marson.xml — CS2 Stats
US76561198125765376[U:1:165499648]Steam profile ↗
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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: positioning profile, opening-duel success.
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
Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.
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 (×1.00 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 | 24 | 14–10 | 58% | 0.01 | |
| A | 20 | 12–8 | 60% | 0.02 | |
| C | 15 | 6–9 | 40% | 0.00 | |
| S | 10 | 7–3 | 70% | 0.00 | |
| S | 9 | 6–3 | 67% | 0.01 | |
| S | 9 | 7–2 | 78% | 0.03 | |
| S | 7 | 6–1 | 86% | 0.03 | |
| — | 4 | 3–1 | 75% | 0.01 | |
| — | 2 | 2–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Ancient 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 resultsLLWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 51 | 53% | 1.12 | 16.6 |
| Mirage | 48 | 62% | 1.15 | 16.5 |
| Dust2 | 45 | 64% | 1.10 | 16.0 |
| Overpass | 27 | 48% | 1.11 | 16.8 |
| Anubis | 27 | 52% | 1.06 | 13.7 |
| Inferno | 23 | 61% | 1.38 | 19.2 |
| Train | 14 | 71% | 1.12 | 14.8 |
| Nuke | 13 | 54% | 1.02 | 12.9 |
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
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.01 | 26% | 28 Aug → | ||
| 13–16 | -0.00 | 21% | 28 Aug → | ||
| 13–4 | 0.09 | 14% | 28 Aug → | ||
| 13–10 | -0.02 | 14% | 21 Aug → | ||
| 13–10 | -0.04 | 15% | 20 Aug → | ||
| 13–10 | 0.02 | 16% | 11 Aug → | ||
| 11–13 | 0.00 | 23% | 11 Aug → | ||
| 13–8 | 0.03 | 20% | 9 Aug → | ||
| 7–13 | 0.03 | 13% | 9 Aug → | ||
| 16–14 | -0.03 | 14% | 6 Aug → | ||
| 13–7 | 0.05 | 28% | 31 Jul → | ||
| 13–1 | 0.01 | 13% | 28 Jul → | ||
| 9–13 | -0.04 | 28% | 23 Jul → | ||
| 13–3 | 0.05 | 24% | 23 Jul → | ||
| 13–3 | 0.04 | 17% | 21 Jul → | ||
| 10–13 | 0.03 | 16% | 17 Jul → | ||
| 13–7 | -0.03 | 12% | 17 Jul → | ||
| 11–13 | -0.01 | 12% | 17 Jul → | ||
| 13–5 | 0.06 | 19% | 17 Jul → | ||
| 13–7 | 0.00 | 22% | 16 Jul → | ||
| 13–1 | 0.02 | 26% | 16 Jul → | ||
| 13–9 | 0.01 | 14% | 16 Jul → | ||
| 13–2 | 0.04 | 9% | 14 Jul → | ||
| 13–4 | -0.00 | 12% | 13 Jul → | ||
| 7–13 | -0.03 | 15% | 7 Jul → | ||
| 13–9 | 0.04 | 18% | 6 Jul → | ||
| 6–13 | 0.00 | 33% | 6 Jul → | ||
| 4–8 | 0.04 | 38% | 5 Jul → | ||
| 13–6 | 0.02 | 24% | 5 Jul → | ||
| 6–13 | -0.01 | 18% | 5 Jul → | ||
| 13–2 | 0.06 | 26% | 4 Jul → | ||
| 10–13 | -0.03 | 16% | 4 Jul → | ||
| 13–9 | -0.01 | 16% | 4 Jul → | ||
| 13–5 | 0.02 | 3% | 4 Jul → | ||
