 | 0.01 | 12% | 26 Apr → | |
| inferno | 9–7 | -0.04 | 16% | 26 Apr → | |
| dust2 | 7–13 | -0.02 | 13% | 20 Apr → | |
| inferno | 5–9 | -0.05 | 9% | 15 Apr → | |
| warden | 10–13 | 0.03 | 13% | 10 Apr → | |
| warden | 13–7 | 0.06 | 21% | 10 Apr → | |
| warden | 0–13 | -0.13 | 40% | 9 Apr → | |
| inferno | 13–10 | -0.00 | 32% | 7 Apr → | |
| anubis | 13–2 | 0.05 | 17% | 7 Apr → | |
| dust2 | 11–13 | -0.02 | 21% | 7 Apr → | |
| anubis | 13–6 | -0.03 | 14% | 2 Apr → | |
| dust2 | 12–12 | 0.06 | 14% | 25 Mar → | |
| vertigo | 13–9 | 0.05 | 16% | 23 Mar → | |
| dust2 | 10–13 | -0.02 | 24% | 23 Mar → | |
| inferno | 9–5 | 0.03 | 19% | 23 Mar → | |
| office | 8–13 | 0.03 | 25% | 22 Mar → | |
| office | 13–3 | 0.14 | 34% | 20 Mar → | |
| office | 9–13 | -0.06 | 14% | 19 Mar → | |
| dust2 | 13–10 | -0.00 | 20% | 28 Oct → | |
| vertigo | 4–13 | 0.02 | 20% | 27 Oct → | |
| dust2 | 13–5 | 0.00 | 36% | 12 Oct → | |
| office | 13–5 | 0.11 | 22% | 1 Oct → | |
| dust2 | 13–8 | 0.00 | 25% | 30 Sept → | |
| overpass | 5–13 | 0.02 | 14% | 30 Sept → | |
| train | 1–8 | -0.06 | 50% | 13 Sept → | |
| grail | 13–3 | 0.01 | 22% | 30 Aug → | |
| anubis | 7–13 | -0.01 | 12% | 24 Aug → | |
| anubis | 6–13 | 0.04 | 7% | 24 Aug → |
Match data via Leetify.