agent — CS2 Stats
76561199363834830[U:1:1403569102]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 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 90% playstyle similarity
Most alike: opening-fight frequency, 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 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.
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 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 598ms 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 6.6/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 49 | 27–22 | 55% | 0.03 | |
| A | 14 | 9–5 | 64% | -0.01 | |
| S | 10 | 9–1 | 90% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| A | 5 | 3–2 | 60% | 0.05 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| office | — | 1 | 0–1 | 0% | 0.05 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 90 | 57% | 1.33 | 16.7 |
| Anubis | 23 | 48% | 1.17 | 19.4 |
| Nuke | 16 | 50% | 1.56 | 18.9 |
| Ancient | 15 | 33% | 1.05 | 17.9 |
| Train | 13 | 69% | 1.67 | 19.9 |
| Inferno | 10 | 70% | 1.04 | 16.4 |
| Dust2 | 3 | 0% | 0.70 | 8.7 |
| Overpass | 3 | 100% | 1.84 | 22.3 |
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
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 0.3591 — 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 29.3689% — 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.
20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.06 | 32% | 7 Apr → | ||
| 2–13 | -0.04 | 25% | 6 Apr → | ||
| 13–6 | -0.02 | 28% | 5 Apr → | ||
| 5–13 | -0.01 | 18% | 5 Apr → | ||
| 6–13 | 0.08 | 26% | 2 Apr → | ||
| 3–13 | -0.01 | 59% | 29 Mar → | ||
| 8–13 | 0.00 | 24% | 29 Mar → | ||
| 13–8 | 0.04 | 43% | 26 Mar → | ||
| 13–3 | 0.10 | 25% | 26 Mar → | ||
| 13–9 | 0.03 | 18% | 26 Mar → | ||
| 6–9 | -0.03 | 29% | 25 Mar → | ||
| 13–11 | 0.07 | 33% | 25 Mar → | ||
| 2–13 | -0.00 | 29% | 25 Mar → | ||
| 13–11 | 0.14 | 18% | 25 Mar → | ||
| 19–16 | 0.02 | 20% | 24 Mar → | ||
| 16–13 | 0.04 | 25% | 24 Mar → | ||
| 2–7 | -0.04 | 15% | 24 Mar → | ||
| 13–6 | 0.02 | 32% | 21 Mar → | ||
| 13–7 | 0.08 | 41% | 20 Mar → | ||
| 10–13 | 0.08 | 35% | 20 Mar → | ||
| 8–13 | -0.01 | 55% | 20 Mar → | ||
| 13–11 | -0.02 | 27% | 19 Mar → | ||
| 13–9 | -0.01 | 23% | 19 Mar → | ||
| 13–5 | 0.04 | 37% | 19 Mar → | ||
| 15–15 | 0.03 | 36% | 19 Mar → | ||
| 13–9 | 0.01 | 23% | 18 Mar → | ||
| 5–11 | -0.01 | 13% | 18 Mar → | ||
| 13–1 | 0.04 | 20% | 18 Mar → | ||
| 3–7 | -0.11 | 25% | 18 Mar → | ||
| 12–12 | 0.06 | 40% | 18 Mar → | ||
| 13–9 | 0.03 | 23% | 18 Mar → | ||
