Emchen — CS2 Stats

76561198148681028[U:1:188415300]✓ No bans

847Tracked matches48%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating17,665Purple band · top ~17.8% of ranked players (population est.)
CSDB Leaderboard#9406 of 16875 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGEmchenFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,665 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning36
Utility40

0–100 skill scores via Leetify.

Recent form

HOT49465Last 10049%Win rateLLWWWWLWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression2.8
Utility4.0
Positioning3.6
Opening Duels0.5

Strong CT-side openerEffective flashesLimited utility dependence

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-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 647ms 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

Aim6.5
Positioning3.6
Utility4.0
Mechanics6.4
Opening Duels1.5
Win Impact4.4

Composite 4.8/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time654ms+3ms
first ⅓ avg 651ms → last ⅓ avg 654ms
Headshot accuracy16.9%+0.4%
first ⅓ avg 16.5% → last ⅓ avg 16.9%

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

0.16Best rating — dust2 4–13
132Biggest win — dust2
5Longest win streak
L2Current streak
49In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 88% over 8anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%-0.02
dust2C1881044%-0.01
ancientS97278%-0.01
cacheA95456%0.01
vertigoA95456%0.04
infernoS87188%0.01
overpassD72529%-0.01
anubisD71614%0.01
nukeC73443%-0.02
train3030%-0.03
splinter110100%0.05
alpine110100%0.07
office110100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

15Matches
47%Win rate
0.83Avg K/D
ADR
48%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient1100%1.0912.0
Vertigo1100%1.1820.0
Inferno1100%1.0813.0
Anubis10%0.508.0

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.

16.0%Headshot accuracy
35.0%Accuracy (enemy spotted)
42.8%Spray accuracy
78.8%Counter-strafing
10.0°Preaim
647msReaction time
21.5%T opening success
42.1%CT opening success
0.83Enemies flashed / flash
3.5%Flash assists
7.20HE damage / grenade
3.73Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.7274 — below the 4 mark we flag

    Grenade Lineups
  2. 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 21.5477% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–16-0.1015%4 Aug
dust211–13-0.0524%4 Aug
dust213–20.0418%4 Aug
inferno13–70.0316%4 Aug
ancient13–60.0220%2 Aug
mirage13–6-0.0817%2 Aug
overpass9–13-0.0210%26 Jul
cache13–60.0213%26 Jul
cache13–60.0117%23 Jul
inferno13–70.0220%23 Jul
anubis8–130.0612%23 Jul
mirage8–13-0.099%22 Jul
ancient13–9-0.0123%22 Jul
mirage10–130.0125%22 Jul
anubis6–130.0418%22 Jul
anubis7–13-0.0318%22 Jul
mirage13–50.014%22 Jul
dust213–60.0031%22 Jul
mirage15–15-0.0219%22 Jul
inferno13–80.0017%22 Jul
mirage11–13-0.058%21 Jul
nuke13–50.0521%20 Jul
dust23–13-0.0513%20 Jul
nuke7–13-0.0613%20 Jul
vertigo9–130.0126%20 Jul
mirage16–140.0217%20 Jul
ancient9–13-0.0311%20 Jul
dust213–4-0.0213%20 Jul
mirage8–13-0.025%20 Jul
anubis11–130.008%19 Jul
dust27–13-0.0723%19 Jul
ancient13–30.0442%19 Jul
cache8–13-0.0513%19 Jul
mirage13–7-0.0515%10 Jul
cache14–16-0.0115%10 Jul
nuke3–13-0.0513%10 Jul
ancient13–50.0411%10 Jul
mirage11–13-0.0613%10 Jul
cache12–12-0.0015%9 Jul
inferno13–30.0633%9 Jul
dust212–12-0.0011%9 Jul
train7–13-0.028%9 Jul
inferno9–13-0.0616%9 Jul
mirage3–13-0.0315%5 Jul
overpass19–16-0.0120%5 Jul
inferno16–140.0018%5 Jul
anubis13–60.0426%4 Jul
cache16–120.0035%4 Jul
train10–13-0.0712%29 Jun
vertigo7–13-0.0314%29 Jun
dust213–9-0.0131%29 Jun
dust213–10-0.0218%29 Jun
inferno13–11-0.0217%29 Jun
mirage8–130.0419%25 Jun
dust29–13-0.0714%25 Jun
mirage13–90.0920%25 Jun
vertigo13–70.0619%25 Jun
ancient10–13-0.0117%25 Jun
overpass12–120.0515%24 Jun
mirage13–6-0.0225%24 Jun
dust213–7-0.0116%24 Jun
ancient13–10-0.0320%24 Jun
cache13–100.0324%24 Jun
vertigo13–20.0513%24 Jun
cache5–130.0220%23 Jun
vertigo8–130.0717%23 Jun
dust216–130.0215%23 Jun
cache13–50.0424%23 Jun
ancient13–3-0.0724%22 Jun
mirage13–7-0.0110%22 Jun
anubis10–13-0.0128%17 Apr
splinter13–80.0521%17 Apr
dust28–130.0220%17 Apr
nuke10–130.009%17 Apr
overpass10–13-0.0413%10 Apr
vertigo8–10.013%10 Apr
inferno13–100.0311%10 Apr
alpine13–50.0719%8 Apr
mirage12–120.0117%8 Apr
dust211–13-0.0314%8 Apr
overpass13–110.0520%8 Apr
vertigo13–50.0423%8 Apr
nuke10–13-0.0020%7 Apr
dust28–13-0.1011%7 Apr
overpass8–13-0.0611%21 Mar
nuke13–5-0.0210%21 Mar
mirage13–80.0014%21 Mar
overpass6–13-0.0416%16 Mar
mirage11–13-0.0417%16 Mar
dust213–80.0215%16 Mar
nuke13–4-0.0225%6 Mar
mirage7–13-0.0120%6 Mar
vertigo11–130.0418%6 Mar
dust24–130.1620%6 Mar
anubis6–13-0.025%17 Feb
ancient13–7-0.0213%17 Feb
train9–13-0.0129%18 Jan
office13–10-0.0213%18 Jan
vertigo13–60.0821%18 Jan
mirage11–13-0.0410%18 Jan

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 →