Julli

Julli — CS2 Stats

FI76561198943836398[U:1:983570670]Steam profile ↗✓ No bans

3,854Tracked matches59%Win rate2020Tracked since
CSDB Rating7.3 StrongSupport
Premier CS Rating22,333Top 50% of 204,793 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#50255 of 251938 tracked
FaceitLevel 9 · 1,643 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 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.

Rating over time

Premier CS Rating: 22,333 +4,597 11 Sept – 10 Oct · 16 days played
17,73622,760peak 22,76011 Sept10 Oct
22,760Peak Premier in tracked matches
1,643Highest Faceit ELO seen on CSDB
18Days played since 2026-09-11

Faceit ELO

  • At peak — 1,643
  • Next: Level 9 at 1,751 — 108 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-11
  • Level 7 first seen 2026-09-11

Premier CS Rating

  • 427 below peak (22,760)
  • +4,597 over 30 days · improving
  • Next: Red band at 25,000 — 2,667 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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.GGJulliFACEITLevel 9 · 1,643 ELOSTANDINGTop 20.7% of rankedPREMIER22,333 · Pink bandPEAK ELO1,643csdb.gg/stats

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Performance scores

Aim78
Positioning63
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLWWLWWWLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −3.6pp headshot accuracy · −2ms 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 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 538ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 559ms

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 (+1.9 against its own average).

Aim7.8
Utility7.1
Positioning6.3
Opening Duels3.8
Clutch3.6

Effective flashes

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 566ms 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

Aim7.8
Positioning6.3
Utility7.1
Mechanics7.3
Opening Duels6.2
Win Impact7.9

Composite 7.3/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time593ms+11ms
first ⅓ avg 582ms → last ⅓ avg 593ms
Headshot accuracy16.3%−4.3%
first ⅓ avg 20.6% → last ⅓ avg 16.3%

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

0.32Best match rating · 5–1 · rush_001, 5 Oct →
47%Best headshot accuracy · 5–1 · rush_001, 5 Oct →
367msFastest reaction time · 6–2 · rush_001, 1 Oct →
13–0Biggest win · anubis, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 75% over 12dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
vertigoC219–1243%0.05
rush_001A149–564%0.07
dust2D134–931%0.01
ancientS128–467%0.01
mirageS129–375%0.01
anubisA95–456%0.01
infernoS96–367%0.04
nukeC52–340%0.01
cache—43–175%0.07
debris—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

716Matches
53%Win rate
1.12Avg K/D
82.3ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12352%1.0716.2
Ancient7749%1.1617.9
Nuke5859%1.1516.8
Dust22850%1.1017.7
Inferno2352%0.9514.7
Overpass2060%1.1315.6
Anubis1250%1.1517.0
Train650%1.0816.0

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.

17.5%Headshot accuracy
37.4%Accuracy (enemy spotted)
39.8%Spray accuracy
83.1%Counter-strafing
9.9°Preaim
566msReaction time
62.5%T opening success
47.4%CT opening success
0.74Enemies flashed / flash
10.3%Flash assists
10.72HE damage / grenade
12.17Flashes / match

Recommended for you

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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.074%10 Oct →
vertigo13–90.0813%10 Oct →
cache13–30.0815%10 Oct →
anubis11–13-0.0413%10 Oct →
nuke13–70.1316%9 Oct →
inferno13–5-0.0222%9 Oct →
inferno13–70.1116%9 Oct →
dust23–13-0.129%9 Oct →
vertigo8–12-0.0316%9 Oct →
anubis13–11-0.0118%9 Oct →
ancient13–6-0.0415%9 Oct →
dust215–150.0021%9 Oct →
mirage13–7-0.0118%9 Oct →
vertigo13–80.1316%8 Oct →
dust211–130.0318%8 Oct →
ancient16–130.0311%8 Oct →
mirage13–16-0.0030%8 Oct →
mirage13–60.0214%7 Oct →
mirage9–13-0.0033%7 Oct →
vertigo1–9-0.033%7 Oct →
debris9–60.0714%7 Oct →
vertigo13–70.1016%7 Oct →
vertigo13–10.0819%6 Oct →
mirage13–90.0419%5 Oct →
dust213–60.0413%5 Oct →
dust210–130.0825%5 Oct →
rush_0018–60.056%5 Oct →
rush_0015–10.3247%5 Oct →
vertigo6–90.0411%5 Oct →
vertigo9–40.0120%5 Oct →
rush_0016–20.229%5 Oct →
vertigo0–4-0.100%5 Oct →
dust21–13-0.0818%4 Oct →
ancient13–80.1216%4 Oct →
anubis5–13-0.0214%4 Oct →
vertigo9–130.0517%4 Oct →
inferno13–110.0324%3 Oct →
vertigo9–40.1621%3 Oct →
ancient13–6-0.0413%3 Oct →
dust211–130.0820%3 Oct →
inferno8–130.0630%3 Oct →
ancient11–130.0917%3 Oct →
dust213–11-0.0111%3 Oct →
cache13–40.0519%3 Oct →
dust24–13-0.0519%3 Oct →
inferno13–50.0216%3 Oct →
rush_0015–80.0523%3 Oct →
cache13–30.0915%3 Oct →
anubis13–00.0620%3 Oct →
anubis13–6-0.0615%3 Oct →
inferno13–50.1027%3 Oct →
vertigo13–50.0812%3 Oct →
dust23–60.0938%2 Oct →
inferno13–110.0728%2 Oct →
anubis11–130.0330%2 Oct →
dust213–9-0.0130%2 Oct →
ancient11–130.0118%2 Oct →
ancient13–100.0121%2 Oct →
rush_0016–8-0.0730%2 Oct →
ancient6–13-0.048%2 Oct →
nuke10–13-0.0527%2 Oct →
dust213–20.1018%2 Oct →
vertigo10–130.0617%2 Oct →
rush_0015–10.089%1 Oct →
rush_0014–00.239%1 Oct →
rush_0011–5-0.0429%1 Oct →
rush_0016–20.0714%1 Oct →
rush_0011–50.0120%1 Oct →
rush_0018–5-0.0636%30 Sept →
anubis13–100.0421%30 Sept →
cache9–130.0519%30 Sept →
inferno6–13-0.0325%30 Sept →
rush_0015–8-0.0643%30 Sept →
rush_0015–10.0626%30 Sept →
rush_0015–10.1926%30 Sept →
anubis13–10-0.0118%29 Sept →
mirage13–6-0.0324%29 Sept →
ancient13–70.0121%29 Sept →
dust28–130.0521%29 Sept →
vertigo13–100.1120%29 Sept →
vertigo11–130.0315%29 Sept →
ancient13–100.0322%29 Sept →
mirage13–11-0.0416%29 Sept →
ancient15–150.027%27 Sept →
mirage13–110.0617%27 Sept →
vertigo11–130.0422%27 Sept →
nuke9–130.0127%24 Sept →
nuke13–50.0619%24 Sept →
vertigo10–130.1127%24 Sept →
vertigo1–13-0.039%24 Sept →
vertigo10–130.0416%24 Sept →
mirage13–7-0.0018%23 Sept →
inferno14–16-0.0321%23 Sept →
anubis15–150.0719%23 Sept →
ancient13–10-0.0417%22 Sept →
mirage2–130.0319%22 Sept →
vertigo9–30.0922%22 Sept →
mirage13–9-0.0514%21 Sept →
mirage13–70.1015%21 Sept →
vertigo11–13-0.0118%15 Sept →

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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