Jube

Jube — CS2 Stats

PH76561198167940786[U:1:207675058]Steam profile ↗✓ No bans

774Tracked matches59%Win rate2020Tracked since
3,296Hours in CS1Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
CSDB Leaderboard#16284 of 260007 tracked
FaceitLevel 10 · 2,100 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,627 +2,343 27 Nov – 21 Feb · 16 days played
22,71426,601peak 26,60127 Nov21 Feb
26,601Peak Premier in tracked matches
2,100Highest Faceit ELO seen on CSDB
49Days played since 2025-11-16

Faceit ELO

  • At peak — 2,100
  • Next: 2,500 ELO at 2,500 — 400 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate54.3%50.9%
Shot accuracy14.2%13.7%
Kill/death ratio1.061.09
Match win rate46.5%48.4%

Share this profile

CSDB.GGJubeFACEITLevel 10 · 2,100 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,100csdb.gg/stats

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Performance scores

Aim69
Positioning66
Utility40

0–100 skill scores via Leetify.

Recent form

HOT62–35–3Last 10062%Win rateWWWWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +2.8pp headshot accuracy · −35ms 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 27%
  • Avg reaction 587ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 570ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 587ms

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 (+1.7 against its own average).

Aim6.9
Utility4.0
Positioning6.6
Opening Duels5.0
Clutch4.0

Strong CT-side openerLimited utility dependence

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 59% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.9
Positioning6.6
Utility4.0
Mechanics5.6
Opening Duels4.7
Win Impact7.9

Composite 6.1/10 (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 0.02 → last ⅓ avg 0.02
Reaction time569ms+7ms
first ⅓ avg 562ms → last ⅓ avg 569ms
Headshot accuracy25.0%+4.5%
first ⅓ avg 20.5% → last ⅓ avg 25.0%

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

0.20Best match rating · 13–6 · alpine, 8 Mar →
56%Best headshot accuracy · 13–0 · cache, 26 Aug →
375msFastest reaction time · 3–4 · dust2, 27 Jul →
13–0Biggest win · mirage, 27 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W7Current streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 100% over 5ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB4423–2152%0.01
dust2A1911–858%0.02
infernoS86–275%0.04
ancientC73–443%-0.02
cacheS65–183%0.04
nukeS54–180%0.02
overpassS55–0100%0.04
trainS54–180%0.01
alpine—11–0100%0.20

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

106,167Lifetime kills
1.06K/D
4,534Matches
46.5%Match win rate
54.3%Headshot % · Top 50% of Level 10 players
14.2%Shot accuracy · Top 50% of Level 10 players
16,015MVPs
2,391Hours (in match)
3,098Bombs planted
2,418Bombs defused

Most-used weapons

AK-4737,677
AWP11,257
Knife2,566
P2501,864
FAMAS1,461

Lifetime map wins

5,659train
5,264inferno
4,805dust2
3,688nuke
2,137vertigo
535cbble
93office
22dust

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

Faceit stats

Combat

1,538Matches
52%Win rate
1.12Avg K/D
78.8ADR
56%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23261%1.1916.5
Dust24838%0.9915.2
Nuke4045%1.1316.1
Ancient3941%1.0716.0
Anubis2846%1.2118.5
Vertigo1828%0.9415.6
Train1741%1.1116.8
Inferno1450%1.1617.1

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.

24.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.6%Spray accuracy
75.0%Counter-strafing
9.5°Preaim
576msReaction time
38.9%T opening success
58.7%CT opening success
0.45Enemies flashed / flash
16.0%Flash assists
7.42HE damage / grenade
2.82Flashes / 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. 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 0.4509 — below the 0.5 mark we flag

    Grenade Lineups →
  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 38.9338% — below the 40% mark we flag

