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Julian

Julian — CS2 Stats

AL76561198821285927[U:1:861020199]Steam profile ↗✓ No bans

2,612Tracked matches47%Win rate2020Tracked since
4,281Hours in CS24Hrs last 2 wks
CSDB Rating4.8 DevelopingPassive Rifler
FaceitLevel 9 · 2,229 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 playerLevel 10 medianvs Level 10
Headshot rate48.3%52.8%4.5% short
Shot accuracy12.5%13.7%1.2% short
Kill/death ratio0.911.080.17 short
Match win rate45.3%49.2%3.9% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJulianFACEITLevel 9 · 2,229 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning37
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLLWWLLWWW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.3
Aggression3.5
Utility5.9
Positioning3.7
Opening Duels0.0
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 630ms 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

Aim6.3
Positioning3.7
Utility5.9
Mechanics6.2
Opening Duels0.0
Win Impact3.9

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time632ms−30ms
first ⅓ avg 661ms → last ⅓ avg 632ms
Headshot accuracy21.4%+0.7%
first ⅓ avg 20.7% → last ⅓ avg 21.4%

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.

Highlights

0.15Best rating — train 13–5
13–2Biggest win — mirage
6Longest win streak
L3Current streak
12–16In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 73% over 15dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC228–1436%-0.02
anubisB178–947%-0.01
ancientS1511–473%-0.01
mirageB147–750%-0.00
dust2D91–811%-0.02
infernoB84–450%0.01
trainD62–433%-0.01
overpass—42–250%-0.02
vertigo—22–0100%0.05
office—22–0100%0.06
cache—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,994Lifetime kills
0.91K/D
5,123Matches
45.3%Match win rate
48.3%Headshot % · Top 50% of tracked players
12.5%Shot accuracy · Top 50% of tracked players
13,600MVPs
2,435Hours (in match)
7,183Bombs planted
1,875Bombs defused

Most-used weapons

AK-4739,640
M4A4 / M4A1-S16,785
AWP16,468
Desert Eagle7,635
P2000 / USP-S6,357
Glock-183,832
Knife2,328
MAC-101,756
MP91,561
P2501,399

Lifetime map wins

8,592inferno
5,348nuke
2,942vertigo
2,822dust2
2,457train
608cbble
264office
26lake

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

Faceit stats

Combat

2,617Matches
51%Win rate
0.98Avg K/D
69.0ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis40554%0.9914.4
Mirage28448%0.9514.4
Nuke26351%0.9113.8
Ancient22549%0.9213.4
Inferno14645%0.9414.4
Vertigo10862%0.9814.4
Dust29843%0.8513.2
Train6546%0.9713.4

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.

21.2%Headshot accuracy
31.5%Accuracy (enemy spotted)
31.5%Spray accuracy
77.8%Counter-strafing
8.7°Preaim
630msReaction time
28.7%T opening success
26.5%CT opening success
0.64Enemies flashed / flash
8.7%Flash assists
9.27HE damage / grenade
12.63Flashes / 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 28.7312% — 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.

11% win rate across 9 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
dust25–13-0.0715%27 Aug →
cache14–16-0.0221%27 Aug →
anubis10–13-0.0120%26 Aug →
ancient19–160.0416%20 Aug →
vertigo16–130.0421%10 Aug →
anubis1–13-0.1025%6 Aug →
nuke11–13-0.0127%6 Aug →
ancient16–13-0.0423%6 Aug →
mirage13–60.0026%6 Aug →
anubis13–50.0724%6 Aug →
anubis9–13-0.0722%5 Aug →
mirage10–130.0515%21 Jul →
nuke5–13-0.0318%13 Jul →
dust211–130.0125%30 Jun →
mirage4–13-0.0323%24 Jun →
anubis13–90.0215%16 Jun →
nuke13–90.0622%16 May →
dust213–11-0.0612%12 May →
dust210–13-0.0724%7 May →
mirage13–110.0312%6 May →
nuke7–13-0.0922%4 May →
ancient13–40.0124%30 Apr →
nuke7–13-0.0723%28 Apr →
anubis6–13-0.0319%26 Apr →
nuke13–50.0521%25 Apr →
ancient13–10-0.0014%23 Apr →
ancient13–7-0.0832%23 Apr →
mirage4–13-0.0025%23 Apr →
anubis1–13-0.0540%19 Apr →
mirage13–20.0328%16 Apr →
inferno13–9-0.0819%11 Apr →
anubis13–11-0.0411%4 Apr →
mirage13–100.0524%2 Apr →
dust28–130.0130%25 Mar →
office13–9-0.0023%24 Feb →
office13–40.1139%24 Feb →
anubis13–20.0134%7 Feb →
mirage12–16-0.0321%23 Dec →
dust211–130.0220%23 Dec →
inferno6–130.0216%16 Dec →
ancient11–130.0219%8 Dec →
nuke13–70.0819%23 Nov →
vertigo13–110.0735%21 Nov →
overpass3–00.000%21 Nov →
ancient13–9-0.0421%17 Nov →
overpass11–13-0.0214%12 Nov →
inferno14–160.0016%8 Nov →
train14–16-0.0212%25 Oct →
ancient4–13-0.0722%25 Oct →
ancient1–13-0.0311%24 Oct →
nuke5–13-0.0325%22 Oct →
nuke8–13-0.0226%19 Oct →
ancient13–20.0719%19 Oct →
mirage9–13-0.0825%19 Oct →
nuke13–100.0115%18 Oct →
mirage7–13-0.0720%18 Oct →
mirage11–13-0.0016%17 Oct →
overpass25–21-0.0320%16 Oct →
nuke13–7-0.0420%15 Oct →
nuke13–8-0.0316%12 Oct →
inferno7–13-0.0219%12 Oct →
ancient13–9-0.0119%10 Oct →
ancient13–30.0221%10 Oct →
mirage13–9-0.0917%10 Oct →
inferno13–11-0.0222%7 Oct →
ancient13–11-0.0516%6 Oct →
nuke13–5-0.0617%6 Oct →
dust23–13-0.0823%30 Sept →
train11–13-0.0622%4 Sept →
nuke8–13-0.0329%30 Jul →
train8–130.0313%17 Jul →
overpass8–13-0.0235%17 Jul →
nuke4–13-0.0425%10 Jul →
inferno13–110.0111%10 Jul →
mirage13–110.0121%9 Jul →
train13–11-0.0115%4 Jul →
nuke13–110.0022%4 Jul →
dust25–13-0.0315%1 Jul →
nuke13–16-0.0622%1 Jul →
inferno9–130.0338%23 Jun →
mirage13–90.0931%23 Jun →
dust25–130.0519%23 Jun →
anubis13–40.0721%22 Jun →
inferno13–110.1129%22 Jun →
nuke6–130.0137%17 Jun →
ancient13–9-0.019%9 Jun →
nuke11–13-0.0430%2 Jun →
nuke10–13-0.0321%29 May →
train4–13-0.1224%27 May →
ancient11–13-0.046%26 May →
nuke11–13-0.0221%20 May →
anubis11–130.0221%19 May →
anubis11–13-0.118%14 May →
train13–50.1520%12 May →
nuke10–13-0.0218%11 May →
anubis9–130.0421%7 May →
anubis14–16-0.0115%27 Apr →
anubis13–11-0.0413%25 Apr →
anubis13–70.0215%25 Apr →
anubis22–19-0.0116%25 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K 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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