juketsuk

juketsuk — CS2 Stats

FI76561199236742998[U:1:1276477270]Steam profile ↗✓ No bans

2,093Tracked matches38%Win rate2022Tracked since
2,019Hours in CS4Hrs last 2 wks
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating8,585Light Blue band · top ~61.7% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 8,585 → 8,585
+17Tracked matches · now 2,093
−10.2ppWin rate · 48.1% → 37.9%

Rating over time

Premier CS Rating: 8,585 -1,073 18 Aug – 18 Sept · 3 days played
8,5539,658peak 9,65818 Aug18 Sept
9,658Peak Premier in tracked matches
28Days played since 2026-07-08

Premier CS Rating

  • 1,073 below peak (9,658)
  • -1,073 over 30 days · declining
  • Next: Blue band at 10,000 — 1,415 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-18

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 2 among CSDB-tracked players (n=5,923), 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 2 medianLevel 3 medianvs Level 3
Headshot rate49.1%41.3%41.8%above
Shot accuracy9.3%12.7%12.2%2.9% short
Kill/death ratio0.800.950.980.18 short
Match win rate41.5%42.6%43.3%1.8% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjuketsukFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER8,585 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim50
Positioning36
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateLLWWLLWWLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.8pp headshot accuracy · −52ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 592ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

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 (+1.9 against its own average).

Aim5.0
Utility2.4
Positioning3.6
Opening Duels0.0
Clutch4.6

Limited 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

ZywOo

Plays most like ZywOo 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning3.6
Utility2.4
Mechanics3.5
Opening Duels0.3
Win Impact1.0

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time616ms−63ms
first ⅓ avg 679ms → last ⅓ avg 616ms
Headshot accuracy16.3%+1.1%
first ⅓ avg 15.1% → last ⅓ avg 16.3%

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 · 9–6 · vertigo, 18 Aug →
34%Best headshot accuracy · 13–2 · vertigo, 21 Aug →
445msFastest reaction time · 8–8 · inferno, 5 Aug →
13–0Biggest win · train, 10 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 67% over 12ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
vertigoA1911–858%-0.03
infernoD174–1324%-0.09
nukeB137–654%-0.05
overpassS128–467%-0.02
cacheB115–645%-0.04
ancientD102–820%-0.05
trainB63–350%-0.01
anubisD51–420%-0.04
mirage—21–150%-0.01
dust2—21–150%-0.05
shelter—22–0100%-0.03
boulder—11–0100%0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,627Lifetime kills
0.80K/D
2,789Matches
41.5%Match win rate
49.1%Headshot % · Top 25% of Level 2 players
9.3%Shot accuracy
4,594MVPs
1,043Hours (in match)
5,324Bombs planted
447Bombs defused

Most-used weapons

Lifetime map wins

5,893nuke
3,158vertigo
2,642inferno
1,569train
1,048dust2
67office
59lake
40italy

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

Faceit stats

Combat

49Matches
41%Win rate
0.79Avg K/D
75.2ADR
46%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke771%1.2015.9
Ancient333%0.9513.0
Overpass20%0.529.5
Vertigo250%0.9414.0
Mirage250%0.7610.5
Inferno1100%1.1416.0
Anubis10%0.7417.0
Dust21100%1.0520.0

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.

