Vex0r

Vex0r — CS2 Stats

76561198085583499[U:1:125317771]Steam profile ↗✓ No bans

1,258Tracked matches40%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating21,636Top 50% of 205,709 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)
CSDB Leaderboard#59367 of 253126 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (6 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: 21,636 -1,473 2 Jul – 12 Oct · 17 days played
21,63624,507peak 24,5072 Jul12 Oct
24,868Peak Premier in tracked matches
2,212Highest Faceit ELO seen on CSDB
28Days played since 2026-07-02

Faceit ELO

  • At peak — 2,212
  • Next: 2,500 ELO at 2,500 — 288 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-23
  • Level 9 first seen 2026-09-23

Premier CS Rating

  • 2,871 below peak (24,507)
  • -2,155 over 90 days
  • Next: Red band at 25,000 — 3,364 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-23
  • Purple band first seen 2026-09-23

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.

Share this profile

CSDB.GGVex0rPREMIER21,636 · Pink bandPEAK ELO2,212csdb.gg/stats

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Performance scores

Aim87
Positioning47
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLWLLWLWWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −4.3pp headshot accuracy · +37ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 602ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 606ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 588ms

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 (+3 against its own average).

Aim8.7
Utility7.2
Positioning4.7
Opening Duels1.6
Clutch3.2

Sharp aimerExcellent counter-strafingEffective flashes

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 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower 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.

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 602ms 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
Positioning4.7
Utility7.2
Mechanics8.7
Opening Duels1.7
Win Impact1.7

Composite 6.4/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time607ms−42ms
first ⅓ avg 648ms → last ⅓ avg 607ms
Headshot accuracy21.2%−2.0%
first ⅓ avg 23.2% → last ⅓ avg 21.2%

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

0.21Best match rating · 13–3 · ancient, 22 Jul →
67%Best headshot accuracy · 3–2 · dust2, 2 Jul →
344msFastest reaction time · 3–13 · dust2, 20 Jul →
13–0Biggest win · dust2, 29 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
12–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 62% over 13ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%0.01
mirageB158–753%-0.00
cacheB136–746%-0.00
anubisA138–562%0.02
ancientD123–925%0.01
infernoA95–456%0.02
nukeA53–260%0.04
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

824Matches
54%Win rate
1.10Avg K/D
72.6ADR
47%Headshot %

Clutches & streaks

36%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno16752%1.0715.9
Anubis11256%1.0715.6
Dust29358%1.0614.0
Nuke6748%0.9514.4
Ancient5357%1.0314.7
Overpass3468%1.3316.5
Mirage2843%1.0014.4
Vertigo2654%1.0615.3

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.

21.3%Headshot accuracy
36.6%Accuracy (enemy spotted)
45.0%Spray accuracy
89.3%Counter-strafing
8.3°Preaim
602msReaction time
27.0%T opening success
43.4%CT opening success
0.75Enemies flashed / flash
6.7%Flash assists
13.60HE damage / grenade
16.24Flashes / 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 26.9678% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0130%12 Oct →
cache3–13-0.069%12 Oct →
dust216–14-0.0620%12 Oct →
ancient4–13-0.0721%12 Oct →
mirage11–130.0320%12 Oct →
dust213–110.0625%26 Aug →
ancient8–13-0.0222%25 Aug →
mirage13–90.0018%25 Aug →
dust213–50.0617%25 Aug →
anubis13–8-0.0123%25 Aug →
ancient7–13-0.0215%25 Aug →
anubis12–160.0922%24 Aug →
dust213–40.0415%24 Aug →
dust216–120.0422%6 Aug →
inferno10–130.0124%5 Aug →
dust213–100.0330%4 Aug →
dust29–130.0325%3 Aug →
nuke11–130.0422%3 Aug →
anubis9–130.0136%3 Aug →
dust213–8-0.0338%3 Aug →
inferno13–70.0824%2 Aug →
dust29–130.0318%2 Aug →
ancient13–4-0.0210%2 Aug →
mirage13–40.0317%2 Aug →
cache7–130.0422%2 Aug →
dust211–13-0.0329%30 Jul →
ancient2–13-0.0310%30 Jul →
dust29–130.017%29 Jul →
inferno9–13-0.1122%29 Jul →
anubis10–13-0.0212%29 Jul →
dust213–00.0725%29 Jul →
nuke13–50.1014%27 Jul →
mirage13–20.0736%27 Jul →
ancient13–110.0227%27 Jul →
cache0–13-0.050%27 Jul →
dust20–13-0.138%27 Jul →
mirage13–110.028%27 Jul →
dust213–80.0122%27 Jul →
mirage11–13-0.0231%26 Jul →
inferno11–13-0.0712%26 Jul →
cache15–15-0.059%25 Jul →
dust210–13-0.0111%25 Jul →
nuke13–100.0123%25 Jul →
dust213–6-0.0121%25 Jul →
mirage7–13-0.0111%25 Jul →
mirage13–80.0215%25 Jul →
ancient4–13-0.0321%24 Jul →
dust213–40.0528%24 Jul →
anubis13–11-0.0619%23 Jul →
nuke13–10.0211%23 Jul →
anubis13–70.0121%23 Jul →
mirage12–160.0231%23 Jul →
cache10–13-0.0417%23 Jul →
anubis4–130.0934%22 Jul →
nuke7–130.0224%22 Jul →
dust213–70.0517%22 Jul →
inferno9–130.0822%22 Jul →
dust210–130.1022%22 Jul →
ancient13–30.2126%22 Jul →
dust23–13-0.1032%22 Jul →
mirage15–150.0318%21 Jul →
ancient3–13-0.0721%21 Jul →
inferno13–60.0724%21 Jul →
mirage10–13-0.0421%21 Jul →
cache13–11-0.029%20 Jul →
cache13–50.0123%20 Jul →
dust23–13-0.0329%20 Jul →
inferno13–100.0331%20 Jul →
vertigo13–100.0922%20 Jul →
mirage8–13-0.0112%20 Jul →
dust213–60.1024%20 Jul →
dust210–13-0.0333%19 Jul →
cache13–50.0111%19 Jul →
inferno13–50.0414%18 Jul →
anubis9–13-0.0312%18 Jul →
anubis13–11-0.0113%17 Jul →
dust213–110.0818%17 Jul →
anubis13–7-0.0216%17 Jul →
dust211–13-0.0814%16 Jul →
dust20–13-0.0021%13 Jul →
dust213–160.0026%13 Jul →
ancient8–13-0.0226%13 Jul →
mirage10–0-0.0217%13 Jul →
ancient15–150.1119%10 Jul →
cache9–130.0117%10 Jul →
mirage13–5-0.0520%10 Jul →
ancient10–130.0311%9 Jul →
cache13–80.0126%9 Jul →
cache13–40.0522%9 Jul →
anubis13–10.0941%9 Jul →
cache11–13-0.0441%8 Jul →
cache13–30.1124%8 Jul →
mirage13–11-0.0528%8 Jul →
anubis13–80.1124%2 Jul →
inferno13–110.0519%2 Jul →
dust213–50.0718%2 Jul →
anubis13–70.0020%2 Jul →
dust23–2-0.0567%2 Jul →
dust213–110.0819%2 Jul →
dust24–13-0.0142%2 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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