msa — CS2 Stats
US76561198066524940[U:1:106259212]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 · +0.06 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 device 89% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: 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. 613ms 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 5.4/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 26 | 9–17 | 35% | -0.01 | |
| B | 17 | 9–8 | 53% | -0.02 | |
| C | 12 | 5–7 | 42% | -0.01 | |
| C | 10 | 4–6 | 40% | -0.00 | |
| D | 9 | 1–8 | 11% | -0.04 | |
| A | 8 | 5–3 | 63% | 0.01 | |
| D | 7 | 1–6 | 14% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 3 | 1–2 | 33% | -0.00 | |
| — | 1 | 0–1 | 0% | -0.04 | |
| stronghold | — | 1 | 1–0 | 100% | -0.04 |
| alpine | — | 1 | 0–1 | 0% | -0.00 |
| warden | — | 1 | 1–0 | 100% | -0.04 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (11% over 9). 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.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 14 | 71% | 0.99 | 15.1 |
| Dust2 | 9 | 56% | 1.03 | 16.2 |
| Inferno | 9 | 44% | 0.98 | 14.7 |
| Anubis | 8 | 38% | 0.87 | 14.6 |
| Ancient | 6 | 33% | 0.73 | 11.3 |
| Nuke | 2 | 50% | 0.84 | 13.5 |
| Vertigo | 1 | 100% | 1.40 | 14.0 |
| Train | 1 | 100% | 0.78 | 14.0 |
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.
11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.04 | 24% | 28 Aug → | ||
| 9–0 | 0.01 | 20% | 28 Aug → | ||
| 13–6 | 0.05 | 26% | 27 Aug → | ||
| 15–15 | 0.03 | 28% | 25 Aug → | ||
| 13–3 | 0.06 | 24% | 25 Aug → | ||
| 13–5 | 0.01 | 23% | 24 Aug → | ||
| 7–13 | 0.01 | 12% | 24 Aug → | ||
| 13–7 | 0.01 | 18% | 24 Aug → | ||
| 15–15 | 0.04 | 41% | 15 Aug → | ||
| 13–4 | 0.09 | 32% | 7 Aug → | ||
| 8–13 | 0.01 | 15% | 7 Aug → | ||
| 13–7 | -0.01 | 23% | 4 Aug → | ||
| 6–13 | -0.05 | 23% | 21 Jul → | ||
| 5–13 | 0.00 | 56% | 21 Jul → | ||
| 1–13 | -0.08 | 53% | 22 Jun → | ||
| 6–13 | 0.01 | 27% | 22 Jun → | ||
| 9–13 | -0.06 | 32% | 21 Jun → | ||
| 13–4 | -0.06 | 24% | 16 Jun → | ||
| 13–9 | -0.03 | 24% | 10 Jun → | ||
| 13–7 | -0.02 | 17% | 10 Jun → | ||
| 4–13 | 0.01 | 26% | 7 Jun → | ||
| 4–13 | -0.03 | 24% | 7 Jun → | ||
| 12–12 | 0.09 | 26% | 3 Jun → | ||
| 4–13 | -0.05 | 38% | 2 Jun → | ||
| 6–13 | 0.00 | 10% | 29 May → | ||
| 13–2 | 0.21 | 25% | 28 May → | ||
| 7–13 | -0.01 | 19% | 25 May → | ||
| 6–6 | 0.01 | 25% | 25 May → | ||
| 2–13 | -0.05 | 33% | 23 May → | ||
| 13–9 | -0.00 | 25% | 23 May → | ||
| 3–13 | -0.05 | 50% | 21 May → | ||
| 13–6 | 0.03 | 29% | 21 May → | ||
