Sjin Fugi

Sjin Fugi — CS2 Stats

76561198189861747[U:1:229596019]Steam profile ↗✓ No bans

319Tracked matches53%Win rate2020Tracked since
1,157Hours in CS
CSDB Rating3.6 LearningPositional Player
Premier CS Rating14,612Blue band · top ~30.5% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (27 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: 14,612 -266 27 Jun – 5 Oct · 40 days played
12,78515,110peak 15,11027 Jun5 Oct
15,137Peak Premier in tracked matches
43Days played since 2026-06-27

Premier CS Rating

  • 498 below peak (15,110)
  • -286 over 30 days · steady
  • +800 over 90 days
  • Next: Purple band at 15,000 — 388 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-01

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate31.8%42.0%44.4%12.6% short
Shot accuracy13.8%9.6%11.9%above
Kill/death ratio0.760.981.030.28 short
Match win rate47.9%43.8%45.2%above

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSjin FugiPREMIER14,612 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning39
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWLLLWWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +2.0pp headshot accuracy · +117ms 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 -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 681ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 628ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 570ms

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).

Aim4.1
Utility3.4
Positioning3.9
Opening Duels1.2
Clutch0.4

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim4.1
Positioning3.9
Utility3.4
Mechanics3.2
Opening Duels1.5
Win Impact6.1

Composite 3.6/10 (Learning), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time560ms−35ms
first ⅓ avg 594ms → last ⅓ avg 560ms
Headshot accuracy11.9%+1.8%
first ⅓ avg 10.1% → last ⅓ avg 11.9%

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

0.14Best match rating · 13–9 · nuke, 12 Jul →
21%Best headshot accuracy · 13–4 · cache, 16 Aug →
445msFastest reaction time · 6–13 · dust2, 12 Jul →
13–1Biggest win · ancient, 11 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 60% over 20dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
infernoA2012–860%-0.00
anubisB209–1145%-0.00
ancientA1911–858%0.00
nukeC167–944%-0.01
dust2D134–931%-0.01
cacheB63–350%-0.01
mirage—22–0100%-0.04
overpass—20–20%0.01
vertigo—11–0100%0.10
italy—11–0100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,744Lifetime kills
0.76K/D
3,189Matches
47.9%Match win rate · Top 25% of Blue band
31.8%Headshot %
13.8%Shot accuracy · Top 50% of Blue band
6,618MVPs
1,157Hours (in match)
3,819Bombs planted
520Bombs defused

Most-used weapons

P907,359
AK-476,892
AWP3,699
MP72,257
SG 5531,959
Tec-91,833
P2501,554
AUG1,448

Lifetime map wins

7,166inferno
4,158dust2
2,069nuke
1,489cbble
655italy
564train
472vertigo
290office

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

Faceit stats

Combat

17Matches
35%Win rate
1.02Avg K/D
80.7ADR
27%Headshot %

Clutches & streaks

22%1v1 clutch win
9%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.9512.8
Dust2450%1.1417.3
Ancient450%0.8618.0
Mirage10%0.7710.0

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.

11.8%Headshot accuracy
32.3%Accuracy (enemy spotted)
33.0%Spray accuracy
64.6%Counter-strafing
11.0°Preaim
562msReaction time
33.1%T opening success
39.2%CT opening success
0.34Enemies flashed / flash
3.1%Flash assists
9.61HE damage / grenade
3.35Flashes / 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 11.814% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3388 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 33.1413% — below the 40% mark we flag

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.

