Vasooli Bhai

Vasooli Bhai — CS2 Stats

76561199013272538[U:1:1053006810]Steam profile ↗

2,102Tracked matches42%Win rate2020Tracked since
CSDB Rating3.5 Learning
Premier CS Rating7,943Light Blue band · top ~64.7% of ranked players (population est.)
CSDB Leaderboard#24898 of 33233 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGVasooli BhaiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,943 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning44
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateWLLTWTLWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim3.6
Aggression3.9
Utility5.8
Positioning4.4
Opening Duels0.8
Clutch0.0

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

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Reaction time. 638ms 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

Aim3.6
Positioning4.4
Utility5.8
Mechanics4.5
Opening Duels1.3
Win Impact2.4

Composite 3.5/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time648ms+17ms
first ⅓ avg 631ms → last ⅓ avg 648ms
Headshot accuracy14.8%−0.6%
first ⅓ avg 15.4% → last ⅓ avg 14.8%

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

0.08Best rating — ancient 13–10
132Biggest win — mirage
6Longest win streak
147In matches decided by ≤2 rounds
15Overtime games

Map breakdown

ancientBest map · 67% over 15infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageB28131546%-0.01
infernoC2281436%-0.01
ancientS1510567%-0.01
dust2B147750%-0.01
anubisC125742%-0.03
cache31233%-0.02
nuke3030%-0.06
overpass21150%-0.01
rooftop1010%-0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
43%Win rate
0.68Avg K/D
73.8ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.9411.5
Dust21100%1.129.0

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.

15.1%Headshot accuracy
31.3%Accuracy (enemy spotted)
31.1%Spray accuracy
70.4%Counter-strafing
12.4°Preaim
638msReaction time
26.2%T opening success
40.5%CT opening success
0.64Enemies flashed / flash
5.6%Flash assists
11.04HE damage / grenade
9.51Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4129° — above the 12° mark we flag

    Aim Training
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 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–9-0.056%29 Aug
dust27–13-0.049%29 Aug
inferno11–13-0.0215%16 Aug
cache15–150.0316%13 Aug
inferno13–90.0314%13 Aug
mirage15–15-0.0120%9 Aug
mirage9–13-0.0530%9 Aug
inferno16–13-0.0112%9 Aug
inferno3–13-0.0329%8 Aug
anubis13–9-0.029%8 Aug
mirage7–13-0.0215%3 Aug
nuke6–13-0.1018%3 Aug
inferno10–13-0.0910%2 Aug
dust29–130.0336%2 Aug
dust29–13-0.0626%2 Aug
anubis13–80.0221%1 Aug
mirage13–8-0.029%26 Jul
anubis15–15-0.0316%24 Jul
ancient13–110.0315%22 Jul
ancient7–130.029%19 Jul
dust213–100.0419%18 Jul
inferno13–110.039%18 Jul
mirage9–13-0.0410%18 Jul
dust27–13-0.0618%11 Jul
anubis8–13-0.0118%11 Jul
inferno13–40.0112%5 Jul
ancient13–10-0.0412%4 Jul
mirage6–13-0.024%4 Jul
nuke7–13-0.0511%20 Jun
dust215–15-0.037%13 Jun
mirage16–14-0.036%13 Jun
inferno7–130.013%7 Jun
anubis7–13-0.0422%7 Jun
dust213–8-0.0119%7 Jun
anubis4–13-0.079%30 May
inferno13–160.0411%30 May
anubis5–13-0.0610%30 May
inferno13–9-0.0023%29 May
inferno9–13-0.090%27 May
mirage10–13-0.0920%25 May
inferno13–80.0312%24 May
inferno11–13-0.0415%23 May
mirage13–11-0.0017%23 May
mirage13–20.0417%23 May
anubis13–10-0.0415%23 May
nuke5–13-0.0418%23 May
ancient13–9-0.0311%23 May
inferno6–13-0.083%23 May
ancient13–5-0.0518%22 May
anubis13–9-0.035%17 May
ancient11–130.0315%16 May
inferno14–16-0.0414%16 May
overpass10–13-0.0410%14 May
ancient13–100.0814%10 May
mirage13–70.0526%9 May
anubis11–13-0.0514%4 May
inferno9–130.0020%4 May
dust213–6-0.0214%3 May
anubis11–13-0.045%3 May
inferno6–13-0.0115%2 May
mirage16–13-0.0220%2 May
mirage8–13-0.0615%30 Apr
cache4–13-0.045%30 Apr
dust216–140.018%29 Apr
mirage12–16-0.0416%29 Apr
inferno13–11-0.017%28 Apr
ancient13–9-0.017%28 Apr
mirage7–13-0.028%26 Apr
inferno13–7-0.0215%26 Apr
inferno10–130.0013%25 Apr
dust23–13-0.0526%25 Apr
inferno5–130.0613%25 Apr
mirage8–130.0320%19 Apr
inferno7–13-0.0521%19 Apr
ancient13–8-0.0715%18 Apr
mirage15–150.0614%18 Apr
anubis13–90.0123%22 Mar
dust24–13-0.1133%22 Mar
mirage13–80.0118%22 Mar
ancient16–14-0.0618%14 Mar
mirage13–11-0.0514%24 Dec
ancient4–13-0.0219%24 Dec
ancient3–13-0.028%24 Dec
mirage2–13-0.0713%15 Nov
mirage13–110.0210%3 Nov
dust213–100.0414%30 Oct
mirage11–13-0.0115%30 Oct
mirage13–11-0.0521%28 Oct
dust213–60.0012%28 Oct
ancient6–13-0.056%15 Oct
overpass13–110.0114%14 Oct
mirage13–110.078%13 Oct
dust213–100.0713%12 Oct
ancient16–140.0126%10 Oct
mirage16–14-0.0119%10 Oct
ancient13–5-0.0212%10 Oct
mirage9–13-0.0324%9 Oct
rooftop8–8-0.1313%9 Oct
mirage3–13-0.049%8 Oct
mirage13–80.014%8 Oct

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →