vsm — CS2 Stats
PRO“V$M”paiN GamingBrazilRiflerSettings & gear profile →
76561198011732823[U:1:51467095]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: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Sharp aimerStrong CT-side opener
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 93% playstyle similarity
Most alike: utility contribution, positioning profile.
Where you differ: higher 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
Strengths
Aim. Aim score of 91 — the mechanical foundation is a clear strength.
CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.
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 62% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.
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 6.7/10 (Solid), 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 |
|---|---|---|---|---|---|
| S | 31 | 20–11 | 65% | 0.01 | |
| A | 16 | 9–7 | 56% | -0.01 | |
| C | 15 | 6–9 | 40% | -0.01 | |
| C | 14 | 6–8 | 43% | -0.00 | |
| C | 13 | 5–8 | 38% | -0.01 | |
| S | 7 | 5–2 | 71% | -0.00 | |
| — | 4 | 0–4 | 0% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Overpass 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 resultsLLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 502 | 60% | 1.34 | 18.6 |
| Dust2 | 287 | 62% | 1.35 | 18.8 |
| Nuke | 264 | 63% | 1.36 | 17.9 |
| Ancient | 213 | 61% | 1.35 | 19.0 |
| Anubis | 95 | 59% | 1.43 | 19.9 |
| Inferno | 64 | 56% | 1.31 | 17.9 |
| Vertigo | 26 | 58% | 1.42 | 17.6 |
| Overpass | 21 | 76% | 1.49 | 19.1 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Inventory
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 28.3934% — 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.
38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 6–13 | -0.05 | 18% | 26 Aug → | ||
| 2–13 | -0.09 | 27% | 26 Aug → | ||
| 4–13 | -0.07 | 14% | 16 Aug → | ||
| 10–13 | -0.05 | 24% | 16 Aug → | ||
| 13–7 | -0.01 | 14% | 15 Aug → | ||
| 12–16 | -0.01 | 30% | 15 Aug → | ||
| 13–3 | 0.04 | 17% | 15 Aug → | ||
| 3–13 | -0.02 | 26% | 12 Aug → | ||
| 12–16 | 0.07 | 22% | 11 Aug → | ||
| 13–10 | 0.07 | 27% | 31 Jul → | ||
| 17–19 | -0.02 | 31% | 31 Jul → | ||
| 14–16 | 0.01 | 27% | 31 Jul → | ||
| 16–14 | -0.01 | 19% | 26 Jul → | ||
| 13–6 | 0.08 | 31% | 26 Jul → | ||
| 13–11 | -0.01 | 36% | 23 Jul → | ||
| 13–6 | 0.01 | 12% | 23 Jul → | ||
| 4–13 | -0.06 | 25% | 16 Jul → | ||
| 10–13 | 0.03 | 17% | 16 Jul → | ||
| 5–13 | -0.05 | 30% | 15 Jul → | ||
| 5–13 | -0.01 | 20% | 15 Jul → | ||
| 13–8 | -0.02 | 23% | 15 Jul → | ||
| 11–13 | -0.04 | 30% | 12 Jul → | ||
| 7–13 | 0.04 | 27% | 12 Jul → | ||
| 13–2 | 0.08 | 23% | 10 Jul → | ||
| 6–13 | -0.04 | 28% | 10 Jul → | ||
