Jin-Woo-Sung

Jin-Woo-Sung — CS2 Stats

LI76561198083293442[U:1:123027714]Steam profile ↗✓ No bans

2,748Tracked matches44%Win rate2020Tracked since
CSDB Rating5.4 DevelopingSupport
FaceitLevel 9 · 1,753 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,748 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,522 -705 26 Feb – 2 May · 27 days played
20,03822,308peak 22,30826 Feb2 May
22,326Peak Premier in tracked matches
1,753Highest Faceit ELO seen on CSDB
31Days played since 2026-02-26

Faceit ELO

  • At peak — 1,753
  • Next: Level 10 at 2,001 — 248 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-07
  • Level 8 first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGJin-Woo-SungFACEITLevel 9 · 1,753 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,753csdb.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

Aim68
Positioning46
Utility63

0–100 skill scores via Leetify.

Recent form

COLD44–51–5Last 10044%Win rateLLWWLLLTWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.6pp headshot accuracy · −133ms 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 -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 644ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 609ms

Last 20

  • 5–12–3 · 25% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 675ms

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 (+1.9 against its own average).

Aim6.8
Utility6.3
Positioning4.6
Opening Duels2.9
Clutch3.8

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.

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 657ms 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

Aim6.8
Positioning4.6
Utility6.3
Mechanics7.5
Opening Duels3.0
Win Impact3.1

Composite 5.4/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time665ms+14ms
first ⅓ avg 652ms → last ⅓ avg 665ms
Headshot accuracy21.6%+5.0%
first ⅓ avg 16.6% → last ⅓ avg 21.6%

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

0.14Best match rating · 13–4 · anubis, 11 Mar →
100%Best headshot accuracy · 0–2 · mirage, 9 Apr →
469msFastest reaction time · 13–11 · overpass, 15 Mar →
13–1Biggest win · inferno, 8 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
15–11In matches decided by ≤2 rounds
15Overtime games

Map breakdown

nukeBest map · 63% over 8ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%0.01
mirageB178–947%-0.01
dust2C145–936%-0.02
anubisB126–650%0.01
ancientD124–833%0.00
overpassC94–544%0.01
nukeA85–363%0.03
cache—31–233%-0.02
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,111Matches
50%Win rate
1.08Avg K/D
80.9ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage42545%1.0415.8
Ancient42352%1.1216.8
Anubis37353%1.0916.5
Inferno36548%1.1316.5
Dust211748%1.0015.6
Vertigo10048%1.0716.0
Nuke8652%0.9914.8
Overpass6949%1.0816.6

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.

19.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
35.0%Spray accuracy
83.6%Counter-strafing
9.5°Preaim
657msReaction time
26.4%T opening success
54.2%CT opening success
0.67Enemies flashed / flash
4.6%Flash assists
11.96HE damage / grenade
11.05Flashes / 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 26.357% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0218%27 Aug →
cache4–13-0.0818%16 Aug →
dust213–8-0.0120%16 Aug →
cache13–20.0741%15 May →
vertigo10–13-0.0416%8 May →
nuke9–130.0331%2 May →
cache1–13-0.0529%2 May →
nuke15–15-0.0316%27 Apr →
anubis13–110.0227%20 Apr →
overpass9–13-0.0320%9 Apr →
mirage0–2-0.04100%9 Apr →
dust213–11-0.0421%9 Apr →
mirage3–13-0.0314%9 Apr →
mirage8–13-0.039%8 Apr →
inferno13–10.0332%8 Apr →
dust210–13-0.0710%3 Apr →
inferno7–130.0618%2 Apr →
nuke11–130.1321%2 Apr →
mirage15–150.0415%2 Apr →
dust215–150.0119%30 Mar →
mirage13–40.0225%30 Mar →
ancient5–13-0.0425%26 Mar →
mirage13–90.0319%26 Mar →
inferno13–110.0517%26 Mar →
ancient12–16-0.0510%25 Mar →
ancient11–13-0.0014%25 Mar →
ancient16–12-0.0113%22 Mar →
overpass13–50.0619%22 Mar →
anubis16–140.0116%21 Mar →
inferno13–110.0117%21 Mar →
inferno13–110.0517%21 Mar →
inferno4–130.015%15 Mar →
ancient11–130.0422%15 Mar →
overpass13–4-0.006%15 Mar →
overpass6–13-0.0815%15 Mar →
dust23–13-0.0118%15 Mar →
ancient8–130.007%15 Mar →
inferno8–13-0.0512%15 Mar →
dust213–7-0.069%15 Mar →
nuke16–120.0114%15 Mar →
overpass8–13-0.0418%15 Mar →
inferno13–11-0.028%15 Mar →
overpass13–110.1115%15 Mar →
inferno9–130.0226%14 Mar →
dust215–150.0326%14 Mar →
mirage13–2-0.0013%14 Mar →
inferno9–130.0523%14 Mar →
anubis10–130.0024%13 Mar →
inferno13–40.0630%13 Mar →
mirage7–13-0.0910%13 Mar →
ancient13–60.0722%13 Mar →
anubis11–130.0421%13 Mar →
anubis16–140.0015%13 Mar →
dust27–13-0.0218%12 Mar →
overpass13–90.1417%12 Mar →
mirage13–30.0323%12 Mar →
inferno5–13-0.0113%12 Mar →
dust25–13-0.0915%11 Mar →
anubis13–40.1424%11 Mar →
ancient13–90.0028%11 Mar →
mirage7–5-0.0627%11 Mar →
inferno13–7-0.0326%11 Mar →
inferno13–2-0.0116%11 Mar →
dust210–130.0618%7 Mar →
anubis5–13-0.0411%7 Mar →
anubis10–130.0323%7 Mar →
ancient15–150.0523%7 Mar →
overpass9–13-0.0313%6 Mar →
inferno10–130.0222%6 Mar →
anubis13–80.068%5 Mar →
inferno16–14-0.0126%5 Mar →
nuke13–10-0.0220%5 Mar →
inferno13–60.0825%5 Mar →
mirage9–13-0.0517%4 Mar →
dust214–160.0113%4 Mar →
inferno4–13-0.0620%3 Mar →
nuke13–110.0223%3 Mar →
mirage10–13-0.0614%3 Mar →
nuke13–50.0625%3 Mar →
anubis3–13-0.064%3 Mar →
anubis13–9-0.0311%2 Mar →
inferno13–70.0116%2 Mar →
nuke16–130.0813%2 Mar →
mirage11–13-0.0417%2 Mar →
dust213–100.0013%2 Mar →
anubis4–13-0.028%1 Mar →
ancient6–13-0.0411%1 Mar →
dust216–14-0.0121%1 Mar →
mirage13–110.0124%1 Mar →
inferno11–130.0622%1 Mar →
inferno14–160.0317%28 Feb →
mirage13–90.0719%28 Feb →
dust27–130.0024%28 Feb →
mirage11–13-0.0014%28 Feb →
ancient13–20.0013%28 Feb →
inferno8–130.0015%28 Feb →
mirage13–110.0317%28 Feb →
inferno8–13-0.0416%27 Feb →
ancient11–13-0.0013%27 Feb →
overpass10–13-0.0714%26 Feb →

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.