Marco ar — CS2 Stats
AU76561198162363827[U:1:202098099]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
Excellent counter-strafing
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 84% playstyle similarity
Most alike: opening-fight frequency, utility contribution.
Where you differ: lower positioning profile; 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
Reaction time. 710ms 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 5.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| A | 28 | 17–11 | 61% | -0.02 | |
| B | 16 | 8–8 | 50% | -0.02 | |
| S | 15 | 10–5 | 67% | -0.02 | |
| C | 14 | 6–8 | 43% | -0.03 | |
| A | 11 | 7–4 | 64% | -0.02 | |
| B | 8 | 4–4 | 50% | -0.01 | |
| D | 5 | 1–4 | 20% | -0.02 | |
| — | 2 | 1–1 | 50% | 0.01 | |
| — | 1 | 1–0 | 100% | 0.04 |
Across the last 100 tracked matches.
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 resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 59 | 61% | 0.79 | 10.7 |
| Inferno | 26 | 46% | 0.84 | 11.3 |
| Vertigo | 19 | 68% | 0.94 | 14.5 |
| Ancient | 17 | 41% | 0.81 | 12.2 |
| Anubis | 9 | 56% | 0.88 | 12.1 |
| Dust2 | 8 | 0% | 0.82 | 14.6 |
| Nuke | 7 | 57% | 0.75 | 11.0 |
| Train | 3 | 33% | 0.79 | 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.
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 709.8088ms — above the 700ms 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 24.6083% — 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 | |
|---|---|---|---|---|---|
| 13–8 | -0.05 | 13% | 21 Aug → | ||
| 10–13 | -0.01 | 24% | 21 Aug → | ||
| 13–3 | 0.02 | 19% | 8 Jul → | ||
| 6–13 | 0.02 | 28% | 8 Jul → | ||
| 13–9 | 0.08 | 34% | 8 Jul → | ||
| 10–13 | -0.02 | 16% | 8 Jul → | ||
| 12–12 | -0.04 | 21% | 8 Jul → | ||
| 13–9 | -0.08 | 24% | 8 Jul → | ||
| 4–13 | -0.07 | 31% | 8 Jul → | ||
| 13–4 | 0.00 | 12% | 6 Jul → | ||
| 15–15 | -0.02 | 27% | 6 Jul → | ||
| 5–13 | -0.16 | 25% | 1 Jul → | ||
| 7–13 | 0.00 | 25% | 1 Jul → | ||
| 13–1 | 0.05 | 50% | 30 Jun → | ||
| 13–9 | 0.01 | 26% | 30 Jun → | ||
| 12–12 | -0.01 | 26% | 28 Jun → | ||
| 13–8 | 0.07 | 23% | 28 Jun → | ||
| 13–7 | -0.07 | 15% | 28 Jun → | ||
| 13–4 | -0.03 | 14% | 28 Jun → | ||
| 13–11 | 0.03 | 36% | 27 Jun → | ||
| 11–13 | -0.01 | 29% | 27 Jun → | ||
| 13–11 | -0.02 | 29% | 26 Jun → | ||
| 13–4 | -0.01 | 23% | 26 Jun → | ||
| 13–7 | -0.01 | 24% | 24 Jun → | ||
| 10–13 | -0.03 | 38% | 24 Jun → | ||
| 2–13 | -0.06 | 20% | 24 Jun → | ||
| 1–13 | -0.09 | 31% | 24 Jun → | ||
| 13–8 | -0.05 | 24% | 24 Jun → | ||
| 10–13 | -0.07 | 26% | 24 Jun → | ||
| 9–13 | -0.03 | 17% | 22 Jun → | ||
