NLS

NLS — CS2 Stats

BE76561197983904924[U:1:23639196]Steam profile ↗✓ No bans

2,223Tracked matches47%Win rate2021Tracked since
4,984Hours in CS
CSDB Rating4.4 DevelopingAll-Rounder
Premier CS Rating16,498Purple band · top ~22.4% of ranked players (population est.)
FaceitLevel 6 · 1,808 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (76 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,223 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,498 -7,653 22 Apr – 31 Aug · 4 days played
16,49824,151peak 24,15122 Apr31 Aug
24,151Peak Premier in tracked matches
1,808Highest Faceit ELO seen on CSDB
73Days played since 2025-04-22

Faceit ELO

  • At peak — 1,808
  • Next: Level 10 at 2,001 — 193 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-31
  • Level 8 first seen 2026-08-31

Premier CS Rating

  • 7,653 below peak (24,151)
  • Next: Pink band at 20,000 — 3,502 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-31
  • Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,777), 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 6 medianLevel 7 medianvs Level 7
Headshot rate54.1%44.8%45.7%above
Shot accuracy16.8%12.4%12.7%above
Kill/death ratio0.941.031.050.11 short
Match win rate44.9%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNLSFACEITLevel 6 · 1,808 ELOSTANDINGTop 54.0% of rankedPREMIER16,498 · Purple bandPEAK ELO1,808csdb.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

Aim46
Positioning46
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY48–52Last 10048%Win rateWLWLLLWLLW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −4.7pp headshot accuracy · +27ms 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 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 710ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 681ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 667ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim4.6
Utility4.7
Positioning4.6
Opening Duels4.2
Clutch3.0

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 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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 69% 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

Aim4.6
Positioning4.6
Utility4.7
Mechanics4.2
Opening Duels3.3
Win Impact3.9

Composite 4.4/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time651ms+90ms
first ⅓ avg 561ms → last ⅓ avg 651ms
Headshot accuracy24.8%+4.5%
first ⅓ avg 20.3% → last ⅓ avg 24.8%

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

0.17Best match rating · 13–3 · ancient, 22 Feb →
40%Best headshot accuracy · 13–8 · dust2, 22 Feb →
391msFastest reaction time · 4–13 · dust2, 10 Jun →
13–3Biggest win · ancient, 22 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
14–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2713–1448%-0.01
dust2B2010–1050%-0.01
ancientC176–1135%-0.00
mirageB137–654%-0.00
anubisC73–443%-0.02
nukeD72–529%0.00
overpassA53–260%-0.00
train—33–0100%0.03
cache—11–0100%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

206,460Lifetime kills
0.94K/D
5,016Matches
44.9%Match win rate
54.1%Headshot % · Top 25% of Level 6 players
16.8%Shot accuracy · Top 25% of Level 6 players
13,132MVPs
4,984Hours (in match)
6,235Bombs planted
1,623Bombs defused

Most-used weapons

AK-4770,649
AWP37,694
P2504,376
FAMAS4,353
Knife3,577

Lifetime map wins

16,800inferno
13,945dust2
3,176nuke
2,126train
990cbble
676vertigo
34italy
18office

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

Faceit stats

Combat

2,674Matches
49%Win rate
0.99Avg K/D
78.0ADR
54%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno30752%1.0916.5
Mirage28450%0.9815.2
Dust228049%1.0316.1
Ancient24447%1.0216.1
Anubis18445%0.9715.1
Nuke4538%1.0517.0
Overpass3741%0.9714.5
Train3361%1.0816.8

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.

