Vektor_ek_ — CS2 Stats
ZW76561198265069256[U:1:304803528]Steam profile ↗✓ No bans
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 45.0% | 52.0% |
| Shot accuracy | 10.3% | 13.7% |
| Kill/death ratio | 1.02 | 1.08 |
| Match win rate | 43.5% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.01 avg rating
Player DNA
Primary style: Hybrid 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 donk 90% playstyle similarity
Most alike: opening-duel success, utility contribution.
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. 564ms 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 (×1.02 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 |
|---|---|---|---|---|---|
 cache | B | 20 | 10–10 | 50% | 0.01 |
 anubis | D | 19 | 6–13 | 32% | 0.00 |
 nuke | B | 16 | 8–8 | 50% | 0.01 |
 mirage | B | 14 | 7–7 | 50% | 0.01 |
 ancient | B | 10 | 5–5 | 50% | 0.01 |
 dust2 | D | 9 | 3–6 | 33% | 0.00 |
 inferno | D | 6 | 1–5 | 17% | 0.00 |
 overpass | — | 3 | 1–2 | 33% | 0.00 |
 vertigo | — | 2 | 1–1 | 50% | 0.08 |
 train | — | 1 | 1–0 | 100% | 0.13 |
Across the last 100 tracked matches.
Inferno is currently your weakest sufficiently-sampled map (17% over 6). 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 resultsLWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 231 | 52% | 1.18 | 17.9 |
| Anubis | 176 | 53% | 1.26 | 18.8 |
| Ancient | 155 | 41% | 1.15 | 17.7 |
| Nuke | 149 | 59% | 1.24 | 18.0 |
| Dust2 | 104 | 47% | 1.17 | 17.6 |
| Inferno | 103 | 50% | 1.05 | 17.5 |
| Cache | 63 | 54% | 1.29 | 20.8 |
| Vertigo | 35 | 51% | 1.31 | 20.2 |
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.
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 | |
|---|---|---|---|---|---|
| nuke | 6–13 | 0.02 | 15% | 28 Aug → | |
| cache | 10–13 | 0.01 | 17% | 28 Aug → | |
| cache | 5–13 | -0.03 | 17% | 26 Aug → | |
| cache | 4–4 | -0.03 | 29% | 26 Aug → | |
| cache | 13–9 | -0.08 | 12% | 26 Aug → | |
| cache | 5–13 | 0.12 | 26% | 25 Aug → | |
| anubis | 11–13 | 0.03 | 22% | 25 Aug → | |
| ancient | 6–13 | 0.00 | 22% | 17 Aug → | |
| cache | 28–31 | 0.01 | 23% | 17 Aug → | |
| cache | 5–13 | -0.02 | 40% | 12 Aug → | |
| cache | 13–8 | 0.06 | 15% | 11 Aug → | |
| nuke | 13–11 | -0.01 | 22% | 11 Aug → | |
| ancient | 4–13 | -0.03 | 11% | 9 Aug → | |
| anubis | 13–9 | 0.01 | 20% | 9 Aug → | |
| mirage | 13–5 | 0.07 | 19% | 7 Aug → | |
| cache | 6–13 | 0.03 | 24% | 7 Aug → | |
| mirage | 13–11 | 0.01 | 20% | 7 Aug → | |
| cache | 6–7 | -0.00 | 38% | 6 Aug → | |
| mirage | 7–13 | -0.04 | 17% | 5 Aug → | |
| vertigo | 9–13 | 0.04 | 25% | 29 Jul → | |
| nuke | 13–4 | 0.09 | 15% | 29 Jul → | |
| train | 13–6 | 0.13 | 19% | 28 Jul → | |
| anubis | 13–10 | 0.05 | 15% | 28 Jul → | |
| anubis | 4–0 | -0.02 | 100% | 28 Jul → | |
| nuke | 13–9 | -0.03 | 16% | 24 Jul → | |
| nuke | 11–13 | -0.02 | 17% | 24 Jul → | |
| anubis | 6–13 | -0.01 | 16% | 21 Jul → | |
| ancient | 5–13 | -0.01 | 13% | 21 Jul → | |
| dust2 | 13–16 | 0.03 | 17% | 21 Jul → | |
| nuke | 13–16 | 0.07 | 20% | 18 Jul → | |
| anubis | 15–15 | -0.02 | 10% | 18 Jul → | |
