N11ll33xx

N11ll33xx — CS2 Stats

76561197987841366[U:1:27575638]Steam profile ↗✓ No bans

1,959Tracked matches28%Win rate2023Tracked since
1,000Hours in CS
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating13,378Blue band · top ~37% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (5 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 18 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,378 +1,798 18 Jul15 Sept · 19 days played
11,58015,243peak 15,24318 Jul15 Sept
15,418Peak Premier in tracked matches
26Days played since 2026-07-18

Premier CS Rating

  • 1,865 below peak (15,243)
  • -1,865 over 30 days · declining
  • Next: Purple band at 15,000 1,622 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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 Blue band among CSDB-tracked players (n=20,242), 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 rate36.6%41.9%44.3%7.7% short
Shot accuracy5.4%9.6%11.8%6.5% short
Kill/death ratio0.860.981.030.17 short
Match win rate40.2%43.8%45.2%5.0% short

This profile sits below the typical Purple band player on every metric we can compare.

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.

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CSDB.GGN11ll33xxPREMIER13,378 · Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48448Last 10048%Win rateLLWWWWWLLT

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +1.4pp headshot accuracy · +16ms reaction

Win rate up 40pp 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

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 644ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 634ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+4.1 against its own average).

Aim4.0
Utility4.5
Positioning5.2
Opening Duels2.2
Clutch9.4

Limited utility dependenceReliable in 1v1s

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 71% 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

Reaction time. 611ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.0
Positioning5.2
Utility4.5
Mechanics4.0
Opening Duels2.9
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time608ms−69ms
first ⅓ avg 678ms → last ⅓ avg 608ms
Headshot accuracy11.8%−0.7%
first ⅓ avg 12.5% → last ⅓ avg 11.8%

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

0.24Best match rating · 9–2 · inferno, 26 Jul
30%Best headshot accuracy · 9–13 · cache, 21 Jul
406msFastest reaction time · 6–13 · anubis, 20 Aug
13–2Biggest win · anubis, 1 Aug

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
86In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 80% over 5dust2Weakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D2571828%-0.04
cacheB1910953%-0.05
infernoA169756%-0.00
anubisS118373%-0.03
mirageA116555%-0.03
ancientS54180%-0.02
nuke42250%0.00
office3030%-0.03
train21150%-0.04
italy110100%-0.03
shelter1010%0.13
vertigo1010%-0.03
overpass1010%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,843Lifetime kills
0.86K/D
3,249Matches
40.2%Match win rate
36.6%Headshot %
5.4%Shot accuracy
6,127MVPs
1,000Hours (in match)
3,555Bombs planted
529Bombs defused

Most-used weapons

AK-478,587
MP91,605
MP71,533
SG 5531,060
AWP853

Lifetime map wins

4,058inferno
3,814dust2
3,107nuke
2,099office
1,163vertigo
394train
381cbble
366lake

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

Faceit stats

Combat

55Matches
47%Win rate
0.82Avg K/D
67.2ADR
39%Headshot %

Clutches & streaks

67%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.8213.0
Vertigo825%0.619.4
Anubis786%1.2214.9
Inferno650%1.0713.0
Nuke667%0.7212.0
Dust2580%0.7511.6
Overpass50%0.5811.4
Ancient425%0.6210.5

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.

12.1%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.9%Spray accuracy
67.9%Counter-strafing
11.0°Preaim
611msReaction time
39.1%T opening success
43.8%CT opening success
0.58Enemies flashed / flash
2.0%Flash assists
8.94HE damage / grenade
4.99Flashes / 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. 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 12.0828% — below the 15% mark we flag