Spend your practice time on Ancient

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–40.0720%24 Oct →
mirage13–20.0128%3 Oct →
mirage13–00.0527%27 Sept →
dust213–7-0.0128%22 Sept →
nuke13–4-0.0334%19 Sept →
mirage13–10-0.0016%19 Sept →
dust213–50.1130%18 Sept →
dust28–130.0231%10 Sept →
cache13–1-0.0232%2 Sept →
dust29–130.0323%2 Sept →
mirage13–80.0223%2 Sept →
mirage10–13-0.0129%29 Aug →
cache12–12-0.0119%28 Aug →
mirage13–30.0414%28 Aug →
mirage13–50.0723%26 Aug →
cache13–00.0756%26 Aug →
mirage8–13-0.0223%16 Aug →
dust211–130.0421%14 Aug →
cache13–50.0926%14 Aug →
ancient13–9-0.077%14 Aug →
ancient10–13-0.0015%1 Aug →
mirage6–13-0.0435%1 Aug →
mirage5–13-0.0733%1 Aug →
dust23–40.0532%27 Jul →
mirage5–130.0329%27 Jul →
cache13–100.0526%25 Jul →
dust213–100.0026%25 Jul →
dust29–13-0.0326%19 Jul →
mirage2–13-0.0911%19 Jul →
dust213–11-0.0314%19 Jul →
cache13–50.0612%18 Jul →
alpine13–60.2027%8 Mar →
nuke6–130.0528%8 Mar →
mirage16–12-0.0025%21 Feb →
mirage13–20.0211%20 Feb →
dust212–120.0129%20 Feb →
dust213–100.0024%20 Feb →
inferno11–13-0.0424%20 Feb →
mirage13–1-0.0032%19 Feb →
inferno13–40.0327%19 Feb →
mirage13–10.0827%19 Feb →
dust213–80.1029%19 Feb →
dust213–100.0536%7 Feb →
ancient2–13-0.0326%4 Feb →
mirage9–130.0213%4 Feb →
mirage4–13-0.0413%4 Feb →
mirage13–10.0119%3 Feb →
mirage13–110.0332%1 Feb →
mirage13–5-0.0023%31 Jan →
mirage13–50.0226%31 Jan →
mirage13–20.0623%30 Jan →
mirage13–80.0111%30 Jan →
inferno13–50.0527%30 Jan →
overpass13–100.0619%30 Jan →
dust22–13-0.0747%30 Jan →
nuke13–2-0.0328%28 Jan →
mirage13–10.1113%26 Jan →
mirage11–130.0217%10 Jan →
dust211–13-0.0524%10 Jan →
overpass16–130.0418%10 Jan →
ancient13–110.0013%9 Jan →
overpass13–20.0719%9 Jan →
train13–90.0125%9 Jan →
dust213–30.0713%9 Jan →
nuke13–30.0626%9 Jan →
train13–9-0.0122%8 Jan →
train13–50.0128%8 Jan →
mirage13–30.0418%8 Jan →
mirage9–130.0116%6 Jan →
train13–50.0736%6 Jan →
overpass13–110.0210%5 Jan →
mirage9–13-0.0121%4 Jan →
mirage11–13-0.0320%4 Jan →
mirage8–130.0026%4 Jan →
mirage11–13-0.0516%3 Jan →
inferno13–70.0425%2 Jan →
mirage5–130.0528%2 Jan →
dust213–70.0722%2 Jan →
mirage13–90.1017%30 Dec →
mirage8–13-0.0519%28 Dec →
mirage13–30.108%28 Dec →
mirage15–15-0.0418%28 Dec →
ancient4–13-0.0116%28 Dec →
train10–13-0.0320%25 Dec →
inferno13–80.0318%25 Dec →
ancient13–60.0223%25 Dec →
dust213–30.0322%25 Dec →
mirage12–16-0.0516%24 Dec →
nuke13–80.0627%23 Dec →
mirage13–50.0518%23 Dec →
mirage6–130.0015%23 Dec →
overpass13–60.0111%17 Dec →
ancient11–13-0.0323%16 Dec →
dust216–140.0023%16 Dec →
inferno13–80.1027%14 Dec →
mirage11–130.0426%27 Nov →
inferno1–70.0124%27 Nov →
mirage13–70.1017%27 Nov →
mirage4–13-0.0820%23 Nov →
mirage13–7-0.0132%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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