| mirage | 13–7 | 0.01 | 16% | 18 Jul → | |
| ancient | 13–11 | -0.01 | 12% | 18 Jul → | |
| nuke | 5–13 | -0.03 | 19% | 18 Jul → | |
| mirage | 11–13 | 0.06 | 17% | 15 Jul → | |
| inferno | 3–13 | 0.03 | 29% | 15 Jul → | |
| anubis | 10–13 | 0.07 | 21% | 15 Jul → | |
| dust2 | 8–13 | -0.03 | 21% | 14 Jul → | |
| cache | 13–7 | -0.00 | 15% | 14 Jul → | |
| cache | 7–13 | -0.04 | 14% | 14 Jul → | |
| cache | 13–10 | -0.06 | 16% | 14 Jul → | |
| mirage | 3–13 | 0.01 | 7% | 14 Jul → | |
| inferno | 13–6 | -0.05 | 26% | 14 Jul → | |
| cache | 5–0 | 0.07 | 21% | 14 Jul → | |
| cache | 2–13 | 0.00 | 21% | 14 Jul → | |
| anubis | 9–13 | 0.00 | 15% | 12 Jul → | |
| cache | 13–10 | 0.03 | 33% | 11 Jul → | |
| anubis | 4–13 | 0.03 | 21% | 11 Jul → | |
| cache | 13–11 | 0.05 | 21% | 11 Jul → | |
| cache | 10–13 | 0.02 | 24% | 11 Jul → | |
| anubis | 1–4 | -0.05 | 20% | 11 Jul → | |
| ancient | 13–10 | -0.04 | 23% | 10 Jul → | |
| mirage | 16–13 | 0.06 | 26% | 10 Jul → | |
| nuke | 13–5 | 0.04 | 31% | 10 Jul → | |
| inferno | 9–13 | 0.06 | 25% | 10 Jul → | |
| anubis | 7–13 | 0.01 | 12% | 9 Jul → | |
| dust2 | 7–13 | 0.03 | 26% | 9 Jul → | |
| anubis | 16–13 | 0.09 | 18% | 9 Jul → | |
| cache | 13–11 | 0.01 | 22% | 9 Jul → | |
| mirage | 13–11 | -0.03 | 10% | 6 Jul → | |
| dust2 | 9–13 | -0.03 | 12% | 6 Jul → | |
| overpass | 13–11 | 0.05 | 16% | 3 Jul → | |
| nuke | 13–5 | 0.06 | 24% | 2 Jul → | |
| nuke | 5–13 | -0.05 | 28% | 1 Jul → | |
| inferno | 8–13 | -0.03 | 20% | 1 Jul → | |
| ancient | 10–13 | -0.00 | 15% | 1 Jul → | |
| overpass | 9–13 | -0.01 | 17% | 1 Jul → | |
| nuke | 5–13 | -0.07 | 5% | 1 Jul → | |
| cache | 16–14 | 0.06 | 13% | 26 Jun → | |
| anubis | 3–13 | -0.03 | 33% | 26 Jun → | |
| overpass | 4–13 | -0.03 | 16% | 24 Jun → | |
| mirage | 8–13 | -0.04 | 24% | 24 Jun → | |
| nuke | 13–9 | 0.02 | 15% | 24 Jun → | |
| nuke | 10–13 | 0.03 | 23% | 23 Jun → | |
| mirage | 7–13 | -0.01 | 20% | 23 Jun → | |
| inferno | 8–13 | 0.03 | 18% | 22 Jun → | |
| nuke | 13–6 | 0.02 | 22% | 22 Jun → | |
| dust2 | 13–3 | -0.02 | 21% | 22 Jun → | |
| anubis | 10–13 | -0.02 | 17% | 20 Jun → | |
| inferno | 8–13 | -0.02 | 20% | 17 Jun → | |
| mirage | 10–13 | 0.07 | 19% | 16 Jun → | |
| mirage | 10–13 | 0.00 | 12% | 13 Jun → | |
| anubis | 13–7 | -0.01 | 19% | 13 Jun → | |
| vertigo | 13–8 | 0.11 | 27% | 12 Jun → | |
| anubis | 13–7 | 0.04 | 18% | 11 Jun → | |
| ancient | 13–4 | 0.06 | 16% | 10 Jun → | |
| dust2 | 13–10 | 0.09 | 17% | 8 Jun → | |
| nuke | 16–14 | 0.01 | 22% | 8 Jun → | |
| ancient | 4–13 | 0.01 | 17% | 5 Jun → | |
| mirage | 16–13 | 0.02 | 26% | 5 Jun → | |
| ancient | 13–11 | 0.07 | 31% | 5 Jun → | |
| nuke | 9–13 | 0.02 | 22% | 4 Jun → | |
| dust2 | 7–13 | -0.03 | 26% | 4 Jun → | |
| dust2 | 0–13 | -0.07 | 0% | 4 Jun → | |
| anubis | 0–13 | -0.02 | 8% | 3 Jun → | |
| dust2 | 13–9 | 0.07 | 18% | 1 Jun → | |
| mirage | 13–11 | -0.04 | 11% | 1 Jun → | |
| anubis | 2–13 | -0.07 | 10% | 1 Jun → | |
| ancient | 13–8 | 0.02 | 22% | 1 Jun → | |
| anubis | 2–13 | -0.02 | 11% | 1 Jun → |
Match data via Leetify.