16.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.5%Spray accuracy
65.9%Counter-strafing
10.1°Preaim
622msReaction time
32.6%T opening success
25.4%CT opening success
0.29Enemies flashed / flash
5.5%Flash assists
7.31HE damage / grenade
2.40Flashes / 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. 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 0.2852 — 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 32.6199% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke8–13-0.0623%11 Oct →
vertigo6–13-0.0417%11 Oct →
overpass9–4-0.0917%11 Oct →
vertigo10–2-0.033%11 Oct →
vertigo11–13-0.0617%1 Oct →
vertigo5–13-0.0421%1 Oct →
cache13–5-0.0112%24 Sept →
vertigo13–100.0121%24 Sept →
anubis10–13-0.0112%23 Sept →
inferno9–30.0721%23 Sept →
overpass13–90.0423%23 Sept →
nuke13–70.0522%23 Sept →
vertigo9–13-0.0419%23 Sept →
inferno6–9-0.1217%23 Sept →
overpass5–13-0.0518%19 Sept →
inferno2–13-0.076%18 Sept →
cache13–11-0.0319%18 Sept →
nuke13–80.0021%18 Sept →
cache7–13-0.0412%18 Sept →
anubis2–13-0.0216%18 Sept →
ancient4–13-0.0710%18 Sept →
inferno1–13-0.0410%18 Sept →
overpass13–11-0.059%6 Sept →
vertigo11–13-0.068%6 Sept →
anubis10–13-0.0810%5 Sept →
nuke6–13-0.0613%5 Sept →
cache6–13-0.1133%5 Sept →
mirage4–13-0.0413%5 Sept →
ancient5–130.0029%5 Sept →
vertigo13–5-0.0221%2 Sept →
vertigo13–6-0.0315%2 Sept →
inferno6–9-0.0719%2 Sept →
inferno0–9-0.2710%2 Sept →
overpass12–12-0.0624%26 Aug →
vertigo13–9-0.0116%26 Aug →
overpass13–6-0.049%24 Aug →
train12–12-0.0114%24 Aug →
vertigo13–5-0.0528%24 Aug →
inferno7–9-0.1017%24 Aug →
overpass13–10-0.0018%22 Aug →
dust212–12-0.0124%21 Aug →
overpass13–20.0029%21 Aug →
vertigo13–20.0234%21 Aug →
inferno6–9-0.2018%21 Aug →
inferno9–5-0.0522%21 Aug →
nuke9–6-0.026%18 Aug →
dust213–4-0.1025%18 Aug →
inferno6–13-0.0713%18 Aug →
nuke13–7-0.1414%18 Aug →
inferno7–9-0.0913%18 Aug →
nuke4–9-0.1412%18 Aug →
vertigo9–60.1528%18 Aug →
inferno9–5-0.0624%18 Aug →
inferno9–13-0.0419%16 Aug →
nuke8–13-0.0115%16 Aug →
vertigo13–11-0.0913%15 Aug →
overpass6–13-0.0121%15 Aug →
overpass7–40.0426%10 Aug →
train13–00.0618%10 Aug →
vertigo12–12-0.0532%10 Aug →
vertigo13–10-0.0513%6 Aug →
nuke12–12-0.0412%6 Aug →
ancient10–13-0.0530%6 Aug →
mirage13–70.018%6 Aug →
ancient10–13-0.045%5 Aug →
cache6–13-0.0612%5 Aug →
inferno8–8-0.0815%5 Aug →
vertigo1–9-0.1425%5 Aug →
ancient3–13-0.0415%26 Jul →
inferno7–13-0.0518%20 Jul →
anubis13–7-0.076%20 Jul →
ancient13–10-0.0011%20 Jul →
cache13–60.0316%20 Jul →
train13–7-0.019%20 Jul →
overpass3–130.0313%20 Jul →
ancient13–10.0318%19 Jul →
overpass13–7-0.0516%19 Jul →
vertigo11–13-0.048%19 Jul →
cache12–12-0.0122%17 Jul →
vertigo13–9-0.0510%17 Jul →
train13–100.0016%17 Jul →
train11–13-0.0820%13 Jul →
shelter12–80.0114%13 Jul →
anubis6–13-0.0415%11 Jul →
cache16–13-0.0214%11 Jul →
ancient2–13-0.0815%11 Jul →
nuke13–7-0.067%10 Jul →
ancient11–13-0.1314%10 Jul →
cache7–13-0.1012%10 Jul →
ancient2–13-0.0910%10 Jul →
cache7–13-0.0811%10 Jul →
nuke13–4-0.068%10 Jul →
inferno13–11-0.0223%10 Jul →
nuke2–13-0.0633%10 Jul →
inferno3–9-0.2018%10 Jul →
shelter13–9-0.069%9 Jul →
boulder13–30.0925%9 Jul →
nuke13–11-0.0213%8 Jul →
cache13–50.0017%8 Jul →
train8–13-0.0218%8 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.