VegaZ

VegaZ — CS2 Stats

DE76561198124123313[U:1:163857585]Steam profile ↗✓ No bans

939Tracked matches45%Win rate2020Tracked since
3,098Hours in CS3Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating11,641Blue band · top ~46.2% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,641 -3,235 18 Jul – 20 Oct · 22 days played
10,30214,876peak 14,87618 Jul20 Oct
15,373Peak Premier in tracked matches
738Highest Faceit ELO seen on CSDB
21Days played since 2026-07-18

Premier CS Rating

  • 3,235 below peak (14,876)
  • -1,370 over 90 days
  • Next: Purple band at 15,000 — 3,359 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.7%42.0%44.4%above
Shot accuracy14.7%9.6%11.9%above
Kill/death ratio1.100.981.03above
Match win rate45.4%43.8%45.2%meets

Across every metric we can compare, this profile already matches the typical Purple band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGVegaZPREMIER11,641 · Blue bandPEAK ELO738csdb.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

Aim41
Positioning58
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWWLLWLLWTW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −7.5pp headshot accuracy · −58ms 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 14%
  • Avg reaction 614ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 620ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 649ms

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 (+2.6 against its own average).

Aim4.1
Utility7.0
Positioning5.8
Opening Duels2.2
Clutch2.8

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

iM

Plays most like iM 59% playstyle similarity

Most alike: positioning profile, 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 667ms 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

Aim4.1
Positioning5.8
Utility7.0
Mechanics6.5
Opening Duels3.4
Win Impact3.3

Composite 4.8/10 (Developing), 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 rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time661ms+20ms
first ⅓ avg 641ms → last ⅓ avg 661ms
Headshot accuracy19.1%−1.2%
first ⅓ avg 20.3% → last ⅓ avg 19.1%

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

0.20Best match rating · 9–0 · vertigo, 21 Jul →
46%Best headshot accuracy · 13–4 · dust2, 18 Jul →
414msFastest reaction time · 1–9 · inferno, 4 Oct →
13–0Biggest win · cache, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 57% over 7mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
cacheB2513–1252%-0.02
dust2C2310–1343%-0.01
infernoC167–944%-0.02
mirageD155–1033%-0.01
ancientA74–357%-0.02
anubisB63–350%-0.02
nukeC52–340%-0.02
overpass—21–150%-0.07
vertigo—11–0100%0.20

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,788Lifetime kills
1.10K/D · Top 25% of Blue band
4,204Matches
45.4%Match win rate · Top 50% of Blue band
45.7%Headshot % · Top 50% of Blue band
14.7%Shot accuracy · Top 25% of Blue band
8,978MVPs
1,775Hours (in match)
5,750Bombs planted
815Bombs defused

Most-used weapons

AK-4727,129
AWP5,202
FAMAS4,399
P2501,508
MP91,428

Lifetime map wins

22,193dust2
5,018inferno
2,076nuke
607vertigo
215train
58cbble
50office
42ar_baggage

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

Faceit stats

Combat

486Matches
49%Win rate
1.02Avg K/D
66.5ADR
40%Headshot %

Clutches & streaks

34%1v1 clutch win
11%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2050%0.9414.1
Dust21759%0.9813.6
Inferno1242%0.7610.6
Ancient933%0.7913.6
Anubis650%0.789.7
Nuke40%0.9016.8
Cache250%0.7613.0
Train250%0.8613.0

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.

18.7%Headshot accuracy
25.9%Accuracy (enemy spotted)
24.6%Spray accuracy
79.4%Counter-strafing
9.3°Preaim
667msReaction time
45.3%T opening success
41.7%CT opening success
0.63Enemies flashed / flash
9.3%Flash assists
12.45HE damage / grenade
11.16Flashes / match

