-810 — CS2 Stats
UA76561198124796262[U:1:164530534]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · +0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong 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 b1t 95% playstyle similarity
Most alike: opening-duel success, 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 89 — 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.
T-side openings. Opening success drops from 55% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.
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 7.4/10 (Strong), 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 | 30 | 17–13 | 57% | 0.01 | |
| S | 19 | 13–6 | 68% | 0.02 | |
| A | 15 | 9–6 | 60% | 0.03 | |
| S | 14 | 10–4 | 71% | 0.02 | |
| S | 6 | 5–1 | 83% | 0.03 | |
| A | 5 | 3–2 | 60% | 0.00 | |
| — | 4 | 2–2 | 50% | 0.02 | |
| — | 3 | 2–1 | 67% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (57% over 30). Start with the 6 essential Mirage 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 resultsLWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 593 | 53% | 1.16 | 15.9 |
| Ancient | 461 | 55% | 1.16 | 16.1 |
| Anubis | 281 | 56% | 1.19 | 15.9 |
| Dust2 | 252 | 54% | 1.21 | 15.9 |
| Nuke | 131 | 51% | 1.16 | 16.2 |
| Overpass | 67 | 57% | 1.14 | 15.7 |
| Vertigo | 67 | 42% | 1.05 | 14.5 |
| Train | 40 | 58% | 1.16 | 16.4 |
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.
- 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 31.7006% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 2–13 | 0.02 | 22% | 8 Aug → | ||
| 11–13 | 0.01 | 37% | 6 Aug → | ||
| 9–13 | -0.04 | 19% | 6 Aug → | ||
| 13–5 | 0.11 | 33% | 29 Jul → | ||
| 13–8 | 0.01 | 20% | 2 Jul → | ||
| 13–8 | 0.07 | 29% | 2 Jul → | ||
| 13–7 | 0.02 | 28% | 2 Jul → | ||
| 13–3 | 0.11 | 28% | 2 Jul → | ||
| 13–16 | 0.03 | 39% | 11 Apr → | ||
| 10–13 | 0.02 | 22% | 11 Apr → | ||
| 3–13 | -0.03 | 33% | 11 Apr → | ||
| 13–6 | 0.01 | 24% | 11 Apr → | ||
| 14–16 | -0.02 | 14% | 3 Apr → | ||
| 13–4 | -0.01 | 39% | 30 Mar → | ||
| 13–11 | 0.08 | 29% | 27 Mar → | ||
| 7–13 | -0.08 | 11% | 17 Mar → | ||
| 16–13 | 0.02 | 45% | 5 Mar → | ||
| 11–13 | 0.00 | 30% | 3 Mar → | ||
| 13–1 | 0.03 | 16% | 12 Feb → | ||
| 13–4 | 0.02 | 29% | 9 Feb → | ||
| 13–7 | 0.01 | 37% | 4 Jan → | ||
| 13–9 | 0.01 | 14% | 4 Jan → | ||
| 4–13 | -0.02 | 24% | 30 Dec → | ||
| 7–13 | -0.01 | 20% | 9 Dec → | ||
| 22–20 | -0.01 | 17% | 25 Nov → | ||
| 13–4 | 0.05 | 28% | 19 Nov → | ||
| 13–16 | -0.03 | 25% | 18 Nov → | ||
| 13–2 | 0.05 | 14% | 5 Nov → | ||
| 12–1 | 0.04 | 31% | 3 Nov → | ||
