-AgentM- — CS2 Stats
76561198347445510[U:1:387179782]✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), 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 | Level 10 median |
|---|---|---|
| Headshot rate | 50.6% | 52.0% |
| Shot accuracy | 11.0% | 13.7% |
| Kill/death ratio | 1.22 | 1.08 |
| Match win rate | 49.2% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side openerLimited 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 ropz 93% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: higher opening-fight frequency.
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 85 — 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 57% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 564ms 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 7.0/10 (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 | 28 | 16–12 | 57% | -0.02 | |
| B | 22 | 11–11 | 50% | 0.01 | |
| S | 21 | 15–6 | 71% | -0.00 | |
| S | 19 | 14–5 | 74% | 0.01 | |
| — | 4 | 2–2 | 50% | -0.01 | |
| boulder | — | 3 | 3–0 | 100% | 0.03 |
| — | 2 | 1–1 | 50% | 0.06 | |
| fachwerk | — | 1 | 1–0 | 100% | 0.18 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (50% over 22). Start with the 6 essential Inferno 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 resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 237 | 52% | 1.01 | 15.2 |
| Inferno | 181 | 56% | 1.18 | 16.2 |
| Anubis | 103 | 59% | 1.15 | 17.3 |
| Ancient | 82 | 45% | 1.00 | 15.1 |
| Vertigo | 42 | 60% | 1.17 | 17.7 |
| Overpass | 23 | 57% | 1.01 | 17.4 |
| Dust2 | 10 | 0% | 0.80 | 13.6 |
| Train | 7 | 57% | 1.32 | 15.7 |
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 37.9027% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | 0.01 | 12% | 16 Aug → | ||
| 13–9 | 0.00 | 14% | 14 Aug → | ||
| 0–13 | -0.10 | 31% | 14 Aug → | ||
| boulder | 13–6 | 0.01 | 43% | 11 Aug → | |
| 13–11 | 0.09 | 37% | 11 Aug → | ||
| 11–13 | 0.00 | 17% | 11 Aug → | ||
| 13–5 | 0.02 | 23% | 11 Aug → | ||
| 13–6 | 0.03 | 21% | 10 Aug → | ||
| 16–13 | -0.00 | 31% | 10 Aug → | ||
| 13–5 | -0.01 | 27% | 10 Aug → | ||
| 16–14 | -0.00 | 25% | 10 Aug → | ||
| fachwerk | 13–2 | 0.18 | 27% | 10 Aug → | |
| boulder | 13–4 | 0.02 | 18% | 10 Aug → | |
| 11–13 | 0.03 | 20% | 9 Aug → | ||
| 13–8 | -0.04 | 23% | 9 Aug → | ||
| 10–13 | -0.01 | 18% | 9 Aug → | ||
| 13–6 | 0.06 | 32% | 9 Aug → | ||
| 16–13 | 0.01 | 29% | 9 Aug → | ||
| 10–13 | 0.00 | 30% | 7 Aug → | ||
| 9–13 | -0.01 | 14% | 7 Aug → | ||
| 13–2 | 0.04 | 39% | 7 Aug → | ||
| 6–13 | -0.02 | 18% | 7 Aug → | ||
| 10–13 | -0.04 | 20% | 7 Aug → | ||
| 5–13 | -0.04 | 31% | 5 Aug → | ||
| 13–2 | -0.01 | 32% | 5 Aug → | ||
| 13–9 | -0.03 | 18% | 4 Aug → | ||
