Nøkken

Nøkken — CS2 Stats

NO76561199196096381[U:1:1235830653]Steam profile ↗✓ No bans

637Tracked matches53%Win rate2023Tracked since
765Hours in CS12Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating15,834Purple band · top ~25.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 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: 15,834 +3,382 19 Jul – 25 Sept · 32 days played
12,19916,151peak 16,15119 Jul25 Sept
16,151Peak Premier in tracked matches
36Days played since 2026-07-19

Premier CS Rating

  • 317 below peak (16,151)
  • +956 over 30 days · improving
  • Next: Pink band at 20,000 — 4,166 to go
  • Reached: Purple band · Blue band · 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 5 among CSDB-tracked players (n=13,608), 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 rate52.6%43.8%44.8%above
Shot accuracy4.9%12.0%12.4%7.6% short
Kill/death ratio0.921.021.030.12 short
Match win rate47.9%44.7%45.2%above

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

Widest gap: Shot accuracy. 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.GGNøkkenFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,834 · 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

Aim53
Positioning48
Utility68

0–100 skill scores via Leetify.

Recent form

HOT58–41–1Last 10058%Win rateWWWWLLWWWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · −0.8pp headshot accuracy · −3ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 559ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 560ms

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).

Aim5.3
Utility6.8
Positioning4.8
Opening Duels2.3
Clutch3.0

Effective flashes

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 71% 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

Strengths

Flashes. 0.77 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 588ms 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

Aim5.3
Positioning4.8
Utility6.8
Mechanics6.2
Opening Duels2.3
Win Impact6.1

Composite 5.3/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time584ms−71ms
first ⅓ avg 654ms → last ⅓ avg 584ms
Headshot accuracy20.9%+1.8%
first ⅓ avg 19.1% → last ⅓ avg 20.9%

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 · 13–7 · vertigo, 18 Aug →
38%Best headshot accuracy · 6–13 · mirage, 28 Aug →
406msFastest reaction time · 13–0 · mirage, 11 Sept →
13–0Biggest win · mirage, 11 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 71% over 7dust2Weakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA3722–1559%-0.01
infernoA149–564%-0.02
anubisA127–558%-0.01
ancientS107–370%0.02
nukeC104–640%-0.02
cacheS75–271%0.02
dust2D72–529%-0.01
train—21–150%0.04
vertigo—11–0100%0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,975Lifetime kills
0.92K/D
1,037Matches
47.9%Match win rate · Top 25% of Level 5 players
52.6%Headshot % · Top 25% of Level 5 players
4.9%Shot accuracy
2,469MVPs
471Hours (in match)
1,175Bombs planted
196Bombs defused

Most-used weapons

Lifetime map wins

1,211nuke
1,178inferno
1,102dust2
457vertigo
172cbble
105train
44lake
8militia

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

Faceit stats

Combat

79Matches
51%Win rate
1.07Avg K/D
80.4ADR
45%Headshot %

Clutches & streaks

35%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2556%1.0915.8
Dust21346%0.9113.4
Ancient1258%0.8813.8
Anubis1136%0.9117.3
Nuke743%1.4716.7
Inferno580%1.7917.2
Cache450%0.9615.5
Vertigo20%1.0119.0

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.

21.1%Headshot accuracy
28.3%Accuracy (enemy spotted)
31.9%Spray accuracy
78.0%Counter-strafing
11.5°Preaim
588msReaction time
43.1%T opening success
35.5%CT opening success
0.77Enemies flashed / flash
14.2%Flash assists
8.96HE damage / grenade
8.26Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.4543% — below the 40% mark we flag

