TheJulu

TheJulu — CS2 Stats

76561198130313075[U:1:170047347]Steam profile ↗✓ No bans

1,759Tracked matches64%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating23,521Top 25% of 204,793 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#36343 of 251872 tracked
FaceitLevel 10 · 2,032 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (4 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: 23,521 +2,621 25 Jul – 11 Oct · 28 days played
20,90024,601peak 24,60125 Jul11 Oct
Faceit ELO: 2,032 +0 17 Sept – 26 Sept · 2 observations
2,0322,032peak 2,03217 Sept26 Sept
24,999Peak Premier in tracked matches
2,032Highest Faceit ELO seen on CSDB
32Days played since 2026-07-25

Faceit ELO

  • At peak — 2,032
  • Next: 2,500 ELO at 2,500 — 468 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-17
  • Level 9 first seen 2026-09-17

Premier CS Rating

  • 1,080 below peak (24,601)
  • -718 over 30 days · declining
  • +2,621 over 90 days
  • Next: Red band at 25,000 — 1,479 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-17
  • Purple band first seen 2026-09-17

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.

Share this profile

CSDB.GGTheJuluFACEITLevel 10 · 2,032 ELOSTANDINGTop 12.4% of rankedPREMIER23,521 · Pink bandPEAK ELO2,032csdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY53–41–6Last 10053%Win rateWLWWLWWLWT

Last 10 vs previous 10: +20pp win rate · +0.09 avg rating · +0.9pp headshot accuracy · −27ms reaction

Win rate up 20pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 564ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 587ms

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 (+1.3 against its own average).

Aim7.5
Utility4.3
Positioning5.8
Opening Duels3.4
Clutch4.6

Strong CT-side opener

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim7.5
Positioning5.8
Utility4.3
Mechanics5.7
Opening Duels4.9
Win Impact9.8

Composite 6.5/10 (Solid), 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 rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time591ms−23ms
first ⅓ avg 614ms → last ⅓ avg 591ms
Headshot accuracy20.2%+3.4%
first ⅓ avg 16.8% → last ⅓ avg 20.2%

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

0.15Best match rating · 13–9 · ancient, 4 Oct →
44%Best headshot accuracy · 13–5 · cache, 20 Aug →
336msFastest reaction time · 4–0 · nuke, 25 Jul →
13–1Biggest win · mirage, 8 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–3In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 59% over 27infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2716–1159%0.01
ancientA1810–856%0.01
cacheC167–944%0.01
dust2C167–944%-0.02
nukeB105–550%0.02
infernoC73–443%-0.00
anubis—33–0100%-0.00
vertigo—11–0100%0.04
overpass—11–0100%-0.03
train—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,546Matches
50%Win rate
1.00Avg K/D
76.8ADR
41%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage17251%1.0915.0
Ancient7659%1.1516.0
Dust26448%1.0515.6
Inferno5456%1.1015.7
Anubis4553%1.1215.3
Nuke4344%1.0617.0
Vertigo3537%0.8714.2
Train1338%1.0515.6

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.

