Judex999

Judex999 — CS2 Stats

76561198408375683[U:1:448109955]Steam profile ↗✓ No bans

1,039Tracked matches62%Win rate2025Tracked since
CSDB Rating4.7 DevelopingPositional Player
Premier CS Rating10,540Blue band · top ~52% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 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: 10,540 +5,865 4 Sept – 14 Oct · 15 days played
4,67510,540peak 10,5404 Sept14 Oct
10,540Peak Premier in tracked matches
30Days played since 2026-08-26

Premier CS Rating

  • At peak — 10,540
  • +2,561 over 30 days · improving
  • Next: Purple band at 15,000 — 4,460 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGJudex999PREMIER10,540 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning57
Utility41

0–100 skill scores via Leetify.

Recent form

HOT53–42–5Last 10053%Win rateWWWWWLWWWT

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +1.2pp headshot accuracy · +36ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 641ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 705ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 687ms

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 (+1.2 against its own average).

Aim3.3
Utility4.1
Positioning5.7
Opening Duels3.7

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

jL

Plays most like jL 65% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 667ms 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

Aim3.3
Positioning5.7
Utility4.1
Mechanics4.9
Opening Duels5.3
Win Impact9.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time669ms−31ms
first ⅓ avg 700ms → last ⅓ avg 669ms
Headshot accuracy13.2%−5.7%
first ⅓ avg 18.9% → last ⅓ avg 13.2%

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

0.13Best match rating · 13–4 · ancient, 14 Oct →
50%Best headshot accuracy · 5–5 · mirage, 28 Sept →
492msFastest reaction time · 13–9 · anubis, 9 Oct →
13–1Biggest win · anubis, 11 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
7–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 77% over 13dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
anubisB2111–1052%-0.01
nukeS2013–765%0.00
ancientS1310–377%-0.03
mirageS128–467%-0.02
dust2D123–925%-0.03
cacheD113–827%-0.03
infernoA95–456%-0.03
vertigo—20–20%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.7%Headshot accuracy
29.4%Accuracy (enemy spotted)
27.4%Spray accuracy
72.1%Counter-strafing
10.3°Preaim
667msReaction time
54.7%T opening success
47.9%CT opening success
0.52Enemies flashed / flash
4.9%Flash assists
4.90HE damage / grenade
7.66Flashes / 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. 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 13.6647% — below the 15% mark we flag

    Aim Training →
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.

25% win rate across 12 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
ancient13–11-0.0813%14 Oct →
inferno13–4-0.0116%14 Oct →
nuke13–4-0.0115%14 Oct →
inferno9–50.048%14 Oct →
ancient13–40.1312%14 Oct →
nuke8–13-0.0422%14 Oct →
mirage13–70.0012%14 Oct →
mirage13–60.0418%14 Oct →
mirage13–8-0.0218%13 Oct →
anubis15–15-0.0811%13 Oct →
cache5–13-0.046%13 Oct →
anubis13–2-0.0018%13 Oct →
mirage13–8-0.0310%12 Oct →
nuke13–40.0220%12 Oct →
nuke12–30.0215%12 Oct →
mirage13–11-0.0219%11 Oct →
nuke1–13-0.105%11 Oct →
dust29–13-0.0514%11 Oct →
ancient6–13-0.0911%11 Oct →
cache13–20.0215%10 Oct →
dust29–130.0110%10 Oct →
nuke13–160.0614%10 Oct →
inferno4–9-0.136%10 Oct →
cache2–13-0.099%9 Oct →
nuke13–10-0.0518%9 Oct →
anubis2–13-0.0812%9 Oct →
anubis13–9-0.0615%9 Oct →
anubis13–11-0.0515%8 Oct →
mirage0–13-0.038%5 Oct →
nuke13–70.0313%5 Oct →
mirage13–7-0.0412%5 Oct →
inferno11–13-0.089%4 Oct →
dust213–2-0.0014%4 Oct →
anubis13–11-0.0313%4 Oct →
mirage13–10-0.0311%3 Oct →
nuke13–110.0214%2 Oct →
dust28–13-0.0418%2 Oct →
inferno13–60.0024%2 Oct →
dust24–13-0.039%30 Sept →
ancient8–13-0.0319%30 Sept →
anubis13–11-0.0216%29 Sept →
ancient5–13-0.1016%29 Sept →
mirage12–12-0.065%29 Sept →
dust25–13-0.0126%28 Sept →
anubis13–70.0520%28 Sept →
mirage5–5-0.0250%28 Sept →
ancient13–5-0.046%24 Sept →
dust213–6-0.0718%24 Sept →
vertigo7–130.0211%24 Sept →
nuke13–4-0.0114%24 Sept →
ancient13–6-0.056%24 Sept →
anubis9–13-0.0812%23 Sept →
ancient13–4-0.0122%23 Sept →
cache12–12-0.0413%23 Sept →
anubis3–13-0.0818%21 Sept →
nuke10–13-0.1011%21 Sept →
dust213–8-0.0426%21 Sept →
anubis9–130.0013%18 Sept →
anubis5–13-0.0314%18 Sept →
dust29–13-0.0423%18 Sept →
cache10–13-0.0212%16 Sept →
dust210–130.0018%16 Sept →
vertigo6–13-0.0522%16 Sept →
anubis12–12-0.0121%16 Sept →
anubis13–70.0928%14 Sept →
anubis2–13-0.0211%14 Sept →
nuke13–40.1123%14 Sept →
ancient13–70.0313%14 Sept →
nuke13–60.0627%13 Sept →
cache10–13-0.0224%12 Sept →
inferno13–70.0213%11 Sept →
ancient13–7-0.0611%11 Sept →
anubis13–10.1126%11 Sept →
nuke4–13-0.0117%11 Sept →
anubis13–40.1119%11 Sept →
ancient13–2-0.0418%11 Sept →
anubis11–13-0.0218%11 Sept →
cache4–13-0.0616%11 Sept →
nuke13–30.0014%10 Sept →
mirage5–13-0.0910%10 Sept →
dust211–13-0.0529%10 Sept →
inferno1–13-0.1312%8 Sept →
nuke8–13-0.0526%8 Sept →
nuke13–20.0328%7 Sept →
anubis16–130.0316%7 Sept →
ancient13–3-0.0111%5 Sept →
anubis9–13-0.048%5 Sept →
cache13–3-0.0219%5 Sept →
inferno5–80.0229%4 Sept →
ancient13–8-0.0619%4 Sept →
cache6–13-0.0813%4 Sept →
anubis13–20.007%3 Sept →
nuke13–2-0.0116%3 Sept →
nuke9–130.0616%3 Sept →
cache13–60.0519%3 Sept →
dust25–13-0.0517%3 Sept →
inferno13–3-0.0038%3 Sept →
mirage13–11-0.0225%26 Aug →
nuke13–6-0.0127%26 Aug →
cache12–12-0.0426%26 Aug →

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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