Julian

Julian — CS2 Stats

KZ76561198434675322[U:1:474409594]Steam profile ↗

2,145Tracked matches52%Win rate2021Tracked since
2,151Hours in CS9Hrs last 2 wks
CSDB Rating4.2 Developing
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim42
Positioning45
Utility28

0–100 skill scores via Leetify.

Recent form

HOT43516Last 10043%Win rateWWLWWWWLLW

Last 10 vs previous 10: +50pp win rate · -0.05 avg rating

Player DNA

Aim4.2
Aggression5.6
Utility2.8
Positioning4.5
Opening Duels2.2

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 77% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; 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. 629ms 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

Aim4.2
Positioning4.5
Utility2.8
Mechanics5.8
Opening Duels2.2
Win Impact5.6

Composite 4.2/10 (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-0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time644ms−12ms
first ⅓ avg 656ms → last ⅓ avg 644ms
Headshot accuracy12.5%+1.1%
first ⅓ avg 11.4% → last ⅓ avg 12.5%

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

0.19Best rating — office 11–13
131Biggest win — office
4Longest win streak
W2Current streak
510In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 69% over 13officeWeakest map · 30% over 37
MapGradePlayedRecordWin rateAvg rating
officeD37112630%-0.00
nukeS139469%-0.02
dust2A138562%0.00
infernoC125742%-0.01
cacheC73443%-0.03
mirage42250%-0.01
overpass42250%0.05
italy3030%-0.04
ancient2020%-0.05
anubis21150%-0.04
shelter110100%0.03
debris1010%-0.04
vertigo110100%-0.06

Across the last 100 tracked matches.

Lifetime stats

47,089Lifetime kills
0.79K/D
3,521Matches
38.2%Match win rate
36.8%Headshot %
7.8%Shot accuracy
5,204MVPs
1,132Hours (in match)
1,663Bombs planted
461Bombs defused

Most-used weapons

AK-476,011
AWP3,557
XM10143,053
P902,313
SSG 082,294
AUG2,169
SG 5531,779

Lifetime map wins

7,484office
6,940dust2
2,921nuke
2,059inferno
1,230lake
1,181vertigo
1,019train
338italy

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

Skill profile

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

11.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
36.8%Spray accuracy
76.3%Counter-strafing
12.9°Preaim
629msReaction time
33.1%T opening success
44.2%CT opening success
0.36Enemies flashed / flash
3.3%Flash assists
8.06HE damage / grenade
3.37Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8603° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.4524% — below the 15% mark we flag

    Aim Training
  3. 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 0.3611 — below the 0.5 mark we flag

    Grenade Lineups
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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office13–6-0.0023%29 Aug
nuke16–14-0.036%29 Aug
office11–130.056%29 Aug
dust213–9-0.0113%29 Aug
office13–9-0.0314%29 Aug
nuke13–110.0310%29 Aug
dust213–20.0126%22 Aug
office4–13-0.080%22 Aug
ancient6–13-0.0816%22 Aug
office13–6-0.026%22 Aug
inferno13–11-0.029%22 Aug
office11–130.1920%22 Aug
inferno5–9-0.0421%22 Aug
inferno10–130.027%15 Aug
dust210–130.0327%15 Aug
office9–13-0.0113%15 Aug
office12–120.0613%15 Aug
anubis7–13-0.025%15 Aug
nuke13–2-0.039%8 Aug
office12–120.1519%8 Aug
cache10–13-0.066%8 Aug
nuke13–9-0.0520%7 Aug
cache13–9-0.053%7 Aug
office13–10-0.0013%6 Aug
office6–130.0116%6 Aug
office12–12-0.050%2 Aug
shelter13–40.038%2 Aug
nuke4–13-0.1110%26 Jul
debris8–8-0.0432%26 Jul
office9–13-0.0012%26 Jul
cache11–13-0.027%26 Jul
office13–30.0810%26 Jul
dust213–40.0111%26 Jul
italy9–13-0.0222%18 Jul
office0–13-0.074%18 Jul
cache13–8-0.019%18 Jul
office13–60.0025%18 Jul
dust213–90.0115%18 Jul
office6–13-0.0129%18 Jul
cache2–13-0.030%18 Jul
dust23–13-0.067%3 Jul
italy4–13-0.0720%27 Jun
office6–13-0.036%27 Jun
mirage12–16-0.0317%27 Jun
dust213–20.0411%27 Jun
dust28–13-0.0016%21 Jun
inferno8–80.0113%21 Jun
office13–100.0319%20 Jun
inferno3–13-0.063%20 Jun
office11–13-0.0214%20 Jun
mirage13–2-0.0017%20 Jun
dust216–120.0011%20 Jun
italy11–13-0.0410%7 Jun
dust24–13-0.108%7 Jun
overpass13–110.0311%7 Jun
office5–130.0216%7 Jun
inferno13–3-0.0113%6 Jun
overpass13–100.0611%31 May
nuke13–40.0512%31 May
office12–12-0.0623%31 May
office13–10.0513%31 May
dust213–60.0810%31 May
mirage13–30.057%30 May
office8–13-0.0213%30 May
inferno14–16-0.0113%30 May
inferno13–110.0313%27 May
office11–13-0.0214%23 May
vertigo9–6-0.0613%23 May
office8–13-0.0129%19 May
nuke9–130.007%19 May
office11–13-0.0811%19 May
inferno3–13-0.088%10 May
nuke13–7-0.1119%10 May
office13–40.0414%10 May
cache13–5-0.046%10 May
office5–13-0.0113%3 May
office3–13-0.0327%2 May
cache11–13-0.0014%2 May
office9–130.020%27 Apr
anubis13–7-0.067%27 Apr
office5–13-0.0711%24 Apr
nuke13–9-0.007%24 Apr
dust29–13-0.015%24 Apr
office6–13-0.026%24 Apr
ancient9–13-0.0323%15 Apr
office13–100.000%11 Apr
inferno4–13-0.0316%11 Apr
nuke11–130.0113%11 Apr
mirage9–13-0.048%10 Apr
office7–13-0.047%10 Apr
nuke13–80.009%10 Apr
dust213–30.049%6 Apr
inferno13–8-0.038%4 Apr
nuke13–60.0010%4 Apr
office6–13-0.0614%4 Apr
nuke3–13-0.0411%4 Apr
overpass8–130.129%28 Mar
inferno13–70.0612%28 Mar
overpass7–13-0.028%23 Mar
office13–10-0.0325%23 Mar

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 →