    Aim Training
  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 39.0527% — 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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.109%18 Sept
dust24–13-0.078%15 Sept
nuke9–50.1211%15 Sept
ancient13–11-0.0112%15 Sept
anubis13–9-0.0215%15 Sept
anubis13–10-0.0216%11 Sept
dust213–110.008%11 Sept
inferno11–13-0.0311%4 Sept
ancient10–13-0.0513%4 Sept
office12–12-0.0415%3 Sept
office9–13-0.0318%3 Sept
dust25–13-0.0417%3 Sept
cache3–13-0.085%3 Sept
cache5–13-0.0910%27 Aug
cache7–13-0.089%27 Aug
cache8–13-0.105%27 Aug
dust29–13-0.0611%21 Aug
cache5–13-0.0411%21 Aug
italy13–11-0.039%21 Aug
shelter10–130.139%21 Aug
mirage16–13-0.0518%20 Aug
anubis6–13-0.075%20 Aug
dust28–13-0.0321%18 Aug
dust27–13-0.0515%18 Aug
mirage7–130.0214%18 Aug
dust211–13-0.0516%18 Aug
cache13–10-0.0310%18 Aug
cache10–13-0.0511%18 Aug
ancient13–11-0.0016%18 Aug
dust28–13-0.0014%17 Aug
inferno1–13-0.098%17 Aug
anubis11–13-0.0413%17 Aug
mirage3–13-0.108%17 Aug
inferno11–13-0.0310%16 Aug
dust213–40.0025%16 Aug
nuke9–130.0214%16 Aug
inferno7–9-0.037%15 Aug
nuke4–13-0.114%15 Aug
dust213–11-0.068%15 Aug
cache13–60.0511%15 Aug
anubis15–15-0.037%14 Aug
train8–13-0.014%14 Aug
office12–12-0.028%12 Aug
train13–9-0.0711%12 Aug
dust26–130.0318%12 Aug
inferno12–12-0.0411%11 Aug
mirage5–130.0011%11 Aug
vertigo12–12-0.0312%1 Aug
overpass12–12-0.0013%1 Aug
mirage13–5-0.1117%1 Aug
mirage4–13-0.0618%1 Aug
nuke13–11-0.0115%1 Aug
cache13–11-0.0913%1 Aug
inferno12–12-0.0414%1 Aug
anubis13–2-0.0120%1 Aug
dust213–30.0122%31 Jul
dust29–13-0.076%31 Jul
dust212–120.0611%31 Jul
mirage13–6-0.053%31 Jul
mirage13–70.019%31 Jul
inferno9–00.1914%31 Jul
anubis16–14-0.0321%30 Jul
cache13–3-0.0625%30 Jul
inferno13–6-0.0113%30 Jul
inferno16–12-0.044%27 Jul
cache13–6-0.0910%27 Jul
inferno13–4-0.034%27 Jul
dust210–13-0.0414%26 Jul
cache13–9-0.119%26 Jul
dust213–3-0.128%26 Jul
inferno9–20.2416%26 Jul
inferno2–9-0.138%26 Jul
dust213–8-0.0512%24 Jul
cache13–7-0.007%24 Jul
mirage16–13-0.0411%24 Jul
anubis13–10-0.0410%24 Jul
mirage2–13-0.1010%24 Jul
dust29–13-0.048%23 Jul
dust21–13-0.1013%23 Jul
dust211–13-0.0119%22 Jul
anubis13–7-0.0412%22 Jul
cache9–13-0.0415%22 Jul
inferno13–6-0.0517%22 Jul
inferno16–13-0.0215%22 Jul
cache13–2-0.0422%22 Jul
dust213–9-0.0314%22 Jul
cache13–3-0.044%22 Jul
dust28–13-0.0713%22 Jul
inferno13–50.0719%22 Jul
dust29–13-0.0712%22 Jul
cache9–13-0.0230%21 Jul
anubis13–100.0110%21 Jul
cache7–13-0.0913%21 Jul
ancient13–50.024%19 Jul
mirage13–60.0912%19 Jul
anubis13–30.0410%18 Jul
ancient13–10-0.0411%18 Jul
cache13–70.0515%18 Jul
inferno13–6-0.026%18 Jul
dust28–13-0.0413%18 Jul

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 →