31% win rate across 13 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
dust26–130.0017%5 Oct →
nuke13–100.0010%27 Sept →
inferno16–13-0.0114%20 Sept →
ancient9–130.0118%19 Sept →
cache10–13-0.0410%13 Sept →
dust210–13-0.0413%12 Sept →
mirage13–11-0.0513%11 Sept →
ancient13–60.0414%6 Sept →
anubis10–13-0.056%5 Sept →
anubis13–11-0.0014%3 Sept →
ancient13–4-0.032%3 Sept →
nuke4–130.0318%28 Aug →
mirage13–10-0.032%24 Aug →
nuke16–14-0.0111%24 Aug →
anubis11–13-0.0311%23 Aug →
inferno13–110.0311%23 Aug →
anubis10–13-0.009%22 Aug →
nuke10–13-0.0610%16 Aug →
inferno13–7-0.0116%16 Aug →
cache13–40.0121%16 Aug →
ancient13–30.0113%15 Aug →
nuke9–13-0.0310%15 Aug →
anubis6–130.0014%15 Aug →
anubis13–6-0.0210%15 Aug →
anubis13–110.0111%14 Aug →
dust25–13-0.0116%14 Aug →
dust213–70.039%14 Aug →
inferno10–130.0212%14 Aug →
nuke13–80.0610%14 Aug →
nuke10–13-0.0311%12 Aug →
ancient13–70.0515%12 Aug →
anubis11–13-0.016%12 Aug →
nuke13–110.0215%11 Aug →
inferno10–130.038%11 Aug →
ancient13–10.0518%11 Aug →
dust213–40.0317%11 Aug →
cache6–10.0511%10 Aug →
nuke13–70.0412%10 Aug →
cache10–13-0.0017%8 Aug →
ancient13–40.039%8 Aug →
dust215–15-0.0216%8 Aug →
dust213–11-0.0214%8 Aug →
anubis5–13-0.047%5 Aug →
ancient7–13-0.0618%5 Aug →
cache2–13-0.0521%4 Aug →
inferno13–80.0814%1 Aug →
inferno13–4-0.0414%31 Jul →
vertigo13–40.1010%31 Jul →
italy13–4-0.056%25 Jul →
anubis13–110.119%25 Jul →
inferno13–11-0.034%25 Jul →
ancient5–130.062%24 Jul →
anubis13–7-0.028%23 Jul →
ancient6–13-0.0511%22 Jul →
nuke9–13-0.063%21 Jul →
nuke13–11-0.038%20 Jul →
anubis8–130.025%19 Jul →
ancient10–130.0114%19 Jul →
inferno13–5-0.055%19 Jul →
anubis16–13-0.025%18 Jul →
anubis7–130.0011%18 Jul →
inferno11–13-0.0212%18 Jul →
inferno12–16-0.0610%17 Jul →
cache13–11-0.0213%16 Jul →
anubis10–13-0.060%16 Jul →
anubis9–13-0.0117%12 Jul →
nuke9–13-0.0312%12 Jul →
inferno13–10-0.0314%12 Jul →
dust23–13-0.079%12 Jul →
ancient15–15-0.0117%12 Jul →
anubis13–50.009%12 Jul →
inferno10–130.0411%12 Jul →
dust26–130.0417%12 Jul →
nuke13–90.1413%12 Jul →
inferno7–130.0011%11 Jul →
ancient13–8-0.0810%11 Jul →
inferno13–70.027%11 Jul →
nuke4–13-0.119%11 Jul →
ancient13–3-0.0512%11 Jul →
anubis4–13-0.102%11 Jul →
anubis13–30.134%9 Jul →
dust29–130.015%9 Jul →
ancient13–8-0.0215%5 Jul →
ancient13–80.038%5 Jul →
inferno3–13-0.032%5 Jul →
overpass3–13-0.0415%5 Jul →
inferno13–80.0213%5 Jul →
anubis13–70.079%5 Jul →
ancient13–70.034%5 Jul →
inferno16–14-0.066%2 Jul →
nuke11–13-0.027%2 Jul →
dust213–3-0.0214%2 Jul →
ancient11–13-0.019%29 Jun →
nuke8–13-0.0510%29 Jun →
inferno9–130.0819%28 Jun →
overpass6–130.0612%28 Jun →
dust28–13-0.0613%27 Jun →
ancient11–130.005%27 Jun →
inferno13–10-0.0312%27 Jun →
dust215–150.0511%27 Jun →

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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