Vensi — CS2 Stats
CF76561198309018833[U:1:348753105]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.00 avg rating
Player DNA
Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.
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 80% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 669ms 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 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | B | 24 | 13–11 | 54% | 0.01 |
 cache | B | 24 | 13–11 | 54% | -0.01 |
 dust2 | B | 15 | 7–8 | 47% | -0.02 |
 ancient | D | 6 | 1–5 | 17% | -0.03 |
 inferno | D | 6 | 1–5 | 17% | -0.02 |
 train | B | 6 | 3–3 | 50% | 0.02 |
 anubis | C | 5 | 2–3 | 40% | -0.03 |
 nuke | — | 4 | 1–3 | 25% | -0.02 |
 overpass | — | 4 | 2–2 | 50% | 0.02 |
 vertigo | — | 3 | 0–3 | 0% | -0.04 |
| assembly | — | 1 | 0–1 | 0% | -0.11 |
| lake | — | 1 | 0–1 | 0% | 0.00 |
| tuscan | — | 1 | 1–0 | 100% | 0.18 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLWWLW
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.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4855 — below the 0.5 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 32.5672% — 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.
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 | |
|---|---|---|---|---|---|
| dust2 | 14–16 | -0.09 | 14% | 30 Jul → | |
| mirage | 9–13 | -0.04 | 15% | 26 Jul → | |
| cache | 13–8 | -0.02 | 18% | 26 Jul → | |
| dust2 | 13–11 | -0.04 | 24% | 26 Jul → | |
| dust2 | 13–10 | -0.01 | 17% | 26 Jul → | |
| mirage | 13–5 | 0.08 | 18% | 26 Jul → | |
| anubis | 13–8 | -0.07 | 32% | 26 Jul → | |
| anubis | 2–13 | -0.00 | 14% | 19 Jul → | |
| ancient | 14–16 | -0.03 | 17% | 19 Jul → | |
| cache | 13–6 | -0.04 | 31% | 19 Jul → | |
| anubis | 14–16 | -0.01 | 19% | 19 Jul → | |
| ancient | 5–13 | -0.08 | 37% | 19 Jul → | |
| anubis | 4–13 | -0.05 | 15% | 18 Jul → | |
| cache | 13–2 | 0.08 | 22% | 18 Jul → | |
| ancient | 11–13 | -0.04 | 12% | 17 Jul → | |
| nuke | 13–2 | 0.01 | 13% | 17 Jul → | |
| mirage | 4–13 | -0.08 | 19% | 16 Jul → | |
| mirage | 10–13 | -0.05 | 19% | 12 Jul → | |
| ancient | 14–16 | -0.04 | 23% | 12 Jul → | |
| cache | 13–3 | -0.03 | 43% | 12 Jul → | |
| dust2 | 13–4 | -0.02 | 17% | 12 Jul → | |
| mirage | 16–12 | 0.01 | 14% | 12 Jul → | |
| cache | 13–9 | 0.01 | 23% | 12 Jul → | |
| anubis | 13–10 | 0.01 | 16% | 2 Jul → | |
| cache | 12–12 | -0.08 | 20% | 2 Jul → | |
| dust2 | 13–6 | -0.03 | 19% | 22 Jun → | |
| dust2 | 8–13 | -0.06 | 22% | 22 Jun → | |
| dust2 | 13–10 | -0.01 | 30% | 24 May → | |
| cache | 13–8 | 0.01 | 33% | 23 May → | |
| cache | 7–13 | -0.04 | 21% | 23 May → | |
| cache | 13–4 | -0.03 | 22% | 23 May → | |
| inferno | 7–9 | -0.03 | 19% | 15 Jan → | |
| mirage | 13–4 | 0.07 | 14% | 13 Jul → | |
| nuke | 8–13 | -0.02 | 15% | 13 Jul → | |
| assembly | 8–8 | -0.11 | 13% | 13 Jul → | |
| dust2 | 13–2 | 0.08 | 16% | 7 May → | |
| mirage | 13–9 | 0.11 | 16% | 12 Nov → | |
| inferno | 4–13 | -0.05 | 14% | 25 Sept → | |
| lake | 7–9 | 0.00 | 20% | 6 Sept → | |
| ancient | 13–9 | 0.01 | 36% | 5 Sept → | |
| train | 16–11 | 0.07 | 16% | 17 Aug → | |
| mirage | 16–2 | 0.07 | 10% | 17 Aug → | |
| dust2 | 14–16 | 0.02 | 25% | 7 Jun → | |
| mirage | 15–15 | -0.05 | 16% | 29 May → | |
| tuscan | 16–3 | 0.18 | 26% | 15 May → | |
| mirage | 14–16 | 0.06 | 17% | 5 May → | |
| overpass | 16–12 | -0.02 | 19% | 4 May → | |
| mirage | 16–10 | 0.01 | 18% | 4 May → | |
| dust2 | 8–16 | 0.03 | 13% | 4 May → | |
| dust2 | 16–14 | -0.05 | 27% | 3 May → | |
| mirage | 10–16 | -0.01 | 22% | 3 May → | |
| nuke | 10–16 | -0.06 | 17% | 28 Apr → | |
| train | 16–4 | 0.07 | 14% | 28 Apr → | |
| cache | 11–16 | 0.01 | 19% | 28 Apr → | |
| mirage | 15–15 | -0.00 | 21% | 28 Apr → | |
| inferno | 3–16 | -0.06 | 13% | 24 Apr → | |
| cache | 16–14 | 0.05 | 16% | 24 Apr → | |
| cache | 12–16 | -0.04 | 23% | 22 Apr → | |
| mirage | 16–6 | -0.07 | 10% | 22 Apr → | |
| cache | 15–15 | 0.03 | 23% | 22 Apr → | |
| overpass | 16–6 | 0.04 | 10% | 20 Apr → | |
| mirage | 16–6 | -0.01 | 26% | 20 Apr → | |
| overpass | 11–16 | -0.01 | 23% | 14 Apr → | |
| dust2 | 6–16 | -0.06 | 37% | 14 Apr → | |
| cache | 16–5 | 0.04 | 25% | 14 Apr → | |
| mirage | 16–11 | 0.05 | 22% | 14 Apr → | |
| vertigo | 12–16 | -0.01 | 24% | 10 Apr → | |
| mirage | 13–16 | -0.03 | 28% | 10 Apr → | |
| cache | 4–16 | -0.08 | 23% | 9 Apr → | |
| mirage | 16–14 | 0.02 | 13% | 9 Apr → | |
| train | 16–5 | 0.05 | 29% | 8 Apr → | |
| cache | 16–11 | 0.03 | 23% | 8 Apr → | |
| dust2 | 8–16 | -0.01 | 11% | 7 Apr → | |
| cache | 16–13 | -0.06 | 10% | 7 Apr → | |
| inferno | 11–16 | -0.02 | 20% | 7 Apr → | |
| mirage | 16–5 | 0.06 | 25% | 7 Apr → | |
| overpass | 13–16 | 0.06 | 16% | 7 Apr → | |
| cache | 16–11 | 0.09 | 13% | 7 Apr → | |
| mirage | 13–16 | 0.05 | 27% | 7 Apr → | |
| cache | 16–1 | 0.10 | 17% | 3 Apr → | |
| cache | 12–16 | -0.03 | 14% | 25 Mar → | |
| cache | 9–16 | 0.02 | 28% | 23 Mar → | |
| cache | 10–16 | -0.09 | 17% | 21 Mar → | |
| inferno | 16–8 | 0.00 | 21% | 20 Mar → | |
| vertigo | 5–16 | -0.02 | 35% | 19 Mar → | |
| mirage | 11–16 | -0.02 | 8% | 19 Mar → | |
| dust2 | 7–16 | -0.02 | 10% | 17 Mar → | |
| cache | 6–16 | 0.03 | 17% | 12 Mar → | |
| mirage | 15–15 | 0.03 | 23% | 12 Mar → | |
| cache | 5–16 | -0.12 | 29% | 10 Mar → | |
| vertigo | 6–16 | -0.07 | 9% | 10 Mar → | |
| train | 15–15 | -0.05 | 11% | 5 Mar → | |
| nuke | 15–15 | -0.02 | 14% | 5 Mar → | |
| mirage | 16–13 | -0.03 | 19% | 4 Mar → | |
| mirage | 16–14 | 0.02 | 21% | 1 Mar → | |
| ancient | 8–16 | -0.03 | 20% | 1 Mar → | |
| dust2 | 14–16 | 0.04 | 12% | 28 Feb → | |
| train | 9–16 | -0.04 | 11% | 28 Feb → | |
| train | 10–16 | 0.01 | 24% | 27 Feb → | |
| inferno | 20–22 | 0.01 | 19% | 25 Feb → |
Match data via Leetify.
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