Julian

Julian — CS2 Stats

US76561198233517172[U:1:273251444]Steam profile ↗✓ No bans

3,194Tracked matches46%Win rate2020Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating25,651Top 10% of 206,528 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15332 of 253584 tracked
FaceitLevel 10 · 2,504 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (13 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: 25,651 -925 13 May – 6 Oct · 17 days played
25,29926,925peak 26,92513 May6 Oct
Faceit ELO: 2,504 +0 29 Aug – 1 Sept · 3 observations
2,5042,504peak 2,50429 Aug1 Sept
27,030Peak Premier in tracked matches
2,504Highest Faceit ELO seen on CSDB
47Days played since 2026-04-19

Faceit ELO

  • At peak — 2,504
  • Next: 3,000 ELO at 3,000 — 496 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

Premier CS Rating

  • 1,274 below peak (26,925)
  • +113 over 30 days · steady
  • -993 over 90 days
  • Next: Gold band at 30,000 — 4,349 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-29
  • Pink band first seen 2026-08-29

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.GGJulianFACEITLevel 10 · 2,504 ELOSTANDINGTop 12.4% of rankedPREMIER25,651 · Red bandPEAK ELO2,504csdb.gg/stats

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Performance scores

Aim76
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateWTLLLTLLWL

Last 10 vs previous 10: −30pp win rate · +0.02 avg rating · −1.0pp headshot accuracy · −6ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 522ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 528ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 531ms

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 (+1.4 against its own average).

Aim7.6
Utility4.6
Positioning5.6
Opening Duels2.3
Clutch4.2

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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 →

CSDB Rating breakdown

Aim7.6
Positioning5.6
Utility4.6
Mechanics5.7
Opening Duels2.1
Win Impact3.8

Composite 5.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time548ms−71ms
first ⅓ avg 619ms → last ⅓ avg 548ms
Headshot accuracy22.8%−1.3%
first ⅓ avg 24.1% → last ⅓ avg 22.8%

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

0.16Best match rating · 13–7 · dust2, 22 Jun →
41%Best headshot accuracy · 16–12 · cache, 14 May →
438msFastest reaction time · 9–13 · inferno, 16 Sept →
13–1Biggest win · ancient, 14 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
6–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.01
ancientB2311–1248%-0.01
mirageC188–1044%0.00
anubisS139–469%0.01
nukeS75–271%0.01
cacheA74–357%0.03
infernoC52–340%0.01
overpass—10–10%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,031Matches
53%Win rate
1.08Avg K/D
78.0ADR
56%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient32158%1.0816.1
Anubis24958%1.1116.1
Dust221549%0.9514.1
Mirage9949%0.9814.6
Nuke7957%1.0815.9
Vertigo4751%1.1417.3
Inferno3348%1.0215.4
Train2839%1.0316.4

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.

23.6%Headshot accuracy
33.2%Accuracy (enemy spotted)
40.2%Spray accuracy
75.9%Counter-strafing
10.2°Preaim
549msReaction time
32.4%T opening success
44.4%CT opening success
0.48Enemies flashed / flash
5.7%Flash assists
5.47HE damage / grenade
8.52Flashes / 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 0.4794 — 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 32.4323% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke16–130.0136%6 Oct →
nuke8–80.0624%6 Oct →
inferno7–90.0419%6 Oct →
mirage6–13-0.0215%25 Sept →
cache4–130.1035%25 Sept →
ancient15–15-0.0321%23 Sept →
ancient23–25-0.0119%16 Sept →
inferno9–13-0.0413%16 Sept →
anubis13–9-0.0424%16 Sept →
mirage14–160.0431%8 Sept →
nuke19–17-0.0330%8 Sept →
dust213–6-0.0113%8 Sept →
dust28–13-0.0433%3 Sept →
inferno13–100.0021%1 Sept →
dust21–13-0.0716%11 Aug →
ancient8–13-0.0232%11 Aug →
anubis28–250.0623%7 Aug →
anubis3–110.0023%6 Aug →
mirage7–13-0.0741%6 Aug →
anubis13–70.0815%6 Aug →
anubis13–80.0123%4 Aug →
nuke6–13-0.0322%3 Aug →
nuke13–80.0427%29 Jul →
dust25–13-0.0628%27 Jul →
dust213–5-0.0421%25 Jul →
cache13–60.0018%25 Jul →
anubis13–70.0121%25 Jul →
mirage12–120.0421%24 Jul →
dust211–130.0320%20 Jul →
dust21–13-0.090%19 Jul →
mirage13–90.0122%19 Jul →
mirage10–13-0.0232%19 Jul →
ancient13–4-0.1115%19 Jul →
dust213–9-0.0524%19 Jul →
dust213–50.0428%19 Jul →
nuke13–10-0.0128%18 Jul →
ancient13–100.0122%18 Jul →
ancient13–50.0522%18 Jul →
cache13–110.0221%18 Jul →
mirage13–90.0133%18 Jul →
dust216–14-0.0131%18 Jul →
cache5–13-0.0827%17 Jul →
mirage0–13-0.040%17 Jul →
mirage13–60.0030%17 Jul →
dust213–80.0128%17 Jul →
ancient11–13-0.0118%17 Jul →
anubis13–70.0022%16 Jul →
mirage13–90.0113%16 Jul →
ancient11–13-0.0124%16 Jul →
dust20–13-0.060%16 Jul →
ancient7–13-0.0326%16 Jul →
anubis13–6-0.0112%14 Jul →
ancient13–10.0431%14 Jul →
dust213–110.0328%13 Jul →
ancient13–3-0.0213%12 Jul →
anubis13–30.0420%11 Jul →
ancient8–13-0.0415%10 Jul →
dust27–13-0.0324%6 Jul →
dust26–130.0239%5 Jul →
anubis7–13-0.0416%5 Jul →
dust210–130.0332%4 Jul →
ancient8–13-0.0618%29 Jun →
ancient2–13-0.0621%25 Jun →
mirage7–130.0132%24 Jun →
dust213–80.0841%24 Jun →
dust213–60.0629%24 Jun →
ancient13–10-0.0231%24 Jun →
mirage13–60.0822%24 Jun →
dust213–70.1628%22 Jun →
dust211–13-0.0026%5 Jun →
mirage6–13-0.0718%5 Jun →
overpass10–130.0328%28 May →
nuke13–90.0521%28 May →
dust25–13-0.0336%19 May →
dust216–120.0119%19 May →
mirage13–20.0715%19 May →
anubis8–13-0.0422%19 May →
anubis2–13-0.0113%18 May →
ancient13–70.0231%18 May →
dust210–13-0.0422%18 May →
inferno10–13-0.0424%17 May →
ancient16–140.0328%17 May →
ancient11–13-0.0716%15 May →
cache16–120.0741%14 May →
dust213–3-0.0223%13 May →
inferno13–70.0936%13 May →
mirage9–13-0.0624%13 May →
ancient13–30.0117%13 May →
ancient2–13-0.0131%13 May →
anubis13–70.0318%13 May →
ancient13–100.0519%12 May →
dust22–13-0.0419%7 May →
mirage13–50.0629%7 May →
mirage6–13-0.0226%4 May →
dust20–13-0.0724%4 May →
cache13–50.0622%28 Apr →
cache6–130.0224%28 Apr →
ancient9–130.0029%27 Apr →
ancient13–50.0021%27 Apr →
mirage13–11-0.0126%19 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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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