EJDEM

EJDEM — CS2 Stats

76561198059988279[U:1:99722551]Steam profile ↗

1,994Tracked matches54%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating20,179Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.3% of ranked players (population est.)
CSDB Leaderboard#17226 of 46146 tracked
FaceitLevel 8 · 1,631 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGEJDEMFACEITLevel 8 · 1,631 ELOSTANDINGTop 31.2% of rankedPREMIER20,179 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning36
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY48493Last 10048%Win rateLLWWWTLWLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.3
Aggression2.3
Utility7.3
Positioning3.6
Opening Duels0.0
Clutch3.6

Effective flashes

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower opening-fight frequency.

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. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Reaction time. 638ms 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

Aim7.3
Positioning3.6
Utility7.3
Mechanics7.3
Opening Duels0.0
Win Impact6.2

Composite 5.8/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time641ms−48ms
first ⅓ avg 689ms → last ⅓ avg 641ms
Headshot accuracy25.3%−0.4%
first ⅓ avg 25.7% → last ⅓ avg 25.3%

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 — inferno 13–1
131Biggest win — dust2
8Longest win streak
L2Current streak
48In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 62% over 21ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A34191556%0.01
infernoA2113862%0.02
mirageC114736%-0.02
anubisC94544%0.01
nukeC94544%0.00
ancientD82625%-0.01
cacheD72529%-0.03
overpass1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

305Matches
51%Win rate
1.03Avg K/D
77.7ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
24%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Dust27256%1.0915.8
Mirage4850%1.0114.8
Inferno4351%1.0816.1
Ancient2556%1.0814.7
Anubis2259%1.0515.9
Nuke1250%1.2815.7
Overpass771%1.1022.0
Train729%1.0813.7

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.

24.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
32.5%Spray accuracy
82.9%Counter-strafing
8.0°Preaim
638msReaction time
23.7%T opening success
27.3%CT opening success
0.77Enemies flashed / flash
7.9%Flash assists
11.15HE damage / grenade
17.54Flashes / 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 23.7278% — 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 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0718%25 Aug
dust24–13-0.100%25 Aug
inferno13–2-0.0029%24 Aug
dust213–50.0224%24 Aug
dust213–30.0122%24 Aug
dust215–150.0529%24 Aug
inferno10–13-0.0525%23 Aug
anubis13–5-0.0237%23 Aug
dust213–160.0316%23 Aug
inferno13–9-0.0719%22 Aug
ancient5–130.0422%22 Aug
inferno13–90.0725%19 Aug
dust216–120.0517%19 Aug
dust216–13-0.0419%19 Aug
inferno13–110.1126%18 Aug
dust21–7-0.0657%18 Aug
mirage12–12-0.0322%18 Aug
nuke6–13-0.0413%18 Aug
ancient8–13-0.0729%18 Aug
dust213–9-0.0324%17 Aug
cache7–13-0.0233%17 Aug
mirage6–13-0.0430%16 Aug
dust24–13-0.0433%16 Aug
inferno16–120.0721%16 Aug
cache13–100.0119%16 Aug
dust28–130.0529%16 Aug
inferno13–110.0324%15 Aug
nuke9–13-0.0730%15 Aug
dust213–110.0327%6 Aug
inferno13–100.0236%6 Aug
dust213–9-0.0224%5 Aug
cache7–13-0.0224%5 Aug
dust213–40.0534%5 Aug
anubis11–13-0.0119%3 Aug
dust216–120.0333%3 Aug
ancient13–80.0631%2 Aug
dust212–16-0.0219%2 Aug
dust21–13-0.0438%31 Jul
cache7–13-0.0520%31 Jul
dust215–15-0.0229%30 Jul
inferno13–80.0025%30 Jul
anubis13–110.0429%30 Jul
anubis8–130.0425%29 Jul
anubis5–130.0636%28 Jul
dust216–120.0225%28 Jul
mirage13–90.0530%27 Jul
inferno14–16-0.0538%21 Jul
mirage13–4-0.0731%21 Jul
inferno10–130.0230%21 Jul
cache7–13-0.0025%18 Jul
ancient8–130.0226%18 Jul
inferno4–13-0.0036%17 Jul
mirage5–13-0.0630%17 Jul
cache13–10-0.0139%17 Jul
inferno7–13-0.0615%17 Jul
dust213–50.0728%16 Jul
dust213–6-0.0028%16 Jul
nuke13–80.0238%16 Jul
mirage13–80.0929%15 Jul
ancient9–13-0.0144%15 Jul
mirage13–7-0.0333%15 Jul
dust213–10.0915%12 Jul
nuke11–130.0522%12 Jul
dust27–13-0.0333%11 Jul
dust213–40.0518%11 Jul
inferno13–80.0439%10 Jul
inferno16–13-0.0130%8 Jul
anubis13–70.0430%6 Jul
nuke13–10.1230%6 Jul
nuke13–100.0316%5 Jul
dust213–60.0324%5 Jul
ancient13–60.0031%3 Jul
dust24–130.0828%1 Jul
mirage8–130.0124%1 Jul
inferno8–130.1428%1 Jul
nuke11–13-0.0232%1 Jul
dust211–130.0418%30 Jun
dust29–13-0.0623%26 Jun
nuke13–60.0219%26 Jun
inferno13–100.0122%21 Jun
dust213–70.0725%21 Jun
anubis13–5-0.0130%21 Jun
mirage20–220.0114%17 Jun
inferno8–13-0.0126%17 Jun
inferno13–10.1627%17 Jun
dust27–13-0.0015%17 Jun
dust213–80.0035%16 Jun
overpass3–11-0.0143%16 Jun
inferno10–130.0123%15 Jun
mirage3–13-0.068%15 Jun
ancient4–13-0.0323%15 Jun
dust28–130.0120%15 Jun
dust213–90.0225%12 Jun
anubis11–13-0.0233%12 Jun
cache4–13-0.1041%11 Jun
dust213–60.0327%11 Jun
ancient3–13-0.0726%10 Jun
nuke4–13-0.1014%10 Jun
inferno13–100.0440%10 Jun
anubis9–13-0.0527%10 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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