Vestbi YT

Vestbi YT — CS2 Stats

VU76561198257385016[U:1:297119288]Steam profile ↗✓ No bans

2,045Tracked matches50%Win rate2020Tracked since
2,736Hours in CS
CSDB Rating6.1 SolidAll-Rounder
Premier CS Rating10,888Blue band · top ~50.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+16Premier CS Rating · 10,872 → 10,888

Rating over time

Premier CS Rating: 10,888 -763 13 Sept – 15 Nov · 37 days played
8,99913,106peak 13,10613 Sept15 Nov
13,420Peak Premier in tracked matches
37Days played since 2026-09-13

Premier CS Rating

  • 2,218 below peak (13,106)
  • +1,889 over 30 days · improving
  • Next: Purple band at 15,000 — 4,112 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches59101−42
Win rate49%54%−5pp
K/D1.051.16−0.11
Headshot %37%36%+0pp

Measured 18 Oct 2026 → 15 Nov 2026; previous 13 Sep 2026 → 18 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,219), 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.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate35.5%41.3%41.8%6.3% short
Shot accuracy10.9%12.7%12.2%1.3% short
Kill/death ratio1.040.950.98above
Match win rate45.6%42.6%43.3%above

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGVestbi YTFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER10,888 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71
Positioning63
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateLLLWWLWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +3.8pp headshot accuracy · −40ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 553ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 572ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.1
Utility5.2
Positioning6.3
Opening Duels6.3

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

jL

Plays most like jL 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 561ms 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

Aim7.1
Positioning6.3
Utility5.2
Mechanics7.2
Opening Duels7.1
Win Impact5.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 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+24ms
first ⅓ avg 543ms → last ⅓ avg 568ms
Headshot accuracy15.0%+2.1%
first ⅓ avg 12.9% → last ⅓ avg 15.0%

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

0.14Best match rating · 10–13 · anubis, 22 Oct →
32%Best headshot accuracy · 11–13 · mirage, 2 Nov →
398msFastest reaction time · 15–15 · inferno, 6 Oct →
13–1Biggest win · mirage, 12 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 69% over 13anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2010–1050%0.02
mirageB199–1047%0.02
anubisC166–1038%0.02
nukeC146–843%0.02
infernoS139–469%0.02
ancientA95–456%0.03
cacheA74–357%0.01
train—11–0100%-0.01
vertigo—10–10%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,293Lifetime kills
1.04K/D · Top 50% of Level 2 players
5,365Matches
45.6%Match win rate · Top 50% of Level 2 players
35.5%Headshot %
10.9%Shot accuracy
12,362MVPs
2,736Hours (in match)
6,110Bombs planted
1,358Bombs defused

Most-used weapons

AK-4728,183
AWP18,125
SSG 0810,155
P2503,659
FAMAS1,288
Knife1,183

Lifetime map wins

9,562dust2
4,705inferno
3,357nuke
1,755vertigo
1,055train
680cbble
490office
83lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

39Matches
38%Win rate
1.03Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10%1.0015.0
Nuke10%0.7512.0
Ancient1100%1.3320.0

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.

14.5%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.1%Spray accuracy
82.2%Counter-strafing
9.0°Preaim
561msReaction time
54.7%T opening success
62.4%CT opening success
0.63Enemies flashed / flash
6.9%Flash assists
7.35HE damage / grenade
9.73Flashes / 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 14.512% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Anubis

