VØNK — CS2 Stats
76561198188027778[U:1:227762050]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp 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 78% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; 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
Strengths
Flashes. 0.77 enemies blinded per flash — utility that consistently lands.
Areas to improve
T-side openings. Opening success drops from 43% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 616ms 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 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| D | 42 | 14–28 | 33% | -0.03 | |
| C | 23 | 8–15 | 35% | -0.04 | |
| D | 16 | 4–12 | 25% | -0.05 | |
| A | 11 | 7–4 | 64% | -0.03 | |
| — | 4 | 3–1 | 75% | -0.04 | |
| — | 3 | 0–3 | 0% | -0.07 | |
| — | 1 | 0–1 | 0% | -0.06 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno 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 resultsWWWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 26 | 77% | 0.88 | 12.9 |
| Dust2 | 18 | 72% | 0.77 | 11.1 |
| Ancient | 17 | 47% | 0.72 | 12.5 |
| Inferno | 13 | 62% | 0.80 | 13.5 |
| Vertigo | 4 | 100% | 0.83 | 14.8 |
| Anubis | 3 | 67% | 1.07 | 17.3 |
| Train | 1 | 100% | 0.62 | 10.0 |
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
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 →
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.9814 — below the 4 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 22.3425% — 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.
25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.06 | 18% | 28 Aug → | ||
| 13–11 | -0.02 | 14% | 28 Aug → | ||
| 10–13 | 0.02 | 15% | 28 Aug → | ||
| 13–10 | -0.03 | 12% | 28 Aug → | ||
| 13–9 | -0.01 | 15% | 27 Aug → | ||
| 10–13 | -0.04 | 7% | 26 Aug → | ||
| 6–13 | -0.02 | 9% | 26 Aug → | ||
| 9–13 | -0.00 | 22% | 26 Aug → | ||
| 13–11 | 0.01 | 31% | 26 Aug → | ||
| 13–6 | -0.04 | 3% | 24 Aug → | ||
| 6–13 | -0.05 | 27% | 24 Aug → | ||
| 4–13 | -0.09 | 9% | 22 Aug → | ||
| 13–3 | -0.01 | 25% | 22 Aug → | ||
| 16–12 | -0.01 | 10% | 22 Aug → | ||
| 3–13 | -0.03 | 6% | 20 Aug → | ||
| 13–9 | -0.05 | 12% | 20 Aug → | ||
| 13–8 | -0.11 | 19% | 14 Aug → | ||
| 5–13 | 0.02 | 16% | 14 Aug → | ||
| 6–13 | -0.01 | 17% | 9 Aug → | ||
| 13–10 | 0.01 | 13% | 9 Aug → | ||
| 10–13 | -0.01 | 10% | 6 Aug → | ||
| 11–13 | -0.06 | 8% | 6 Aug → | ||
| 16–14 | -0.02 | 8% | 6 Aug → | ||
| 4–13 | -0.07 | 7% | 5 Aug → | ||
| 15–15 | -0.05 | 24% | 3 Aug → | ||
| 12–12 | 0.01 | 17% | 3 Aug → | ||
| 5–13 | -0.09 | 15% | 3 Aug → | ||
| 13–9 | 0.06 | 13% | 22 Mar → | ||
| 9–13 | -0.05 | 32% | 22 Mar → | ||
| 4–13 | -0.03 | 21% | 15 Mar → | ||