24.3%Headshot accuracy
29.3%Accuracy (enemy spotted)
26.8%Spray accuracy
69.1%Counter-strafing
10.1°Preaim
652msReaction time
33.6%T opening success
52.9%CT opening success
0.49Enemies flashed / flash
4.3%Flash assists
5.19HE damage / grenade
12.92Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4943 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 33.6186% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0021%13 Jun →
anubis2–13-0.0728%9 Jun →
mirage13–60.0829%6 May →
mirage10–130.0330%6 May →
nuke6–13-0.0211%5 May →
inferno13–160.0124%23 Apr →
cache13–5-0.0128%23 Apr →
nuke7–13-0.0516%17 Apr →
ancient6–13-0.0614%17 Apr →
dust213–5-0.0515%16 Apr →
dust211–130.0127%16 Apr →
inferno13–7-0.0325%16 Apr →
anubis8–13-0.0621%7 Apr →
anubis13–110.0323%2 Apr →
inferno11–130.0626%25 Mar →
dust26–13-0.0030%24 Mar →
mirage13–11-0.0527%18 Mar →
anubis11–13-0.0232%17 Mar →
inferno13–8-0.0931%16 Mar →
mirage13–10-0.0220%25 Feb →
dust213–8-0.0240%22 Feb →
inferno14–160.0020%22 Feb →
overpass13–110.0423%22 Feb →
ancient13–30.1731%22 Feb →
ancient10–13-0.0326%22 Feb →
inferno8–13-0.0421%21 Feb →
dust27–13-0.017%21 Feb →
nuke13–110.0528%21 Feb →
inferno1–13-0.0538%20 Feb →
mirage13–40.0723%20 Feb →
ancient6–130.0624%20 Feb →
dust26–13-0.0535%31 Jan →
inferno8–130.0926%30 Jan →
nuke11–130.0237%29 Jan →
inferno13–11-0.0317%27 Jan →
nuke13–110.0416%23 Jan →
ancient13–8-0.0433%18 Jan →
inferno14–16-0.0031%18 Jan →
inferno6–13-0.0423%11 Jan →
inferno13–60.0521%10 Jan →
nuke10–130.0428%7 Jan →
dust28–130.0127%7 Jan →
ancient18–22-0.0133%6 Jan →
inferno13–60.1123%9 Dec →
train13–100.0732%12 Nov →
inferno6–13-0.0330%8 Oct →
ancient3–13-0.0420%24 Sept →
inferno10–130.0219%16 Sept →
dust213–9-0.0533%13 Sept →
ancient13–6-0.0324%12 Sept →
train13–70.0619%10 Sept →
dust213–110.0116%28 Aug →
overpass13–9-0.0531%28 Aug →
dust211–13-0.0030%27 Aug →
dust29–13-0.0336%24 Aug →
overpass15–19-0.0214%20 Aug →
inferno13–11-0.0117%18 Aug →
dust213–60.0318%17 Aug →
inferno13–6-0.0312%14 Aug →
ancient9–13-0.0118%12 Aug →
ancient17–19-0.0323%5 Aug →
ancient4–13-0.0525%27 Jul →
mirage6–130.0130%24 Jul →
ancient9–13-0.0633%24 Jul →
overpass13–70.0418%19 Jul →
overpass8–13-0.0120%18 Jul →
dust213–110.0128%14 Jul →
ancient13–80.0529%11 Jul →
ancient13–100.0510%9 Jul →
ancient13–110.0627%8 Jul →
anubis13–80.0420%26 Jun →
dust213–7-0.0215%26 Jun →
inferno14–160.0122%25 Jun →
anubis7–13-0.0011%20 Jun →
ancient8–130.017%18 Jun →
inferno13–60.0023%18 Jun →
ancient8–13-0.0729%10 Jun →
dust24–13-0.0320%10 Jun →
mirage13–90.0416%6 Jun →
train13–10-0.0228%5 Jun →
inferno19–17-0.038%5 Jun →
inferno13–11-0.0326%4 Jun →
mirage22–25-0.0012%26 May →
inferno13–110.0314%23 May →
dust213–16-0.0229%20 May →
mirage5–13-0.0418%19 May →
dust213–80.0128%19 May →
dust213–11-0.0217%14 May →
inferno13–100.0729%14 May →
nuke11–13-0.0518%14 May →
mirage12–16-0.0324%13 May →
dust22–13-0.0314%13 May →
mirage16–13-0.0212%12 May →
inferno6–13-0.1024%12 May →
dust219–150.0626%8 May →
mirage2–13-0.0731%7 May →
inferno5–13-0.0520%6 May →
anubis13–6-0.0410%2 May →
inferno8–13-0.0318%2 May →
inferno13–5-0.0337%22 Apr →

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 →

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