| 13–6 | 0.06 | 52% | 18 Mar → | ||
| 13–9 | 0.01 | 29% | 18 Mar → | ||
| 13–6 | 0.08 | 37% | 17 Mar → | ||
| 13–5 | 0.01 | 26% | 17 Mar → | ||
| 13–10 | 0.02 | 40% | 17 Mar → | ||
| 13–6 | 0.08 | 26% | 16 Mar → | ||
| 9–13 | -0.00 | 25% | 15 Mar → | ||
| 2–13 | 0.01 | 16% | 15 Mar → | ||
| 10–13 | -0.03 | 20% | 15 Mar → | ||
| 13–4 | 0.01 | 30% | 15 Mar → | ||
| 13–6 | -0.01 | 14% | 15 Mar → | ||
| 3–13 | -0.00 | 38% | 14 Mar → | ||
| 13–11 | 0.04 | 29% | 14 Mar → | ||
| 5–13 | 0.09 | 39% | 14 Mar → | ||
| 11–13 | 0.00 | 20% | 14 Mar → | ||
| 13–8 | 0.11 | 28% | 14 Mar → | ||
| 12–12 | 0.10 | 28% | 13 Mar → | ||
| 13–4 | 0.10 | 34% | 13 Mar → | ||
| 11–13 | -0.01 | 19% | 13 Mar → | ||
| 13–7 | 0.00 | 27% | 13 Mar → | ||
| 13–10 | 0.03 | 19% | 13 Mar → | ||
| 13–3 | 0.21 | 20% | 12 Mar → | ||
| 8–13 | -0.02 | 8% | 11 Mar → | ||
| 13–11 | -0.00 | 25% | 11 Mar → | ||
| 6–13 | -0.03 | 27% | 11 Mar → | ||
| 13–11 | 0.07 | 16% | 10 Mar → | ||
| 13–2 | 0.07 | 27% | 5 Mar → | ||
| 10–13 | 0.08 | 21% | 5 Mar → | ||
| 1–9 | -0.14 | 20% | 5 Mar → | ||
| 13–5 | 0.13 | 37% | 5 Mar → | ||
| 13–3 | 0.09 | 34% | 5 Mar → | ||
| 12–12 | 0.04 | 19% | 5 Mar → | ||
| 13–8 | -0.01 | 18% | 4 Mar → | ||
| 5–13 | -0.07 | 18% | 4 Mar → | ||
| 16–14 | -0.05 | 14% | 4 Mar → | ||
| 10–13 | -0.02 | 33% | 4 Mar → | ||
| 4–0 | 0.09 | 60% | 4 Mar → | ||
| 4–13 | -0.02 | 19% | 4 Mar → | ||
| 7–13 | -0.06 | 11% | 3 Mar → | ||
| 13–10 | -0.02 | 28% | 3 Mar → | ||
| 8–13 | -0.03 | 43% | 3 Mar → | ||
| 5–13 | -0.02 | 43% | 1 Mar → | ||
| 13–8 | -0.04 | 23% | 28 Feb → | ||
| 1–13 | -0.06 | 30% | 27 Feb → | ||
| 13–8 | -0.02 | 42% | 27 Feb → | ||
| 13–5 | 0.08 | 31% | 27 Feb → | ||
| 4–13 | -0.06 | 18% | 26 Feb → | ||
| 13–5 | 0.02 | 25% | 26 Feb → | ||
| 3–13 | -0.07 | 26% | 26 Feb → | ||
| 13–5 | 0.03 | 19% | 26 Feb → | ||
| 11–13 | 0.01 | 29% | 26 Feb → | ||
| 19–16 | 0.10 | 20% | 25 Feb → | ||
| 1–5 | 0.00 | 25% | 24 Feb → | ||
| 14–16 | -0.01 | 18% | 24 Feb → | ||
| 13–9 | -0.03 | 24% | 24 Feb → | ||
| 13–7 | 0.06 | 43% | 24 Feb → | ||
| 13–10 | 0.02 | 33% | 23 Feb → | ||
| 13–2 | 0.11 | 13% | 23 Feb → | ||
| 13–11 | 0.02 | 21% | 23 Feb → | ||
| 13–11 | 0.03 | 20% | 22 Feb → | ||
| 13–6 | 0.05 | 20% | 22 Feb → | ||
| 13–7 | 0.05 | 22% | 22 Feb → | ||
| 12–12 | -0.04 | 19% | 22 Feb → | ||
| office | 6–13 | 0.05 | 20% | 22 Feb → | |
| 7–13 | -0.03 | 24% | 22 Feb → | ||
| 16–13 | 0.00 | 16% | 21 Feb → | ||
| 8–13 | -0.05 | 26% | 21 Feb → | ||
| 9–13 | -0.01 | 24% | 21 Feb → | ||
| 13–8 | 0.01 | 25% | 21 Feb → |
Match data via Leetify.