Only scout — CS2 Stats
AR76561198126498182[U:1:166232454]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · +0.04 avg rating
Player DNA
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 sh1ro 83% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
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
Areas to improve
T-side openings. Opening success drops from 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.
Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
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 5.2/10 (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 |
|---|---|---|---|---|---|
| S | 40 | 27–13 | 68% | -0.00 | |
| S | 20 | 16–4 | 80% | -0.02 | |
| B | 16 | 8–8 | 50% | -0.03 | |
| S | 14 | 12–2 | 86% | -0.01 | |
| B | 6 | 3–3 | 50% | -0.00 | |
| — | 2 | 1–1 | 50% | -0.03 | |
| — | 2 | 1–1 | 50% | -0.01 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Dust2 | 230 | 68% | 1.07 | 14.2 |
| Anubis | 139 | 43% | 0.85 | 12.6 |
| Mirage | 118 | 46% | 0.83 | 12.3 |
| Ancient | 52 | 35% | 0.75 | 12.4 |
| Inferno | 38 | 58% | 0.83 | 12.3 |
| Nuke | 23 | 61% | 0.76 | 11.6 |
| Train | 12 | 17% | 0.88 | 13.7 |
| Vertigo | 7 | 43% | 0.78 | 12.4 |
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
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 0.4425 — 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 35.0894% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–9 | -0.02 | 19% | 13 Aug → | ||
| 13–0 | 0.09 | 0% | 6 Aug → | ||
| 13–8 | 0.04 | 32% | 6 Aug → | ||
| 22–18 | 0.01 | 21% | 22 Jul → | ||
| 3–2 | -0.02 | 13% | 18 Jul → | ||
| 7–13 | -0.04 | 14% | 9 Jul → | ||
| 8–1 | 0.02 | 21% | 9 Jul → | ||
| 13–3 | -0.04 | 0% | 12 May → | ||
| 13–4 | 0.01 | 15% | 12 May → | ||
| 13–5 | -0.02 | 15% | 30 Apr → | ||
| 12–16 | 0.03 | 29% | 27 Apr → | ||
| 13–4 | -0.06 | 10% | 25 Apr → | ||
| 3–0 | -0.07 | 0% | 25 Apr → | ||
| 13–0 | -0.01 | 12% | 25 Apr → | ||
| 13–7 | -0.00 | 30% | 25 Apr → | ||
| 13–1 | -0.07 | 11% | 25 Apr → | ||
| 13–6 | -0.05 | 10% | 22 Apr → | ||
| 13–11 | -0.05 | 5% | 22 Apr → | ||
| 13–9 | -0.06 | 16% | 22 Apr → | ||
| 8–13 | 0.02 | 16% | 22 Apr → | ||
| 13–10 | -0.08 | 9% | 18 Apr → | ||
| 13–6 | -0.02 | 23% | 18 Apr → | ||
| 13–3 | -0.01 | 9% | 16 Apr → | ||
| 19–16 | -0.04 | 16% | 15 Apr → | ||
| 13–2 | 0.00 | 19% | 15 Apr → | ||
| 4–13 | -0.09 | 28% | 12 Apr → | ||
| 13–8 | -0.03 | 28% | 12 Apr → | ||
| 13–11 | 0.03 | 22% | 12 Apr → | ||
| 1–5 | -0.08 | 10% | 10 Apr → | ||
| 13–8 | -0.00 | 7% | 10 Apr → | ||
| 13–9 | 0.10 | 20% | 8 Apr → | ||