| 13–4 | -0.02 | 45% | 3 Jul → | ||
| 13–6 | 0.03 | 15% | 3 Jul → | ||
| 1–13 | 0.03 | 33% | 3 Jul → | ||
| 8–13 | 0.05 | 29% | 3 Jul → | ||
| 13–9 | -0.02 | 21% | 3 Jul → | ||
| 13–8 | 0.04 | 10% | 30 Jun → | ||
| 10–13 | 0.02 | 14% | 30 Jun → | ||
| 13–7 | 0.05 | 21% | 30 Jun → | ||
| 13–8 | -0.01 | 18% | 29 Jun → | ||
| 13–7 | -0.01 | 15% | 29 Jun → | ||
| 2–9 | -0.03 | 75% | 21 Jun → | ||
| 13–11 | 0.02 | 29% | 21 Jun → | ||
| 13–11 | -0.03 | 10% | 15 Jun → | ||
| 9–13 | 0.03 | 19% | 15 Jun → | ||
| 13–7 | -0.01 | 17% | 10 Jun → | ||
| 4–13 | 0.00 | 34% | 7 Jun → | ||
| 4–13 | -0.06 | 19% | 7 Jun → | ||
| 16–14 | -0.01 | 20% | 7 Jun → | ||
| 13–10 | 0.01 | 21% | 7 Jun → | ||
| 10–13 | -0.02 | 12% | 7 Jun → | ||
| 7–13 | -0.02 | 30% | 1 Jun → | ||
| 13–11 | 0.05 | 21% | 1 Jun → | ||
| 13–6 | -0.02 | 19% | 1 Jun → | ||
| 13–7 | 0.03 | 19% | 26 May → | ||
| 15–15 | 0.06 | 19% | 26 May → | ||
| 13–2 | 0.05 | 26% | 26 May → | ||
| 8–13 | -0.03 | 27% | 24 May → | ||
| 13–7 | 0.09 | 23% | 22 May → | ||
| 13–6 | -0.00 | 24% | 20 May → | ||
| 13–7 | 0.02 | 22% | 15 May → | ||
| 4–13 | -0.04 | 9% | 13 May → | ||
| 4–13 | -0.09 | 19% | 6 May → | ||
| 13–8 | -0.01 | 10% | 29 Apr → | ||
| 13–2 | -0.00 | 21% | 29 Apr → | ||
| 11–13 | -0.02 | 27% | 29 Apr → | ||
| 16–14 | 0.01 | 22% | 24 Apr → | ||
| 10–13 | 0.00 | 6% | 22 Apr → | ||
| 11–13 | -0.03 | 24% | 18 Apr → | ||
| 13–9 | 0.08 | 17% | 18 Apr → | ||
| 13–7 | 0.02 | 11% | 12 Apr → | ||
| 3–13 | -0.03 | 20% | 12 Apr → | ||
| 13–1 | 0.12 | 16% | 12 Apr → | ||
| 13–8 | 0.07 | 13% | 10 Apr → | ||
| 13–6 | 0.03 | 17% | 9 Apr → | ||
| 6–13 | -0.03 | 21% | 9 Apr → | ||
| 13–6 | 0.04 | 20% | 5 Apr → | ||
| 12–12 | 0.02 | 25% | 5 Apr → | ||
| 9–13 | -0.04 | 6% | 4 Apr → | ||
| 9–13 | 0.04 | 13% | 4 Apr → | ||
| 13–4 | 0.13 | 14% | 4 Apr → | ||
| 16–14 | 0.02 | 24% | 29 Mar → | ||
| 13–1 | 0.03 | 32% | 29 Mar → | ||
| 13–3 | 0.11 | 33% | 28 Mar → | ||
| 13–8 | 0.06 | 27% | 28 Mar → | ||
| 19–17 | 0.01 | 16% | 17 Mar → | ||
| 13–3 | 0.02 | 20% | 17 Mar → | ||
| 13–7 | -0.01 | 9% | 16 Mar → | ||
| 11–13 | -0.01 | 25% | 16 Mar → | ||
| 11–3 | -0.00 | 12% | 15 Mar → | ||
| 13–3 | -0.01 | 37% | 15 Mar → | ||
| 9–13 | 0.04 | 21% | 9 Mar → | ||
| 7–13 | 0.01 | 17% | 9 Mar → | ||
| 22–19 | 0.02 | 17% | 9 Mar → | ||
| 17–19 | 0.03 | 16% | 5 Mar → | ||
| 13–10 | -0.00 | 18% | 5 Mar → | ||
| 13–9 | 0.02 | 14% | 1 Mar → |
Match data via Leetify.
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