| 13–11 | 0.04 | 17% | 3 Nov → | ||
| 7–13 | -0.01 | 18% | 29 Oct → | ||
| 13–5 | -0.00 | 23% | 23 Oct → | ||
| 9–5 | 0.04 | 58% | 21 Oct → | ||
| 13–9 | 0.07 | 30% | 21 Oct → | ||
| 10–13 | 0.02 | 32% | 16 Oct → | ||
| 13–11 | 0.05 | 27% | 9 Oct → | ||
| 13–10 | -0.00 | 37% | 8 Oct → | ||
| 11–13 | -0.05 | 35% | 8 Oct → | ||
| 10–13 | -0.03 | 21% | 7 Oct → | ||
| 16–13 | 0.03 | 23% | 7 Oct → | ||
| 13–3 | 0.08 | 38% | 4 Oct → | ||
| 10–13 | 0.00 | 23% | 4 Oct → | ||
| 13–4 | -0.00 | 13% | 3 Oct → | ||
| 16–12 | 0.06 | 30% | 30 Sept → | ||
| 17–19 | -0.02 | 19% | 30 Sept → | ||
| 11–13 | -0.02 | 15% | 23 Sept → | ||
| 13–10 | 0.07 | 17% | 23 Sept → | ||
| 13–8 | 0.05 | 25% | 22 Sept → | ||
| 17–19 | -0.03 | 20% | 21 Sept → | ||
| 13–10 | 0.07 | 33% | 18 Sept → | ||
| 7–13 | 0.02 | 18% | 13 Sept → | ||
| 13–11 | 0.08 | 24% | 14 Aug → | ||
| 13–3 | 0.14 | 28% | 14 Aug → | ||
| 13–11 | 0.04 | 21% | 14 Jun → | ||
| 8–13 | 0.08 | 33% | 22 Nov → | ||
| 9–13 | 0.02 | 23% | 3 Nov → | ||
| 4–13 | -0.04 | 23% | 27 Oct → | ||
| 13–8 | -0.01 | 34% | 26 Oct → | ||
| 8–13 | -0.01 | 31% | 26 Oct → | ||
| 9–13 | -0.05 | 24% | 2 Sept → | ||
| 13–7 | 0.05 | 17% | 31 Aug → | ||
| 13–7 | 0.04 | 19% | 10 Mar → | ||
| 10–13 | -0.00 | 23% | 10 Mar → | ||
| 13–11 | 0.02 | 30% | 10 Mar → | ||
| 13–16 | -0.01 | 26% | 10 Mar → | ||
| 13–4 | 0.05 | 23% | 10 Mar → | ||
| 14–16 | -0.01 | 27% | 9 Mar → | ||
| 16–12 | 0.02 | 17% | 9 Mar → | ||
| 13–6 | 0.07 | 23% | 9 Mar → | ||
| 13–3 | 0.03 | 39% | 7 Mar → | ||
| 5–13 | -0.05 | 32% | 7 Mar → | ||
| 13–8 | 0.01 | 21% | 7 Mar → | ||
| 13–10 | -0.01 | 26% | 7 Mar → | ||
| 13–9 | 0.02 | 27% | 6 Mar → | ||
| 13–8 | 0.04 | 28% | 6 Mar → | ||
| 13–11 | 0.00 | 42% | 6 Mar → | ||
| 8–13 | 0.05 | 21% | 6 Mar → | ||
| 14–16 | -0.02 | 20% | 6 Mar → | ||
| 13–5 | 0.12 | 31% | 6 Mar → | ||
| 3–13 | -0.07 | 14% | 4 Mar → | ||
| 13–6 | 0.00 | 11% | 4 Mar → | ||
| 13–5 | -0.02 | 23% | 4 Mar → | ||
| 13–6 | 0.02 | 10% | 4 Mar → | ||
| 7–13 | -0.03 | 16% | 3 Mar → | ||
| 13–11 | 0.08 | 32% | 3 Mar → | ||
| 13–10 | 0.08 | 23% | 3 Mar → | ||
| 4–13 | -0.02 | 33% | 3 Mar → | ||
| 13–3 | -0.10 | 20% | 3 Mar → | ||
| 13–7 | 0.08 | 30% | 3 Mar → | ||
| 10–12 | 0.00 | 24% | 2 Mar → | ||
| 13–9 | 0.01 | 24% | 2 Mar → | ||
| 13–1 | 0.06 | 31% | 2 Mar → | ||
| 13–7 | 0.00 | 16% | 2 Mar → | ||
| 13–5 | 0.06 | 19% | 2 Mar → | ||
| 10–13 | -0.04 | 31% | 2 Mar → | ||
| 8–13 | -0.03 | 14% | 2 Mar → | ||
| 13–10 | 0.07 | 25% | 1 Mar → | ||
| 13–10 | -0.01 | 17% | 1 Mar → | ||
| 13–10 | -0.01 | 28% | 1 Mar → | ||
| 13–5 | 0.11 | 26% | 1 Mar → |
Match data via Leetify.