jupuz

jupuz — CS2 Stats

76561197976430850[U:1:16165122]Steam profile ↗✓ No bans

561Tracked matches54%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (49 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 561
−3.8ppWin rate · 57.7% → 53.8%

Rating over time

Premier CS Rating: 14,018 -1,601 6 Feb – 7 Jul · 11 days played
14,01815,619peak 15,6196 Feb7 Jul
15,619Peak Premier in tracked matches
47Days played since 2025-02-05

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

Share this profile

CSDB.GGjupuzFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim65
Positioning48
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY45–47–8Last 10045%Win rateLTLWTWWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · +4.3pp headshot accuracy · −5ms 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

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 652ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 599ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim6.5
Utility6.4
Positioning4.8
Opening Duels2.0
Clutch2.0

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

ZywOo

Plays most like ZywOo 81% 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

Reaction time. 624ms 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

Aim6.5
Positioning4.8
Utility6.4
Mechanics6.1
Opening Duels1.4
Win Impact6.3

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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time628ms−22ms
first ⅓ avg 650ms → last ⅓ avg 628ms
Headshot accuracy21.0%+1.6%
first ⅓ avg 19.3% → last ⅓ avg 21.0%

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

0.15Best match rating · 13–2 · train, 22 Mar →
50%Best headshot accuracy · 13–8 · nuke, 23 Oct →
422msFastest reaction time · 3–13 · nuke, 1 Aug →
13–0Biggest win · dust2, 22 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 60% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC229–1341%-0.02
cacheB147–750%-0.01
mirageB147–750%0.01
ancientA127–558%-0.02
overpassB126–650%-0.00
nukeD113–827%-0.03
anubisD51–420%-0.01
trainC52–340%0.02
dust2A53–260%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

223Matches
53%Win rate
1.36Avg K/D
65.3ADR
39%Headshot %

Clutches & streaks

30%1v1 clutch win
33%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke3100%1.3210.0
Anubis250%1.0213.5
Ancient250%0.9612.0
Mirage10%0.9415.0
Inferno1100%1.1714.0
Dust21100%1.5021.0
Overpass1100%0.649.0

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.

21.1%Headshot accuracy
33.9%Accuracy (enemy spotted)
39.2%Spray accuracy
77.4%Counter-strafing
11.0°Preaim
624msReaction time
26.6%T opening success
41.3%CT opening success
0.60Enemies flashed / flash
4.7%Flash assists
12.96HE damage / grenade
15.71Flashes / 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 26.6267% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0425%31 Oct →
ancient12–120.0117%17 Oct →
cache6–13-0.0123%17 Oct →
cache13–80.0113%22 Aug →
inferno12–12-0.0130%22 Aug →
inferno13–9-0.0223%19 Aug →
inferno13–40.0213%19 Aug →
ancient13–70.0420%19 Aug →
cache13–8-0.0523%19 Aug →
ancient13–60.0226%19 Aug →
nuke3–13-0.135%1 Aug →
cache10–13-0.0525%30 Jul →
cache7–13-0.0627%30 Jul →
ancient6–13-0.0626%26 Jul →
cache7–13-0.0017%24 Jul →
inferno13–60.0315%21 Jul →
cache13–60.018%21 Jul →
overpass13–50.0419%21 Jul →
inferno13–11-0.0515%5 Jun →
cache4–13-0.0412%5 Jun →
overpass7–13-0.0831%5 Jun →
cache13–90.0118%6 May →
cache13–40.0435%6 May →
cache8–13-0.0225%30 Apr →
inferno12–12-0.0023%30 Apr →
cache13–100.1228%30 Apr →
overpass12–120.0112%30 Apr →
cache13–7-0.0637%30 Apr →
ancient11–13-0.0317%19 Apr →
inferno6–130.0621%18 Apr →
overpass5–13-0.0331%18 Apr →
inferno12–12-0.0314%18 Apr →
overpass13–40.0618%18 Apr →
mirage16–130.0616%10 Apr →
inferno11–130.0130%10 Apr →
inferno12–12-0.0510%9 Apr →
mirage13–3-0.0021%19 Feb →
ancient13–40.0426%19 Feb →
anubis5–130.0020%19 Feb →
inferno13–10-0.0611%28 Jan →
inferno13–50.0510%6 Jan →
mirage9–13-0.0117%6 Jan →
train5–13-0.0223%4 Dec →
overpass10–13-0.0310%20 Nov →
dust27–13-0.0223%20 Nov →
nuke11–130.0023%20 Nov →
nuke9–13-0.0129%30 Oct →
inferno13–8-0.0321%30 Oct →
nuke13–80.0950%23 Oct →
mirage16–13-0.0128%23 Oct →
nuke5–13-0.0520%17 Oct →
dust213–16-0.0143%13 Oct →
mirage13–80.0111%13 Oct →
mirage9–13-0.0016%4 Oct →
inferno4–13-0.0520%2 Aug →
mirage11–13-0.0219%1 Aug →
ancient13–9-0.0738%1 Aug →
inferno13–100.0016%31 Jul →
nuke11–130.0423%31 Jul →
overpass13–100.0116%31 Jul →
ancient13–11-0.0320%31 Jul →
overpass13–6-0.0218%31 Jul →
ancient10–13-0.086%31 Jul →
overpass13–90.0726%18 Jul →
inferno11–130.0116%7 Jul →
nuke6–13-0.0813%7 Jul →
inferno13–8-0.0410%7 Jun →
nuke8–13-0.0316%7 Jun →
anubis8–130.0420%6 Jun →
dust213–7-0.0412%6 Jun →
mirage11–130.1017%6 Jun →
inferno5–13-0.0414%6 Jun →
mirage5–13-0.0833%7 May →
dust213–60.0621%21 Apr →
mirage13–7-0.0113%21 Apr →
anubis13–4-0.0810%18 Apr →
train11–130.0223%29 Mar →
overpass13–80.0314%29 Mar →
train13–20.1530%22 Mar →
overpass8–130.0315%22 Mar →
train5–13-0.0028%21 Mar →
overpass4–9-0.1017%21 Mar →
nuke13–11-0.0715%23 Feb →
dust213–00.0428%22 Feb →
ancient13–80.0018%22 Feb →
nuke5–9-0.1021%22 Feb →
inferno3–9-0.0811%20 Feb →
inferno12–12-0.0210%20 Feb →
nuke13–2-0.0026%20 Feb →
train11–2-0.0317%20 Feb →
mirage8–13-0.0020%16 Feb →
mirage10–13-0.0320%11 Feb →
inferno8–13-0.0315%8 Feb →
mirage13–60.0340%6 Feb →
anubis9–13-0.0315%6 Feb →
mirage13–50.0428%6 Feb →
inferno3–13-0.0531%6 Feb →
ancient7–13-0.104%6 Feb →
ancient13–110.0018%5 Feb →
anubis15–150.0321%5 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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