Njaard

Njaard — CS2 Stats

DJ76561199883106984[U:1:1922841256]Steam profile ↗✓ No bans

100Tracked matches55%Win rate2025Tracked since
142Hours in CS1Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating13,124Blue band · top ~38.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (7 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: 13,124 +9,084 3 Jan – 25 Sept · 16 days played
4,04013,360peak 13,3603 Jan25 Sept
13,537Peak Premier in tracked matches
27Days played since 2025-08-08

Premier CS Rating

  • 236 below peak (13,360)
  • -236 over 30 days · steady
  • Next: Purple band at 15,000 — 1,876 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-24
  • Light Blue band first seen 2026-09-24

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2——
Win rate50%——
K/D0.89——
Headshot %42%——

Measured 24 Sep 2026 → 2 Oct 2026; no observation near 14 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.6%42.0%44.3%2.7% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio1.200.981.03above
Match win rate44.5%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGNjaardPREMIER13,124 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning56
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49–48–2Last 9949%Win rateLWWLLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.9pp headshot accuracy · −98ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 511ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 503ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Newest first, from the last 99 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 (+1.4 against its own average).

Aim5.8
Utility3.3
Positioning5.6
Opening Duels3.7

Strong T-side openerLimited 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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

CT openings. Opening success drops from 53% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.8
Positioning5.6
Utility3.3
Mechanics4.3
Opening Duels3.6
Win Impact6.7

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time565ms−51ms
first ⅓ avg 617ms → last ⅓ avg 565ms
Headshot accuracy18.6%+2.1%
first ⅓ avg 16.5% → last ⅓ avg 18.6%

Rolling 5-match average across the last 99 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.16Best match rating · 13–2 · office, 17 Aug →
43%Best headshot accuracy · 13–4 · inferno, 16 Jul →
438msFastest reaction time · 5–13 · inferno, 21 Aug →
13–0Biggest win · cache, 30 Apr →

Across the last 99 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 67% over 6mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA1912–763%0.03
nukeA148–657%0.03
dust2B136–746%0.02
ancientD124–833%-0.00
anubisA127–558%0.02
overpassB115–645%0.00
mirageD92–722%-0.01
cacheS64–267%0.04
train—10–10%0.07
grail—10–10%0.10
office—11–0100%0.16

Across the last 99 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,263Lifetime kills
1.20K/D · Top 25% of Blue band
236Matches
44.5%Match win rate · Top 50% of Blue band
41.6%Headshot %
0.0%Shot accuracy
607MVPs
94Hours (in match)
473Bombs planted
77Bombs defused

Most-used weapons

Lifetime map wins

459inferno
390nuke
300dust2
42train
27office
22vertigo
13italy
1ar_shoots

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.

18.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.4%Spray accuracy
69.5%Counter-strafing
11.0°Preaim
562msReaction time
52.6%T opening success
36.2%CT opening success
0.54Enemies flashed / flash
1.4%Flash assists
10.79HE damage / grenade
1.68Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6806 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 36.2238% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.068%25 Sept →
dust213–110.0213%11 Sept →
inferno13–50.0015%11 Sept →
ancient13–160.0312%11 Sept →
anubis12–160.0615%11 Sept →
inferno5–130.0021%21 Aug →
nuke13–90.0028%21 Aug →
anubis11–13-0.0117%15 Aug →
inferno13–3-0.0112%15 Aug →
nuke16–130.0624%15 Aug →
dust213–70.1015%15 Aug →
ancient13–50.0023%15 Aug →
cache5–13-0.0329%15 Aug →
dust213–110.0223%7 Aug →
nuke6–13-0.039%7 Aug →
dust210–130.0716%7 Aug →
cache13–110.0228%7 Aug →
inferno13–7-0.0212%7 Aug →
ancient13–50.0914%7 Aug →
mirage10–130.0115%7 Aug →
mirage11–130.0216%3 Aug →
nuke13–60.0423%3 Aug →
ancient6–130.0218%3 Aug →
anubis13–80.0618%3 Aug →
cache13–110.0927%3 Aug →
inferno13–20.0821%3 Aug →
inferno7–130.1012%16 Jul →
dust28–130.0520%16 Jul →
anubis15–150.0414%16 Jul →
nuke13–70.1025%16 Jul →
anubis13–80.1116%16 Jul →
cache11–130.0814%16 Jul →
inferno13–4-0.0143%16 Jul →
ancient7–130.0316%16 Jul →
cache13–1-0.0018%16 Jul →
inferno13–60.0627%16 Jul →
nuke6–130.0516%16 Jul →
overpass13–50.0020%6 Jun →
ancient13–9-0.015%6 Jun →
dust27–13-0.0341%6 Jun →
anubis13–5-0.0017%6 Jun →
inferno4–130.0413%6 Jun →
nuke15–150.0418%6 Jun →
ancient6–13-0.014%3 Jun →
mirage1–13-0.0918%3 Jun →
anubis16–130.0827%3 Jun →
inferno13–30.0742%3 Jun →
overpass10–13-0.0329%3 Jun →
nuke13–100.1111%3 Jun →
overpass7–13-0.0615%29 May →
dust210–13-0.0018%29 May →
ancient8–13-0.0310%29 May →
inferno9–13-0.0124%29 May →
nuke13–30.0318%29 May →
anubis13–2-0.0113%8 May →
dust25–130.0120%30 Apr →
inferno13–40.059%30 Apr →
nuke13–10.0717%30 Apr →
mirage10–13-0.0410%30 Apr →
ancient9–13-0.0817%30 Apr →
anubis13–30.0724%30 Apr →
inferno13–60.0829%30 Apr →
overpass13–40.0220%30 Apr →
cache13–00.0933%30 Apr →
anubis2–13-0.0317%17 Apr →
inferno11–13-0.029%17 Apr →
ancient13–7-0.044%17 Apr →
mirage9–130.0720%17 Apr →
dust213–60.0016%17 Apr →
overpass13–40.0717%17 Apr →
nuke13–10.1015%17 Apr →
anubis13–6-0.0017%17 Apr →
inferno13–8-0.0121%17 Apr →
dust213–90.0226%11 Apr →
overpass9–13-0.0510%4 Apr →
dust24–13-0.0415%4 Apr →
ancient10–130.0016%4 Apr →
inferno13–70.0419%4 Apr →
mirage13–6-0.0324%4 Apr →
nuke8–13-0.0917%4 Apr →
mirage13–10-0.0114%3 Apr →
anubis4–13-0.1027%3 Apr →
nuke9–130.0118%3 Apr →
overpass13–80.0917%13 Feb →
inferno7–130.0418%13 Feb →
dust212–160.0117%13 Feb →
overpass13–8-0.0010%31 Jan →
overpass9–130.0420%3 Jan →
overpass7–13-0.042%14 Nov →
nuke10–13-0.0019%14 Nov →
inferno11–130.0915%14 Nov →
overpass8–13-0.0116%12 Nov →
ancient5–13-0.0314%31 Oct →
train11–130.0720%11 Oct →
grail11–130.1017%27 Aug →
office13–20.1623%17 Aug →
dust213–20.069%14 Aug →
inferno13–3-0.0220%14 Aug →
mirage4–130.0219%8 Aug →

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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