| 13–8 | -0.01 | 22% | 8 Apr → | ||
| 13–6 | 0.03 | 13% | 8 Apr → | ||
| 13–1 | 0.07 | 23% | 8 Apr → | ||
| 13–3 | 0.02 | 18% | 6 Apr → | ||
| 13–10 | -0.01 | 19% | 6 Apr → | ||
| 11–13 | -0.03 | 25% | 6 Apr → | ||
| 10–0 | 0.04 | 17% | 6 Apr → | ||
| 13–3 | 0.05 | 19% | 4 Apr → | ||
| 13–2 | 0.02 | 14% | 3 Apr → | ||
| 13–4 | -0.03 | 19% | 3 Apr → | ||
| 5–0 | -0.02 | 0% | 3 Apr → | ||
| 13–3 | -0.00 | 33% | 3 Apr → | ||
| 15–15 | -0.02 | 17% | 3 Apr → | ||
| 13–11 | -0.03 | 18% | 3 Apr → | ||
| 13–11 | -0.06 | 19% | 2 Apr → | ||
| 13–10 | -0.02 | 20% | 1 Apr → | ||
| 9–13 | -0.05 | 26% | 1 Apr → | ||
| 13–10 | 0.03 | 27% | 1 Apr → | ||
| 3–13 | -0.11 | 24% | 31 Mar → | ||
| 13–6 | 0.03 | 24% | 30 Mar → | ||
| 13–4 | 0.05 | 10% | 30 Mar → | ||
| 8–13 | -0.07 | 25% | 30 Mar → | ||
| 10–13 | -0.07 | 21% | 21 Mar → | ||
| 4–13 | 0.05 | 38% | 21 Mar → | ||
| 13–5 | -0.03 | 4% | 21 Mar → | ||
| 13–6 | -0.03 | 22% | 20 Mar → | ||
| 10–13 | -0.11 | 28% | 19 Mar → | ||
| 13–7 | -0.02 | 20% | 19 Mar → | ||
| 10–13 | -0.07 | 7% | 18 Mar → | ||
| 9–13 | -0.05 | 33% | 18 Mar → | ||
| 14–16 | -0.04 | 21% | 17 Mar → | ||
| 9–13 | 0.02 | 20% | 17 Mar → | ||
| 13–8 | -0.02 | 50% | 17 Mar → | ||
| 13–7 | 0.01 | 20% | 13 Mar → | ||
| 13–8 | 0.02 | 17% | 13 Mar → | ||
| 13–11 | 0.04 | 24% | 13 Mar → | ||
| 13–7 | -0.08 | 14% | 27 Feb → | ||
| 7–13 | 0.00 | 27% | 20 Feb → | ||
| 13–9 | 0.01 | 16% | 19 Feb → | ||
| 15–15 | -0.06 | 14% | 19 Feb → | ||
| 15–15 | 0.05 | 19% | 17 Feb → | ||
| 5–13 | -0.08 | 22% | 16 Feb → | ||
| 7–13 | -0.01 | 34% | 16 Feb → | ||
| 7–4 | -0.06 | 29% | 16 Feb → | ||
| 13–8 | 0.06 | 18% | 15 Feb → | ||
| 4–13 | 0.01 | 20% | 15 Feb → | ||
| 13–7 | 0.01 | 18% | 13 Feb → | ||
| 12–16 | -0.02 | 30% | 13 Feb → | ||
| 13–10 | 0.02 | 20% | 13 Feb → | ||
| 2–13 | -0.05 | 7% | 12 Feb → | ||
| 13–5 | -0.01 | 19% | 12 Feb → | ||
| 6–13 | -0.16 | 14% | 12 Feb → | ||
| 13–3 | -0.01 | 17% | 12 Feb → | ||
| 13–5 | 0.05 | 6% | 7 Feb → | ||
| 11–13 | -0.01 | 26% | 7 Feb → | ||
| 11–13 | -0.02 | 17% | 28 Jan → | ||
| 13–10 | 0.05 | 11% | 23 Jan → | ||
| 13–5 | -0.05 | 13% | 23 Jan → | ||
| 13–1 | -0.02 | 50% | 22 Jan → | ||
| 13–1 | 0.09 | 29% | 22 Jan → | ||
| 10–13 | -0.07 | 14% | 22 Jan → | ||
| 11–13 | -0.02 | 20% | 22 Jan → | ||
| 13–5 | -0.05 | 12% | 22 Jan → | ||
| 13–11 | 0.03 | 21% | 22 Jan → | ||
| 13–7 | 0.03 | 26% | 19 Jan → | ||
| 7–13 | -0.02 | 20% | 19 Jan → | ||
| 16–12 | 0.00 | 30% | 16 Jan → | ||
| 13–9 | 0.07 | 22% | 15 Jan → | ||
| 13–5 | -0.04 | 10% | 9 Jan → |
Match data via Leetify.