vex

vex — CS2 Stats

US76561198051578306[U:1:91312578]Steam profile ↗

674Tracked matches52%Win rate2020Tracked since
CSDB Rating4.4 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGvexFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning41
Utility21

0–100 skill scores via Leetify.

Recent form

COLD51436Last 10051%Win rateLLLWWLWLTL

Last 10 vs previous 10: -30pp win rate · -0.05 avg rating

Player DNA

Aim5.3
Aggression4.8
Utility2.1
Positioning4.1
Opening Duels1.1

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 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 635ms 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

Aim5.3
Positioning4.1
Utility2.1
Mechanics6.9
Opening Duels1.2
Win Impact5.6

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time637ms−13ms
first ⅓ avg 650ms → last ⅓ avg 637ms
Headshot accuracy14.6%−0.1%
first ⅓ avg 14.7% → last ⅓ avg 14.6%

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

0.12Best rating — overpass 13–6
130Biggest win — agency
5Longest win streak
L3Current streak
97In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 75% over 8infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
officeA27171063%0.01
mirageC167944%0.01
infernoC104640%-0.03
ancientS86275%-0.01
dust2C73443%-0.02
alpineB63350%0.03
overpassA53260%-0.00
agencyA53260%0.01
nuke41325%-0.04
train31233%0.03
italy21150%-0.01
anubis21150%0.02
vertigo2020%-0.05
cache110100%-0.02
poseidon1010%0.00
stronghold1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

141Matches
43%Win rate
0.85Avg K/D
ADR
36%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage540%1.0311.0
Inferno425%0.7813.8
Anubis450%1.1412.5
Vertigo20%0.437.5
Overpass1100%0.9313.0
Dust210%0.9314.0
Ancient10%0.314.0

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.

14.9%Headshot accuracy
31.1%Accuracy (enemy spotted)
33.3%Spray accuracy
81.0%Counter-strafing
10.0°Preaim
635msReaction time
29.0%T opening success
39.5%CT opening success
0.17Enemies flashed / flash
7.0%Flash assists
5.03HE damage / grenade
0.92Flashes / 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 14.8976% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1742 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 28.9756% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office10–13-0.0615%24 Aug
inferno5–13-0.0214%23 Aug
dust24–13-0.0312%23 Aug
ancient13–5-0.078%23 Aug
cache13–6-0.0232%22 Aug
italy11–13-0.0623%22 Aug
mirage13–50.0413%22 Aug
mirage6–13-0.0413%22 Aug
ancient12–12-0.0113%22 Aug
inferno2–13-0.1415%22 Aug
office13–100.0310%20 Aug
anubis3–130.008%2 Apr
mirage11–13-0.067%27 Mar
office13–20.0119%26 Mar
office13–50.0824%19 Mar
nuke5–13-0.0318%19 Mar
office13–50.0611%18 Mar
office13–80.0113%18 Mar
nuke3–9-0.136%15 Mar
overpass13–60.1217%15 Mar
ancient13–6-0.0112%15 Mar
office13–80.0210%18 Feb
mirage13–50.0216%15 Feb
italy13–110.0416%15 Feb
inferno3–13-0.0521%15 Feb
mirage7–13-0.0513%15 Feb
ancient4–13-0.0226%15 Feb
dust213–6-0.0018%15 Feb
poseidon8–80.0011%14 Feb
vertigo10–13-0.0915%11 Feb
vertigo6–13-0.0111%11 Feb
inferno13–8-0.0510%10 Feb
overpass16–14-0.0615%10 Feb
office13–30.0112%8 Feb
inferno5–9-0.0630%8 Feb
alpine2–13-0.0525%28 Jan
alpine13–70.0720%28 Jan
alpine13–70.017%28 Jan
office13–100.0511%27 Jan
office11–130.008%27 Jan
inferno2–13-0.110%27 Jan
mirage13–16-0.0112%26 Jan
dust29–130.0121%26 Jan
ancient10–90.0115%26 Jan
mirage10–13-0.037%26 Jan
dust210–13-0.0819%25 Jan
nuke13–110.067%25 Jan
anubis13–30.0419%25 Jan
ancient13–10-0.0211%25 Jan
office13–100.078%25 Jan
ancient13–110.0411%25 Jan
dust28–13-0.0013%24 Jan
overpass13–11-0.018%24 Jan
alpine13–60.035%23 Jan
office9–13-0.016%23 Jan
alpine12–120.1113%23 Jan
alpine11–130.0214%23 Jan
dust213–8-0.0313%23 Jan
office13–10-0.0212%22 Jan
office13–100.0320%22 Jan
office13–80.089%22 Jan
mirage0–13-0.0422%22 Jan
stronghold8–13-0.068%22 Jan
mirage16–130.019%22 Jan
mirage12–120.0017%21 Jan
office4–13-0.0317%21 Jan
overpass11–130.0115%20 Jan
mirage13–40.0611%20 Jan
agency13–90.0416%19 Jan
inferno13–60.0722%19 Jan
dust213–9-0.0017%18 Jan
mirage13–40.0111%18 Jan
office11–13-0.0113%18 Jan
inferno12–120.0117%18 Jan
office8–13-0.109%18 Jan
mirage13–70.0423%18 Jan
agency12–12-0.0216%16 Jan
office13–90.0414%16 Jan
agency13–00.0327%16 Jan
office9–13-0.0214%16 Jan
office2–0-0.130%16 Jan
agency13–110.0221%15 Jan
office13–11-0.049%14 Jan
office3–13-0.0221%11 Jan
office13–60.079%11 Jan
office7–13-0.0415%11 Jan
mirage8–130.0915%11 Jan
overpass8–13-0.0823%11 Jan
office13–40.0714%11 Jan
nuke11–13-0.0418%11 Jan
inferno13–50.0414%11 Jan
office2–130.067%10 Jan
inferno13–70.039%9 Jan
mirage8–130.0315%9 Jan
ancient13–90.0216%7 Jan
mirage13–20.0911%7 Jan
agency6–13-0.029%7 Jan
train6–13-0.0214%1 Jan
train8–13-0.0116%31 Dec
train13–30.1122%31 Dec

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 →