JUBA — CS2 Stats

76561198195477130[U:1:235211402]✓ No bans

4,241Tracked matches50%Win rate2020Tracked since
CSDB Rating6.7 SolidEntry Fragger
Premier CS Rating15,528Purple band · top ~26.3% of ranked players (population est.)
CSDB Leaderboard#8373 of 13173 tracked
FaceitLevel 10 · 2,033 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGJUBAFACEITLevel 10 · 2,033 ELOSTANDINGTop 12.4% of rankedPREMIER15,528 · Purple bandcsdb.gg/stats

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Performance scores

Aim79
Positioning62
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateLWLLWLLWLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim7.9
Aggression10.0
Utility6.1
Positioning6.2
Opening Duels6.3
Clutch3.2

Strong CT-side opener

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

sh1ro

Plays most like sh1ro 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

Strengths

CT openings. 76% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 76% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 621ms 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

Aim7.9
Positioning6.2
Utility6.1
Mechanics7.7
Opening Duels5.6
Win Impact5.0

Composite 6.7/10 (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 rating0.07+0.05
first ⅓ avg 0.02 → last ⅓ avg 0.07
Reaction time633ms+24ms
first ⅓ avg 609ms → last ⅓ avg 633ms
Headshot accuracy24.2%+0.9%
first ⅓ avg 23.3% → last ⅓ avg 24.2%

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.

Highlights

0.23Best rating — mirage 13–5
130Biggest win — overpass
6Longest win streak
810In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 67% over 6infernoWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC30131743%0.04
dust2B23111248%0.05
infernoC156940%0.05
ancientB115645%0.04
trainS64267%0.00
nukeB63350%0.04
anubis4040%0.04
overpass440100%0.06
vertigo1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,518Matches
49%Win rate
1.25Avg K/D
77.8ADR
46%Headshot %

Clutches & streaks

36%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage28148%1.1516.3
Ancient16949%1.1315.8
Dust214848%1.1716.8
Anubis14145%1.1716.2
Inferno13751%1.2617.4
Vertigo5046%1.0815.5
Nuke3352%1.1516.9
Train1354%1.3119.0

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.

24.2%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.6%Spray accuracy
84.8%Counter-strafing
9.9°Preaim
621msReaction time
34.9%T opening success
75.8%CT opening success
0.69Enemies flashed / flash
4.8%Flash assists
7.82HE damage / grenade
17.40Flashes / 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 34.9125% — below the 40% mark we flag

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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient10–130.1127%19 Jun
dust213–90.0425%18 Jun
mirage9–130.1824%17 Jun
anubis9–130.0522%16 Jun
dust213–80.0424%15 Jun
mirage8–13-0.0319%12 Jun
anubis9–130.0418%12 Jun
inferno13–10.0331%12 Jun
ancient7–13-0.0716%12 Jun
overpass13–70.1332%11 Jun
dust29–130.1230%11 Jun
inferno15–150.0925%10 Jun
inferno13–40.1438%10 Jun
dust27–130.0632%9 Jun
mirage13–30.0727%9 Jun
ancient13–30.0422%9 Jun
inferno11–13-0.0125%9 Jun
dust210–130.1125%9 Jun
inferno9–130.1025%9 Jun
dust212–12-0.0711%7 Jun
inferno14–160.0217%7 Jun
mirage13–70.0528%6 Jun
mirage13–40.0726%6 Jun
overpass13–0-0.010%6 Jun
inferno13–20.1634%6 Jun
dust213–80.0823%6 Jun
mirage13–100.0624%6 Jun
dust23–130.1727%6 Jun
dust20–13-0.0028%29 May
dust213–100.2128%29 May
mirage13–160.0719%29 May
inferno13–20.0625%29 May
mirage13–50.2323%28 May
mirage10–130.0840%27 May
dust215–150.0823%27 May
anubis9–130.0520%25 May
inferno4–9-0.0118%25 May
dust29–130.0620%25 May
mirage13–100.0322%21 May
inferno13–110.0930%20 May
dust211–50.0232%20 May
mirage8–130.0415%16 May
dust26–13-0.0421%16 May
mirage13–100.0324%16 May
inferno9–130.0938%13 May
dust213–40.0635%11 May
dust213–30.1438%10 May
dust213–90.0327%11 Apr
mirage11–130.0233%11 Apr
dust23–130.0631%11 Apr
mirage13–60.0917%4 Apr
train16–12-0.0333%29 Dec
ancient5–13-0.0234%29 Dec
train13–110.0324%29 Dec
train13–110.0718%29 Dec
mirage6–13-0.0433%28 Dec
ancient16–120.0431%28 Dec
mirage3–130.0223%28 Dec
mirage5–130.0120%26 Dec
mirage13–60.0120%25 Dec
ancient13–30.1825%25 Dec
inferno13–11-0.0120%25 Dec
inferno11–13-0.0020%20 Dec
inferno2–13-0.0429%20 Dec
nuke11–13-0.0614%19 Dec
mirage7–130.0332%19 Dec
nuke13–80.0637%18 Dec
mirage13–00.1130%18 Dec
overpass13–90.0823%18 Dec
inferno11–13-0.0022%17 Dec
mirage13–60.0127%17 Dec
nuke13–80.0421%16 Dec
mirage6–13-0.0318%16 Dec
nuke11–130.0417%14 Dec
ancient3–13-0.0018%13 Dec
mirage15–19-0.0116%12 Dec
dust29–130.0126%11 Dec
train13–70.0542%11 Dec
dust27–13-0.0619%11 Dec
dust213–11-0.0326%10 Dec
mirage13–9-0.0127%9 Dec
train11–13-0.0216%9 Dec
train11–13-0.0724%9 Dec
dust213–110.0227%6 Dec
mirage9–13-0.0329%6 Dec
ancient10–13-0.0129%5 Dec
overpass13–40.0333%4 Dec
ancient13–30.0515%4 Dec
mirage10–13-0.0236%4 Dec
mirage13–110.0313%4 Dec
vertigo7–13-0.0818%6 Nov
nuke8–13-0.0323%6 Nov
mirage10–130.0528%6 Nov
nuke13–100.1819%6 Nov
anubis8–130.039%6 Nov
mirage9–130.0630%6 Nov
dust213–110.1022%6 Nov
mirage11–130.0524%5 Nov
ancient13–70.0724%5 Nov
ancient10–130.0221%27 Oct

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →