Hele Norges Mullah

Hele Norges Mullah — CS2 Stats

76561198012166467[U:1:51900739]Steam profile ↗✓ No bans

498Tracked matches52%Win rate2020Tracked since
427Hours in CS
CSDB Rating3.8 LearningPositional Player
Premier CS Rating8,478Light Blue band · top ~62.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (10 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: 8,478 -1,189 30 Jun – 18 Sept · 31 days played
7,4929,788peak 9,78830 Jun18 Sept
9,999Peak Premier in tracked matches
42Days played since 2026-06-30

Premier CS Rating

  • 1,310 below peak (9,788)
  • +446 over 30 days · improving
  • -1,189 over 90 days
  • Next: Blue band at 10,000 — 1,522 to go
  • Reached: Light Blue band

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 2 among CSDB-tracked players (n=5,911), 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 2 medianLevel 3 medianvs Level 3
Headshot rate36.1%41.3%41.8%5.7% short
Shot accuracy13.1%12.7%12.2%above
Kill/death ratio0.800.950.980.18 short
Match win rate40.2%42.6%43.3%3.1% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHele Norges MullahFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,478 · 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

Aim43
Positioning51
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateLWWWWWLLLW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +37ms 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 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 586ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 595ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 576ms

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 (+1.7 against its own average).

Aim4.3
Utility3.0
Positioning5.1
Opening Duels2.1

Limited utility dependence

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 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 587ms 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

Aim4.3
Positioning5.1
Utility3.0
Mechanics4.8
Opening Duels2.1
Win Impact5.6

Composite 3.8/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time584ms−67ms
first ⅓ avg 651ms → last ⅓ avg 584ms
Headshot accuracy12.7%+2.7%
first ⅓ avg 10.0% → last ⅓ avg 12.7%

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

0.13Best match rating · 13–6 · mirage, 5 Jul →
27%Best headshot accuracy · 11–13 · dust2, 25 Jul →
422msFastest reaction time · 10–13 · inferno, 22 Aug →
13–0Biggest win · dust2, 10 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 70% over 10cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2512–1348%-0.03
infernoD184–1422%-0.02
nukeA159–660%-0.03
mirageA127–558%-0.01
cacheD112–918%-0.05
ancientS107–370%-0.03
anubis—31–233%-0.05
overpass—31–233%-0.02
boulder—10–10%0.03
vertigo—10–10%-0.04
train—11–0100%-0.02

Across the last 100 tracked matches.

Lifetime stats

16,105Lifetime kills
0.80K/D
1,227Matches
40.2%Match win rate
36.1%Headshot %
13.1%Shot accuracy · Top 50% of Level 2 players
1,545MVPs
427Hours (in match)
1,184Bombs planted
151Bombs defused

Most-used weapons

Lifetime map wins

1,463inferno
935nuke
832dust2
271train
80vertigo
75cbble
49assault
35aztec

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.6%Headshot accuracy
30.3%Accuracy (enemy spotted)
34.0%Spray accuracy
71.4%Counter-strafing
11.0°Preaim
587msReaction time
36.7%T opening success
39.7%CT opening success
0.34Enemies flashed / flash
1.4%Flash assists
7.06HE damage / grenade
4.62Flashes / 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 12.5927% — below the 15% mark we flag

    Aim Training →
  2. 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 0.345 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 36.7168% — below the 40% mark we flag

