maarzS — CS2 Stats
76561198147026796[U:1:186761068]✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · -0.01 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 NiKo 64% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower opening-fight frequency; 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. 682ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 58% 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 2.4/10 (Learning), 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 |
|---|---|---|---|---|---|
 mirage | C | 21 | 8–13 | 38% | -0.03 |
 inferno | D | 15 | 5–10 | 33% | -0.01 |
 cache | D | 11 | 3–8 | 27% | -0.03 |
 dust2 | D | 11 | 3–8 | 27% | -0.03 |
 anubis | D | 9 | 2–7 | 22% | -0.05 |
 train | D | 8 | 2–6 | 25% | -0.05 |
| office | D | 8 | 2–6 | 25% | -0.02 |
 vertigo | C | 7 | 3–4 | 43% | -0.04 |
 nuke | D | 6 | 1–5 | 17% | -0.03 |
 ancient | — | 2 | 1–1 | 50% | -0.08 |
 overpass | — | 2 | 1–1 | 50% | -0.05 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.8118° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.2782% — below the 15% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| mirage | 13–10 | -0.02 | 8% | 30 Aug → | |
| cache | 9–13 | -0.04 | 18% | 29 Aug → | |
| inferno | 12–12 | -0.01 | 17% | 29 Aug → | |
| dust2 | 5–13 | -0.05 | 14% | 29 Aug → | |
| mirage | 8–13 | -0.02 | 7% | 24 Aug → | |
| nuke | 12–12 | -0.07 | 14% | 24 Aug → | |
| mirage | 10–13 | -0.03 | 21% | 20 Aug → | |
| nuke | 12–12 | -0.07 | 10% | 20 Aug → | |
| train | 9–13 | -0.06 | 11% | 17 Aug → | |
| train | 13–11 | -0.02 | 13% | 17 Aug → | |
| inferno | 13–11 | -0.02 | 17% | 17 Aug → | |
| mirage | 13–8 | -0.07 | 21% | 11 Aug → | |
| dust2 | 7–13 | -0.09 | 17% | 11 Aug → | |
| mirage | 2–13 | -0.08 | 15% | 11 Aug → | |
| anubis | 13–10 | -0.01 | 15% | 11 Aug → | |
| vertigo | 7–13 | 0.01 | 17% | 3 Aug → | |
| inferno | 4–13 | 0.06 | 8% | 3 Aug → | |
| mirage | 6–13 | 0.01 | 14% | 3 Aug → | |
| vertigo | 13–7 | -0.08 | 8% | 3 Aug → | |
| dust2 | 5–13 | -0.08 | 9% | 3 Aug → | |
| nuke | 9–13 | -0.01 | 13% | 26 Jul → | |
| inferno | 13–6 | -0.04 | 10% | 26 Jul → | |
| anubis | 5–13 | -0.05 | 15% | 26 Jul → | |
| anubis | 10–13 | -0.03 | 18% | 23 Jul → | |
| nuke | 13–8 | -0.05 | 9% | 16 Jul → | |
| dust2 | 12–12 | -0.04 | 17% | 15 Jul → | |
| cache | 12–12 | 0.00 | 15% | 15 Jul → | |
| dust2 | 13–7 | -0.11 | 13% | 8 Jul → | |
| mirage | 9–13 | 0.05 | 20% | 8 Jul → | |
| office | 13–9 | -0.02 | 20% | 8 Jul → | |
| office | 7–13 | -0.07 | 14% | 8 Jul → | |
| inferno | 8–13 | 0.04 | 18% | 3 Jul → | |
| cache | 4–13 | -0.12 | 31% | 3 Jul → | |
| cache | 13–11 | -0.03 | 7% | 2 Jul → | |
| cache | 5–3 | 0.04 | 17% | 2 Jul → | |
| inferno | 16–13 | 0.13 | 12% | 25 Jun → | |
| nuke | 7–13 | 0.07 | 14% | 25 Jun → | |
| train | 1–11 | -0.08 | 0% | 25 Jun → | |
