Venomisz — CS2 Stats
76561198194003285[U:1:233737557]
How this compares with the same rank
Median values for Level 5 among CSDB-tracked players (n=918), 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 5 median | Level 6 median | vs Level 6 |
|---|---|---|---|---|
| Headshot rate | 41.6% | 44.2% | 44.9% | 3.2% short |
| Shot accuracy | 7.4% | 11.2% | 11.8% | 4.5% short |
| Kill/death ratio | 0.99 | 1.04 | 1.04 | 0.05 short |
| Match win rate | 41.6% | 45.3% | 45.3% | 3.7% short |
This profile sits below the typical Level 6 player on every metric we can compare.
Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
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 92% playstyle similarity
Most alike: opening-fight frequency, 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 →
CSDB Rating breakdown
Composite 6.9/10 (Solid), 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 |
|---|---|---|---|---|---|
 inferno | B | 22 | 11–11 | 50% | 0.01 |
 ancient | A | 19 | 11–8 | 58% | 0.01 |
 dust2 | C | 16 | 7–9 | 44% | -0.02 |
 cache | S | 12 | 9–3 | 75% | 0.00 |
 anubis | A | 11 | 6–5 | 55% | 0.01 |
 mirage | D | 11 | 3–8 | 27% | -0.03 |
 nuke | A | 7 | 4–3 | 57% | -0.02 |
 overpass | — | 2 | 2–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage 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 resultsWLLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 13 | 62% | 1.27 | 19.3 |
| Anubis | 6 | 83% | 1.05 | 15.8 |
| Dust2 | 6 | 33% | 1.15 | 17.7 |
| Inferno | 6 | 83% | 1.22 | 18.2 |
| Overpass | 5 | 60% | 1.38 | 22.6 |
| Ancient | 3 | 0% | 1.10 | 20.0 |
| Cache | 2 | 50% | 0.76 | 13.0 |
| Nuke | 2 | 50% | 0.83 | 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.
27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 11–13 | -0.01 | 16% | 29 Aug → | |
| inferno | 13–5 | 0.05 | 16% | 29 Aug → | |
| anubis | 7–13 | -0.00 | 8% | 28 Aug → | |
| ancient | 10–13 | 0.07 | 20% | 28 Aug → | |
| inferno | 11–13 | -0.03 | 12% | 27 Aug → | |
| inferno | 16–13 | -0.01 | 21% | 26 Aug → | |
| inferno | 13–11 | -0.03 | 23% | 26 Aug → | |
| inferno | 13–8 | 0.09 | 13% | 25 Aug → | |
| anubis | 13–4 | 0.03 | 15% | 25 Aug → | |
| anubis | 13–10 | -0.04 | 12% | 25 Aug → | |
| ancient | 10–5 | 0.13 | 26% | 24 Aug → | |
| dust2 | 13–9 | 0.04 | 18% | 24 Aug → | |
| cache | 16–13 | 0.02 | 27% | 23 Aug → | |
| dust2 | 16–12 | 0.02 | 26% | 23 Aug → | |
| nuke | 16–14 | -0.01 | 14% | 23 Aug → | |
| inferno | 13–6 | 0.07 | 23% | 22 Aug → | |
| ancient | 13–10 | 0.02 | 12% | 22 Aug → | |
| ancient | 11–13 | -0.01 | 17% | 21 Aug → | |
| inferno | 5–13 | 0.01 | 33% | 21 Aug → | |
| dust2 | 2–13 | -0.00 | 24% | 20 Aug → | |
| inferno | 10–13 | 0.08 | 17% | 20 Aug → | |
| cache | 13–7 | 0.05 | 15% | 19 Aug → | |
| nuke | 13–8 | 0.01 | 23% | 18 Aug → | |
| mirage | 13–6 | -0.01 | 10% | 18 Aug → | |
| mirage | 13–7 | 0.01 | 16% | 17 Aug → | |
| anubis | 6–13 | 0.06 | 15% | 17 Aug → | |
| ancient | 13–4 | 0.07 | 19% | 16 Aug → | |
| inferno | 7–13 | -0.03 | 11% | 16 Aug → | |
| cache | 13–9 | 0.02 | 16% | 16 Aug → | |
| anubis | 13–10 | 0.03 | 24% | 15 Aug → | |
