NAEJ

NAEJ — CS2 Stats

BR76561198104988952[U:1:144723224]Steam profile ↗

1,120Tracked matches70%Win rate2020Tracked since
3,164Hours in CS
CSDB Rating7.2 StrongPositional Player
Premier CS Rating24,766Top 25% of 204,097 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)
CSDB Leaderboard#24360 of 251172 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (yesterday). 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: 24,766 +2,027 3 Sept – 9 Oct · 6 days played
22,73924,766peak 24,7663 Sept9 Oct
24,766Peak Premier in tracked matches
41Days played since 2026-07-11

Premier CS Rating

  • At peak — 24,766
  • +1,541 over 30 days · improving
  • Next: Red band at 25,000 — 234 to go
  • Reached: Pink band · 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 4 among CSDB-tracked players (n=13,998), 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 rate41.1%42.7%43.7%2.7% short
Shot accuracy16.0%11.3%12.0%above
Kill/death ratio1.030.991.02meets
Match win rate49.0%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot 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.GGNAEJFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER24,766 · Pink 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

Aim73
Positioning71
Utility62

0–100 skill scores via Leetify.

Recent form

HOT68–31–1Last 10068%Win rateWWWWWWLLWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +0.2pp headshot accuracy · +41ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 559ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 602ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 581ms

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 (+2.2 against its own average).

Aim7.3
Utility6.2
Positioning7.1
Opening Duels4.6
Clutch1.8

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 578ms 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

Aim7.3
Positioning7.1
Utility6.2
Mechanics6.0
Opening Duels5.9
Win Impact10.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time570ms−51ms
first ⅓ avg 621ms → last ⅓ avg 570ms
Headshot accuracy16.6%−4.6%
first ⅓ avg 21.2% → last ⅓ avg 16.6%

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

0.26Best match rating · 9–2 · vertigo, 17 Sept →
50%Best headshot accuracy · 0–3 · mirage, 31 Aug →
375msFastest reaction time · 4–13 · dust2, 10 Sept →
13–1Biggest win · anubis, 23 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W6Current streak
13–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 78% over 23infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2620–677%0.02
anubisS2318–578%0.02
mirageS1913–668%0.02
infernoD124–833%0.02
cacheA85–363%0.00
nukeD62–433%-0.03
train—22–0100%0.09
vertigo—22–0100%0.14
ancient—22–0100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,095Lifetime kills
1.03K/D · Top 50% of Level 4 players
6,023Matches
49.0%Match win rate · Top 25% of Level 4 players
41.1%Headshot %
16.0%Shot accuracy · Top 25% of Level 4 players
16,937MVPs
3,164Hours (in match)
8,214Bombs planted
1,734Bombs defused

Most-used weapons

AK-4750,850
AWP18,565
Knife3,795
AUG3,416
MP92,945
MAC-102,907

Lifetime map wins

16,441inferno
7,688dust2
4,071train
3,420vertigo
2,894nuke
128cbble
31office
29ar_shoots

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

Faceit stats

Combat

59Matches
56%Win rate
1.02Avg K/D
88.1ADR
44%Headshot %

Clutches & streaks

29%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust2450%0.8113.5
Inferno450%1.0213.0
Vertigo10%1.0018.0
Nuke1100%2.0022.0
Mirage10%1.5326.0
Ancient1100%1.3818.0
Cache1100%1.4217.0

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.

16.9%Headshot accuracy
39.3%Accuracy (enemy spotted)
39.7%Spray accuracy
76.9%Counter-strafing
10.7°Preaim
578msReaction time
62.0%T opening success
45.3%CT opening success
0.60Enemies flashed / flash
7.0%Flash assists
9.12HE damage / grenade
10.90Flashes / match