| 13–10 | 0.09 | 33% | 17 May → | ||
| 11–13 | 0.03 | 27% | 17 May → | ||
| 13–10 | -0.08 | 21% | 15 May → | ||
| 6–13 | -0.05 | 32% | 10 May → | ||
| 13–8 | 0.02 | 24% | 10 May → | ||
| 1–13 | -0.05 | 26% | 9 May → | ||
| 7–13 | -0.08 | 23% | 9 May → | ||
| 12–12 | -0.00 | 22% | 7 May → | ||
| 13–9 | -0.01 | 21% | 30 Apr → | ||
| 10–13 | 0.01 | 32% | 29 Apr → | ||
| 13–4 | -0.06 | 50% | 29 Apr → | ||
| 3–13 | -0.07 | 50% | 24 Apr → | ||
| 10–13 | -0.04 | 45% | 24 Apr → | ||
| 13–16 | 0.01 | 43% | 23 Apr → | ||
| 13–4 | -0.04 | 25% | 22 Apr → | ||
| 13–11 | 0.00 | 30% | 22 Apr → | ||
| 12–12 | -0.05 | 21% | 13 Apr → | ||
| 13–3 | 0.04 | 22% | 13 Apr → | ||
| 2–7 | -0.06 | 100% | 31 Mar → | ||
| 10–13 | -0.01 | 16% | 24 Mar → | ||
| 2–13 | -0.07 | 6% | 24 Mar → | ||
| 8–13 | -0.06 | 21% | 17 Mar → | ||
| 8–13 | -0.04 | 20% | 1 Mar → | ||
| 2–13 | -0.04 | 27% | 1 Mar → | ||
| 13–10 | -0.07 | 20% | 1 Mar → | ||
| 3–13 | 0.01 | 39% | 25 Feb → | ||
| 13–8 | -0.01 | 30% | 24 Feb → | ||
| 11–13 | -0.03 | 29% | 22 Feb → | ||
| 10–13 | -0.04 | 30% | 22 Feb → | ||
| 10–13 | -0.05 | 27% | 18 Feb → | ||
| 13–2 | 0.01 | 32% | 18 Feb → | ||
| 8–13 | 0.01 | 29% | 17 Feb → | ||
| 13–6 | 0.03 | 28% | 17 Feb → | ||
| 13–10 | -0.01 | 29% | 16 Feb → | ||
| 12–12 | -0.02 | 19% | 15 Feb → | ||
| 13–4 | -0.04 | 21% | 11 Feb → | ||
| 3–13 | -0.03 | 25% | 11 Feb → | ||
| 11–13 | -0.00 | 30% | 11 Feb → | ||
| 13–7 | 0.03 | 39% | 1 Feb → | ||
| 13–10 | 0.01 | 31% | 1 Feb → | ||
| stronghold | 13–8 | -0.04 | 36% | 1 Feb → | |
| alpine | 8–13 | -0.00 | 34% | 29 Jan → | |
| warden | 13–7 | -0.04 | 23% | 29 Jan → | |
| 5–13 | -0.09 | 24% | 16 Jan → | ||
| 13–1 | -0.01 | 32% | 11 Jan → | ||
| 13–9 | 0.07 | 26% | 7 Jan → | ||
| 13–8 | 0.10 | 21% | 6 Jan → | ||
| 7–13 | -0.03 | 23% | 6 Jan → | ||
| 8–13 | 0.03 | 50% | 6 Jan → | ||
| 6–13 | -0.03 | 41% | 5 Jan → | ||
| 13–7 | 0.01 | 24% | 5 Jan → | ||
| 2–0 | 0.01 | 100% | 5 Jan → | ||
| 5–13 | 0.02 | 31% | 4 Jan → | ||
| 12–12 | 0.01 | 24% | 4 Jan → | ||
| 13–4 | 0.03 | 23% | 4 Jan → | ||
| 12–12 | -0.04 | 26% | 26 Dec → | ||
| 4–13 | -0.08 | 38% | 26 Dec → | ||
| 13–10 | 0.00 | 42% | 20 Dec → | ||
| 9–13 | -0.05 | 21% | 19 Dec → | ||
| 11–13 | 0.02 | 36% | 19 Dec → | ||
| 13–8 | 0.00 | 30% | 19 Dec → | ||
| 5–13 | -0.07 | 23% | 17 Dec → | ||
| 5–13 | -0.08 | 29% | 17 Dec → | ||
| 13–6 | -0.04 | 38% | 15 Dec → | ||
| 12–12 | -0.05 | 24% | 15 Dec → | ||
| 7–13 | 0.03 | 33% | 9 Dec → | ||
| 6–13 | -0.03 | 25% | 9 Dec → | ||
| 4–13 | -0.01 | 25% | 6 Dec → |
Match data via Leetify.