Juky San

Juky San — CS2 Stats

76561198778471147[U:1:818205419]Steam profile ↗✓ No bans

125Tracked matches53%Win rate2025Tracked since
CSDB Rating5.2 DevelopingClutch Specialist
Premier CS Rating11,714Blue band · top ~45.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 11,714 +2,364 1 Dec – 4 Nov · 31 days played
5,90112,631peak 12,6311 Dec4 Nov
12,631Peak Premier in tracked matches
56Days played since 2025-12-01

Premier CS Rating

  • 917 below peak (12,631)
  • +1,636 over 30 days · improving
  • Next: Purple band at 15,000 — 3,286 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-21
  • Light Blue band first seen 2026-09-21

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

Share this profile

CSDB.GGJuky SanPREMIER11,714 · Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning41
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY50–50Last 10050%Win rateLWLWLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −5.9pp headshot accuracy · +88ms 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 -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 624ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 613ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 569ms

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 (+5 against its own average).

Aim7.2
Utility4.6
Positioning4.1
Opening Duels1.3
Clutch10.0

Reliable 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

b1t

Plays most like b1t 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 593ms 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

Aim7.2
Positioning4.1
Utility4.6
Mechanics6.4
Opening Duels2.3
Win Impact6.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time605ms−57ms
first ⅓ avg 661ms → last ⅓ avg 605ms
Headshot accuracy15.3%−4.2%
first ⅓ avg 19.4% → last ⅓ avg 15.3%

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

0.09Best match rating · 13–0 · dust2, 7 Jun →
41%Best headshot accuracy · 7–13 · ancient, 12 Jun →
406msFastest reaction time · 3–13 · inferno, 24 Apr →
13–0Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

anubisBest map · 83% over 6mirageWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%-0.03
mirageC2410–1442%-0.02
ancientB1910–953%-0.02
dust2B168–850%-0.01
anubisS65–183%-0.03
overpass—42–250%0.01
cache—20–20%-0.01
nuke—20–20%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 24). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.87Avg K/D
63.9ADR
51%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.609.0
Inferno1100%1.2012.0
Overpass10%0.8012.0

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.

14.8%Headshot accuracy
35.2%Accuracy (enemy spotted)
38.7%Spray accuracy
78.7%Counter-strafing
8.0°Preaim
593msReaction time
41.2%T opening success
37.5%CT opening success
0.55Enemies flashed / flash
9.1%Flash assists
4.58HE damage / grenade
5.06Flashes / 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 14.7863% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.5137% — below the 40% mark we flag

Spend your practice time on Mirage

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

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.048%9 Nov →
ancient13–70.0419%9 Nov →
mirage7–13-0.067%7 Nov →
inferno13–5-0.1212%7 Nov →
dust26–13-0.0112%7 Nov →
mirage13–2-0.0112%7 Nov →
dust27–13-0.0024%4 Nov →
mirage13–4-0.016%3 Nov →
inferno13–4-0.087%3 Nov →
ancient13–16-0.088%3 Nov →
inferno3–13-0.0425%1 Nov →
inferno13–50.0214%26 Oct →
anubis13–10-0.0316%26 Oct →
inferno13–8-0.0223%25 Oct →
cache7–13-0.0129%25 Oct →
ancient13–30.039%25 Oct →
dust210–13-0.0122%25 Oct →
dust28–13-0.0513%22 Oct →
anubis13–11-0.0612%22 Oct →
ancient13–90.039%21 Oct →
nuke8–13-0.0115%21 Oct →
ancient13–60.0824%21 Oct →
anubis16–12-0.0323%17 Oct →
ancient13–20.0313%17 Oct →
anubis5–13-0.068%8 Oct →
inferno13–0-0.0019%8 Oct →
ancient8–13-0.105%8 Oct →
cache11–13-0.0116%4 Oct →
ancient2–13-0.0032%2 Oct →
ancient13–8-0.0510%2 Oct →
nuke5–13-0.1019%27 Sept →
dust29–13-0.0226%7 Sept →
mirage13–60.0313%6 Sept →
dust27–13-0.0220%6 Sept →
inferno9–13-0.0718%6 Sept →
ancient13–20.0119%5 Sept →
ancient13–5-0.1010%5 Sept →
ancient13–8-0.074%4 Sept →
mirage11–13-0.059%4 Sept →
ancient13–9-0.0522%4 Sept →
inferno10–13-0.0716%3 Sept →
inferno13–10-0.0414%3 Sept →
inferno13–30.0211%1 Sept →
mirage11–13-0.0426%1 Sept →
mirage13–50.0230%31 Aug →
mirage13–60.0623%31 Aug →
anubis13–10-0.0020%28 Aug →
dust213–5-0.0718%27 Aug →
inferno13–30.0314%27 Aug →
dust213–20.0024%27 Aug →
dust216–12-0.0227%12 Aug →
anubis13–100.0216%29 Jul →
inferno13–11-0.0217%13 Jul →
dust210–13-0.0225%13 Jul →
ancient2–13-0.0031%10 Jul →
dust213–90.0318%8 Jul →
mirage0–4-0.040%13 Jun →
mirage7–13-0.0621%13 Jun →
ancient7–13-0.0241%12 Jun →
inferno13–9-0.0428%9 Jun →
inferno13–7-0.0320%8 Jun →
mirage13–11-0.0121%8 Jun →
dust213–00.0927%7 Jun →
mirage13–90.0113%6 Jun →
inferno13–7-0.0217%5 Jun →
inferno9–13-0.0332%5 Jun →
mirage13–40.0824%5 Jun →
overpass6–13-0.0421%4 Jun →
dust213–50.0626%3 Jun →
inferno9–13-0.0416%1 Jun →
mirage9–13-0.0120%31 May →
mirage13–110.0117%30 May →
inferno11–13-0.0111%30 May →
mirage4–13-0.1116%30 May →
mirage10–13-0.0623%29 May →
overpass11–130.0333%29 May →
ancient14–160.0121%18 May →
inferno11–130.0131%1 May →
mirage1–13-0.0822%1 May →
overpass13–30.0714%26 Apr →
mirage13–100.0132%26 Apr →
inferno3–13-0.028%24 Apr →
inferno16–13-0.0023%24 Apr →
mirage7–13-0.0211%24 Apr →
dust26–13-0.1011%23 Apr →
ancient5–13-0.0323%23 Apr →
mirage9–13-0.0840%23 Apr →
mirage7–13-0.0520%30 Mar →
inferno4–13-0.0112%22 Mar →
ancient3–13-0.0316%22 Mar →
mirage8–13-0.0811%22 Mar →
mirage6–13-0.0124%6 Jan →
ancient8–13-0.0214%5 Jan →
dust213–7-0.0614%1 Jan →
dust213–90.0214%21 Dec →
inferno14–16-0.0523%21 Dec →
overpass13–8-0.0426%18 Dec →
inferno13–11-0.0716%17 Dec →
inferno5–13-0.0615%3 Dec →
inferno13–90.0120%1 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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