| 13–10 | -0.01 | 20% | 22 Jun → | ||
| 13–2 | 0.13 | 24% | 22 Jun → | ||
| 13–9 | -0.07 | 14% | 21 Jun → | ||
| 11–13 | -0.07 | 19% | 21 Jun → | ||
| 13–6 | -0.04 | 10% | 20 Jun → | ||
| 2–13 | -0.05 | 14% | 20 Jun → | ||
| 8–13 | -0.04 | 19% | 19 Jun → | ||
| 13–1 | 0.06 | 36% | 17 Jun → | ||
| 11–13 | -0.08 | 21% | 17 Jun → | ||
| 12–12 | -0.01 | 25% | 9 Jun → | ||
| 13–5 | 0.03 | 15% | 7 Jun → | ||
| 13–9 | -0.07 | 21% | 7 Jun → | ||
| 11–13 | -0.02 | 19% | 3 Jun → | ||
| 12–12 | -0.05 | 19% | 30 May → | ||
| 13–1 | -0.02 | 25% | 30 May → | ||
| 13–9 | 0.02 | 26% | 30 May → | ||
| 12–6 | 0.03 | 40% | 29 May → | ||
| 13–2 | 0.04 | 15% | 29 May → | ||
| 13–11 | -0.05 | 17% | 10 May → | ||
| 13–10 | -0.05 | 15% | 9 May → | ||
| 13–11 | -0.02 | 20% | 9 May → | ||
| 13–4 | -0.01 | 21% | 24 Apr → | ||
| 11–13 | -0.03 | 23% | 24 Apr → | ||
| 8–13 | -0.07 | 25% | 24 Apr → | ||
| 13–4 | -0.00 | 6% | 23 Apr → | ||
| 13–3 | -0.01 | 23% | 23 Apr → | ||
| 13–6 | -0.03 | 19% | 23 Apr → | ||
| 6–13 | -0.07 | 20% | 23 Apr → | ||
| 9–3 | 0.13 | 29% | 23 Apr → | ||
| 9–3 | 0.01 | 23% | 23 Apr → | ||
| 5–13 | -0.08 | 13% | 7 Apr → | ||
| 9–13 | 0.04 | 23% | 7 Apr → | ||
| 13–4 | -0.00 | 32% | 4 Apr → | ||
| 8–13 | -0.03 | 13% | 4 Apr → | ||
| 10–13 | 0.02 | 21% | 4 Apr → | ||
| 11–13 | -0.08 | 18% | 4 Apr → | ||
| 13–9 | 0.01 | 19% | 3 Apr → | ||
| 9–1 | 0.12 | 17% | 3 Apr → | ||
| 5–9 | -0.15 | 15% | 3 Apr → | ||
| 9–6 | -0.09 | 15% | 3 Apr → | ||
| 9–13 | -0.03 | 13% | 31 Mar → | ||
| 13–10 | -0.04 | 25% | 31 Mar → | ||
| 8–13 | -0.04 | 18% | 31 Mar → | ||
| 13–7 | -0.01 | 21% | 31 Mar → | ||
| 13–9 | -0.04 | 23% | 15 Mar → | ||
| 13–4 | -0.05 | 16% | 15 Mar → | ||
| 16–14 | 0.04 | 34% | 14 Mar → | ||
| 13–5 | 0.01 | 19% | 14 Mar → | ||
| 13–3 | 0.01 | 13% | 13 Mar → | ||
| 7–13 | -0.01 | 35% | 13 Mar → | ||
| 5–13 | -0.02 | 27% | 13 Mar → | ||
| 13–4 | 0.07 | 26% | 11 Mar → | ||
| 6–13 | -0.01 | 16% | 22 Feb → | ||
| 13–11 | -0.03 | 16% | 21 Feb → | ||
| 12–12 | -0.04 | 15% | 6 Feb → | ||
| 13–3 | 0.02 | 19% | 6 Feb → | ||
| 13–10 | -0.02 | 16% | 6 Feb → | ||
| 8–13 | -0.05 | 18% | 6 Feb → | ||
| 9–13 | -0.07 | 13% | 6 Feb → | ||
| 10–13 | -0.06 | 26% | 5 Feb → | ||
| 6–13 | 0.00 | 16% | 5 Feb → | ||
| 13–8 | 0.05 | 36% | 5 Feb → | ||
| 13–5 | 0.00 | 22% | 4 Feb → | ||
| 13–8 | -0.03 | 10% | 4 Feb → | ||
| 7–13 | -0.08 | 15% | 4 Feb → | ||
| 5–13 | -0.01 | 15% | 3 Feb → | ||
| 13–10 | -0.08 | 22% | 3 Feb → | ||
| 13–5 | -0.01 | 23% | 3 Feb → | ||
| 11–13 | -0.02 | 20% | 3 Feb → | ||
| 12–12 | -0.04 | 42% | 3 Feb → |
Match data via Leetify.