Emxo

Emxo — CS2 Stats

76561199473477531[U:1:1513211803]Steam profile ↗✓ No bans

844Tracked matches43%Win rate2023Tracked since
569Hours in CS
CSDB Rating5.5 SolidPositional Player
Premier CS Rating17,476Purple band · top ~18.5% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,476 -576 16 Sept – 30 Sept · 5 days played
17,47618,052peak 18,05216 Sept30 Sept
18,052Peak Premier in tracked matches
34Days played since 2026-08-29

Premier CS Rating

  • 576 below peak (18,052)
  • Next: Pink band at 20,000 — 2,524 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate42.6%46.8%48.2%5.6% short
Shot accuracy1.8%13.0%13.2%11.4% short
Kill/death ratio0.921.061.070.15 short
Match win rate45.5%46.3%46.9%1.4% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEmxoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER17,476 · Purple bandcsdb.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

Aim58
Positioning70
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWLLWLLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.2pp headshot accuracy · +23ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 531ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim5.8
Utility4.8
Positioning7.0
Opening Duels4.0
Clutch2.8

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

jL

Plays most like jL 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

CT openings. Opening success drops from 60% on T to 42% on CT — first contacts on the defending side are being lost.

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

Aim5.8
Positioning7.0
Utility4.8
Mechanics5.3
Opening Duels5.2
Win Impact2.8

Composite 5.5/10 (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 rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time533ms−32ms
first ⅓ avg 565ms → last ⅓ avg 533ms
Headshot accuracy17.5%−0.3%
first ⅓ avg 17.8% → last ⅓ avg 17.5%

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

0.16Best match rating · 13–4 · nuke, 9 Sept →
34%Best headshot accuracy · 13–9 · ancient, 30 Aug →
375msFastest reaction time · 13–5 · anubis, 9 Sept →
13–1Biggest win · anubis, 6 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 69% over 16nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
anubisA3017–1357%-0.01
infernoB1910–953%0.03
nukeD175–1229%0.00
ancientS1611–569%0.01
dust2A74–357%0.00
mirageB63–350%-0.01
vertigo—42–250%-0.01
cache—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,689Lifetime kills
0.92K/D
1,121Matches
45.5%Match win rate
42.6%Headshot %
1.8%Shot accuracy
2,063MVPs
569Hours (in match)
825Bombs planted
233Bombs defused

Most-used weapons

Lifetime map wins

2,455inferno
2,393dust2
1,199vertigo
1,179nuke
9train

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

Faceit stats

Combat

109Matches
53%Win rate
1.30Avg K/D
79.0ADR
44%Headshot %

Clutches & streaks

34%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis3358%1.1315.1
Inferno2352%2.1016.4
Nuke1833%1.0316.4
Ancient1771%1.3216.9
Dust2850%0.8212.4
Mirage650%0.9816.7
Vertigo367%0.7110.3
Cache10%0.7311.0

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
30.6%Accuracy (enemy spotted)
31.6%Spray accuracy
74.1%Counter-strafing
10.3°Preaim
533msReaction time
59.6%T opening success
42.0%CT opening success
0.44Enemies flashed / flash
4.8%Flash assists
5.69HE damage / grenade
9.02Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.442 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–13-0.0830%25 Oct →
ancient13–70.0417%25 Oct →
anubis13–16-0.0016%18 Oct →
anubis7–13-0.0216%12 Oct →
inferno13–110.0610%12 Oct →
nuke3–13-0.0130%12 Oct →
inferno6–130.0519%11 Oct →
nuke19–160.0115%11 Oct →
anubis5–13-0.0222%11 Oct →
ancient13–80.0815%11 Oct →
anubis13–110.0225%11 Oct →
nuke13–40.0019%11 Oct →
nuke13–16-0.0615%9 Oct →
inferno13–40.0219%9 Oct →
nuke16–19-0.0512%8 Oct →
anubis13–4-0.0119%8 Oct →
anubis5–13-0.0416%8 Oct →
nuke10–13-0.047%7 Oct →
inferno2–13-0.066%7 Oct →
inferno13–90.1529%4 Oct →
ancient13–9-0.0511%4 Oct →
anubis8–13-0.1014%3 Oct →
nuke9–130.0520%30 Sept →
nuke8–13-0.0617%29 Sept →
ancient10–13-0.0211%29 Sept →
nuke13–6-0.0221%29 Sept →
inferno7–13-0.0416%28 Sept →
ancient13–110.0316%27 Sept →
anubis7–13-0.0116%27 Sept →
vertigo8–80.0629%27 Sept →
dust213–110.1021%27 Sept →
inferno13–20.1215%23 Sept →
vertigo13–2-0.0312%23 Sept →
nuke5–13-0.016%22 Sept →
ancient12–16-0.032%21 Sept →
ancient13–90.0017%20 Sept →
inferno10–130.049%20 Sept →
inferno13–90.0811%20 Sept →
anubis13–90.0213%20 Sept →
inferno13–60.0918%19 Sept →
anubis11–130.029%16 Sept →
ancient13–100.0111%14 Sept →
dust213–8-0.0410%14 Sept →
anubis13–60.0319%14 Sept →
anubis13–110.019%14 Sept →
inferno9–13-0.0111%14 Sept →
mirage13–80.0013%14 Sept →
anubis13–110.0411%13 Sept →
nuke13–90.0410%13 Sept →
dust28–13-0.067%13 Sept →
inferno9–130.0113%13 Sept →
cache4–13-0.0423%13 Sept →
nuke9–13-0.0214%13 Sept →
inferno8–13-0.014%13 Sept →
ancient16–140.0419%13 Sept →
anubis6–13-0.087%13 Sept →
inferno3–13-0.0720%12 Sept →
ancient13–30.0213%12 Sept →
nuke10–130.0116%12 Sept →
anubis6–13-0.0811%12 Sept →
anubis13–70.0419%12 Sept →
dust213–100.0713%11 Sept →
anubis13–9-0.0211%11 Sept →
inferno13–70.0522%10 Sept →
anubis16–13-0.009%10 Sept →
anubis3–13-0.064%10 Sept →
mirage20–22-0.0323%10 Sept →
anubis13–5-0.0123%9 Sept →
nuke13–40.1616%9 Sept →
vertigo13–9-0.0118%7 Sept →
ancient9–130.0121%7 Sept →
dust211–130.0021%7 Sept →
nuke7–13-0.0123%6 Sept →
anubis13–10.0618%6 Sept →
inferno10–13-0.0025%6 Sept →
anubis9–13-0.0313%5 Sept →
inferno13–80.0624%5 Sept →
nuke11–130.0213%5 Sept →
anubis13–8-0.0112%5 Sept →
ancient13–10-0.0211%3 Sept →
dust24–13-0.069%3 Sept →
anubis13–60.0110%2 Sept →
anubis1–13-0.0610%1 Sept →
inferno13–8-0.068%31 Aug →
dust213–5-0.0125%30 Aug →
anubis13–70.027%30 Aug →
inferno13–100.0215%30 Aug →
ancient13–90.0234%30 Aug →
mirage13–8-0.0323%30 Aug →
mirage13–70.0812%30 Aug →
mirage11–13-0.0122%30 Aug →
anubis12–00.0216%30 Aug →
anubis11–00.0630%30 Aug →
mirage4–13-0.0523%30 Aug →
ancient8–130.0123%30 Aug →
anubis11–130.0125%30 Aug →
nuke10–130.0211%30 Aug →
vertigo10–13-0.057%30 Aug →
anubis13–7-0.0327%30 Aug →
ancient13–20.1211%29 Aug →

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 →

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