Spend your practice time on Dust 2

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 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–60.0324%25 Sept →
cache13–100.0432%23 Sept →
ancient13–40.0117%23 Sept →
mirage13–90.0719%20 Sept →
anubis11–13-0.0711%19 Sept →
mirage9–13-0.1219%17 Sept →
mirage13–110.0119%17 Sept →
dust213–100.0926%16 Sept →
anubis13–9-0.0113%13 Sept →
anubis13–110.0330%13 Sept →
ancient13–90.0116%12 Sept →
inferno9–13-0.0518%11 Sept →
inferno13–10-0.0336%11 Sept →
mirage13–0-0.099%11 Sept →
nuke3–13-0.0633%7 Sept →
mirage13–6-0.0222%7 Sept →
mirage6–13-0.0712%7 Sept →
mirage8–130.0122%6 Sept →
ancient13–4-0.0526%4 Sept →
ancient13–50.0721%1 Sept →
anubis8–13-0.0317%28 Aug →
nuke13–50.0526%28 Aug →
mirage6–13-0.0538%28 Aug →
mirage4–130.0024%25 Aug →
mirage11–130.0021%22 Aug →
nuke4–130.0118%22 Aug →
mirage10–130.0116%21 Aug →
anubis3–13-0.097%20 Aug →
ancient9–13-0.0418%19 Aug →
anubis13–70.0119%19 Aug →
mirage13–7-0.0026%19 Aug →
mirage13–8-0.0410%19 Aug →
train9–13-0.0226%19 Aug →
anubis10–130.0221%18 Aug →
nuke13–4-0.060%18 Aug →
vertigo13–70.1522%18 Aug →
train13–70.1028%18 Aug →
mirage12–12-0.0222%18 Aug →
mirage13–100.0923%18 Aug →
dust29–13-0.0313%16 Aug →
mirage13–50.0118%16 Aug →
nuke7–13-0.0814%16 Aug →
ancient13–10.0815%15 Aug →
mirage6–130.0520%15 Aug →
mirage5–13-0.0526%15 Aug →
cache6–13-0.0519%11 Aug →
mirage6–13-0.0218%11 Aug →
cache16–130.0633%10 Aug →
mirage13–100.0220%10 Aug →
nuke10–130.0534%10 Aug →
mirage13–60.0315%9 Aug →
nuke13–50.0623%9 Aug →
mirage13–8-0.0214%9 Aug →
inferno13–60.0521%9 Aug →
anubis13–60.0317%6 Aug →
mirage16–14-0.0421%6 Aug →
inferno10–13-0.0417%5 Aug →
mirage16–140.0413%5 Aug →
inferno13–10-0.0122%5 Aug →
cache13–50.0431%5 Aug →
nuke9–13-0.1017%5 Aug →
anubis13–11-0.0033%29 Jul →
inferno0–13-0.0930%29 Jul →
ancient13–100.0415%29 Jul →
cache7–13-0.0219%28 Jul →
mirage13–2-0.0128%28 Jul →
inferno16–130.0113%28 Jul →
mirage13–70.0126%28 Jul →
inferno13–10-0.0318%27 Jul →
dust29–13-0.0321%27 Jul →
inferno13–30.0520%26 Jul →
mirage13–7-0.0314%26 Jul →
anubis9–130.026%24 Jul →
mirage13–50.0118%24 Jul →
ancient4–130.0313%24 Jul →
inferno13–8-0.0117%24 Jul →
mirage7–13-0.0431%24 Jul →
inferno14–160.0219%24 Jul →
inferno6–13-0.0326%23 Jul →
cache13–20.0721%23 Jul →
dust22–13-0.0715%23 Jul →
mirage13–5-0.0224%23 Jul →
mirage4–13-0.1024%23 Jul →
mirage13–50.0235%23 Jul →
mirage13–11-0.0021%23 Jul →
mirage5–13-0.0115%21 Jul →
ancient5–13-0.0924%21 Jul →
inferno13–11-0.027%21 Jul →
nuke7–13-0.0711%21 Jul →
dust27–13-0.0129%21 Jul →
anubis13–6-0.0114%21 Jul →
inferno13–11-0.0316%21 Jul →
nuke13–100.0210%21 Jul →
dust213–7-0.0126%21 Jul →
mirage13–110.029%20 Jul →
ancient13–90.1026%20 Jul →
dust210–13-0.0121%20 Jul →
mirage6–13-0.0915%20 Jul →
anubis13–110.0513%19 Jul →
mirage13–50.0624%19 Jul →

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 →

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