EJayy

EJayy — CS2 Stats

AU76561198384763388[U:1:424497660]Steam profile ↗✓ No bans

2,384Tracked matches66%Win rate2021Tracked since
2,099Hours in CS
CSDB Rating5.9 SolidClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,384 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,375 +6,322 24 Jul – 12 Jun · 18 days played
10,90919,375peak 19,37524 Jul12 Jun
19,375Peak Premier in tracked matches
40Days played since 2025-07-24

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

No matches recorded between 26 Sep 2026 and 31 Oct 2026.

Measured 26 Sep 2026 → 31 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate38.9%43.8%44.8%5.9% short
Shot accuracy16.5%12.0%12.4%above
Kill/death ratio0.901.021.030.14 short
Match win rate46.0%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEJayyFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWWLWWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · −76ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 626ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim7.2
Utility4.4
Positioning4.4
Opening Duels1.7
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 96% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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. 632ms 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

Aim7.2
Positioning4.4
Utility4.4
Mechanics7.6
Opening Duels0.7
Win Impact10.0

Composite 5.9/10 (Solid), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time630ms−111ms
first ⅓ avg 741ms → last ⅓ avg 630ms
Headshot accuracy18.6%−3.2%
first ⅓ avg 21.8% → last ⅓ avg 18.6%

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.

Personal bests

0.07Best match rating · 13–3 · dust2, 26 Jul →
58%Best headshot accuracy · 4–13 · dust2, 3 Nov →
422msFastest reaction time · 5–13 · cache, 14 Jul →
13–1Biggest win · cache, 13 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
9–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 12mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A4023–1757%-0.03
mirageD155–1033%-0.04
ancientA148–657%-0.03
cacheS128–467%-0.02
anubisS96–367%-0.04
nukeD62–433%-0.04
train—32–167%-0.02
overpass—11–0100%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,005Lifetime kills
0.90K/D
5,223Matches
46.0%Match win rate · Top 50% of Level 5 players
38.9%Headshot %
16.5%Shot accuracy · Top 25% of Level 5 players
11,353MVPs
2,099Hours (in match)
5,646Bombs planted
1,456Bombs defused

Most-used weapons

AK-4726,539
AWP12,177
MP96,586
P2501,573
Knife1,386

Lifetime map wins

30,432dust2
2,675inferno
2,062vertigo
2,033nuke
670train
73lake
12office
8dust

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

Faceit stats

Combat

168Matches
52%Win rate
0.77Avg K/D
78.4ADR
41%Headshot %

Clutches & streaks

50%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2475%0.9317.3
Vertigo333%0.498.7
Mirage367%0.8111.7
Anubis2100%0.609.5
Inferno250%0.7611.0
Ancient250%0.6612.5

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.

18.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
34.8%Spray accuracy
84.1%Counter-strafing
9.8°Preaim
632msReaction time
33.4%T opening success
32.4%CT opening success
0.54Enemies flashed / flash
11.3%Flash assists
4.53HE damage / grenade
7.25Flashes / 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 33.3753% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0422%2 Sept →
cache13–9-0.0514%2 Sept →
dust213–9-0.0615%2 Sept →
dust213–110.0024%2 Sept →
dust26–13-0.0719%30 Aug →
ancient13–6-0.0617%30 Aug →
cache13–6-0.0410%6 Aug →
mirage8–13-0.0718%3 Aug →
ancient9–13-0.0017%14 Jul →
dust213–8-0.0813%14 Jul →
cache13–9-0.0918%14 Jul →
anubis16–14-0.0422%14 Jul →
cache5–130.0022%14 Jul →
dust215–15-0.075%26 Jun →
dust213–80.0119%12 Jun →
mirage7–13-0.0419%12 Jun →
nuke9–13-0.0615%12 Jun →
dust213–10-0.0322%3 Jun →
anubis13–80.0221%2 Jun →
overpass13–2-0.0620%2 Jun →
mirage16–130.0114%2 Jun →
dust213–9-0.0724%2 Jun →
ancient1–13-0.1014%29 May →
dust29–13-0.0914%20 May →
mirage13–100.0116%20 May →
anubis8–13-0.0121%20 May →
cache13–60.0020%13 May →
cache13–10.0445%13 May →
cache13–30.0426%13 May →
cache11–130.0218%8 May →
cache13–9-0.0516%8 May →
cache10–13-0.0321%8 May →
cache6–13-0.0616%6 May →
cache13–60.0224%6 May →
anubis8–13-0.0623%27 Apr →
dust212–12-0.0313%10 Apr →
nuke3–13-0.0110%27 Mar →
dust213–11-0.0012%27 Mar →
ancient13–6-0.0815%19 Mar →
anubis13–110.0017%19 Mar →
dust213–4-0.0213%19 Mar →
dust210–13-0.0418%18 Mar →
dust25–13-0.016%15 Mar →
anubis6–13-0.0711%12 Mar →
ancient10–13-0.0819%12 Mar →
anubis13–6-0.090%27 Feb →
dust213–10-0.0926%9 Feb →
nuke10–13-0.0717%9 Feb →
anubis13–7-0.0814%9 Feb →
dust213–6-0.0442%9 Feb →
ancient13–11-0.0122%9 Feb →
dust213–10-0.0328%29 Jan →
dust21–7-0.1321%27 Jan →
dust213–40.0219%27 Jan →
dust211–130.0220%13 Dec →
mirage5–13-0.0223%13 Dec →
dust213–80.009%13 Dec →
train13–10-0.0225%13 Dec →
ancient13–4-0.0222%30 Nov →
dust215–15-0.0919%30 Nov →
mirage8–13-0.0815%26 Nov →
nuke13–10-0.1117%26 Nov →
mirage13–10-0.0017%26 Nov →
ancient13–4-0.0327%26 Nov →
dust24–13-0.0258%3 Nov →
dust213–110.0117%3 Nov →
mirage3–13-0.1114%3 Nov →
dust213–7-0.0148%3 Nov →
mirage13–9-0.0824%3 Nov →
dust213–7-0.0321%3 Nov →
mirage10–13-0.0725%31 Oct →
dust28–13-0.078%31 Oct →
dust213–110.0017%21 Aug →
dust26–13-0.0516%17 Aug →
mirage16–13-0.0536%17 Aug →
nuke10–130.0421%15 Aug →
train13–4-0.0116%8 Aug →
ancient5–130.0122%8 Aug →
dust21–13-0.0440%8 Aug →
dust213–11-0.0212%1 Aug →
dust28–13-0.0524%1 Aug →
mirage11–13-0.0214%1 Aug →
dust29–130.000%30 Jul →
mirage10–13-0.0713%27 Jul →
ancient13–70.0733%26 Jul →
dust29–13-0.0216%26 Jul →
dust213–30.0723%26 Jul →
dust213–40.0415%26 Jul →
dust213–7-0.0218%26 Jul →
mirage9–13-0.0116%26 Jul →
ancient16–12-0.0316%26 Jul →
nuke13–8-0.0234%26 Jul →
dust26–13-0.0932%26 Jul →
ancient13–80.0020%26 Jul →
mirage12–16-0.0222%25 Jul →
ancient3–13-0.0017%25 Jul →
dust213–4-0.0319%25 Jul →
ancient5–13-0.0419%25 Jul →
train11–13-0.0231%25 Jul →
dust213–9-0.0331%24 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.