| 9–13 | -0.07 | 14% | 15 Mar → | ||
| 7–13 | -0.04 | 28% | 12 Mar → | ||
| 13–8 | -0.04 | 11% | 11 Mar → | ||
| 9–13 | -0.02 | 2% | 11 Mar → | ||
| 4–13 | -0.12 | 4% | 6 Mar → | ||
| 7–13 | -0.08 | 18% | 2 Mar → | ||
| 5–4 | 0.04 | 9% | 2 Mar → | ||
| 1–13 | -0.11 | 11% | 2 Mar → | ||
| 5–12 | -0.07 | 16% | 2 Mar → | ||
| 6–13 | -0.05 | 11% | 2 Mar → | ||
| 4–13 | -0.06 | 13% | 2 Mar → | ||
| 3–13 | -0.02 | 13% | 2 Mar → | ||
| 4–13 | -0.07 | 8% | 2 Mar → | ||
| 13–11 | -0.02 | 15% | 1 Mar → | ||
| 13–3 | 0.00 | 19% | 27 Feb → | ||
| 6–13 | -0.06 | 17% | 27 Feb → | ||
| 8–13 | -0.08 | 22% | 24 Feb → | ||
| 5–13 | -0.04 | 14% | 24 Feb → | ||
| 13–2 | 0.06 | 18% | 23 Feb → | ||
| 8–13 | -0.05 | 18% | 23 Feb → | ||
| 13–11 | -0.03 | 24% | 22 Feb → | ||
| 13–9 | -0.01 | 22% | 22 Feb → | ||
| 13–7 | -0.01 | 11% | 19 Feb → | ||
| 11–13 | -0.03 | 17% | 19 Feb → | ||
| 9–13 | 0.01 | 24% | 19 Feb → | ||
| 11–13 | -0.04 | 11% | 19 Feb → | ||
| 7–13 | -0.06 | 16% | 18 Feb → | ||
| 13–8 | 0.01 | 19% | 18 Feb → | ||
| 8–13 | -0.04 | 40% | 16 Feb → | ||
| 9–13 | -0.06 | 24% | 13 Feb → | ||
| 13–10 | 0.01 | 17% | 13 Feb → | ||
| 13–5 | -0.03 | 27% | 13 Feb → | ||
| 13–9 | -0.02 | 30% | 13 Feb → | ||
| 4–13 | -0.06 | 4% | 13 Feb → | ||
| 13–8 | 0.05 | 24% | 12 Feb → | ||
| 13–10 | -0.04 | 17% | 12 Feb → | ||
| 5–13 | -0.00 | 17% | 12 Feb → | ||
| 3–13 | -0.05 | 18% | 12 Feb → | ||
| 13–6 | 0.04 | 23% | 12 Feb → | ||
| 9–13 | -0.06 | 33% | 11 Feb → | ||
| 13–5 | -0.07 | 13% | 11 Feb → | ||
| 4–13 | -0.07 | 18% | 11 Feb → | ||
| 4–13 | -0.08 | 16% | 11 Feb → | ||
| 13–9 | -0.03 | 24% | 11 Feb → | ||
| 15–15 | -0.05 | 14% | 11 Feb → | ||
| 2–13 | -0.07 | 14% | 11 Feb → | ||
| 13–10 | -0.03 | 17% | 10 Feb → | ||
| 16–14 | -0.04 | 19% | 10 Feb → | ||
| 8–13 | -0.03 | 27% | 10 Feb → | ||
| 13–10 | -0.05 | 13% | 10 Feb → | ||
| 8–1 | -0.05 | 20% | 10 Feb → | ||
| 8–13 | -0.05 | 23% | 10 Feb → | ||
| 6–13 | -0.02 | 15% | 10 Feb → | ||
| 13–9 | -0.03 | 22% | 9 Feb → | ||
| 10–13 | -0.05 | 15% | 9 Feb → | ||
| 10–13 | -0.06 | 18% | 9 Feb → | ||
| 7–13 | -0.05 | 18% | 8 Feb → | ||
| 11–13 | -0.05 | 18% | 8 Feb → | ||
| 5–13 | -0.03 | 18% | 8 Feb → | ||
| 13–5 | -0.01 | 16% | 8 Feb → | ||
| 5–13 | -0.03 | 11% | 8 Feb → | ||
| 1–13 | -0.12 | 11% | 7 Feb → | ||
| 16–14 | -0.01 | 14% | 7 Feb → | ||
| 6–13 | -0.12 | 15% | 6 Feb → | ||
| 5–13 | -0.08 | 18% | 6 Feb → | ||
| 3–13 | -0.05 | 17% | 6 Feb → | ||
| 9–13 | -0.05 | 13% | 6 Feb → | ||
| 15–15 | -0.02 | 14% | 6 Feb → | ||
| 6–13 | -0.03 | 14% | 6 Feb → | ||
| 9–13 | -0.04 | 13% | 6 Feb → |
Match data via Leetify.
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