EMR3NN

EMR3NN — CS2 Stats

TR76561198009680892[U:1:49415164]Steam profile ↗✓ No bans

1,014Tracked matches52%Win rate2024Tracked since
1,300Hours in CS39Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating17,878Purple band · top ~16.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (3 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: 17,878 +176 4 Sept – 12 Nov · 6 days played
17,50117,994peak 17,9944 Sept12 Nov
17,994Peak Premier in tracked matches
1,312Highest Faceit ELO seen on CSDB
34Days played since 2026-07-26

Premier CS Rating

  • 116 below peak (17,994)
  • Next: Pink band at 20,000 — 2,122 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-28
  • Blue band first seen 2026-10-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,777), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.2%44.8%45.7%5.5% short
Shot accuracy0.6%12.4%12.7%12.2% short
Kill/death ratio1.131.031.05above
Match win rate51.0%45.2%45.7%above

This profile matches the typical Level 7 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEMR3NNFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,878 · Purple bandPEAK ELO1,312csdb.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

Aim75
Positioning47
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY52–39–9Last 10052%Win rateLLWLTWLWWT

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.1pp headshot accuracy · −33ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 536ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 521ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 538ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim7.5
Utility7.5
Positioning4.7
Opening Duels1.9
Clutch5.4

High utility contribution

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 82% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

CSDB Rating breakdown

Aim7.5
Positioning4.7
Utility7.5
Mechanics7.0
Opening Duels1.8
Win Impact5.7

Composite 6.1/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time534ms−21ms
first ⅓ avg 555ms → last ⅓ avg 534ms
Headshot accuracy15.1%+1.2%
first ⅓ avg 13.9% → last ⅓ avg 15.1%

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

0.15Best match rating · 13–4 · inferno, 7 Aug →
32%Best headshot accuracy · 11–13 · dust2, 23 Oct →
406msFastest reaction time · 13–7 · ancient, 11 Nov →
13–0Biggest win · mirage, 23 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 69% over 16ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3217–1553%0.01
mirageA1810–856%0.01
infernoS1611–569%0.05
ancientD123–925%0.01
anubisC73–443%0.01
nukeA74–357%-0.02
cacheA74–357%0.03
train—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,184Lifetime kills
1.13K/D · Top 50% of Level 6 players
2,297Matches
51.0%Match win rate · Top 25% of Level 6 players
40.2%Headshot %
0.6%Shot accuracy
4,803MVPs
831Hours (in match)
2,467Bombs planted
601Bombs defused

Most-used weapons

Lifetime map wins

8,394dust2
3,933inferno
1,795nuke
883train
307vertigo
92office
13italy
8ar_shoots

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

Faceit stats

Combat

316Matches
49%Win rate
1.08Avg K/D
80.1ADR
41%Headshot %

Clutches & streaks

47%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust214152%1.1015.2
Inferno6349%1.0715.4
Ancient3057%1.0516.0
Mirage2846%0.9513.8
Nuke2232%1.0817.2
Anubis1421%1.0716.0
Cache633%1.3016.7
Vertigo540%0.7313.6

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.

15.0%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.1%Spray accuracy
81.4%Counter-strafing
11.6°Preaim
535msReaction time
38.8%T opening success
35.8%CT opening success
0.65Enemies flashed / flash
7.7%Flash assists
11.59HE damage / grenade
15.60Flashes / 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 14.9941% — 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 38.8085% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0114%13 Nov →
dust28–13-0.0026%12 Nov →
ancient13–7-0.0220%11 Nov →
dust21–13-0.009%11 Nov →
anubis12–120.0011%11 Nov →
inferno13–60.0916%8 Nov →
inferno10–13-0.0315%8 Nov →
nuke13–60.0316%8 Nov →
inferno13–7-0.0017%7 Nov →
dust212–12-0.0518%7 Nov →
mirage10–13-0.0411%6 Nov →
dust24–13-0.0917%5 Nov →
dust213–7-0.0222%5 Nov →
ancient12–120.0616%2 Nov →
inferno7–130.047%2 Nov →
anubis12–12-0.0312%2 Nov →
cache13–8-0.0315%2 Nov →
inferno5–13-0.0712%1 Nov →
mirage7–13-0.068%1 Nov →
dust213–6-0.0119%1 Nov →
dust27–13-0.068%23 Oct →
dust213–50.029%23 Oct →
dust213–50.1217%23 Oct →
dust213–50.119%23 Oct →
dust211–13-0.0132%23 Oct →
mirage12–120.0212%19 Oct →
dust213–9-0.0313%19 Oct →
inferno13–70.0416%14 Sept →
mirage13–80.0711%14 Sept →
ancient9–13-0.0218%11 Sept →
nuke13–110.0211%6 Sept →
mirage13–60.0224%5 Sept →
mirage13–60.0117%4 Sept →
dust26–130.0316%4 Sept →
cache15–150.0617%4 Sept →
dust213–110.0716%3 Sept →
nuke13–9-0.0115%3 Sept →
cache5–13-0.0526%3 Sept →
inferno13–70.0719%3 Sept →
nuke15–15-0.0511%3 Sept →
inferno13–20.0527%2 Sept →
ancient14–160.0110%2 Sept →
inferno13–70.1012%2 Sept →
nuke4–13-0.086%2 Sept →
inferno13–90.0516%2 Sept →
ancient11–130.0416%2 Sept →
dust213–110.0625%30 Aug →
dust213–11-0.0214%30 Aug →
anubis13–70.0515%30 Aug →
mirage13–30.0110%30 Aug →
train8–130.0212%30 Aug →
mirage13–5-0.0222%23 Aug →
inferno13–80.0211%23 Aug →
dust213–90.0114%23 Aug →
ancient13–20.0924%23 Aug →
mirage13–00.0411%23 Aug →
mirage13–50.0330%23 Aug →
mirage8–10.018%23 Aug →
ancient8–13-0.0111%23 Aug →
mirage7–130.0115%21 Aug →
dust25–13-0.0116%21 Aug →
inferno13–70.067%21 Aug →
anubis9–13-0.0410%21 Aug →
dust27–130.0313%20 Aug →
dust213–30.0812%20 Aug →
dust213–40.0519%20 Aug →
dust20–13-0.098%20 Aug →
dust212–120.0824%20 Aug →
mirage13–10.0421%20 Aug →
dust213–9-0.0416%20 Aug →
inferno13–30.0613%15 Aug →
dust210–13-0.1013%13 Aug →
cache12–120.0724%8 Aug →
dust213–10.109%7 Aug →
anubis11–13-0.0211%7 Aug →
mirage0–130.0111%7 Aug →
ancient13–7-0.0415%7 Aug →
ancient5–130.0216%7 Aug →
inferno13–40.1523%7 Aug →
inferno11–130.0618%7 Aug →
ancient11–13-0.046%6 Aug →
ancient4–7-0.024%6 Aug →
ancient11–130.0510%6 Aug →
anubis13–60.0713%6 Aug →
nuke13–11-0.006%6 Aug →
nuke3–13-0.0220%6 Aug →
dust213–60.0617%4 Aug →
dust213–3-0.0613%3 Aug →
mirage13–8-0.0113%2 Aug →
cache13–110.0313%31 Jul →
dust213–16-0.0318%29 Jul →
inferno7–130.0614%29 Jul →
dust29–130.0011%29 Jul →
cache13–20.0811%28 Jul →
anubis13–100.046%28 Jul →
dust213–80.0213%28 Jul →
mirage3–130.0316%28 Jul →
dust211–130.1015%28 Jul →
mirage8–130.0014%26 Jul →
cache12–40.0112%26 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.