Eggless Omelette//NuT

Eggless Omelette//NuT — CS2 Stats

US76561198244912558[U:1:284646830]Steam profile ↗✓ No bans

432Tracked matches47%Win rate2021Tracked since
2,013Hours in CS28Hrs last 2 wks
CSDB Rating2.4 LearningSupport
Premier CS Rating7,506Light Blue band · top ~66.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (9 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 7,506 → 7,506
+4Tracked matches · now 432
+5.3ppWin rate · 41.4% → 46.7%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 23 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 7,506 +592 20 Aug9 Sept · 7 days played
6,9147,895peak 7,89520 Aug9 Sept
8,058Peak Premier in tracked matches
39Days played since 2026-03-23

Premier CS Rating

  • 389 below peak (7,895)
  • Next: Blue band at 10,000 2,494 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches521−16
Win rate40%19%+21pp
K/D0.620.65−0.03
Headshot %52%47%+5pp

Measured 12 Sep 202618 Sep 2026; previous 2 Sep 2026 → 12 Sep 2026.

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 4 among CSDB-tracked players (n=12,413), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.9%42.7%43.8%1.9% short
Shot accuracy11.1%11.2%12.0%0.9% short
Kill/death ratio0.711.001.020.31 short
Match win rate23.8%43.9%44.7%20.9% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEggless Omelette//NuTFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,506 · Light Blue 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

Aim29
Positioning26
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLWWLWLWLLW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −7.1pp headshot accuracy · −4ms 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 634ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 670ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 671ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim2.9
Utility3.7
Positioning2.6
Opening Duels0.0

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 74% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning2.6
Utility3.7
Mechanics2.3
Opening Duels0.0
Win Impact3.9

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time653ms−79ms
first ⅓ avg 732ms → last ⅓ avg 653ms
Headshot accuracy16.4%−1.7%
first ⅓ avg 18.1% → last ⅓ avg 16.4%

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

0.06Best match rating · 13–1 · cache, 18 Sept
36%Best headshot accuracy · 13–2 · nuke, 29 Jun
375msFastest reaction time · 0–10 · mirage, 26 Aug
13–1Biggest win · cache, 18 Sept

Across the last 100 tracked matches.

Highlights

7Longest win streak
36In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 75% over 8infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA1912763%-0.03
nukeC1871139%-0.05
ancientA148657%-0.05
cacheD1441029%-0.04
infernoD102820%-0.06
dust2D92722%-0.05
anubisS86275%-0.03
poseidon32167%-0.09
overpass110100%-0.05
train1010%-0.08
vertigo1010%-0.11
warden1010%-0.06
office1010%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,474Lifetime kills
0.71K/D
2,298Matches
23.8%Match win rate
41.9%Headshot %
11.1%Shot accuracy
1,644MVPs
1,176Hours (in match)
1,143Bombs planted
171Bombs defused

Most-used weapons

Lifetime map wins

2,868dust2
745nuke
670inferno
379train
353office
321vertigo
163lake
109bank

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

Faceit stats

Combat

4Matches
0%Win rate
0.24Avg K/D
ADR
41%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.162.5
Ancient10%0.244.0
Vertigo10%0.385.0

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.

