Vgang96

Vgang96 — CS2 Stats

76561198277772967[U:1:317507239]Steam profile ↗✓ No bans

841Tracked matches37%Win rate2022Tracked since
CSDB Rating2.3 LearningSupport
FaceitLevel 2 · 600 ELOTop 97.9% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 3,008 +322 14 Mar – 9 May · 5 days played
2,6863,427peak 3,42714 Mar9 May
3,548Peak Premier in tracked matches
600Highest Faceit ELO seen on CSDB
47Days played since 2025-02-22

Faceit ELO

  • At peak — 600
  • Next: Level 3 at 751 — 151 to go
  • Reached: Level 2

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGVgang96FACEITLevel 2 · 600 ELOSTANDINGTop 97.9% of rankedPEAK ELO600csdb.gg/stats

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Performance scores

Aim22
Positioning25
Utility38

0–100 skill scores via Leetify.

Recent form

COLD47–53Last 10047%Win rateLWLLLLLLWL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · +29ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 737ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 762ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 747ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim2.2
Utility3.8
Positioning2.5
Opening Duels0.0
Clutch0.0

Effective flashesLimited utility dependence

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

Twistzz

Plays most like Twistzz 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 748ms 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

Aim2.2
Positioning2.5
Utility3.8
Mechanics4.9
Opening Duels0.0
Win Impact0.6

Composite 2.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time748ms−27ms
first ⅓ avg 775ms → last ⅓ avg 748ms
Headshot accuracy12.4%−3.0%
first ⅓ avg 15.4% → last ⅓ avg 12.4%

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

0.31Best match rating · 9–2 · vertigo, 24 Aug →
33%Best headshot accuracy · 9–1 · office, 21 May →
484msFastest reaction time · 2–13 · nuke, 19 Jan →
13–3Biggest win · mirage, 12 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%0.02
infernoB199–1047%-0.01
mirageC146–843%-0.04
dust2D102–820%-0.05
trainB84–450%-0.04
vertigoS54–180%0.03
ancient—41–325%-0.01
overpass—43–175%-0.01
office—42–250%-0.04
cache—21–150%-0.05
dogtown—21–150%0.05
grail—22–0100%-0.05
anubis—21–150%-0.06
golden—11–0100%-0.08
brewery—10–10%-0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches
42%Win rate
0.51Avg K/D
52.3ADR
41%Headshot %

Clutches & streaks

18%1v1 clutch win
8%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke2669%0.6710.5
Inferno2544%0.437.4
Anubis1429%0.458.4
Mirage1315%0.467.5
Train667%0.689.7
Ancient425%0.7010.8
Overpass333%0.446.3
Dust2333%0.619.7

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.

11.3%Headshot accuracy
28.3%Accuracy (enemy spotted)
31.5%Spray accuracy
72.0%Counter-strafing
11.5°Preaim
748msReaction time
18.8%T opening success
25.6%CT opening success
0.84Enemies flashed / flash
1.8%Flash assists
9.21HE damage / grenade
3.16Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.2872% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 748.4247ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.1635 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.100%20 Oct →
inferno13–11-0.047%20 Oct →
mirage13–16-0.0613%15 Oct →
dust27–13-0.0612%6 Oct →
dust25–13-0.0717%3 Oct →
dust28–13-0.0711%3 Oct →
inferno6–13-0.082%18 Sept →
inferno5–13-0.0417%18 Sept →
mirage13–8-0.084%21 Jul →
nuke9–13-0.0319%21 Jul →
inferno6–13-0.0811%20 Jul →
mirage13–3-0.0712%12 Jul →
dust24–13-0.0925%12 Jul →
cache13–7-0.014%9 Jul →
nuke13–16-0.0320%6 Apr →
inferno13–4-0.1115%6 Apr →
ancient10–13-0.0211%6 Apr →
nuke9–13-0.049%1 Apr →
mirage14–16-0.0511%29 Mar →
mirage13–6-0.055%7 Mar →
inferno13–7-0.0514%7 Mar →
nuke2–13-0.043%19 Jan →
overpass13–10-0.017%19 Jan →
mirage11–13-0.0415%19 Jan →
nuke13–100.0314%30 Dec →
overpass3–13-0.0511%29 Dec →
mirage13–5-0.043%29 Dec →
inferno6–13-0.0714%19 Dec →
nuke11–13-0.0619%2 Dec →
golden13–10-0.087%27 Oct →
inferno6–90.0632%31 Aug →
nuke11–5-0.0025%31 Aug →
nuke9–30.2623%28 Aug →
nuke9–20.2515%28 Aug →
nuke2–9-0.0313%27 Aug →
dust211–13-0.0115%27 Aug →
nuke9–20.1526%26 Aug →
nuke9–70.067%26 Aug →
inferno9–50.1815%26 Aug →
inferno7–9-0.0815%26 Aug →
inferno9–30.1320%25 Aug →
overpass9–30.0925%25 Aug →
dogtown9–60.1312%25 Aug →
vertigo9–20.315%24 Aug →
nuke6–9-0.034%24 Aug →
inferno3–9-0.0615%24 Aug →
inferno9–20.2820%24 Aug →
nuke5–90.0314%24 Aug →
inferno6–90.0717%24 Aug →
nuke9–40.1719%24 Aug →
mirage10–13-0.019%30 Jul →
train13–7-0.0814%30 Jul →
nuke13–4-0.0111%22 Jun →
office13–110.0314%1 Jun →
grail13–60.0113%1 Jun →
dust211–130.0222%1 Jun →
nuke8–130.0013%29 May →
anubis11–13-0.0711%27 May →
brewery2–9-0.1417%22 May →
dogtown4–9-0.0217%22 May →
vertigo13–4-0.0011%21 May →
office9–1-0.0533%21 May →
ancient9–13-0.0416%9 May →
grail3–2-0.1125%9 May →
nuke4–13-0.0513%9 May →
mirage5–13-0.098%26 Apr →
train13–8-0.0519%21 Apr →
nuke5–13-0.0115%20 Apr →
train4–13-0.0425%20 Apr →
train13–6-0.0111%17 Apr →
vertigo13–3-0.0223%17 Apr →
nuke13–110.0313%17 Apr →
dust210–13-0.0413%12 Apr →
ancient13–50.009%12 Apr →
anubis13–4-0.0517%12 Apr →
inferno5–2-0.0311%12 Apr →
train13–10-0.0214%12 Apr →
inferno13–8-0.0212%12 Apr →
nuke6–13-0.0616%31 Mar →
mirage4–13-0.0215%29 Mar →
mirage1–13-0.0925%29 Mar →
dust213–4-0.0522%15 Mar →
office11–13-0.044%15 Mar →
mirage13–4-0.026%15 Mar →
mirage4–13-0.0312%15 Mar →
mirage13–40.0713%14 Mar →
inferno13–9-0.059%14 Mar →
vertigo13–5-0.0921%14 Mar →
overpass13–7-0.0817%14 Mar →
office4–13-0.088%9 Mar →
train11–13-0.0122%9 Mar →
nuke13–10-0.0711%9 Mar →
inferno6–13-0.0624%9 Mar →
train4–13-0.0321%2 Mar →
dust29–13-0.1126%2 Mar →
vertigo9–13-0.0711%1 Mar →
train9–13-0.0923%25 Feb →
inferno7–13-0.0511%25 Feb →
ancient6–13-0.0121%22 Feb →
dust213–8-0.019%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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