| 13–9 | 0.00 | 28% | 10 Jul → | ||
| 13–4 | 0.07 | 30% | 9 Jul → | ||
| 13–4 | 0.07 | 20% | 9 Jul → | ||
| 11–13 | -0.04 | 26% | 9 Jun → | ||
| 5–13 | -0.02 | 20% | 9 Jun → | ||
| 13–4 | 0.03 | 29% | 8 Jun → | ||
| 13–11 | 0.01 | 27% | 8 Jun → | ||
| 13–10 | -0.01 | 16% | 7 Jun → | ||
| 13–7 | -0.02 | 23% | 7 Jun → | ||
| 9–13 | -0.03 | 12% | 6 Jun → | ||
| 9–13 | -0.01 | 26% | 6 Jun → | ||
| 7–13 | 0.01 | 28% | 22 May → | ||
| 4–13 | 0.00 | 41% | 22 May → | ||
| 13–5 | 0.05 | 31% | 21 May → | ||
| 13–6 | -0.01 | 24% | 21 May → | ||
| 8–13 | 0.02 | 31% | 21 May → | ||
| 13–4 | 0.05 | 38% | 21 May → | ||
| 8–13 | -0.11 | 42% | 20 May → | ||
| 11–2 | -0.06 | 11% | 15 May → | ||
| 2–4 | -0.05 | 8% | 15 May → | ||
| 6–13 | -0.06 | 13% | 15 May → | ||
| 8–13 | -0.01 | 30% | 15 May → | ||
| 13–6 | -0.04 | 27% | 13 May → | ||
| 5–7 | -0.04 | 24% | 13 May → | ||
| 6–6 | -0.06 | 27% | 13 May → | ||
| 5–13 | -0.06 | 23% | 13 May → | ||
| 1–0 | 0.00 | 0% | 12 May → | ||
| 2–4 | 0.03 | 11% | 12 May → | ||
| 13–10 | -0.01 | 15% | 12 May → | ||
| 12–4 | 0.00 | 22% | 12 May → | ||
| 5–10 | -0.03 | 40% | 12 May → | ||
| 5–3 | -0.04 | 30% | 12 May → | ||
| 13–8 | -0.00 | 25% | 11 May → | ||
| 13–7 | 0.04 | 25% | 5 Apr → | ||
| 13–6 | 0.04 | 19% | 5 Apr → | ||
| 13–4 | 0.10 | 24% | 5 Apr → | ||
| 11–13 | -0.01 | 21% | 5 Apr → | ||
| 13–5 | -0.00 | 38% | 4 Apr → | ||
| 4–13 | -0.02 | 38% | 4 Apr → | ||
| 13–8 | 0.02 | 38% | 4 Apr → | ||
| 13–8 | -0.02 | 17% | 4 Apr → | ||
| 6–13 | -0.01 | 35% | 1 Apr → | ||
| 16–13 | 0.01 | 22% | 1 Apr → | ||
| 13–7 | -0.03 | 16% | 1 Apr → | ||
| 13–1 | 0.04 | 38% | 1 Apr → | ||
| 13–6 | 0.03 | 26% | 30 Mar → | ||
| 7–13 | -0.07 | 12% | 30 Mar → | ||
| 13–6 | -0.02 | 33% | 30 Mar → | ||
| 9–13 | -0.02 | 25% | 30 Mar → | ||
| 8–13 | -0.02 | 33% | 30 Mar → | ||
| 13–11 | 0.00 | 15% | 29 Mar → | ||
| 13–4 | -0.00 | 21% | 29 Mar → | ||
| 16–13 | -0.02 | 29% | 28 Mar → | ||
| 13–11 | 0.05 | 23% | 28 Mar → | ||
| 11–13 | -0.01 | 18% | 27 Mar → | ||
| 13–8 | 0.06 | 28% | 27 Mar → | ||
| 13–4 | 0.06 | 28% | 27 Mar → | ||
| 6–13 | -0.01 | 17% | 9 Mar → | ||
| 8–13 | -0.03 | 21% | 9 Mar → | ||
| 7–13 | -0.01 | 20% | 8 Mar → | ||
| 1–0 | 0.17 | 33% | 8 Mar → | ||
| 8–13 | -0.03 | 30% | 8 Mar → | ||
| 13–5 | 0.06 | 28% | 7 Mar → | ||
| 16–13 | -0.05 | 22% | 7 Mar → | ||
| 13–16 | -0.00 | 15% | 7 Mar → | ||
| 1–1 | -0.00 | 33% | 6 Mar → | ||
| 17–19 | -0.01 | 26% | 6 Mar → | ||
| 16–14 | 0.04 | 32% | 4 Mar → | ||
| 16–12 | 0.04 | 38% | 4 Mar → | ||
| 13–9 | -0.02 | 24% | 3 Mar → | ||
| 10–7 | -0.05 | 20% | 3 Mar → | ||
| 2–4 | 0.04 | 45% | 3 Mar → | ||
| 11–13 | -0.00 | 21% | 2 Mar → | ||
| 15–19 | -0.01 | 19% | 2 Mar → | ||
| 13–8 | 0.01 | 27% | 1 Mar → |
Match data via Leetify.