16.3%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.5%Spray accuracy
60.1%Counter-strafing
11.9°Preaim
676msReaction time
25.9%T opening success
27.5%CT opening success
0.61Enemies flashed / flash
4.3%Flash assists
3.31HE damage / grenade
7.86Flashes / 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 25.9451% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.0526%18 Sept
cache13–10.0617%18 Sept
mirage13–9-0.0412%18 Sept
inferno8–13-0.0619%10 Sept
mirage13–90.0011%7 Sept
cache6–13-0.0313%7 Sept
mirage16–12-0.0410%7 Sept
nuke10–13-0.074%6 Sept
ancient11–13-0.0710%6 Sept
anubis13–110.0210%5 Sept
nuke9–13-0.0312%5 Sept
mirage7–13-0.0614%5 Sept
cache3–13-0.0828%5 Sept
cache10–13-0.1319%26 Aug
dust28–3-0.0526%26 Aug
mirage13–6-0.0216%26 Aug
ancient13–10-0.0713%26 Aug
mirage0–10-0.0733%26 Aug
nuke11–13-0.0419%26 Aug
mirage13–110.0023%22 Aug
inferno7–13-0.038%22 Aug
nuke4–13-0.0530%22 Aug
dust23–13-0.0715%21 Aug
ancient2–13-0.1112%20 Aug
overpass5–0-0.058%20 Aug
ancient13–4-0.0317%20 Aug
anubis13–8-0.0026%20 Aug
dust213–10.0530%20 Aug
cache13–5-0.0813%20 Aug
dust213–160.0118%16 Aug
mirage15–15-0.0013%16 Aug
cache7–130.048%16 Aug
inferno11–13-0.019%16 Aug
inferno7–13-0.0418%16 Aug
mirage7–13-0.040%9 Aug
ancient13–5-0.0518%9 Aug
cache8–13-0.043%8 Aug
anubis13–5-0.0421%8 Aug
mirage13–10-0.0811%8 Aug
train4–13-0.0814%8 Aug
nuke7–13-0.150%6 Aug
nuke1–13-0.087%2 Aug
ancient13–80.058%2 Aug
cache9–13-0.0911%1 Aug
inferno14–16-0.0919%1 Aug
nuke9–13-0.1122%1 Aug
vertigo2–13-0.1133%1 Aug
anubis13–9-0.0110%1 Aug
mirage10–13-0.0426%28 Jul
inferno8–13-0.1124%26 Jul
ancient13–11-0.0317%24 Jul
nuke13–5-0.0127%24 Jul
ancient13–7-0.0731%18 Jul
nuke13–9-0.0216%18 Jul
mirage13–60.049%18 Jul
ancient13–100.0319%18 Jul
anubis13–10-0.068%17 Jul
inferno8–13-0.1215%17 Jul
dust26–13-0.1017%17 Jul
ancient4–13-0.0830%15 Jul
cache13–2-0.047%15 Jul
ancient3–13-0.1113%15 Jul
anubis11–13-0.079%9 Jul
nuke13–4-0.0116%9 Jul
cache13–2-0.018%9 Jul
nuke5–11-0.066%5 Jul
warden12–12-0.0615%3 Jul
inferno3–130.0019%3 Jul
ancient13–3-0.0517%1 Jul
dust21–13-0.1222%1 Jul
anubis13–10-0.0330%29 Jun
nuke13–2-0.0236%29 Jun
ancient9–130.0127%21 Jun
nuke13–6-0.067%5 Jun
nuke13–90.0023%5 Jun
inferno13–9-0.0420%4 Jun
office9–11-0.0635%16 May
nuke7–13-0.0717%16 May
cache7–13-0.0220%16 May
dust212–12-0.0418%14 May
cache4–13-0.138%12 May
poseidon9–6-0.0916%12 May
mirage13–90.0019%4 May
dust22–13-0.1312%30 Apr
cache10–13-0.0520%30 Apr
cache6–13-0.0329%30 Apr
poseidon8–8-0.1020%16 Apr
mirage13–60.0211%12 Apr
mirage13–90.0413%12 Apr
mirage13–8-0.067%12 Apr
nuke13–70.0018%12 Apr
poseidon9–1-0.070%12 Apr
inferno9–4-0.0625%12 Apr
nuke8–13-0.1211%12 Apr
anubis7–13-0.0719%8 Apr
nuke6–13-0.0821%3 Apr
dust25–13-0.0220%3 Apr
mirage5–13-0.063%3 Apr
mirage13–10-0.0215%23 Mar
mirage5–13-0.0518%23 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →