Niekje

Niekje — CS2 Stats

NL76561198144680147[U:1:184414419]Steam profile ↗✓ No bans

1,445Tracked matches46%Win rate2021Tracked since
751Hours in CS
CSDB Rating2.3 LearningPositional Player
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 1,445
−3.6ppWin rate · 50.0% → 46.4%

Rating over time

Premier CS Rating: 10,316 -394 24 May – 12 Jun · 5 days played
10,31610,875peak 10,87524 May12 Jun
11,098Peak Premier in tracked matches
37Days played since 2026-05-14

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches27——
Win rate19%——
K/D0.53——
Headshot %27%——

Measured 25 Sep 2026 → 27 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 2 among CSDB-tracked players (n=6,128), 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 rate39.3%41.3%41.8%2.5% short
Shot accuracy8.5%12.7%12.2%3.7% short
Kill/death ratio0.600.950.980.38 short
Match win rate34.7%42.6%43.3%8.6% short

This profile sits below the typical Level 3 player on every metric we can compare.

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.GGNiekjeFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.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
Positioning23
Utility12

0–100 skill scores via Leetify.

Recent form

COLD39–54–7Last 10039%Win rateWLWLWTTLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · −13ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 652ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 8%
  • Avg reaction 655ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 8%
  • Avg reaction 661ms

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 (+1.2 against its own average).

Aim2.9
Utility1.2
Positioning2.3
Opening Duels0.0
Clutch1.0

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 87% 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. 652ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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
Positioning2.3
Utility1.2
Mechanics2.6
Opening Duels0.0
Win Impact3.8

Composite 2.3/10 (Learning), 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-0.06+0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time650ms−38ms
first ⅓ avg 688ms → last ⅓ avg 650ms
Headshot accuracy9.6%−2.6%
first ⅓ avg 12.2% → last ⅓ avg 9.6%

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

0.37Best match rating · 9–1 · inferno, 12 Jul →
26%Best headshot accuracy · 13–5 · mirage, 2 Jun →
430msFastest reaction time · 5–13 · inferno, 18 May →
13–2Biggest win · dust2, 6 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

boulderBest map · 60% over 5anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2510–1540%0.03
mirageC177–1041%-0.06
cacheB136–746%-0.04
fachwerkC83–538%-0.05
anubisD61–517%-0.04
nukeD61–517%-0.05
dust2D62–433%-0.05
boulderA53–260%-0.03
shelterC52–340%-0.06
overpass—31–233%-0.11
vertigo—21–150%-0.07
office—21–150%-0.05
ancient—10–10%-0.09
stronghold—11–0100%0.07

Across the last 100 tracked matches.

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

Lifetime stats

24,383Lifetime kills
0.60K/D
2,290Matches
34.7%Match win rate
39.3%Headshot %
8.5%Shot accuracy
2,919MVPs
751Hours (in match)
1,456Bombs planted
300Bombs defused

Most-used weapons

Lifetime map wins

4,702inferno
1,394dust2
1,316vertigo
1,148nuke
261train
124office
91cbble
50lake

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

Faceit stats

Combat

27Matches
30%Win rate
0.50Avg K/D
54.4ADR
38%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient743%0.489.0
Anubis714%0.426.9
Inferno475%0.789.8
Mirage333%0.6414.3
Vertigo20%0.173.0
Nuke10%0.7915.0

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.

9.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
36.6%Spray accuracy
61.7%Counter-strafing
12.5°Preaim
652msReaction time
27.8%T opening success
15.9%CT opening success
0.21Enemies flashed / flash
0.9%Flash assists
5.70HE damage / grenade
0.77Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.519° — above the 12° mark we flag

    Aim Training →
  2. 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 9.8231% — below the 15% mark we flag

    Aim Training →
  3. 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 0.2132 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
boulder13–11-0.1214%24 Oct →
vertigo7–13-0.0715%24 Oct →
fachwerk6–1-0.060%24 Oct →
anubis4–13-0.068%23 Oct →
nuke13–3-0.0412%23 Oct →
boulder12–12-0.046%10 Oct →
fachwerk12–12-0.077%10 Oct →
mirage10–13-0.104%8 Oct →
anubis3–13-0.0211%6 Oct →
mirage1–13-0.103%4 Oct →
cache13–10-0.0311%4 Oct →
inferno3–13-0.035%4 Oct →
overpass2–9-0.220%4 Oct →
dust26–13-0.014%26 Sept →
inferno13–11-0.0412%26 Sept →
dust20–13-0.090%26 Sept →
mirage13–5-0.0215%24 Sept →
cache9–130.018%24 Sept →
anubis3–13-0.0512%24 Sept →
shelter5–13-0.1111%16 Sept →
fachwerk6–13-0.128%16 Sept →
shelter5–13-0.139%13 Sept →
fachwerk8–13-0.057%13 Sept →
mirage13–10-0.0512%10 Sept →
anubis13–3-0.0215%25 Aug →
cache13–11-0.069%25 Aug →
inferno13–10-0.0512%6 Aug →
dust213–2-0.0016%6 Aug →
inferno13–4-0.1016%6 Aug →
mirage3–13-0.085%6 Aug →
shelter13–40.0122%4 Aug →
cache13–20.1115%4 Aug →
inferno10–13-0.0214%4 Aug →
boulder13–5-0.026%1 Aug →
fachwerk13–5-0.018%1 Aug →
boulder13–40.0116%31 Jul →
shelter4–1-0.019%31 Jul →
fachwerk13–5-0.0015%31 Jul →
nuke6–13-0.095%28 Jul →
mirage13–11-0.046%28 Jul →
ancient9–13-0.0916%28 Jul →
anubis7–13-0.082%22 Jul →
dust27–13-0.0610%22 Jul →
inferno7–90.065%12 Jul →
inferno9–10.3315%12 Jul →
inferno2–9-0.1712%12 Jul →
inferno9–10.377%12 Jul →
inferno9–10.3018%12 Jul →
inferno6–90.055%12 Jul →
inferno4–9-0.077%12 Jul →
inferno4–90.0612%12 Jul →
boulder6–13-0.019%10 Jul →
shelter7–13-0.083%10 Jul →
fachwerk9–13-0.107%10 Jul →
fachwerk7–13-0.020%10 Jul →
overpass3–13-0.1113%8 Jul →
cache7–13-0.0412%8 Jul →
mirage13–8-0.038%8 Jul →
inferno8–80.199%6 Jul →
inferno9–60.1215%6 Jul →
inferno9–60.1815%6 Jul →
inferno5–90.017%6 Jul →
vertigo13–5-0.085%5 Jul →
mirage5–130.0120%5 Jul →
stronghold13–30.0710%18 Jun →
mirage13–6-0.0010%18 Jun →
mirage6–13-0.0817%16 Jun →
nuke12–120.016%16 Jun →
mirage5–13-0.0814%15 Jun →
mirage3–13-0.098%15 Jun →
inferno8–13-0.0113%12 Jun →
overpass13–10-0.0115%12 Jun →
cache5–130.0113%7 Jun →
cache2–13-0.065%7 Jun →
cache13–7-0.0614%4 Jun →
inferno13–11-0.0613%4 Jun →
mirage7–13-0.0411%4 Jun →
nuke1–13-0.1116%4 Jun →
inferno8–13-0.0616%4 Jun →
mirage13–5-0.0326%2 Jun →
inferno13–7-0.0311%2 Jun →
mirage3–13-0.1213%1 Jun →
inferno2–13-0.1020%31 May →
mirage13–9-0.0515%31 May →
cache7–13-0.107%31 May →
anubis11–13-0.0311%31 May →
inferno5–13-0.0316%27 May →
cache13–9-0.0819%27 May →
nuke14–16-0.1015%24 May →
dust210–13-0.0912%24 May →
dust213–11-0.049%24 May →
mirage10–13-0.108%24 May →
inferno12–12-0.0416%23 May →
cache4–1-0.070%23 May →
nuke12–120.0112%23 May →
inferno5–13-0.119%18 May →
cache12–12-0.0514%18 May →
cache5–13-0.0815%14 May →
office13–9-0.056%14 May →
office8–13-0.046%14 May →

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.