Venqz

Venqz — CS2 Stats

DE76561198061256658[U:1:100990930]Steam profile ↗✓ No bans

756Tracked matches50%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
CSDB Leaderboard#6099 of 247904 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (31 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,730 → 2,730
+15Tracked matches · now 756
−3.6ppWin rate · 53.6% → 50.0%

Rating over time

Premier CS Rating: 26,957 +6,489 2 Nov – 31 Aug · 16 days played
20,46827,059peak 27,0592 Nov31 Aug
27,059Peak Premier in tracked matches
2,730Highest Faceit ELO seen on CSDB
52Days played since 2025-11-02

Faceit ELO

  • At peak — 2,730
  • Next: 3,000 ELO at 3,000 — 270 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-31
  • Level 10 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGVenqzPEAK ELO2,730csdb.gg/stats

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Performance scores

Aim87
Positioning55
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY58–38–4Last 10058%Win rateLWWLWTWLLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · −34ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 556ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 532ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 549ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.7
Utility4.6
Positioning5.5
Opening Duels2.6
Clutch3.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 96% playstyle similarity

Most alike: aim profile, 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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 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 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7
Positioning5.5
Utility4.6
Mechanics7.5
Opening Duels1.9
Win Impact5.0

Composite 6.3/10 (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

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time568ms−17ms
first ⅓ avg 585ms → last ⅓ avg 568ms
Headshot accuracy26.3%+2.3%
first ⅓ avg 24.0% → last ⅓ avg 26.3%

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.

Personal bests

0.19Best match rating · 9–0 · dust2, 26 Feb →
54%Best headshot accuracy · 13–6 · dust2, 3 Dec →
406msFastest reaction time · 13–10 · ancient, 22 Feb →
13–1Biggest win · overpass, 27 Feb →

Across the last 100 tracked matches.

Highlights

10Longest win streak
10–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 79% over 14infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB2110–1148%0.02
dust2A1912–763%0.05
overpassS1411–379%0.02
infernoC114–736%0.00
nukeS107–370%0.01
anubisC94–544%0.01
cacheS64–267%0.05
mirage—42–250%0.05
office—22–0100%-0.02
alpine—20–20%0.05
vertigo—11–0100%0.12
stronghold—11–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

854Matches
56%Win rate
1.28Avg K/D
81.7ADR
52%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8158%1.1815.2
Inferno7347%1.2017.1
Dust25052%1.2216.5
Overpass4562%1.3617.5
Nuke3057%1.2816.5
Anubis2060%1.1117.8
Mirage1650%1.2915.6
Train2100%1.5720.0

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.

26.1%Headshot accuracy
37.0%Accuracy (enemy spotted)
40.3%Spray accuracy
83.6%Counter-strafing
9.3°Preaim
564msReaction time
28.2%T opening success
45.4%CT opening success
0.53Enemies flashed / flash
8.9%Flash assists
7.49HE damage / grenade
10.42Flashes / match

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.

  1. 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 28.1635% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0619%28 Sept →
office13–60.0427%28 Sept →
mirage13–70.0423%31 Aug →
ancient11–130.0127%29 Aug →
dust213–20.1024%27 Aug →
anubis15–15-0.0419%24 Aug →
ancient13–30.0940%24 Aug →
ancient11–130.0127%22 Aug →
inferno8–130.0341%9 Aug →
inferno3–13-0.0019%9 Aug →
ancient3–13-0.0622%27 Jul →
anubis11–13-0.0215%26 Jul →
anubis3–13-0.0531%26 Jul →
nuke15–150.0126%22 Jul →
cache16–120.0147%22 Jul →
ancient16–130.0527%21 Jul →
ancient13–110.0924%21 Jul →
anubis9–13-0.0336%20 Jul →
ancient7–130.0314%18 Jul →
ancient13–50.1521%18 Jul →
dust211–130.0023%18 Jul →
cache13–90.0927%18 Jul →
anubis13–40.0238%17 Jul →
cache13–50.1135%17 Jul →
nuke16–140.0314%16 Jul →
cache10–130.0929%16 Jul →
dust213–60.1036%14 Jul →
ancient8–13-0.0913%14 Jul →
inferno13–5-0.0328%14 Jul →
ancient14–16-0.0420%13 Jul →
nuke13–90.0136%7 Jul →
ancient13–40.0328%6 Jul →
overpass16–13-0.0116%25 Jun →
vertigo13–80.1232%10 Jun →
nuke14–16-0.0416%6 Jun →
cache13–110.0828%17 May →
dust27–130.0517%15 Mar →
dust213–160.0932%14 Mar →
ancient13–80.0612%14 Mar →
ancient13–80.0526%14 Mar →
nuke13–70.0320%8 Mar →
inferno13–100.0020%8 Mar →
ancient6–13-0.0916%3 Mar →
ancient10–13-0.0114%27 Feb →
overpass13–10.0316%27 Feb →
dust212–120.0717%27 Feb →
ancient8–130.0417%27 Feb →
dust24–13-0.0327%27 Feb →
anubis13–110.0617%27 Feb →
dust29–00.1933%26 Feb →
dust213–10-0.0124%26 Feb →
ancient13–110.0925%25 Feb →
office13–5-0.0827%24 Feb →
nuke13–110.0314%24 Feb →
anubis13–60.0430%24 Feb →
dust213–80.0532%24 Feb →
overpass13–70.0821%22 Feb →
ancient13–100.0017%22 Feb →
inferno7–13-0.0419%21 Feb →
overpass13–60.0013%21 Feb →
inferno13–7-0.0211%21 Feb →
nuke13–90.0230%21 Feb →
alpine10–130.1130%20 Feb →
stronghold13–8-0.0322%20 Feb →
inferno10–130.0126%20 Feb →
ancient9–130.0422%20 Feb →
dust213–70.0322%20 Feb →
dust26–13-0.0227%10 Feb →
alpine7–13-0.0115%8 Feb →
dust213–50.0424%31 Jan →
dust22–13-0.0628%31 Jan →
overpass13–100.0118%25 Jan →
anubis13–110.0916%25 Jan →
inferno9–130.0219%24 Jan →
overpass14–160.0124%24 Jan →
anubis2–130.0432%24 Jan →
dust213–70.0915%22 Jan →
dust213–80.0229%18 Jan →
overpass13–90.1021%18 Jan →
nuke7–13-0.0222%18 Jan →
dust213–110.0418%18 Jan →
overpass13–110.0620%18 Jan →
inferno12–120.0528%12 Jan →
overpass13–100.1323%3 Jan →
inferno11–13-0.0528%16 Dec →
ancient6–130.0230%6 Dec →
overpass11–13-0.0019%3 Dec →
nuke13–80.0217%3 Dec →
dust213–60.1354%3 Dec →
mirage11–13-0.0319%27 Nov →
ancient13–80.0127%27 Nov →
overpass13–10-0.0622%17 Nov →
inferno13–80.0423%17 Nov →
overpass13–11-0.0024%16 Nov →
mirage13–50.1624%16 Nov →
overpass11–13-0.0614%10 Nov →
dust213–70.0230%10 Nov →
nuke13–5-0.0139%8 Nov →
overpass9–6-0.0118%2 Nov →
mirage6–130.0327%2 Nov →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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