| mirage | 4–6 | 0.07 | 14% | 25 Jun → | |
| train | 12–12 | -0.02 | 9% | 23 Jun → | |
| inferno | 13–10 | -0.02 | 23% | 18 Jun → | |
| mirage | 13–8 | -0.09 | 18% | 18 Jun → | |
| train | 6–13 | -0.06 | 29% | 17 Jun → | |
| cache | 13–9 | 0.02 | 14% | 14 Jun → | |
| nuke | 8–13 | -0.05 | 10% | 14 Jun → | |
| mirage | 13–11 | -0.05 | 23% | 14 Jun → | |
| mirage | 8–13 | -0.07 | 18% | 12 Jun → | |
| mirage | 4–13 | 0.00 | 14% | 12 Jun → | |
| mirage | 13–3 | -0.03 | 12% | 4 Jun → | |
| vertigo | 11–13 | 0.02 | 10% | 3 Jun → | |
| vertigo | 12–12 | -0.08 | 13% | 3 Jun → | |
| anubis | 13–5 | -0.09 | 14% | 30 May → | |
| anubis | 7–13 | -0.04 | 24% | 30 May → | |
| inferno | 2–13 | -0.06 | 18% | 30 May → | |
| dust2 | 7–13 | 0.00 | 29% | 30 May → | |
| anubis | 3–13 | -0.08 | 17% | 21 May → | |
| dust2 | 13–4 | -0.03 | 8% | 21 May → | |
| vertigo | 7–13 | -0.07 | 11% | 21 May → | |
| mirage | 13–11 | -0.04 | 13% | 21 May → | |
| mirage | 9–13 | -0.08 | 10% | 14 May → | |
| inferno | 4–13 | 0.02 | 12% | 14 May → | |
| office | 6–13 | -0.05 | 0% | 14 May → | |
| office | 13–3 | 0.05 | 18% | 14 May → | |
| office | 4–13 | -0.04 | 13% | 14 May → | |
| mirage | 6–13 | 0.03 | 26% | 7 May → | |
| cache | 7–13 | -0.03 | 14% | 7 May → | |
| cache | 4–13 | -0.01 | 15% | 6 May → | |
| cache | 10–13 | -0.02 | 15% | 6 May → | |
| cache | 11–13 | -0.04 | 6% | 29 Apr → | |
| ancient | 13–7 | -0.05 | 14% | 29 Apr → | |
| cache | 12–12 | -0.07 | 6% | 29 Apr → | |
| train | 13–10 | 0.02 | 15% | 23 Apr → | |
| train | 9–13 | -0.09 | 19% | 22 Apr → | |
| train | 4–13 | -0.07 | 13% | 22 Apr → | |
| inferno | 12–12 | 0.00 | 13% | 16 Apr → | |
| dust2 | 4–13 | -0.06 | 8% | 16 Apr → | |
| dust2 | 13–3 | 0.05 | 20% | 15 Apr → | |
| inferno | 2–13 | -0.04 | 13% | 15 Apr → | |
| ancient | 6–13 | -0.10 | 17% | 15 Apr → | |
| mirage | 12–12 | 0.01 | 16% | 15 Apr → | |
| vertigo | 13–8 | -0.03 | 13% | 8 Apr → | |
| vertigo | 13–8 | -0.08 | 5% | 8 Apr → | |
| inferno | 6–13 | -0.08 | 8% | 1 Apr → | |
| anubis | 4–13 | -0.12 | 7% | 1 Apr → | |
| anubis | 6–13 | -0.03 | 16% | 1 Apr → | |
| anubis | 11–13 | 0.01 | 13% | 1 Apr → | |
| mirage | 13–11 | -0.04 | 9% | 27 Mar → | |
| inferno | 13–10 | -0.09 | 6% | 25 Mar → | |
| inferno | 11–13 | -0.03 | 13% | 25 Mar → | |
| dust2 | 6–13 | -0.00 | 21% | 25 Mar → | |
| office | 12–12 | 0.06 | 12% | 19 Mar → | |
| office | 9–13 | 0.01 | 0% | 18 Mar → | |
| office | 7–13 | -0.08 | 13% | 18 Mar → | |
| mirage | 6–13 | -0.04 | 11% | 11 Mar → | |
| overpass | 12–12 | -0.04 | 13% | 11 Mar → | |
| overpass | 13–9 | -0.06 | 27% | 11 Mar → | |
| mirage | 9–13 | -0.08 | 7% | 6 Mar → | |
| mirage | 13–6 | -0.05 | 3% | 6 Mar → | |
| dust2 | 7–13 | 0.02 | 9% | 6 Mar → | |
| inferno | 11–13 | -0.07 | 17% | 5 Mar → |
Match data via Leetify.