| inferno | 13–10 | 0.03 | 13% | 15 Aug → | |
| dust2 | 11–13 | 0.01 | 29% | 13 Aug → | |
| mirage | 7–13 | 0.03 | 22% | 13 Aug → | |
| dust2 | 14–16 | -0.03 | 16% | 13 Aug → | |
| mirage | 13–11 | -0.02 | 11% | 13 Aug → | |
| inferno | 15–15 | -0.04 | 14% | 12 Aug → | |
| ancient | 13–11 | 0.00 | 22% | 12 Aug → | |
| cache | 13–7 | 0.03 | 29% | 7 Aug → | |
| inferno | 10–13 | -0.01 | 26% | 5 Aug → | |
| dust2 | 13–5 | 0.02 | 19% | 5 Aug → | |
| inferno | 11–13 | 0.01 | 15% | 5 Aug → | |
| mirage | 8–13 | 0.00 | 22% | 4 Aug → | |
| anubis | 11–13 | 0.03 | 17% | 3 Aug → | |
| ancient | 5–13 | -0.03 | 9% | 3 Aug → | |
| mirage | 11–13 | -0.02 | 18% | 1 Aug → | |
| mirage | 10–13 | -0.02 | 26% | 1 Aug → | |
| inferno | 13–4 | -0.08 | 19% | 1 Aug → | |
| cache | 13–8 | 0.01 | 17% | 1 Aug → | |
| anubis | 9–13 | 0.02 | 14% | 1 Aug → | |
| ancient | 13–9 | 0.02 | 13% | 1 Aug → | |
| cache | 13–11 | -0.01 | 20% | 31 Jul → | |
| inferno | 15–15 | 0.05 | 17% | 31 Jul → | |
| inferno | 13–2 | 0.05 | 11% | 29 Jul → | |
| ancient | 16–12 | -0.01 | 14% | 28 Jul → | |
| cache | 13–11 | -0.00 | 10% | 28 Jul → | |
| mirage | 6–13 | -0.08 | 8% | 27 Jul → | |
| dust2 | 4–13 | 0.00 | 16% | 26 Jul → | |
| nuke | 7–13 | -0.04 | 15% | 26 Jul → | |
| dust2 | 11–13 | -0.05 | 12% | 21 Jul → | |
| ancient | 13–4 | 0.02 | 19% | 21 Jul → | |
| cache | 9–13 | -0.01 | 19% | 21 Jul → | |
| dust2 | 3–13 | -0.11 | 18% | 20 Jul → | |
| mirage | 8–13 | -0.04 | 17% | 20 Jul → | |
| dust2 | 11–13 | 0.04 | 18% | 20 Jul → | |
| ancient | 13–10 | -0.01 | 13% | 20 Jul → | |
| anubis | 13–6 | -0.00 | 8% | 19 Jul → | |
| ancient | 11–13 | -0.01 | 6% | 19 Jul → | |
| dust2 | 1–13 | -0.06 | 29% | 17 Jul → | |
| inferno | 8–13 | 0.01 | 29% | 17 Jul → | |
| ancient | 12–16 | -0.03 | 14% | 17 Jul → | |
| ancient | 10–13 | -0.02 | 16% | 14 Jul → | |
| dust2 | 13–11 | -0.01 | 17% | 14 Jul → | |
| inferno | 13–11 | -0.07 | 26% | 13 Jul → | |
| anubis | 13–9 | 0.04 | 19% | 13 Jul → | |
| cache | 9–13 | -0.03 | 19% | 13 Jul → | |
| nuke | 13–6 | 0.06 | 30% | 12 Jul → | |
| cache | 11–13 | 0.01 | 16% | 12 Jul → | |
| nuke | 10–13 | -0.03 | 22% | 12 Jul → | |
| cache | 13–4 | -0.02 | 9% | 11 Jul → | |
| mirage | 13–16 | -0.03 | 15% | 11 Jul → | |
| anubis | 13–11 | -0.01 | 13% | 11 Jul → | |
| cache | 13–7 | -0.00 | 15% | 9 Jul → | |
| ancient | 8–13 | -0.03 | 18% | 5 Jul → | |
| inferno | 10–13 | -0.01 | 16% | 5 Jul → | |
| nuke | 5–13 | -0.06 | 19% | 5 Jul → | |
| mirage | 4–13 | -0.10 | 17% | 5 Jul → | |
| nuke | 13–11 | -0.04 | 12% | 4 Jul → | |
| dust2 | 3–13 | -0.06 | 13% | 4 Jul → | |
| ancient | 13–8 | 0.01 | 15% | 4 Jul → | |
| ancient | 13–4 | 0.02 | 13% | 4 Jul → | |
| ancient | 11–6 | 0.04 | 9% | 3 Jul → | |
| inferno | 16–14 | 0.06 | 31% | 3 Jul → | |
| inferno | 13–4 | 0.05 | 18% | 3 Jul → | |
| overpass | 13–6 | 0.03 | 10% | 2 Jul → | |
| ancient | 9–13 | -0.05 | 14% | 2 Jul → | |
| dust2 | 13–11 | -0.02 | 18% | 1 Jul → | |
| anubis | 3–13 | -0.05 | 14% | 30 Jun → | |
| overpass | 13–6 | 0.08 | 20% | 30 Jun → | |
| dust2 | 16–13 | -0.02 | 6% | 29 Jun → | |
| dust2 | 13–11 | -0.02 | 9% | 29 Jun → |
Match data via Leetify.