20.3%Headshot accuracy
35.2%Accuracy (enemy spotted)
41.3%Spray accuracy
75.7%Counter-strafing
8.8°Preaim
594msReaction time
39.9%T opening success
59.7%CT opening success
0.42Enemies flashed / flash
3.0%Flash assists
4.28HE damage / grenade
5.73Flashes / 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 0.4198 — 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 39.8605% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0819%12 Oct →
inferno6–130.0527%11 Oct →
mirage13–100.0124%11 Oct →
cache13–100.0420%11 Oct →
cache8–13-0.0417%11 Oct →
inferno16–13-0.0612%8 Oct →
vertigo9–30.0420%8 Oct →
cache9–130.0515%4 Oct →
ancient13–90.1524%4 Oct →
mirage12–120.0429%4 Oct →
inferno5–9-0.2120%3 Oct →
overpass9–6-0.0320%22 Sept →
mirage12–120.0121%19 Sept →
inferno9–30.0629%19 Sept →
cache8–13-0.0817%10 Sept →
ancient9–13-0.0426%10 Sept →
dust213–11-0.0819%10 Sept →
dust20–13-0.170%10 Sept →
cache13–11-0.0322%9 Sept →
mirage4–130.0024%2 Sept →
cache7–13-0.0412%28 Aug →
anubis16–13-0.0717%28 Aug →
dust25–10-0.0339%25 Aug →
ancient13–50.1213%25 Aug →
anubis13–60.0615%25 Aug →
mirage13–60.0111%24 Aug →
dust213–3-0.075%24 Aug →
dust213–110.0127%21 Aug →
cache13–70.0518%21 Aug →
mirage10–130.0025%21 Aug →
dust213–90.0317%20 Aug →
cache13–5-0.0244%20 Aug →
mirage13–110.1319%20 Aug →
inferno13–50.1418%20 Aug →
ancient8–13-0.039%20 Aug →
mirage13–40.0720%20 Aug →
dust211–130.0618%18 Aug →
cache3–13-0.0718%17 Aug →
cache13–20.1314%17 Aug →
ancient6–130.0324%17 Aug →
nuke5–130.0120%16 Aug →
dust210–13-0.028%16 Aug →
ancient13–100.0420%16 Aug →
mirage13–80.0414%16 Aug →
ancient13–60.0211%16 Aug →
dust22–13-0.0116%16 Aug →
nuke15–150.0317%16 Aug →
mirage13–4-0.0122%16 Aug →
ancient13–50.1519%14 Aug →
dust24–13-0.0715%14 Aug →
cache9–130.0613%13 Aug →
inferno3–130.0112%13 Aug →
train1–13-0.0525%13 Aug →
ancient13–20.0324%13 Aug →
mirage9–13-0.0619%13 Aug →
mirage13–80.0335%13 Aug →
mirage13–8-0.0131%13 Aug →
cache8–13-0.0018%11 Aug →
anubis13–4-0.0114%11 Aug →
mirage13–16-0.068%11 Aug →
ancient9–13-0.0515%11 Aug →
cache13–30.0521%9 Aug →
ancient6–13-0.0310%9 Aug →
nuke13–20.036%9 Aug →
dust213–60.0310%9 Aug →
mirage13–90.0422%9 Aug →
mirage15–150.0119%9 Aug →
mirage8–13-0.0523%8 Aug →
inferno6–13-0.0011%8 Aug →
dust215–150.0210%8 Aug →
cache10–13-0.0120%8 Aug →
dust214–16-0.0120%8 Aug →
mirage13–10.067%8 Aug →
mirage13–11-0.0216%6 Aug →
mirage6–10.0616%6 Aug →
mirage13–40.0316%5 Aug →
cache12–160.0013%2 Aug →
dust214–16-0.048%2 Aug →
ancient13–7-0.058%2 Aug →
nuke5–13-0.088%2 Aug →
mirage10–13-0.0315%2 Aug →
nuke8–130.0114%2 Aug →
ancient7–13-0.079%2 Aug →
dust213–60.0121%30 Jul →
mirage13–90.0419%30 Jul →
dust213–30.0527%30 Jul →
ancient16–130.0121%29 Jul →
ancient7–13-0.0111%29 Jul →
mirage15–150.0321%28 Jul →
mirage5–13-0.0521%28 Jul →
nuke13–20.0224%28 Jul →
ancient13–9-0.0520%28 Jul →
nuke13–11-0.0119%28 Jul →
cache13–80.0515%27 Jul →
mirage13–90.0321%27 Jul →
nuke8–13-0.029%26 Jul →
ancient13–100.0726%26 Jul →
mirage13–80.0421%25 Jul →
nuke4–00.1025%25 Jul →
ancient5–13-0.0319%25 Jul →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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