Recommended for you

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno16–120.0723%9 Oct →
train13–80.0721%9 Oct →
train8–00.1233%9 Oct →
anubis13–9-0.028%7 Oct →
anubis13–80.0315%7 Oct →
anubis16–140.0220%7 Oct →
dust216–190.0214%6 Oct →
cache11–130.0315%6 Oct →
dust213–50.0115%5 Oct →
anubis13–9-0.007%2 Oct →
mirage13–70.0715%2 Oct →
anubis13–7-0.0414%2 Oct →
dust213–110.0925%1 Oct →
inferno11–130.0311%1 Oct →
dust213–7-0.0111%30 Sept →
dust213–100.0120%30 Sept →
inferno10–13-0.0711%30 Sept →
mirage16–19-0.0125%29 Sept →
cache13–8-0.0525%29 Sept →
mirage16–130.0113%28 Sept →
cache15–130.0214%25 Sept →
anubis5–130.0211%25 Sept →
anubis13–40.0513%25 Sept →
inferno11–13-0.0415%25 Sept →
dust210–13-0.0310%25 Sept →
vertigo13–80.0318%23 Sept →
nuke11–13-0.0421%22 Sept →
dust213–60.0629%19 Sept →
dust216–120.0424%19 Sept →
inferno13–100.0313%18 Sept →
anubis13–8-0.0310%18 Sept →
anubis10–13-0.0216%17 Sept →
inferno8–80.0213%17 Sept →
vertigo9–20.2618%17 Sept →
inferno5–90.0320%17 Sept →
anubis10–130.0315%16 Sept →
cache13–5-0.0112%16 Sept →
mirage13–10-0.0013%16 Sept →
anubis11–13-0.0310%16 Sept →
anubis13–30.0111%16 Sept →
dust213–110.0120%13 Sept →
nuke2–13-0.0323%13 Sept →
dust216–13-0.0014%13 Sept →
mirage13–70.0715%13 Sept →
anubis13–110.0414%13 Sept →
nuke13–90.0018%12 Sept →
dust213–40.1226%10 Sept →
anubis13–30.2037%10 Sept →
dust24–13-0.0416%10 Sept →
mirage8–130.0314%10 Sept →
dust213–50.0734%10 Sept →
anubis13–40.0313%4 Sept →
mirage14–160.0325%4 Sept →
inferno13–100.0817%4 Sept →
ancient13–40.0420%3 Sept →
ancient13–9-0.046%3 Sept →
nuke2–13-0.087%2 Sept →
dust24–13-0.0310%2 Sept →
inferno8–130.048%2 Sept →
nuke13–9-0.0015%1 Sept →
dust213–10-0.0214%1 Sept →
anubis13–50.0614%1 Sept →
anubis13–90.0416%1 Sept →
dust213–90.1018%31 Aug →
mirage13–6-0.0016%31 Aug →
anubis13–100.0113%31 Aug →
mirage0–30.0250%31 Aug →
cache10–130.0016%28 Aug →
nuke7–13-0.0221%28 Aug →
dust213–90.0624%28 Aug →
mirage17–19-0.0214%28 Aug →
cache13–20.0732%28 Aug →
mirage11–130.0119%28 Aug →
anubis6–130.0221%26 Aug →
cache6–13-0.0321%20 Aug →
anubis13–110.0119%18 Aug →
mirage19–160.0116%18 Aug →
mirage13–6-0.0319%17 Aug →
mirage13–100.1128%17 Aug →
anubis13–110.0213%12 Aug →
mirage13–10-0.0322%12 Aug →
dust213–30.1326%10 Aug →
dust213–110.0127%10 Aug →
mirage13–8-0.0118%10 Aug →
mirage13–110.0223%7 Aug →
inferno10–130.0116%6 Aug →
mirage13–60.0813%6 Aug →
anubis13–80.0026%6 Aug →
cache13–8-0.0117%6 Aug →
dust216–140.0325%1 Aug →
dust213–110.0021%31 Jul →
mirage13–20.0515%25 Jul →
anubis13–10.0624%23 Jul →
inferno22–200.0032%23 Jul →
dust20–6-0.0829%21 Jul →
inferno11–130.0220%21 Jul →
dust213–10-0.0730%21 Jul →
dust213–90.0215%18 Jul →
dust27–13-0.0713%15 Jul →
dust213–110.0127%11 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.