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

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0017%15 Nov →
mirage6–13-0.049%15 Nov →
ancient12–16-0.027%15 Nov →
cache13–80.0024%15 Nov →
ancient13–100.0615%15 Nov →
dust23–13-0.0517%14 Nov →
mirage13–60.0318%14 Nov →
nuke13–50.0726%14 Nov →
mirage13–40.0423%14 Nov →
inferno13–110.0924%14 Nov →
ancient13–7-0.0114%14 Nov →
anubis6–130.0820%13 Nov →
anubis5–13-0.0122%12 Nov →
inferno13–100.0719%12 Nov →
dust210–130.0513%11 Nov →
dust28–130.0112%11 Nov →
cache13–40.099%11 Nov →
ancient13–100.0610%11 Nov →
nuke8–13-0.0211%10 Nov →
cache2–13-0.0412%10 Nov →
cache5–130.0017%10 Nov →
inferno11–13-0.0110%10 Nov →
inferno13–50.063%10 Nov →
dust28–13-0.0212%9 Nov →
dust213–40.067%9 Nov →
mirage7–130.0710%6 Nov →
mirage13–8-0.0519%5 Nov →
nuke13–110.0116%5 Nov →
inferno9–13-0.0020%5 Nov →
anubis13–70.014%5 Nov →
dust213–11-0.0010%4 Nov →
nuke10–13-0.0319%3 Nov →
nuke7–130.0225%3 Nov →
ancient3–130.024%3 Nov →
dust210–13-0.0315%3 Nov →
mirage3–130.106%3 Nov →
nuke5–13-0.0510%3 Nov →
mirage11–130.0132%2 Nov →
nuke5–130.0310%1 Nov →
mirage13–30.046%1 Nov →
nuke13–10-0.0120%30 Oct →
ancient6–13-0.0419%29 Oct →
inferno13–60.0713%29 Oct →
dust216–14-0.0314%28 Oct →
dust213–90.0119%28 Oct →
nuke11–130.0718%27 Oct →
dust25–130.0211%27 Oct →
anubis16–14-0.028%22 Oct →
anubis10–130.1414%22 Oct →
anubis9–10.0711%22 Oct →
anubis13–20.1212%22 Oct →
inferno13–8-0.0017%21 Oct →
ancient13–90.1215%20 Oct →
mirage5–13-0.1021%20 Oct →
mirage13–160.068%20 Oct →
anubis2–13-0.0618%20 Oct →
inferno16–12-0.0313%20 Oct →
dust210–130.0416%18 Oct →
cache13–50.0216%18 Oct →
mirage13–50.1013%18 Oct →
dust26–130.0613%18 Oct →
dust213–40.0319%18 Oct →
inferno13–90.0110%17 Oct →
mirage4–13-0.0017%17 Oct →
dust213–100.0215%17 Oct →
anubis9–13-0.036%16 Oct →
dust213–5-0.008%16 Oct →
anubis10–130.076%16 Oct →
anubis1–13-0.0614%15 Oct →
nuke13–60.0319%14 Oct →
anubis8–13-0.0311%14 Oct →
cache13–100.068%13 Oct →
ancient5–13-0.028%13 Oct →
mirage10–130.076%12 Oct →
dust213–110.0314%12 Oct →
anubis5–13-0.0412%12 Oct →
mirage13–1-0.0010%12 Oct →
cache15–15-0.058%12 Oct →
mirage13–8-0.054%11 Oct →
nuke13–90.0412%11 Oct →
mirage5–13-0.029%11 Oct →
dust213–60.0719%11 Oct →
train13–9-0.016%10 Oct →
inferno8–13-0.0423%10 Oct →
mirage4–13-0.0210%9 Oct →
mirage13–100.043%8 Oct →
mirage13–30.1114%8 Oct →
inferno13–7-0.017%8 Oct →
anubis5–13-0.0511%8 Oct →
ancient13–90.0815%6 Oct →
inferno15–150.0020%6 Oct →
dust213–110.1210%6 Oct →
dust26–130.0619%5 Oct →
nuke13–90.0716%4 Oct →
nuke0–130.0019%3 Oct →
anubis16–130.0321%2 Oct →
nuke10–13-0.0217%2 Oct →
anubis13–100.0619%2 Oct →
inferno13–90.0220%2 Oct →
vertigo4–13-0.0017%30 Sept →

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 →

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