| 11–13 | -0.06 | 13% | 4 Aug → | ||
| 13–9 | -0.03 | 19% | 4 Aug → | ||
| 8–13 | 0.01 | 45% | 4 Aug → | ||
| 11–13 | -0.05 | 24% | 2 Aug → | ||
| 12–16 | -0.03 | 22% | 2 Aug → | ||
| 13–5 | 0.03 | 19% | 2 Aug → | ||
| 13–8 | -0.01 | 27% | 2 Aug → | ||
| 13–8 | 0.02 | 18% | 2 Aug → | ||
| 6–13 | -0.02 | 17% | 2 Aug → | ||
| 13–16 | 0.06 | 23% | 1 Aug → | ||
| 13–4 | -0.03 | 33% | 1 Aug → | ||
| 13–11 | -0.02 | 21% | 1 Aug → | ||
| 11–13 | 0.01 | 25% | 1 Aug → | ||
| 13–5 | 0.01 | 32% | 1 Aug → | ||
| 13–4 | 0.09 | 21% | 1 Aug → | ||
| 13–4 | -0.01 | 16% | 1 Aug → | ||
| 10–13 | -0.00 | 29% | 1 Aug → | ||
| 13–5 | -0.01 | 10% | 1 Aug → | ||
| 13–5 | 0.01 | 22% | 28 Jul → | ||
| 8–13 | 0.01 | 32% | 28 Jul → | ||
| 13–7 | -0.01 | 30% | 28 Jul → | ||
| 13–8 | 0.02 | 24% | 26 Jul → | ||
| 13–5 | -0.02 | 23% | 26 Jul → | ||
| 11–13 | 0.04 | 19% | 26 Jul → | ||
| 13–0 | 0.02 | 34% | 26 Jul → | ||
| 13–8 | -0.04 | 15% | 26 Jul → | ||
| 9–13 | -0.04 | 23% | 26 Jul → | ||
| 10–13 | -0.06 | 22% | 26 Jul → | ||
| 13–11 | -0.02 | 23% | 25 Jul → | ||
| 13–9 | 0.02 | 21% | 25 Jul → | ||
| 13–5 | 0.04 | 22% | 25 Jul → | ||
| 9–13 | -0.02 | 20% | 25 Jul → | ||
| boulder | 13–4 | 0.06 | 15% | 25 Jul → | |
| 8–13 | -0.03 | 20% | 20 Jul → | ||
| 13–8 | 0.06 | 26% | 20 Jul → | ||
| 0–13 | -0.06 | 21% | 20 Jul → | ||
| 13–6 | -0.04 | 0% | 19 Jul → | ||
| 8–13 | -0.04 | 25% | 19 Jul → | ||
| 13–1 | 0.02 | 20% | 19 Jul → | ||
| 13–11 | 0.04 | 24% | 19 Jul → | ||
| 13–9 | -0.01 | 9% | 19 Jul → | ||
| 7–13 | -0.06 | 16% | 14 Jul → | ||
| 0–13 | -0.12 | 8% | 12 Jul → | ||
| 13–9 | -0.01 | 22% | 12 Jul → | ||
| 8–13 | -0.01 | 11% | 12 Jul → | ||
| 16–14 | 0.00 | 23% | 12 Jul → | ||
| 11–13 | -0.03 | 21% | 11 Jul → | ||
| 13–4 | 0.01 | 38% | 11 Jul → | ||
| 13–5 | 0.02 | 4% | 11 Jul → | ||
| 13–10 | 0.00 | 18% | 11 Jul → | ||
| 13–10 | 0.00 | 19% | 11 Jul → | ||
| 4–13 | -0.06 | 13% | 8 Jul → | ||
| 13–6 | -0.07 | 21% | 8 Jul → | ||
| 13–9 | 0.01 | 19% | 8 Jul → | ||
| 13–11 | -0.00 | 7% | 8 Jul → | ||
| 15–15 | 0.04 | 24% | 6 Jul → | ||
| 13–11 | 0.07 | 25% | 6 Jul → | ||
| 10–13 | -0.01 | 29% | 5 Jul → | ||
| 8–13 | -0.01 | 32% | 4 Jul → | ||
| 13–10 | 0.09 | 20% | 4 Jul → | ||
| 16–14 | 0.04 | 22% | 4 Jul → | ||
| 13–6 | -0.05 | 13% | 4 Jul → | ||
| 16–14 | 0.02 | 22% | 2 Jul → | ||
| 13–8 | 0.01 | 45% | 2 Jul → | ||
| 13–16 | -0.05 | 22% | 2 Jul → | ||
| 13–6 | -0.00 | 12% | 2 Jul → | ||
| 10–13 | -0.04 | 33% | 29 Jun → | ||
| 13–9 | 0.00 | 17% | 29 Jun → | ||
| 15–15 | 0.03 | 19% | 29 Jun → | ||
| 13–6 | 0.02 | 24% | 29 Jun → | ||
| 13–8 | 0.06 | 27% | 28 Jun → | ||
| 13–11 | -0.02 | 16% | 28 Jun → | ||
| 16–13 | -0.03 | 20% | 28 Jun → | ||
| 13–3 | 0.01 | 32% | 28 Jun → |
Match data via Leetify.