Lj

Lj — CS2 Stats

US76561199085131906[U:1:1124866178]Steam profile ↗✓ No bans

3,260Tracked matches55%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Premier CS Rating21,141Top 50% of 213,740 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#68307 of 260212 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 21,141 -191 27 Oct – 4 Nov · 9 days played
20,37122,292peak 22,29227 Oct4 Nov
22,569Peak Premier in tracked matches
12Days played since 2026-10-27

Premier CS Rating

  • 1,151 below peak (22,292)
  • Next: Red band at 25,000 — 3,859 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.

Share this profile

CSDB.GGLjFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,141 · Pink bandcsdb.gg/stats

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Performance scores

Aim88
Positioning61
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateWLLWWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · +3.5pp headshot accuracy · +37ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 519ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 566ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 547ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim8.8
Utility6.4
Positioning6.1
Opening Duels2.8

Sharp aimer

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

iM

Plays most like iM 91% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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

Aim8.8
Positioning6.1
Utility6.4
Mechanics6.9
Opening Duels3.2
Win Impact6.7

Composite 7.0/10 (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 rating0.04+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time541ms−19ms
first ⅓ avg 560ms → last ⅓ avg 541ms
Headshot accuracy23.6%+2.3%
first ⅓ avg 21.3% → last ⅓ avg 23.6%

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

0.21Best match rating · 13–5 · inferno, 28 Oct →
45%Best headshot accuracy · 6–13 · dust2, 30 Oct →
375msFastest reaction time · 8–0 · ancient, 6 Nov →
13–1Biggest win · ancient, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 83% over 6mirageWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B3618–1850%0.03
mirageC167–944%0.04
infernoA148–657%0.05
ancientA106–460%0.03
cacheA95–456%0.02
nukeS65–183%0.04
anubis—42–250%0.01
office—31–233%0.00
train—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

23.9%Headshot accuracy
36.1%Accuracy (enemy spotted)
41.3%Spray accuracy
81.1%Counter-strafing
7.7°Preaim
544msReaction time
38.7%T opening success
47.1%CT opening success
0.62Enemies flashed / flash
7.1%Flash assists
8.70HE damage / grenade
11.79Flashes / 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

    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 38.7288% — 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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0340%7 Nov →
office6–130.0017%7 Nov →
anubis9–130.0136%7 Nov →
ancient8–00.0222%6 Nov →
inferno13–80.0319%6 Nov →
dust213–70.0730%6 Nov →
ancient6–13-0.0813%6 Nov →
inferno13–40.0641%6 Nov →
mirage6–130.0224%5 Nov →
dust26–13-0.0523%5 Nov →
dust213–90.0124%4 Nov →
mirage12–120.0819%4 Nov →
dust27–130.0425%4 Nov →
nuke13–70.1427%4 Nov →
inferno9–130.0119%4 Nov →
dust213–70.0625%4 Nov →
ancient13–30.0723%3 Nov →
dust213–50.1429%3 Nov →
cache13–100.0422%3 Nov →
dust26–130.0620%2 Nov →
inferno10–13-0.0129%2 Nov →
mirage13–110.0818%2 Nov →
dust213–50.0219%2 Nov →
train7–13-0.0017%2 Nov →
office13–70.0121%2 Nov →
mirage5–13-0.0613%2 Nov →
dust213–80.1429%2 Nov →
ancient2–13-0.0214%2 Nov →
inferno6–130.1123%2 Nov →
dust213–70.1830%2 Nov →
dust213–90.0535%1 Nov →
cache13–50.0516%1 Nov →
dust26–130.0218%1 Nov →
dust23–130.0126%1 Nov →
ancient13–10.1322%1 Nov →
dust213–10.1418%1 Nov →
cache15–150.0414%1 Nov →
inferno13–50.0719%1 Nov →
mirage2–13-0.0413%1 Nov →
dust24–13-0.0419%1 Nov →
ancient13–60.0624%1 Nov →
nuke13–100.0518%1 Nov →
dust213–60.0922%1 Nov →
dust212–12-0.0711%31 Oct →
inferno6–13-0.0319%31 Oct →
mirage11–130.0217%31 Oct →
anubis11–130.0122%31 Oct →
dust26–130.0317%31 Oct →
dust211–130.0017%31 Oct →
dust213–70.0336%31 Oct →
office7–130.0029%31 Oct →
dust213–11-0.0316%30 Oct →
ancient6–130.0615%30 Oct →
cache13–80.0425%30 Oct →
inferno10–130.0117%30 Oct →
mirage13–50.0123%30 Oct →
dust26–13-0.0345%30 Oct →
cache1–6-0.0119%30 Oct →
inferno13–60.0617%30 Oct →
mirage13–70.1232%30 Oct →
mirage13–30.0418%30 Oct →
dust25–130.0318%30 Oct →
dust29–130.0917%30 Oct →
dust28–13-0.0021%30 Oct →
nuke7–13-0.0221%29 Oct →
inferno16–140.0511%29 Oct →
anubis16–12-0.038%29 Oct →
cache13–30.0622%29 Oct →
dust20–13-0.0923%29 Oct →
dust211–13-0.0715%29 Oct →
cache1–13-0.0532%29 Oct →
inferno13–40.0526%29 Oct →
mirage6–130.0528%29 Oct →
dust213–50.0119%29 Oct →
nuke13–40.0622%29 Oct →
dust27–13-0.0216%29 Oct →
train13–80.0218%29 Oct →
anubis13–100.0224%29 Oct →
nuke16–140.0514%29 Oct →
inferno4–13-0.0713%28 Oct →
dust213–70.0729%28 Oct →
dust26–13-0.0420%28 Oct →
mirage13–40.0320%28 Oct →
mirage11–130.0120%28 Oct →
dust213–60.0116%28 Oct →
inferno13–50.2124%28 Oct →
dust210–130.0217%28 Oct →
ancient13–50.099%28 Oct →
cache13–160.0321%28 Oct →
mirage13–90.1329%28 Oct →
inferno13–50.1724%28 Oct →
mirage11–130.1221%28 Oct →
ancient13–110.0219%28 Oct →
mirage5–60.0416%27 Oct →
ancient7–13-0.0526%27 Oct →
dust213–60.1025%27 Oct →
dust213–80.0825%27 Oct →
mirage13–40.0718%27 Oct →
dust213–70.0730%27 Oct →
nuke13–9-0.0321%27 Oct →

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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