jugas

jugas — CS2 Stats

76561198045372744[U:1:85107016]Steam profile ↗✓ No bans

1,364Tracked matches46%Win rate2020Tracked since
CSDB Rating5.6 SolidClutch Specialist
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,364 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,955 -845 19 Jun – 17 Jan · 22 days played
17,30221,560peak 21,56019 Jun17 Jan
21,666Peak Premier in tracked matches
44Days played since 2025-06-19

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

Share this profile

CSDB.GGjugasFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim64
Positioning58
Utility49

0–100 skill scores via Leetify.

Recent form

HOT45–47–8Last 10045%Win rateWWWWWWLLWL

Last 10 vs previous 10: +50pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · −125ms reaction

Win rate up 50pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 527ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 515ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 577ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim6.4
Utility4.9
Positioning5.8
Opening Duels4.4
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 89% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim6.4
Positioning5.8
Utility4.9
Mechanics6.9
Opening Duels3.3
Win Impact3.8

Composite 5.6/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time605ms−39ms
first ⅓ avg 643ms → last ⅓ avg 605ms
Headshot accuracy13.4%−5.6%
first ⅓ avg 19.1% → last ⅓ avg 13.4%

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.

Personal bests

0.19Best match rating · 13–8 · dust2, 27 Oct →
50%Best headshot accuracy · 10–13 · mirage, 23 Jun →
406msFastest reaction time · 10–13 · dust2, 13 Aug →
13–1Biggest win · dust2, 4 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W6Current streak
8–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 50% over 14cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C3413–2138%0.02
nukeB2311–1248%0.02
infernoB147–750%0.01
ancientC104–640%0.03
cacheD62–433%0.04
mirageC52–340%0.03
overpass—43–175%0.01
anubis—33–0100%0.09
rooftop—10–10%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

20Matches
80%Win rate
1.15Avg K/D
64.5ADR
45%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke4100%1.2513.3
Dust23100%0.8816.3
Ancient3100%1.3316.7
Inferno3100%1.3414.7
Anubis20%0.6610.5
Mirage1100%0.8815.0

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.

13.2%Headshot accuracy
33.7%Accuracy (enemy spotted)
33.3%Spray accuracy
81.0%Counter-strafing
8.5°Preaim
587msReaction time
29.6%T opening success
56.5%CT opening success
0.51Enemies flashed / flash
15.7%Flash assists
9.57HE damage / grenade
4.76Flashes / 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 13.1972% — below the 15% mark we flag

    Aim Training →
  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 29.5806% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–70.068%22 Aug →
nuke13–11-0.029%22 Aug →
inferno13–30.1120%22 Aug →
dust213–6-0.035%22 Aug →
cache13–60.0313%16 Aug →
dust213–90.0113%16 Aug →
nuke3–13-0.059%13 Aug →
dust210–130.0210%13 Aug →
nuke13–100.0818%13 Aug →
dust23–13-0.0312%13 Aug →
cache8–130.0213%29 May →
cache7–130.0110%29 May →
cache12–120.0726%29 May →
cache13–80.0910%29 Apr →
cache12–120.0216%29 Apr →
mirage12–160.0514%23 Apr →
nuke5–13-0.0710%23 Apr →
inferno8–8-0.0318%23 Feb →
dust26–130.028%23 Feb →
inferno13–90.119%17 Feb →
dust213–50.079%13 Feb →
dust29–130.0119%9 Feb →
nuke11–130.0617%30 Jan →
rooftop4–9-0.0920%20 Jan →
dust27–13-0.068%20 Jan →
inferno13–110.0418%17 Jan →
nuke11–130.0115%17 Jan →
nuke13–60.0213%17 Jan →
dust28–130.0214%17 Jan →
dust24–13-0.0616%3 Jan →
mirage13–110.006%13 Nov →
nuke10–130.0224%13 Nov →
nuke13–90.0214%7 Nov →
overpass13–8-0.0015%7 Nov →
nuke13–50.0111%7 Nov →
dust213–80.1922%27 Oct →
ancient2–110.0210%24 Oct →
dust26–130.0118%17 Oct →
dust25–110.016%8 Oct →
overpass16–140.027%8 Oct →
mirage8–130.1138%8 Oct →
dust28–130.0215%26 Sept →
ancient13–100.0121%26 Sept →
dust213–70.0721%26 Sept →
nuke13–20.1510%22 Sept →
inferno13–80.0219%22 Sept →
nuke15–15-0.0318%19 Sept →
dust213–6-0.014%19 Sept →
ancient11–13-0.0222%18 Sept →
inferno13–40.0125%18 Sept →
nuke13–7-0.0018%18 Sept →
dust213–100.0512%11 Sept →
overpass14–16-0.038%11 Sept →
ancient13–40.0410%8 Sept →
ancient8–13-0.0013%8 Sept →
nuke13–90.0122%3 Sept →
ancient13–40.0219%2 Sept →
nuke12–120.0416%30 Aug →
dust27–130.0619%30 Aug →
nuke13–110.0210%23 Aug →
dust213–3-0.0013%23 Aug →
inferno13–10-0.0113%23 Aug →
ancient6–130.1814%23 Aug →
inferno10–13-0.0514%23 Aug →
dust213–100.0413%7 Aug →
overpass13–40.0512%7 Aug →
ancient7–130.0220%7 Aug →
nuke13–70.0818%6 Aug →
nuke13–30.0411%5 Jul →
dust24–13-0.0523%5 Jul →
ancient5–13-0.0517%5 Jul →
inferno5–130.0123%5 Jul →
nuke7–13-0.0116%5 Jul →
dust212–120.0012%5 Jul →
nuke7–130.0121%4 Jul →
dust210–130.0316%4 Jul →
dust213–10.0240%4 Jul →
dust213–80.0616%3 Jul →
inferno5–130.0320%1 Jul →
dust211–130.0413%29 Jun →
dust25–13-0.0512%29 Jun →
nuke1–13-0.035%29 Jun →
inferno7–130.0410%28 Jun →
dust213–110.0319%28 Jun →
inferno0–13-0.0020%27 Jun →
dust26–130.0118%27 Jun →
dust27–13-0.0119%26 Jun →
anubis13–50.1213%24 Jun →
inferno10–13-0.0621%24 Jun →
dust28–10.1018%24 Jun →
ancient13–70.0518%24 Jun →
mirage16–13-0.0328%24 Jun →
nuke15–150.0613%24 Jun →
mirage10–13-0.0050%23 Jun →
dust215–150.0525%23 Jun →
dust29–13-0.0530%23 Jun →
anubis13–110.0813%23 Jun →
dust211–13-0.0218%20 Jun →
nuke1–13-0.0714%20 Jun →
inferno16–14-0.0318%19 Jun →

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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