EmVX

EmVX — CS2 Stats

76561198280423685[U:1:320157957]Steam profile ↗✓ No bans

1,798Tracked matches45%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating11,804Blue band · top ~45.3% of ranked players (population est.)
CSDB Leaderboard#32626 of 47317 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGEmVXFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,804 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning51
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLLWLLLTWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim4.0
Aggression7.5
Utility6.0
Positioning5.1
Opening Duels2.8
Clutch4.8

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: opening-fight frequency, 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. 561ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.0
Positioning5.1
Utility6.0
Mechanics2.7
Opening Duels2.8
Win Impact3.3

Composite 3.9/10 (Learning), 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-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time558ms−11ms
first ⅓ avg 569ms → last ⅓ avg 558ms
Headshot accuracy16.1%+2.4%
first ⅓ avg 13.6% → last ⅓ avg 16.1%

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.

Highlights

0.14Best rating — cache 13–7
130Biggest win — anubis
6Longest win streak
L2Current streak
116In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
cacheB25131252%0.00
ancientC2081240%-0.00
dust2B168850%-0.01
anubisB158753%0.00
nukeC125742%0.01
infernoA85363%-0.00
vertigo21150%0.03
mirage110100%0.00
overpass110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

139Matches
45%Win rate
1.00Avg K/D
78.5ADR
41%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3751%1.1117.1
Ancient3152%1.0616.9
Nuke2241%0.8913.8
Mirage1233%0.9715.0
Inferno1118%0.8012.8
Dust21040%0.9617.9
Overpass560%1.2517.0
Cache425%0.9317.0

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.

17.1%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.7%Spray accuracy
62.1%Counter-strafing
11.4°Preaim
561msReaction time
45.5%T opening success
37.0%CT opening success
0.57Enemies flashed / flash
1.9%Flash assists
9.77HE damage / grenade
9.27Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.0089% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache5–120.0114%23 Aug
anubis2–13-0.0714%15 Aug
cache16–140.0426%15 Aug
dust210–13-0.0811%15 Aug
nuke11–13-0.0124%15 Aug
cache7–13-0.0636%15 Aug
nuke15–15-0.0611%10 Aug
dust213–80.0124%9 Aug
cache13–10-0.029%9 Aug
anubis13–00.0912%7 Aug
ancient7–13-0.0614%7 Aug
nuke5–130.0419%6 Aug
ancient14–16-0.0215%6 Aug
ancient13–11-0.0314%6 Aug
dust214–160.0420%1 Aug
ancient9–130.0514%1 Aug
ancient13–30.0715%1 Aug
vertigo5–130.0125%31 Jul
vertigo13–110.0519%30 Jul
mirage13–20.0011%30 Jul
dust213–6-0.0524%30 Jul
nuke16–140.0522%30 Jul
ancient8–130.0815%30 Jul
nuke13–8-0.0211%29 Jul
inferno10–130.0120%28 Jul
ancient13–80.018%28 Jul
anubis13–8-0.0110%27 Jul
anubis10–13-0.0111%27 Jul
anubis7–13-0.0916%27 Jul
dust22–13-0.1222%27 Jul
dust213–60.0810%27 Jul
ancient13–110.039%26 Jul
anubis16–140.015%25 Jul
ancient4–1-0.000%25 Jul
inferno10–13-0.0533%21 Jul
inferno13–90.0516%20 Jul
cache10–130.0512%19 Jul
anubis11–130.0618%19 Jul
dust29–13-0.0322%16 Jul
anubis13–50.0815%12 Jul
cache4–13-0.0113%12 Jul
ancient13–10.0118%7 Jul
anubis4–13-0.046%6 Jul
dust213–16-0.0310%3 Jul
dust22–13-0.0518%29 Jun
nuke9–13-0.0311%29 Jun
dust213–80.0327%28 Jun
inferno13–11-0.048%28 Jun
nuke13–80.0119%28 Jun
ancient6–13-0.0414%21 Jun
dust29–130.0319%21 Jun
nuke8–130.0116%20 Jun
dust213–7-0.0011%20 Jun
nuke13–50.0013%20 Jun
ancient10–130.0017%19 Jun
anubis13–90.0716%17 Jun
ancient11–13-0.0613%17 Jun
ancient7–13-0.0516%3 Jun
ancient6–13-0.0315%25 May
anubis13–110.0215%25 May
cache8–130.0015%20 May
anubis13–10-0.0018%17 May
cache13–100.0214%17 May
ancient13–90.0615%17 May
dust213–100.0319%16 May
dust213–9-0.0122%16 May
inferno13–11-0.0312%16 May
ancient12–160.0320%15 May
inferno4–13-0.0512%15 May
nuke6–130.1116%15 May
overpass13–60.0314%14 May
ancient13–8-0.0312%14 May
anubis12–12-0.0016%14 May
cache13–80.0314%14 May
cache13–10-0.0118%10 May
dust213–100.0114%10 May
cache8–130.0310%9 May
inferno16–130.027%9 May
nuke13–9-0.0012%9 May
ancient7–13-0.049%5 May
nuke5–130.0417%5 May
cache10–13-0.0221%4 May
cache7–13-0.035%4 May
cache13–50.0613%3 May
anubis12–12-0.042%3 May
cache13–110.0115%2 May
cache13–90.0010%2 May
cache13–9-0.107%2 May
cache10–13-0.0224%1 May
cache11–13-0.017%29 Apr
cache13–11-0.0316%29 Apr
cache13–70.1412%29 Apr
cache13–5-0.0315%29 Apr
cache6–13-0.0522%29 Apr
cache8–130.0614%29 Apr
cache10–10.0416%29 Apr
dust29–13-0.0825%27 Apr
ancient7–13-0.047%27 Apr
inferno13–50.0812%26 Apr
anubis13–10-0.0116%22 Apr

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 →