Recommended for you

Spend your practice time on Mirage

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–90.0116%20 Oct →
dust213–10-0.0012%19 Oct →
inferno7–13-0.058%17 Oct →
ancient8–13-0.0816%17 Oct →
dust213–10-0.0119%17 Oct →
ancient8–13-0.0517%17 Oct →
inferno11–13-0.039%17 Oct →
dust213–8-0.0615%16 Oct →
inferno15–150.0713%16 Oct →
dust213–3-0.028%16 Oct →
anubis6–13-0.0518%15 Oct →
mirage9–13-0.0124%15 Oct →
inferno7–13-0.0618%15 Oct →
ancient13–40.0411%15 Oct →
inferno11–130.0327%15 Oct →
mirage13–80.0110%15 Oct →
ancient13–7-0.0021%14 Oct →
cache13–80.0340%14 Oct →
cache13–0-0.0413%5 Oct →
dust24–13-0.0227%5 Oct →
dust29–13-0.0427%5 Oct →
dust211–13-0.0228%5 Oct →
dust26–13-0.0223%4 Oct →
dust26–13-0.0623%4 Oct →
overpass0–9-0.1525%4 Oct →
inferno1–9-0.2023%4 Oct →
overpass9–30.0122%4 Oct →
cache7–13-0.0113%4 Oct →
cache13–6-0.0321%4 Oct →
inferno13–10-0.0110%3 Oct →
dust213–40.0822%3 Oct →
cache9–13-0.0726%3 Oct →
dust29–13-0.0923%3 Oct →
cache13–11-0.0621%3 Oct →
inferno13–40.0223%3 Oct →
dust213–8-0.0317%3 Oct →
cache5–12-0.0212%2 Oct →
dust24–13-0.0219%1 Oct →
cache13–10-0.058%1 Oct →
mirage5–13-0.0221%1 Oct →
anubis13–20.0618%1 Oct →
anubis13–40.0115%1 Oct →
dust29–13-0.0423%1 Oct →
inferno8–13-0.0217%1 Oct →
cache13–5-0.0321%1 Oct →
dust213–70.0415%1 Oct →
dust24–130.0220%1 Oct →
dust27–13-0.0133%4 Aug →
cache13–9-0.0619%27 Jul →
inferno8–6-0.0811%27 Jul →
cache15–15-0.0213%26 Jul →
nuke8–13-0.0025%26 Jul →
mirage0–13-0.110%24 Jul →
dust213–110.0318%24 Jul →
cache10–13-0.0817%24 Jul →
mirage3–13-0.1215%24 Jul →
ancient13–11-0.0713%23 Jul →
cache9–13-0.0018%23 Jul →
inferno13–7-0.0117%22 Jul →
cache6–130.0412%22 Jul →
nuke13–3-0.0121%22 Jul →
dust211–130.0120%22 Jul →
cache8–130.0215%22 Jul →
mirage13–6-0.0213%22 Jul →
anubis13–4-0.0221%22 Jul →
cache8–13-0.0521%22 Jul →
mirage10–130.058%21 Jul →
inferno10–13-0.0225%21 Jul →
cache9–130.0310%21 Jul →
mirage4–13-0.0231%21 Jul →
nuke8–13-0.0716%21 Jul →
mirage13–4-0.018%21 Jul →
vertigo9–00.2024%21 Jul →
mirage11–130.0220%21 Jul →
mirage1–13-0.0320%21 Jul →
dust26–13-0.0122%21 Jul →
mirage13–110.0219%21 Jul →
inferno13–100.1040%21 Jul →
cache13–7-0.0019%21 Jul →
dust213–90.0425%21 Jul →
ancient10–13-0.0321%20 Jul →
nuke13–50.0414%20 Jul →
ancient13–90.0316%20 Jul →
inferno13–80.0223%20 Jul →
nuke11–13-0.0613%20 Jul →
cache13–110.0724%20 Jul →
anubis10–13-0.0121%20 Jul →
anubis0–13-0.107%19 Jul →
dust27–13-0.065%19 Jul →
inferno13–10-0.0018%19 Jul →
mirage2–130.0335%19 Jul →
cache13–11-0.0018%19 Jul →
inferno6–13-0.0513%18 Jul →
cache3–13-0.1020%18 Jul →
mirage11–13-0.0026%18 Jul →
cache13–11-0.0113%18 Jul →
cache10–13-0.0424%18 Jul →
dust213–40.0246%18 Jul →
mirage13–30.0119%18 Jul →
cache16–13-0.0417%18 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.