Spend your practice time on Cache

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0211%18 Sept →
nuke13–40.0211%18 Sept →
dust213–4-0.0121%18 Sept →
dust213–5-0.0216%17 Sept →
dust213–60.0324%17 Sept →
dust212–8-0.0010%11 Sept →
cache12–16-0.0418%1 Sept →
nuke7–13-0.079%1 Sept →
dust29–13-0.0617%28 Aug →
nuke8–1-0.020%28 Aug →
nuke6–13-0.0414%25 Aug →
ancient13–60.018%25 Aug →
dust211–13-0.0526%23 Aug →
ancient13–110.0013%22 Aug →
cache8–13-0.0416%22 Aug →
inferno10–13-0.034%22 Aug →
dust29–13-0.0317%21 Aug →
cache13–6-0.017%21 Aug →
ancient13–9-0.088%21 Aug →
nuke13–7-0.0310%21 Aug →
cache15–15-0.0215%19 Aug →
mirage11–13-0.0112%18 Aug →
mirage6–13-0.130%16 Aug →
nuke13–9-0.0417%15 Aug →
ancient13–20.056%15 Aug →
dust210–13-0.019%15 Aug →
inferno6–13-0.019%15 Aug →
ancient13–4-0.0615%14 Aug →
inferno13–50.0811%14 Aug →
dust21–30.0117%14 Aug →
inferno13–50.0819%13 Aug →
dust213–11-0.0412%12 Aug →
mirage9–13-0.0519%12 Aug →
inferno11–13-0.0112%11 Aug →
dust213–8-0.049%11 Aug →
dust213–0-0.0524%10 Aug →
inferno7–13-0.0819%10 Aug →
dust213–6-0.0313%10 Aug →
mirage13–10-0.0110%9 Aug →
anubis4–13-0.096%9 Aug →
cache8–13-0.0517%9 Aug →
dust213–3-0.0710%6 Aug →
inferno9–13-0.088%6 Aug →
dust213–7-0.0113%4 Aug →
cache5–13-0.0219%4 Aug →
anubis8–13-0.0415%30 Jul →
inferno13–7-0.0222%30 Jul →
mirage13–110.0416%30 Jul →
inferno14–16-0.0414%29 Jul →
dust213–50.0512%28 Jul →
dust23–13-0.116%28 Jul →
dust213–30.0314%27 Jul →
mirage13–00.0312%26 Jul →
nuke13–5-0.0210%26 Jul →
mirage11–13-0.0015%26 Jul →
inferno10–13-0.0413%25 Jul →
dust211–130.0027%25 Jul →
mirage16–12-0.0511%25 Jul →
anubis13–5-0.0315%25 Jul →
dust210–13-0.0619%23 Jul →
ancient13–60.0310%23 Jul →
nuke6–13-0.0016%23 Jul →
dust22–13-0.076%21 Jul →
inferno11–13-0.0312%21 Jul →
boulder12–120.0313%15 Jul →
cache7–13-0.0611%15 Jul →
nuke10–13-0.0615%14 Jul →
dust29–13-0.0117%14 Jul →
cache4–13-0.1215%14 Jul →
cache4–13-0.118%13 Jul →
nuke13–9-0.0213%13 Jul →
mirage13–7-0.007%12 Jul →
dust22–13-0.100%12 Jul →
inferno6–13-0.063%12 Jul →
inferno0–13-0.060%11 Jul →
cache16–14-0.019%10 Jul →
nuke13–40.046%10 Jul →
inferno10–130.089%9 Jul →
mirage13–5-0.0013%9 Jul →
cache8–13-0.0314%8 Jul →
vertigo4–13-0.0415%8 Jul →
overpass6–13-0.0510%8 Jul →
dust210–13-0.0511%8 Jul →
nuke11–13-0.0510%5 Jul →
mirage13–60.1317%5 Jul →
inferno9–13-0.084%4 Jul →
nuke13–11-0.055%4 Jul →
inferno13–6-0.0515%4 Jul →
mirage4–13-0.080%4 Jul →
overpass7–13-0.046%3 Jul →
nuke5–13-0.0914%3 Jul →
inferno12–16-0.0011%3 Jul →
ancient13–7-0.087%3 Jul →
ancient2–13-0.0611%3 Jul →
overpass13–50.0413%3 Jul →
nuke16–12-0.0210%2 Jul →
dust211–13-0.0616%2 Jul →
train4–1-0.0214%2 Jul →
ancient8–13-0.0814%2 Jul →
inferno5–13-0.0511%30 Jun →

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 →

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