DJ MKE

DJ MKE — CS2 Stats

76561199103285814[U:1:1143020086]Steam profile ↗

2,652Tracked matches40%Win rate2022Tracked since
3,081Hours in CS8Hrs last 2 wks
CSDB Rating4.5 DevelopingPassive Rifler
FaceitLevel 9 · 1,746 ELOTop 20.7% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate45.0%48.5%51.9%7.0% short
Shot accuracy4.0%13.3%13.7%9.7% short
Kill/death ratio0.921.071.080.17 short
Match win rate33.2%47.0%48.7%15.5% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDJ MKEFACEITLevel 9 · 1,746 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning48
Utility57

0–100 skill scores via Leetify.

Recent form

COLD44542Last 10044%Win rateLLLLLWLWLL

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.

Aim6.0
Aggression4.2
Utility5.7
Positioning4.8
Opening Duels0.0
Clutch3.8

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 572ms 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

Aim6.0
Positioning4.8
Utility5.7
Mechanics6.0
Opening Duels0.2
Win Impact1.7

Composite 4.5/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time550ms−68ms
first ⅓ avg 618ms → last ⅓ avg 550ms
Headshot accuracy13.9%−4.3%
first ⅓ avg 18.2% → last ⅓ avg 13.9%

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

0.15Best rating — inferno 6–13
130Biggest win — mirage
4Longest win streak
L5Current streak
87In matches decided by ≤2 rounds
1Overtime games

Map breakdown

cacheBest map · 83% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA29171259%0.00
dust2C27111641%-0.00
anubisD113827%-0.01
infernoD81713%0.01
nukeB63350%0.02
cacheS65183%-0.03
ancientC52340%-0.03
vertigo31233%-0.00
train3030%-0.05
boulder1010%-0.08
overpass110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,296Lifetime kills
0.92K/D
5,241Matches
33.2%Match win rate
45.0%Headshot %
4.0%Shot accuracy
7,635MVPs
2,104Hours (in match)
3,791Bombs planted
952Bombs defused

Most-used weapons

AK-4742,481
AWP5,619
MP91,956
P901,219
Knife1,214

Lifetime map wins

9,448inferno
6,877dust2
1,390nuke
1,069vertigo
656train
205office
50italy
15ar_shoots

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

Faceit stats

Combat

503Matches
50%Win rate
1.18Avg K/D
80.8ADR
37%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage14451%1.1915.5
Dust29549%1.2315.8
Inferno8954%1.1917.4
Ancient7547%1.1116.6
Anubis6448%1.2316.9
Nuke1250%1.0217.0
Vertigo1060%1.2719.3
Train850%1.0117.0

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.

14.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
37.6%Spray accuracy
77.1%Counter-strafing
10.0°Preaim
572msReaction time
27.9%T opening success
32.0%CT opening success
0.57Enemies flashed / flash
4.4%Flash assists
6.38HE damage / grenade
12.22Flashes / 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 14.5437% — below the 15% mark we flag

    Aim Training
  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 27.9331% — 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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–130.0014%28 Aug
ancient2–13-0.067%28 Aug
ancient8–13-0.0125%28 Aug
mirage11–130.007%20 Aug
mirage4–13-0.0418%20 Aug
mirage13–110.1214%18 Aug
vertigo6–13-0.040%30 Jul
vertigo13–9-0.0224%29 Jul
anubis11–13-0.0320%28 Jul
mirage11–13-0.0513%26 Jul
vertigo6–130.0514%26 Jul
anubis10–130.036%26 Jul
anubis3–13-0.0810%26 Jul
mirage16–14-0.0313%25 Jul
dust213–6-0.0215%23 Jul
boulder6–13-0.0814%22 Jul
mirage13–8-0.012%19 Jul
mirage13–70.0218%19 Jul
mirage13–00.000%18 Jul
dust210–13-0.0911%18 Jul
mirage13–30.0325%16 Jul
mirage13–20.0111%16 Jul
dust25–13-0.0322%16 Jul
dust213–7-0.0022%16 Jul
anubis3–130.0118%16 Jul
overpass13–11-0.0122%14 Jul
dust211–130.0326%10 Jul
anubis9–130.0518%2 Jul
mirage13–6-0.0111%2 Jul
nuke7–130.0611%2 Jul
cache0–2-0.010%2 Jul
mirage8–13-0.0415%1 Jul
cache13–5-0.0414%1 Jul
mirage13–1-0.0127%1 Jul
mirage13–7-0.0322%1 Jul
anubis7–13-0.0314%1 Jul
dust213–100.0321%30 Jun
mirage13–40.076%30 Jun
cache13–8-0.069%30 Jun
dust21–13-0.0110%30 Jun
inferno3–13-0.0225%30 Jun
mirage7–130.0110%30 Jun
inferno10–130.0713%30 Jun
mirage13–6-0.0221%30 Jun
mirage8–130.0213%30 Jun
nuke2–130.0125%30 Jun
dust210–130.0814%29 Jun
dust210–13-0.0626%29 Jun
dust213–90.0418%27 Jun
anubis13–2-0.0314%27 Jun
inferno6–130.1512%27 Jun
mirage10–130.0819%27 Jun
nuke13–70.049%27 Jun
dust26–13-0.067%27 Jun
dust26–130.0111%25 Jun
nuke6–80.0118%25 Jun
mirage13–80.0219%25 Jun
dust20–13-0.0333%25 Jun
nuke3–130.0431%24 Jun
dust23–13-0.0515%24 Jun
inferno8–13-0.0233%24 Jun
mirage13–60.0919%24 Jun
cache13–80.0318%24 Jun
dust213–7-0.0537%24 Jun
dust212–120.0530%24 Jun
dust213–50.0122%23 Jun
dust213–70.0315%23 Jun
mirage7–00.1433%23 Jun
train12–12-0.038%20 Jun
train1–13-0.1120%20 Jun
inferno5–13-0.0421%20 Jun
dust28–130.0613%13 Jun
mirage11–13-0.0512%13 Jun
dust213–11-0.0041%13 Jun
dust27–13-0.0020%13 Jun
train10–13-0.0213%13 Jun
anubis7–130.029%13 Jun
nuke13–2-0.040%13 Jun
mirage6–13-0.0614%13 Jun
ancient13–5-0.056%11 Jun
mirage5–13-0.0410%11 Jun
mirage13–11-0.0921%11 Jun
mirage10–13-0.0513%31 May
dust25–13-0.0725%31 May
mirage13–7-0.0250%31 May
ancient13–8-0.009%31 May
anubis4–13-0.020%31 May
cache13–10-0.045%30 May
dust27–13-0.0433%30 May
anubis13–11-0.0020%30 May
inferno4–130.0125%30 May
inferno13–11-0.016%30 May
anubis13–20.0114%30 May
dust213–8-0.007%30 May
dust213–50.030%29 May
inferno4–13-0.0550%29 May
cache13–6-0.0550%29 May
mirage11–13-0.0314%29 May
ancient3–13-0.0017%29 May
dust213–70.0221%29 May

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 →