Jang

Jang — CS2 Stats

76561198181666579[U:1:221400851]Steam profile ↗✓ No bans

535Tracked matches57%Win rate2022Tracked since
CSDB Rating7.4 StrongPositional Player
CSDB Leaderboard#70281 of 251410 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

+64Tracked matches · now 535
+8.9ppWin rate · 48.3% → 57.1%

Rating over time

20,744Peak Premier on CSDB
25Days played since 2026-08-15

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGJangFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim87
Positioning65
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWWLLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.06 avg rating · +2.8pp headshot accuracy · +51ms reaction

Win rate 0pp 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 27%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 560ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 534ms

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 against its own average).

Aim8.7
Utility5.3
Positioning6.5
Opening Duels5.5
Clutch4.8

Sharp aimerEffective flashes

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 98% playstyle similarity

Most alike: opening-duel success, 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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

T openings. 79% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 79% on T to 47% on CT — first contacts on the defending side are being lost.

Reaction time. 561ms 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

Aim8.7
Positioning6.5
Utility5.3
Mechanics8.4
Opening Duels7.2
Win Impact7.4

Composite 7.4/10 (Strong), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time563ms+1ms
first ⅓ avg 562ms → last ⅓ avg 563ms
Headshot accuracy24.9%−0.1%
first ⅓ avg 25.0% → last ⅓ avg 24.9%

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

0.17Best match rating · 13–3 · cache, 19 Sept →
55%Best headshot accuracy · 8–13 · dust2, 28 Aug →
406msFastest reaction time · 6–13 · inferno, 6 Sept →
13–2Biggest win · inferno, 19 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 71% over 24dust2Weakest map · 29% over 24
MapGradePlayedRecordWin rateAvg rating
infernoS2417–771%0.02
dust2D247–1729%0.02
mirageB1910–953%-0.00
cacheS139–469%0.03
nukeB105–550%-0.01
anubisB84–450%-0.02
ancient—22–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (29% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

999Matches
57%Win rate
1.26Avg K/D
80.3ADR
45%Headshot %

Clutches & streaks

44%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage3348%0.9215.9
Inferno2560%1.1117.9
Dust21942%1.2716.5
Anubis1547%1.0813.7
Cache1164%1.2015.4
Nuke967%0.8814.2
Overpass786%0.9816.0
Ancient1100%0.7512.0

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.

24.1%Headshot accuracy
35.7%Accuracy (enemy spotted)
34.0%Spray accuracy
87.7%Counter-strafing
7.2°Preaim
561msReaction time
78.6%T opening success
47.2%CT opening success
0.73Enemies flashed / flash
6.3%Flash assists
6.67HE damage / grenade
8.08Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

29% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0724%10 Oct →
anubis13–70.0121%9 Oct →
dust29–130.0227%9 Oct →
nuke4–13-0.0925%9 Oct →
mirage4–13-0.1038%9 Oct →
inferno16–140.0329%9 Oct →
dust211–130.0219%9 Oct →
inferno13–80.0730%9 Oct →
cache5–13-0.0316%4 Oct →
nuke13–110.0328%2 Oct →
inferno13–100.0120%1 Oct →
mirage13–100.0215%1 Oct →
dust213–30.0633%25 Sept →
dust213–30.1730%24 Sept →
mirage8–130.095%24 Sept →
dust212–12-0.0321%23 Sept →
inferno12–120.0318%23 Sept →
dust25–130.0018%20 Sept →
inferno13–20.1444%19 Sept →
nuke9–13-0.0324%19 Sept →
ancient13–50.0224%19 Sept →
dust210–13-0.0817%19 Sept →
mirage13–7-0.0126%19 Sept →
cache11–130.0340%19 Sept →
cache13–30.1725%19 Sept →
dust213–70.0216%19 Sept →
cache13–60.0629%18 Sept →
nuke5–13-0.0912%18 Sept →
mirage22–200.0227%18 Sept →
dust211–13-0.0027%18 Sept →
inferno10–13-0.0123%18 Sept →
anubis13–10-0.0350%18 Sept →
nuke13–70.1520%12 Sept →
dust29–130.0233%12 Sept →
cache13–70.0223%12 Sept →
ancient13–80.0413%12 Sept →
nuke4–13-0.0833%11 Sept →
cache7–130.0322%11 Sept →
dust213–30.0337%11 Sept →
nuke13–50.0626%11 Sept →
inferno13–40.0723%11 Sept →
dust213–60.0315%11 Sept →
cache13–110.0321%6 Sept →
dust213–20.0824%6 Sept →
inferno6–13-0.0126%6 Sept →
inferno13–50.0924%5 Sept →
cache16–120.0224%5 Sept →
mirage16–13-0.0224%5 Sept →
dust211–130.0115%5 Sept →
inferno11–130.0934%5 Sept →
nuke13–50.0429%5 Sept →
mirage9–130.0029%5 Sept →
cache13–100.0321%5 Sept →
anubis8–13-0.0115%4 Sept →
inferno13–50.0416%4 Sept →
anubis3–13-0.0719%4 Sept →
mirage10–130.0517%4 Sept →
mirage13–10-0.0521%4 Sept →
nuke6–13-0.0519%2 Sept →
cache13–10-0.0036%29 Aug →
inferno13–110.0230%29 Aug →
inferno13–11-0.0524%29 Aug →
anubis8–130.0120%29 Aug →
mirage13–9-0.0318%29 Aug →
dust28–130.0328%29 Aug →
dust29–13-0.0229%28 Aug →
mirage8–13-0.0722%28 Aug →
dust210–130.0629%28 Aug →
mirage14–16-0.0416%28 Aug →
inferno14–16-0.0419%28 Aug →
anubis9–13-0.0827%28 Aug →
dust28–130.0455%28 Aug →
inferno13–110.0836%27 Aug →
cache13–3-0.0321%27 Aug →
dust25–13-0.0221%23 Aug →
mirage2–13-0.0232%23 Aug →
cache6–13-0.0142%23 Aug →
inferno13–7-0.0628%23 Aug →
mirage13–2-0.0119%22 Aug →
inferno13–3-0.0119%22 Aug →
mirage4–13-0.0223%22 Aug →
cache13–30.0217%22 Aug →
dust213–8-0.0225%22 Aug →
inferno13–50.0733%22 Aug →
anubis13–90.0528%22 Aug →
mirage7–130.0636%22 Aug →
dust212–120.0321%22 Aug →
dust214–160.0216%21 Aug →
inferno13–11-0.0122%21 Aug →
mirage13–70.0717%21 Aug →
anubis13–9-0.0521%21 Aug →
inferno13–11-0.0315%21 Aug →
mirage13–40.0016%18 Aug →
dust211–13-0.0316%18 Aug →
dust212–120.0022%18 Aug →
inferno3–13-0.0227%18 Aug →
mirage13–110.0431%15 Aug →
inferno12–120.0019%15 Aug →
inferno13–60.0331%15 Aug →
nuke13–8-0.0124%15 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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